
 # subdomains  in x-direction nsx =     1
 # subdomains  in y-direction nsy =     1

 # control subdomain ncontrol =     0

 Global # elements  in x-direction ngx =   400
 Global # elements  in y-direction ngy =   400

 Local # elements  in x-direction nx =   400
 Local # elements  in y-direction ny =   400

  processor grid size in the x-dir  hpx =        200.00000    
  processor grid size in the y-dir  hpy  =        200.00000    

  domain size xsize =       0.20000000E+03 m

  domain size ysize =       0.20000000E+03 m

   maxlow (max.iter. in low freq range ) =   4000 perclow ( perc. of(low) freq. solved with maxlow =       0.50000000E-01

  rounded xsize =       0.20000000E+03 m ; 
 rounded ysize =       0.20000000E+03 m 


  mesh size h=       0.50000000E+00 m

  number of snapshots in freq. domain=     1

  freq. to compute  snapshots in freq.domain
    1         0.30000000E-01 kHz

  number of snapshots in time domain=     4

  times to compute  snapshots in time domain
    1         0.10000000E+02 msec

  times to compute  snapshots in time domain
    2         0.20000000E+02 msec

  times to compute  snapshots in time domain
    3         0.25000000E+02 msec

  times to compute  snapshots in time domain
    4         0.30000000E+02 msec

  quadrature choice=1,standard,=2,mid point
  keyqua =     2

  number of points to compute solution= 
 in the frequency domain    npf  =   200

   key==1 for type 1 source (tsang&rader paper) ;
       key==2 for type 2 source(gaussian derivative)             ;    2



   frequency  freq=       0.70000000E+00 khz



  w0 =       0.43982297E+01  alfa =       0.11060000E+01



  total simulation time  stime =        0.10000000E+03 msec


   parameters of  source band-pass filter

 set equal to 0. if not filter is desired

 f1  =       0.00000000E+00   khz 

 f2  =       0.00000000E+00   khz 

 f3  =       0.14000000E+01   khz 

 f4  =       0.15000000E+01   khz 



   maxiter =  max. # inner iterations  4000

   reduc =  relative error required        0.10000000E-03

  number of materials (nmat) =     6

  mat. number   density (ros)    bulk modulus (xkr)   Shear modulus (xmur)


     1          0.260000E+07     0.133000E+07          0.850000E+06

     2          0.260000E+07     0.133000E+07          0.850000E+06

     3          0.260000E+07     0.133000E+07          0.850000E+06

     4          0.260000E+07     0.133000E+07          0.850000E+06

     5          0.260000E+07     0.133000E+07          0.850000E+06

     6          0.260000E+07     0.133000E+07          0.850000E+06


  mat. number  deltp (p-log.decr.)     delts (s-log.decr.)   


     1          0.000000E+00          0.000000E+00

     2          0.000000E+00          0.000000E+00

     3          0.000000E+00          0.000000E+00

     4          0.000000E+00          0.000000E+00

     5          0.000000E+00          0.000000E+00

     6          0.000000E+00          0.000000E+00


  mat. number   density (ros)    bulk modulus (xkr)   Shear modulus (xmur)


     1          0.260000E+07     0.133000E+07          0.850000E+06

     2          0.260000E+07     0.133000E+07          0.850000E+06

     3          0.260000E+07     0.133000E+07          0.850000E+06

     4          0.260000E+07     0.133000E+07          0.850000E+06

     5          0.260000E+07     0.133000E+07          0.850000E+06

     6          0.260000E+07     0.133000E+07          0.850000E+06


  bulmin-umin-bulmax-umax   

     0.13300E+07    0.85000E+06    0.13300E+07    0.85000E+06


 minimum  phase pp velocity   =  0.97336E+00 m/msec

 maximum  phase pp velocity  =  0.97336E+00 m/msec



 minimum  phase ss velocity   =  0.57177E+00 m/msec

 maximum  phase ss velocity  =  0.57177E+00 m/msec



 phase  velocity  pp1 =  0.97336E+00 m/msec

 phase velocity pp2 =  0.97336E+00 m/msec

 phase velocity ss1 =  0.57177E+00 m/msec

 phase velocity ss2 =  0.57177E+00 m/msec



   mat. number      fq1                     fq2    (Liu model)  


     1        0.10000000E-06 kHz       0.10000000E+08 kHz

     2        0.10000000E-06 kHz       0.10000000E+08 kHz

     3        0.10000000E-06 kHz       0.10000000E+08 kHz

     4        0.10000000E-06 kHz       0.10000000E+08 kHz

     5        0.10000000E-06 kHz       0.10000000E+08 kHz

     6        0.10000000E-06 kHz       0.10000000E+08 kHz

  material number     qp(i)  (Liu model)


     1              0.00000000E+00

     2              0.00000000E+00

     3              0.00000000E+00

     4              0.00000000E+00

     5              0.00000000E+00

     6              0.00000000E+00

  material number     const(i)       tau1(i)(msec)          tau2 (i)(msec) 


     1             0.000000E+00      0.159155E+07           0.159155E-07

     2             0.000000E+00      0.159155E+07           0.159155E-07

     3             0.000000E+00      0.159155E+07           0.159155E-07

     4             0.000000E+00      0.159155E+07           0.159155E-07

     5             0.000000E+00      0.159155E+07           0.159155E-07

     6             0.000000E+00      0.159155E+07           0.159155E-07

 Material  Number               Ref. Speed ve    relaxed  plane wave modulus xmr


            1                   0.97336E+00         0.24633E+07

            2                   0.97336E+00         0.24633E+07

            3                   0.97336E+00         0.24633E+07

            4                   0.97336E+00         0.24633E+07

            5                   0.97336E+00         0.24633E+07

            6                   0.97336E+00         0.24633E+07

  time step  dt =       0.10273657E+00 msec



  number of time steps  nt =    973



  kdel=0 : delta, kdel = 1:  d/dx(delta). kdel =      1

   mute in msec  tmute =       0.00000000E+00
 mute in samples   ntmute =     0


  jsou =     5  ksou =     5

  xsou =       0.20000000E+01 m ysou =       0.20000000E+01 m

  number of receivers, nrec =    80
  xinic    2.0000000000000000     

  yinic    2.0000000000000000     

  xfin    190.00000000000000     

  yfin    2.0000000000000000     

  deltarecx    2.3797468354430378     

  deltarecy    0.0000000000000000     


 receiver i =    1   irx & iry =     5    5
               rx(i) & ry(i) =   2.0000000      2.0000000      m

 receiver i =    2   irx & iry =     9    5
               rx(i) & ry(i) =   4.3797468      2.0000000      m

 receiver i =    3   irx & iry =    14    5
               rx(i) & ry(i) =   6.7594937      2.0000000      m

 receiver i =    4   irx & iry =    19    5
               rx(i) & ry(i) =   9.1392405      2.0000000      m

 receiver i =    5   irx & iry =    24    5
               rx(i) & ry(i) =   11.518987      2.0000000      m

 receiver i =    6   irx & iry =    28    5
               rx(i) & ry(i) =   13.898734      2.0000000      m

 receiver i =    7   irx & iry =    33    5
               rx(i) & ry(i) =   16.278481      2.0000000      m

 receiver i =    8   irx & iry =    38    5
               rx(i) & ry(i) =   18.658228      2.0000000      m

 receiver i =    9   irx & iry =    43    5
               rx(i) & ry(i) =   21.037975      2.0000000      m

 receiver i =   10   irx & iry =    47    5
               rx(i) & ry(i) =   23.417722      2.0000000      m

 receiver i =   11   irx & iry =    52    5
               rx(i) & ry(i) =   25.797468      2.0000000      m

 receiver i =   12   irx & iry =    57    5
               rx(i) & ry(i) =   28.177215      2.0000000      m

 receiver i =   13   irx & iry =    62    5
               rx(i) & ry(i) =   30.556962      2.0000000      m

 receiver i =   14   irx & iry =    66    5
               rx(i) & ry(i) =   32.936709      2.0000000      m

 receiver i =   15   irx & iry =    71    5
               rx(i) & ry(i) =   35.316456      2.0000000      m

 receiver i =   16   irx & iry =    76    5
               rx(i) & ry(i) =   37.696203      2.0000000      m

 receiver i =   17   irx & iry =    81    5
               rx(i) & ry(i) =   40.075949      2.0000000      m

 receiver i =   18   irx & iry =    85    5
               rx(i) & ry(i) =   42.455696      2.0000000      m

 receiver i =   19   irx & iry =    90    5
               rx(i) & ry(i) =   44.835443      2.0000000      m

 receiver i =   20   irx & iry =    95    5
               rx(i) & ry(i) =   47.215190      2.0000000      m

 receiver i =   21   irx & iry =   100    5
               rx(i) & ry(i) =   49.594937      2.0000000      m

 receiver i =   22   irx & iry =   104    5
               rx(i) & ry(i) =   51.974684      2.0000000      m

 receiver i =   23   irx & iry =   109    5
               rx(i) & ry(i) =   54.354430      2.0000000      m

 receiver i =   24   irx & iry =   114    5
               rx(i) & ry(i) =   56.734177      2.0000000      m

 receiver i =   25   irx & iry =   119    5
               rx(i) & ry(i) =   59.113924      2.0000000      m

 receiver i =   26   irx & iry =   123    5
               rx(i) & ry(i) =   61.493671      2.0000000      m

 receiver i =   27   irx & iry =   128    5
               rx(i) & ry(i) =   63.873418      2.0000000      m

 receiver i =   28   irx & iry =   133    5
               rx(i) & ry(i) =   66.253165      2.0000000      m

 receiver i =   29   irx & iry =   138    5
               rx(i) & ry(i) =   68.632911      2.0000000      m

 receiver i =   30   irx & iry =   143    5
               rx(i) & ry(i) =   71.012658      2.0000000      m

 receiver i =   31   irx & iry =   147    5
               rx(i) & ry(i) =   73.392405      2.0000000      m

 receiver i =   32   irx & iry =   152    5
               rx(i) & ry(i) =   75.772152      2.0000000      m

 receiver i =   33   irx & iry =   157    5
               rx(i) & ry(i) =   78.151899      2.0000000      m

 receiver i =   34   irx & iry =   162    5
               rx(i) & ry(i) =   80.531646      2.0000000      m

 receiver i =   35   irx & iry =   166    5
               rx(i) & ry(i) =   82.911392      2.0000000      m

 receiver i =   36   irx & iry =   171    5
               rx(i) & ry(i) =   85.291139      2.0000000      m

 receiver i =   37   irx & iry =   176    5
               rx(i) & ry(i) =   87.670886      2.0000000      m

 receiver i =   38   irx & iry =   181    5
               rx(i) & ry(i) =   90.050633      2.0000000      m

 receiver i =   39   irx & iry =   185    5
               rx(i) & ry(i) =   92.430380      2.0000000      m

 receiver i =   40   irx & iry =   190    5
               rx(i) & ry(i) =   94.810127      2.0000000      m

 receiver i =   41   irx & iry =   195    5
               rx(i) & ry(i) =   97.189873      2.0000000      m

 receiver i =   42   irx & iry =   200    5
               rx(i) & ry(i) =   99.569620      2.0000000      m

 receiver i =   43   irx & iry =   204    5
               rx(i) & ry(i) =   101.94937      2.0000000      m

 receiver i =   44   irx & iry =   209    5
               rx(i) & ry(i) =   104.32911      2.0000000      m

 receiver i =   45   irx & iry =   214    5
               rx(i) & ry(i) =   106.70886      2.0000000      m

 receiver i =   46   irx & iry =   219    5
               rx(i) & ry(i) =   109.08861      2.0000000      m

 receiver i =   47   irx & iry =   223    5
               rx(i) & ry(i) =   111.46835      2.0000000      m

 receiver i =   48   irx & iry =   228    5
               rx(i) & ry(i) =   113.84810      2.0000000      m

 receiver i =   49   irx & iry =   233    5
               rx(i) & ry(i) =   116.22785      2.0000000      m

 receiver i =   50   irx & iry =   238    5
               rx(i) & ry(i) =   118.60759      2.0000000      m

 receiver i =   51   irx & iry =   242    5
               rx(i) & ry(i) =   120.98734      2.0000000      m

 receiver i =   52   irx & iry =   247    5
               rx(i) & ry(i) =   123.36709      2.0000000      m

 receiver i =   53   irx & iry =   252    5
               rx(i) & ry(i) =   125.74684      2.0000000      m

 receiver i =   54   irx & iry =   257    5
               rx(i) & ry(i) =   128.12658      2.0000000      m

 receiver i =   55   irx & iry =   262    5
               rx(i) & ry(i) =   130.50633      2.0000000      m

 receiver i =   56   irx & iry =   266    5
               rx(i) & ry(i) =   132.88608      2.0000000      m

 receiver i =   57   irx & iry =   271    5
               rx(i) & ry(i) =   135.26582      2.0000000      m

 receiver i =   58   irx & iry =   276    5
               rx(i) & ry(i) =   137.64557      2.0000000      m

 receiver i =   59   irx & iry =   281    5
               rx(i) & ry(i) =   140.02532      2.0000000      m

 receiver i =   60   irx & iry =   285    5
               rx(i) & ry(i) =   142.40506      2.0000000      m

 receiver i =   61   irx & iry =   290    5
               rx(i) & ry(i) =   144.78481      2.0000000      m

 receiver i =   62   irx & iry =   295    5
               rx(i) & ry(i) =   147.16456      2.0000000      m

 receiver i =   63   irx & iry =   300    5
               rx(i) & ry(i) =   149.54430      2.0000000      m

 receiver i =   64   irx & iry =   304    5
               rx(i) & ry(i) =   151.92405      2.0000000      m

 receiver i =   65   irx & iry =   309    5
               rx(i) & ry(i) =   154.30380      2.0000000      m

 receiver i =   66   irx & iry =   314    5
               rx(i) & ry(i) =   156.68354      2.0000000      m

 receiver i =   67   irx & iry =   319    5
               rx(i) & ry(i) =   159.06329      2.0000000      m

 receiver i =   68   irx & iry =   323    5
               rx(i) & ry(i) =   161.44304      2.0000000      m

 receiver i =   69   irx & iry =   328    5
               rx(i) & ry(i) =   163.82278      2.0000000      m

 receiver i =   70   irx & iry =   333    5
               rx(i) & ry(i) =   166.20253      2.0000000      m

 receiver i =   71   irx & iry =   338    5
               rx(i) & ry(i) =   168.58228      2.0000000      m

 receiver i =   72   irx & iry =   342    5
               rx(i) & ry(i) =   170.96203      2.0000000      m

 receiver i =   73   irx & iry =   347    5
               rx(i) & ry(i) =   173.34177      2.0000000      m

 receiver i =   74   irx & iry =   352    5
               rx(i) & ry(i) =   175.72152      2.0000000      m

 receiver i =   75   irx & iry =   357    5
               rx(i) & ry(i) =   178.10127      2.0000000      m

 receiver i =   76   irx & iry =   361    5
               rx(i) & ry(i) =   180.48101      2.0000000      m

 receiver i =   77   irx & iry =   366    5
               rx(i) & ry(i) =   182.86076      2.0000000      m

 receiver i =   78   irx & iry =   371    5
               rx(i) & ry(i) =   185.24051      2.0000000      m

 receiver i =   79   irx & iry =   376    5
               rx(i) & ry(i) =   187.62025      2.0000000      m

 receiver i =   80   irx & iry =   380    5
               rx(i) & ry(i) =   190.00000      2.0000000      m

  nyquist frequency =       0.48668159E+01 khz

  dt  =       0.10273657E+00  msec

 delf =       0.75000000E-02  khz

 delw =       0.47123890E-01  2 pi*khz



   parameters of  source band-pass filter

 set equal to 0. if not filter is desired

 f1  =       0.00000000E+00   khz 

 f2  =       0.00000000E+00   khz 

 f3  =       0.14000000E+01   khz 

 f4  =       0.15000000E+01   khz 



  freq. indices for snapshots 
    1      5

  time steps for snapshots 
    1     97

  time steps for snapshots 
    2    194

  time steps for snapshots 
    3    243

  time steps for snapshots 
    4    292

  if1 if2 if3 if4 =     1     1   187   201

 jw1 - jw2 - jwlow       1    200     10

  pulse length in samples      53

 psi=      0.39200000E+01width=      0.71428571E+00msec

 ts=      0.17857143E+01msec. totpul=      0.53571429E+01msec

  pulse length in samples     973
  writes in 20 source in time
  writes in 21 amplitude source
  from  xi                     =       0.00000000E+00 m  
 up to xf                     =       0.20000000E+03 m 
 from  yi                     =       0.00000000E+00 m  
 up to yf                     =       0.50000000E+02 m 
 material type number  numat  =     1

  from  ixi (x-global grid #)    =     1
 up to ixf (x-global grid #)    =   400
 from  iyi (y-global grid #)    =     1
 up to yf  (y-global grid #)    =   100
 material type number  numat    =     1

  from  xi                     =       0.00000000E+00 m  
 up to xf                     =       0.20000000E+03 m 
 from  yi                     =       0.50000000E+02 m  
 up to yf                     =       0.55000000E+02 m 
 material type number  numat  =     5

  from  ixi (x-global grid #)    =     1
 up to ixf (x-global grid #)    =   400
 from  iyi (y-global grid #)    =   101
 up to yf  (y-global grid #)    =   110
 material type number  numat    =     5

  from  xi                     =       0.00000000E+00 m  
 up to xf                     =       0.20000000E+03 m 
 from  yi                     =       0.55000000E+02 m  
 up to yf                     =       0.10000000E+03 m 
 material type number  numat  =     3

  from  ixi (x-global grid #)    =     1
 up to ixf (x-global grid #)    =   400
 from  iyi (y-global grid #)    =   111
 up to yf  (y-global grid #)    =   200
 material type number  numat    =     3

  from  xi                     =       0.00000000E+00 m  
 up to xf                     =       0.20000000E+03 m 
 from  yi                     =       0.10000000E+03 m  
 up to yf                     =       0.10500000E+03 m 
 material type number  numat  =     4

  from  ixi (x-global grid #)    =     1
 up to ixf (x-global grid #)    =   400
 from  iyi (y-global grid #)    =   201
 up to yf  (y-global grid #)    =   210
 material type number  numat    =     4

  from  xi                     =       0.00000000E+00 m  
 up to xf                     =       0.20000000E+03 m 
 from  yi                     =       0.10500000E+03 m  
 up to yf                     =       0.15000000E+03 m 
 material type number  numat  =     3

  from  ixi (x-global grid #)    =     1
 up to ixf (x-global grid #)    =   400
 from  iyi (y-global grid #)    =   211
 up to yf  (y-global grid #)    =   300
 material type number  numat    =     3

  from  xi                     =       0.00000000E+00 m  
 up to xf                     =       0.20000000E+03 m 
 from  yi                     =       0.15000000E+03 m  
 up to yf                     =       0.15500000E+03 m 
 material type number  numat  =     6

  from  ixi (x-global grid #)    =     1
 up to ixf (x-global grid #)    =   400
 from  iyi (y-global grid #)    =   301
 up to yf  (y-global grid #)    =   310
 material type number  numat    =     6

  from  xi                     =       0.00000000E+00 m  
 up to xf                     =       0.20000000E+03 m 
 from  yi                     =       0.15500000E+03 m  
 up to yf                     =       0.20000000E+03 m 
 material type number  numat  =     2

  from  ixi (x-global grid #)    =     1
 up to ixf (x-global grid #)    =   400
 from  iyi (y-global grid #)    =   311
 up to yf  (y-global grid #)    =   400
 material type number  numat    =     2

  from  xi                     =      -0.10000000E+01 m  
 up to xf                     =      -0.10000000E+01 m 
 from  yi                     =      -0.10000000E+01 m  
 up to yf                     =      -0.10000000E+01 m 
 material type number  numat  =    -1


  jw1 , jw2  in main =     1      200

  frequency number   200 frequency :       0.14962500E+01
 jw  real sour, imag sour =    200     -0.11137E-02     -0.59533E-03

  global error =        0.8606327E-02 iter. number =   100 denomin. =        0.1107172E-03

  global error =        0.4737050E-02 iter. number =   200 denomin. =        0.1310736E-03

  global error =        0.3922697E-02 iter. number =   300 denomin. =        0.1468559E-03

  global error =        0.3558241E-02 iter. number =   400 denomin. =        0.1642199E-03

  global error =        0.4425839E-02 iter. number =   500 denomin. =        0.1837690E-03

  global error =        0.2674957E-02 iter. number =   600 denomin. =        0.2132106E-03

  global error =        0.1216301E-02 iter. number =   700 denomin. =        0.2254722E-03

  global error =        0.8964474E-03 iter. number =   800 denomin. =        0.2338658E-03

  global error =        0.7173280E-03 iter. number =   900 denomin. =        0.2406554E-03

  global error =        0.6078412E-03 iter. number =  1000 denomin. =        0.2476185E-03

  global error =        0.4120746E-03 iter. number =  1100 denomin. =        0.2550812E-03

  global error =        0.2581226E-03 iter. number =  1200 denomin. =        0.2579114E-03

  global error =        0.2451058E-03 iter. number =  1300 denomin. =        0.2608364E-03

  global error =        0.1622174E-03 iter. number =  1400 denomin. =        0.2633289E-03

  global error =        0.1055680E-03 iter. number =  1500 denomin. =        0.2651154E-03

  convergence  for freq. #   200 achieved in  1526 inner iterations 
 relative error value =       0.99997160E-04


  frequency number   199 frequency :       0.14887500E+01
 jw  real sour, imag sour =    199     -0.22311E-02     -0.14460E-02

  global error =        0.4928995E-02 iter. number =   100 denomin. =        0.6496274E-03

  global error =        0.2806457E-02 iter. number =   200 denomin. =        0.7138260E-03

  global error =        0.2258868E-02 iter. number =   300 denomin. =        0.7468816E-03

  global error =        0.1944351E-02 iter. number =   400 denomin. =        0.7824653E-03

  global error =        0.2183451E-02 iter. number =   500 denomin. =        0.8053483E-03

  global error =        0.1526067E-02 iter. number =   600 denomin. =        0.8389201E-03

  global error =        0.6759090E-03 iter. number =   700 denomin. =        0.8461925E-03

  global error =        0.6427817E-03 iter. number =   800 denomin. =        0.8158982E-03

  global error =        0.4699950E-03 iter. number =   900 denomin. =        0.7945571E-03

  global error =        0.4461917E-03 iter. number =  1000 denomin. =        0.7854139E-03

  global error =        0.3045500E-03 iter. number =  1100 denomin. =        0.7776034E-03

  global error =        0.2019034E-03 iter. number =  1200 denomin. =        0.7742194E-03

  global error =        0.1884708E-03 iter. number =  1300 denomin. =        0.7781257E-03

  global error =        0.1244353E-03 iter. number =  1400 denomin. =        0.7826227E-03

  global error =        0.1104826E-03 iter. number =  1500 denomin. =        0.7853445E-03

  convergence  for freq. #   199 achieved in  1541 inner iterations 
 relative error value =       0.99698124E-04


  frequency number   198 frequency :       0.14812500E+01
 jw  real sour, imag sour =    198     -0.33176E-02     -0.25705E-02

  global error =        0.3741438E-02 iter. number =   100 denomin. =        0.1499941E-02

  global error =        0.2328995E-02 iter. number =   200 denomin. =        0.1652231E-02

  global error =        0.2030634E-02 iter. number =   300 denomin. =        0.1805644E-02

  global error =        0.1688554E-02 iter. number =   400 denomin. =        0.1973361E-02

  global error =        0.2079791E-02 iter. number =   500 denomin. =        0.2163431E-02

  global error =        0.1523992E-02 iter. number =   600 denomin. =        0.2388959E-02

  global error =        0.6513773E-03 iter. number =   700 denomin. =        0.2545427E-02

  global error =        0.5050093E-03 iter. number =   800 denomin. =        0.2683941E-02

  global error =        0.4028505E-03 iter. number =   900 denomin. =        0.2789730E-02

  global error =        0.4559330E-03 iter. number =  1000 denomin. =        0.2888451E-02

  global error =        0.3367675E-03 iter. number =  1100 denomin. =        0.2980820E-02

  global error =        0.2137888E-03 iter. number =  1200 denomin. =        0.3037783E-02

  global error =        0.1833947E-03 iter. number =  1300 denomin. =        0.3086237E-02

  global error =        0.1502418E-03 iter. number =  1400 denomin. =        0.3117243E-02

  global error =        0.1491020E-03 iter. number =  1500 denomin. =        0.3141876E-02

  global error =        0.1244761E-03 iter. number =  1600 denomin. =        0.3162223E-02

  global error =        0.1136216E-03 iter. number =  1700 denomin. =        0.3174493E-02

  global error =        0.1038989E-03 iter. number =  1800 denomin. =        0.3185598E-02

  convergence  for freq. #   198 achieved in  1838 inner iterations 
 relative error value =       0.99997911E-04


  frequency number   197 frequency :       0.14737500E+01
 jw  real sour, imag sour =    197     -0.43341E-02     -0.39841E-02

  global error =        0.4672704E-02 iter. number =   100 denomin. =        0.4342428E-02

  global error =        0.3335966E-02 iter. number =   200 denomin. =        0.4401320E-02

  global error =        0.2959669E-02 iter. number =   300 denomin. =        0.4384114E-02

  global error =        0.2595871E-02 iter. number =   400 denomin. =        0.4342651E-02

  global error =        0.1888609E-02 iter. number =   500 denomin. =        0.4274792E-02

  global error =        0.1265088E-02 iter. number =   600 denomin. =        0.4373355E-02

  global error =        0.1020090E-02 iter. number =   700 denomin. =        0.4384508E-02

  global error =        0.8641543E-03 iter. number =   800 denomin. =        0.4381325E-02

  global error =        0.7719092E-03 iter. number =   900 denomin. =        0.4507863E-02

  global error =        0.5691733E-03 iter. number =  1000 denomin. =        0.4645337E-02

  global error =        0.3828157E-03 iter. number =  1100 denomin. =        0.4675259E-02

  global error =        0.3468478E-03 iter. number =  1200 denomin. =        0.4641428E-02

  global error =        0.2935892E-03 iter. number =  1300 denomin. =        0.4581434E-02

  global error =        0.2842785E-03 iter. number =  1400 denomin. =        0.4497904E-02

  global error =        0.2300243E-03 iter. number =  1500 denomin. =        0.4442393E-02

  global error =        0.1997777E-03 iter. number =  1600 denomin. =        0.4436860E-02

  global error =        0.1844080E-03 iter. number =  1700 denomin. =        0.4453317E-02

  global error =        0.1690346E-03 iter. number =  1800 denomin. =        0.4470415E-02

  global error =        0.1644576E-03 iter. number =  1900 denomin. =        0.4487905E-02

  global error =        0.1555829E-03 iter. number =  2000 denomin. =        0.4495785E-02

  global error =        0.1516068E-03 iter. number =  2100 denomin. =        0.4489948E-02

  global error =        0.1448733E-03 iter. number =  2200 denomin. =        0.4482580E-02

  global error =        0.1418731E-03 iter. number =  2300 denomin. =        0.4480040E-02

  global error =        0.1414411E-03 iter. number =  2400 denomin. =        0.4479135E-02

  global error =        0.1389473E-03 iter. number =  2500 denomin. =        0.4480635E-02

  global error =        0.1354782E-03 iter. number =  2600 denomin. =        0.4484442E-02

  global error =        0.1328724E-03 iter. number =  2700 denomin. =        0.4486368E-02

  global error =        0.1326911E-03 iter. number =  2800 denomin. =        0.4485593E-02

  global error =        0.1312314E-03 iter. number =  2900 denomin. =        0.4484476E-02

  global error =        0.1286523E-03 iter. number =  3000 denomin. =        0.4483281E-02

  global error =        0.1266196E-03 iter. number =  3100 denomin. =        0.4482015E-02

  global error =        0.1259070E-03 iter. number =  3200 denomin. =        0.4481788E-02

  global error =        0.1245734E-03 iter. number =  3300 denomin. =        0.4482464E-02

  global error =        0.1225263E-03 iter. number =  3400 denomin. =        0.4482996E-02

  global error =        0.1207261E-03 iter. number =  3500 denomin. =        0.4483276E-02

  global error =        0.1195973E-03 iter. number =  3600 denomin. =        0.4483474E-02

  global error =        0.1181453E-03 iter. number =  3700 denomin. =        0.4483389E-02

  global error =        0.1165468E-03 iter. number =  3800 denomin. =        0.4483118E-02

  global error =        0.1150568E-03 iter. number =  3900 denomin. =        0.4482994E-02

  global error =        0.1136826E-03 iter. number =  4000 denomin. =        0.4483013E-02

  NO convergence  for freq. #   197 after   4001 inner iterations 
 relative error value reduction =       0.11368256E-03


  frequency number   196 frequency :       0.14662500E+01
 jw  real sour, imag sour =    196     -0.52374E-02     -0.56979E-02

  global error =        0.3773451E-02 iter. number =   100 denomin. =        0.6357979E-02

  global error =        0.2618640E-02 iter. number =   200 denomin. =        0.6860712E-02

  global error =        0.2310088E-02 iter. number =   300 denomin. =        0.7381241E-02

  global error =        0.1949679E-02 iter. number =   400 denomin. =        0.8056653E-02

  global error =        0.1781176E-02 iter. number =   500 denomin. =        0.8870969E-02

  global error =        0.1330666E-02 iter. number =   600 denomin. =        0.9681754E-02

  global error =        0.6518505E-03 iter. number =   700 denomin. =        0.9902959E-02

  global error =        0.5871697E-03 iter. number =   800 denomin. =        0.9731024E-02

  global error =        0.4524630E-03 iter. number =   900 denomin. =        0.9646826E-02

  global error =        0.4252624E-03 iter. number =  1000 denomin. =        0.9639506E-02

  global error =        0.2977351E-03 iter. number =  1100 denomin. =        0.9569860E-02

  global error =        0.2492575E-03 iter. number =  1200 denomin. =        0.9373119E-02

  global error =        0.2187862E-03 iter. number =  1300 denomin. =        0.9170212E-02

  global error =        0.1640373E-03 iter. number =  1400 denomin. =        0.9064520E-02

  global error =        0.1514363E-03 iter. number =  1500 denomin. =        0.9008828E-02

  global error =        0.1391887E-03 iter. number =  1600 denomin. =        0.8959208E-02

  global error =        0.1402344E-03 iter. number =  1700 denomin. =        0.8916143E-02

  global error =        0.1237500E-03 iter. number =  1800 denomin. =        0.8884292E-02

  global error =        0.1145346E-03 iter. number =  1900 denomin. =        0.8871207E-02

  global error =        0.1124037E-03 iter. number =  2000 denomin. =        0.8867665E-02

  global error =        0.1118265E-03 iter. number =  2100 denomin. =        0.8872959E-02

  global error =        0.1083453E-03 iter. number =  2200 denomin. =        0.8882453E-02

  global error =        0.1033102E-03 iter. number =  2300 denomin. =        0.8886744E-02

  global error =        0.1020778E-03 iter. number =  2400 denomin. =        0.8887322E-02

  global error =        0.1008354E-03 iter. number =  2500 denomin. =        0.8890306E-02

  convergence  for freq. #   196 achieved in  2542 inner iterations 
 relative error value =       0.99977137E-04


  frequency number   195 frequency :       0.14587500E+01
 jw  real sour, imag sour =    195     -0.59802E-02     -0.77188E-02

  global error =        0.4076167E-02 iter. number =   100 denomin. =        0.1108507E-01

  global error =        0.2608345E-02 iter. number =   200 denomin. =        0.1120822E-01

  global error =        0.2185105E-02 iter. number =   300 denomin. =        0.1104060E-01

  global error =        0.1855811E-02 iter. number =   400 denomin. =        0.1071979E-01

  global error =        0.1462003E-02 iter. number =   500 denomin. =        0.1025196E-01

  global error =        0.9790633E-03 iter. number =   600 denomin. =        0.1058796E-01

  global error =        0.7586249E-03 iter. number =   700 denomin. =        0.1112388E-01

  global error =        0.6724759E-03 iter. number =   800 denomin. =        0.1155043E-01

  global error =        0.5076362E-03 iter. number =   900 denomin. =        0.1181386E-01

  global error =        0.4346058E-03 iter. number =  1000 denomin. =        0.1179836E-01

  global error =        0.3928408E-03 iter. number =  1100 denomin. =        0.1160780E-01

  global error =        0.3618583E-03 iter. number =  1200 denomin. =        0.1140905E-01

  global error =        0.3203913E-03 iter. number =  1300 denomin. =        0.1124997E-01

  global error =        0.2815586E-03 iter. number =  1400 denomin. =        0.1120321E-01

  global error =        0.2863288E-03 iter. number =  1500 denomin. =        0.1119665E-01

  global error =        0.2784314E-03 iter. number =  1600 denomin. =        0.1117782E-01

  global error =        0.2634086E-03 iter. number =  1700 denomin. =        0.1118651E-01

  global error =        0.2492231E-03 iter. number =  1800 denomin. =        0.1121820E-01

  global error =        0.2503202E-03 iter. number =  1900 denomin. =        0.1124124E-01

  global error =        0.2486574E-03 iter. number =  2000 denomin. =        0.1127388E-01

  global error =        0.2379297E-03 iter. number =  2100 denomin. =        0.1129887E-01

  global error =        0.2325454E-03 iter. number =  2200 denomin. =        0.1130583E-01

  global error =        0.2334909E-03 iter. number =  2300 denomin. =        0.1130023E-01

  global error =        0.2316265E-03 iter. number =  2400 denomin. =        0.1128813E-01

  global error =        0.2243452E-03 iter. number =  2500 denomin. =        0.1127457E-01

  global error =        0.2209468E-03 iter. number =  2600 denomin. =        0.1126589E-01

  global error =        0.2212869E-03 iter. number =  2700 denomin. =        0.1126003E-01

  global error =        0.2188864E-03 iter. number =  2800 denomin. =        0.1125849E-01

  global error =        0.2135357E-03 iter. number =  2900 denomin. =        0.1125961E-01

  global error =        0.2108780E-03 iter. number =  3000 denomin. =        0.1126112E-01

  global error =        0.2102622E-03 iter. number =  3100 denomin. =        0.1126365E-01

  global error =        0.2077263E-03 iter. number =  3200 denomin. =        0.1126696E-01

  global error =        0.2041307E-03 iter. number =  3300 denomin. =        0.1126892E-01

  global error =        0.2016379E-03 iter. number =  3400 denomin. =        0.1126975E-01

  global error =        0.2003016E-03 iter. number =  3500 denomin. =        0.1126982E-01

  global error =        0.1978445E-03 iter. number =  3600 denomin. =        0.1126906E-01

  global error =        0.1955721E-03 iter. number =  3700 denomin. =        0.1126761E-01

  global error =        0.1927884E-03 iter. number =  3800 denomin. =        0.1126626E-01

  global error =        0.1908077E-03 iter. number =  3900 denomin. =        0.1126549E-01

  global error =        0.1887635E-03 iter. number =  4000 denomin. =        0.1126510E-01

  NO convergence  for freq. #   195 after   4001 inner iterations 
 relative error value reduction =       0.18876346E-03


  frequency number   194 frequency :       0.14512500E+01
 jw  real sour, imag sour =    194     -0.65117E-02     -0.10048E-01

  global error =        0.3464301E-02 iter. number =   100 denomin. =        0.1441406E-01

  global error =        0.2498129E-02 iter. number =   200 denomin. =        0.1530960E-01

  global error =        0.2244669E-02 iter. number =   300 denomin. =        0.1651727E-01

  global error =        0.1911018E-02 iter. number =   400 denomin. =        0.1802082E-01

  global error =        0.2004881E-02 iter. number =   500 denomin. =        0.2004111E-01

  global error =        0.1507658E-02 iter. number =   600 denomin. =        0.2219870E-01

  global error =        0.8283957E-03 iter. number =   700 denomin. =        0.2375539E-01

  global error =        0.7093432E-03 iter. number =   800 denomin. =        0.2484182E-01

  global error =        0.6267071E-03 iter. number =   900 denomin. =        0.2553796E-01

  global error =        0.6325953E-03 iter. number =  1000 denomin. =        0.2599320E-01

  global error =        0.4458715E-03 iter. number =  1100 denomin. =        0.2621165E-01

  global error =        0.3571784E-03 iter. number =  1200 denomin. =        0.2624145E-01

  global error =        0.3054428E-03 iter. number =  1300 denomin. =        0.2610926E-01

  global error =        0.2869187E-03 iter. number =  1400 denomin. =        0.2583439E-01

  global error =        0.2714634E-03 iter. number =  1500 denomin. =        0.2544785E-01

  global error =        0.2304361E-03 iter. number =  1600 denomin. =        0.2511650E-01

  global error =        0.2161970E-03 iter. number =  1700 denomin. =        0.2481941E-01

  global error =        0.1970009E-03 iter. number =  1800 denomin. =        0.2455035E-01

  global error =        0.1943672E-03 iter. number =  1900 denomin. =        0.2429245E-01

  global error =        0.1878981E-03 iter. number =  2000 denomin. =        0.2405791E-01

  global error =        0.1789520E-03 iter. number =  2100 denomin. =        0.2388196E-01

  global error =        0.1723232E-03 iter. number =  2200 denomin. =        0.2373853E-01

  global error =        0.1690543E-03 iter. number =  2300 denomin. =        0.2363824E-01

  global error =        0.1672980E-03 iter. number =  2400 denomin. =        0.2356508E-01

  global error =        0.1613298E-03 iter. number =  2500 denomin. =        0.2351469E-01

  global error =        0.1569624E-03 iter. number =  2600 denomin. =        0.2348142E-01

  global error =        0.1553096E-03 iter. number =  2700 denomin. =        0.2346092E-01

  global error =        0.1534760E-03 iter. number =  2800 denomin. =        0.2345494E-01

  global error =        0.1488468E-03 iter. number =  2900 denomin. =        0.2345780E-01

  global error =        0.1451450E-03 iter. number =  3000 denomin. =        0.2346474E-01

  global error =        0.1439763E-03 iter. number =  3100 denomin. =        0.2347415E-01

  global error =        0.1420596E-03 iter. number =  3200 denomin. =        0.2348417E-01

  global error =        0.1382564E-03 iter. number =  3300 denomin. =        0.2349493E-01

  global error =        0.1351204E-03 iter. number =  3400 denomin. =        0.2350512E-01

  global error =        0.1340819E-03 iter. number =  3500 denomin. =        0.2351436E-01

  global error =        0.1321037E-03 iter. number =  3600 denomin. =        0.2352272E-01

  global error =        0.1289069E-03 iter. number =  3700 denomin. =        0.2352923E-01

  global error =        0.1262356E-03 iter. number =  3800 denomin. =        0.2353440E-01

  global error =        0.1251351E-03 iter. number =  3900 denomin. =        0.2353836E-01

  global error =        0.1231531E-03 iter. number =  4000 denomin. =        0.2354148E-01

  NO convergence  for freq. #   194 after   4001 inner iterations 
 relative error value reduction =       0.12315311E-03


  frequency number   193 frequency :       0.14437500E+01
 jw  real sour, imag sour =    193     -0.67777E-02     -0.12680E-01

  global error =        0.4540275E-02 iter. number =   100 denomin. =        0.2758090E-01

  global error =        0.3294036E-02 iter. number =   200 denomin. =        0.2704823E-01

  global error =        0.3041789E-02 iter. number =   300 denomin. =        0.2600781E-01

  global error =        0.2518877E-02 iter. number =   400 denomin. =        0.2489688E-01

  global error =        0.1740865E-02 iter. number =   500 denomin. =        0.2338159E-01

  global error =        0.1182091E-02 iter. number =   600 denomin. =        0.2361835E-01

  global error =        0.1160102E-02 iter. number =   700 denomin. =        0.2456102E-01

  global error =        0.9626635E-03 iter. number =   800 denomin. =        0.2575508E-01

  global error =        0.7905571E-03 iter. number =   900 denomin. =        0.2719928E-01

  global error =        0.5018323E-03 iter. number =  1000 denomin. =        0.2791140E-01

  global error =        0.4172138E-03 iter. number =  1100 denomin. =        0.2760887E-01

  global error =        0.4039683E-03 iter. number =  1200 denomin. =        0.2684933E-01

  global error =        0.3587484E-03 iter. number =  1300 denomin. =        0.2631384E-01

  global error =        0.3065378E-03 iter. number =  1400 denomin. =        0.2615132E-01

  global error =        0.2304496E-03 iter. number =  1500 denomin. =        0.2618130E-01

  global error =        0.2205900E-03 iter. number =  1600 denomin. =        0.2627396E-01

  global error =        0.2002673E-03 iter. number =  1700 denomin. =        0.2632994E-01

  global error =        0.1923342E-03 iter. number =  1800 denomin. =        0.2620605E-01

  global error =        0.1781801E-03 iter. number =  1900 denomin. =        0.2605476E-01

  global error =        0.1661075E-03 iter. number =  2000 denomin. =        0.2599888E-01

  global error =        0.1585854E-03 iter. number =  2100 denomin. =        0.2601702E-01

  global error =        0.1520248E-03 iter. number =  2200 denomin. =        0.2607664E-01

  global error =        0.1514233E-03 iter. number =  2300 denomin. =        0.2615372E-01

  global error =        0.1464220E-03 iter. number =  2400 denomin. =        0.2619634E-01

  global error =        0.1406885E-03 iter. number =  2500 denomin. =        0.2619150E-01

  global error =        0.1374762E-03 iter. number =  2600 denomin. =        0.2616804E-01

  global error =        0.1371077E-03 iter. number =  2700 denomin. =        0.2615638E-01

  global error =        0.1344313E-03 iter. number =  2800 denomin. =        0.2615620E-01

  global error =        0.1299982E-03 iter. number =  2900 denomin. =        0.2616371E-01

  global error =        0.1280006E-03 iter. number =  3000 denomin. =        0.2617434E-01

  global error =        0.1273971E-03 iter. number =  3100 denomin. =        0.2617842E-01

  global error =        0.1248801E-03 iter. number =  3200 denomin. =        0.2617218E-01

  global error =        0.1214743E-03 iter. number =  3300 denomin. =        0.2616415E-01

  global error =        0.1201541E-03 iter. number =  3400 denomin. =        0.2615954E-01

  global error =        0.1193976E-03 iter. number =  3500 denomin. =        0.2615856E-01

  global error =        0.1168814E-03 iter. number =  3600 denomin. =        0.2616056E-01

  global error =        0.1141800E-03 iter. number =  3700 denomin. =        0.2616358E-01

  global error =        0.1130724E-03 iter. number =  3800 denomin. =        0.2616494E-01

  global error =        0.1121059E-03 iter. number =  3900 denomin. =        0.2616447E-01

  global error =        0.1096819E-03 iter. number =  4000 denomin. =        0.2616352E-01

  NO convergence  for freq. #   193 after   4001 inner iterations 
 relative error value reduction =       0.10968187E-03


  frequency number   192 frequency :       0.14362500E+01
 jw  real sour, imag sour =    192     -0.67215E-02     -0.15604E-01

  global error =        0.4007368E-02 iter. number =   100 denomin. =        0.3186885E-01

  global error =        0.2893104E-02 iter. number =   200 denomin. =        0.3428125E-01

  global error =        0.2533405E-02 iter. number =   300 denomin. =        0.3697258E-01

  global error =        0.2171845E-02 iter. number =   400 denomin. =        0.4034103E-01

  global error =        0.1921313E-02 iter. number =   500 denomin. =        0.4454890E-01

  global error =        0.1314201E-02 iter. number =   600 denomin. =        0.4769739E-01

  global error =        0.7868005E-03 iter. number =   700 denomin. =        0.4753148E-01

  global error =        0.7282970E-03 iter. number =   800 denomin. =        0.4583615E-01

  global error =        0.6346534E-03 iter. number =   900 denomin. =        0.4464062E-01

  global error =        0.5674582E-03 iter. number =  1000 denomin. =        0.4368560E-01

  global error =        0.3858420E-03 iter. number =  1100 denomin. =        0.4232353E-01

  global error =        0.3385790E-03 iter. number =  1200 denomin. =        0.4077190E-01

  global error =        0.2942109E-03 iter. number =  1300 denomin. =        0.3949175E-01

  global error =        0.2593594E-03 iter. number =  1400 denomin. =        0.3866779E-01

  global error =        0.2341060E-03 iter. number =  1500 denomin. =        0.3806897E-01

  global error =        0.2078600E-03 iter. number =  1600 denomin. =        0.3776253E-01

  global error =        0.1932331E-03 iter. number =  1700 denomin. =        0.3768622E-01

  global error =        0.1759015E-03 iter. number =  1800 denomin. =        0.3764414E-01

  global error =        0.1711762E-03 iter. number =  1900 denomin. =        0.3760636E-01

  global error =        0.1624329E-03 iter. number =  2000 denomin. =        0.3764763E-01

  global error =        0.1549237E-03 iter. number =  2100 denomin. =        0.3778744E-01

  global error =        0.1505083E-03 iter. number =  2200 denomin. =        0.3792774E-01

  global error =        0.1474866E-03 iter. number =  2300 denomin. =        0.3799464E-01

  global error =        0.1418465E-03 iter. number =  2400 denomin. =        0.3802863E-01

  global error =        0.1365997E-03 iter. number =  2500 denomin. =        0.3806671E-01

  global error =        0.1353300E-03 iter. number =  2600 denomin. =        0.3809985E-01

  global error =        0.1334127E-03 iter. number =  2700 denomin. =        0.3811838E-01

  global error =        0.1287640E-03 iter. number =  2800 denomin. =        0.3812352E-01

  global error =        0.1250635E-03 iter. number =  2900 denomin. =        0.3812140E-01

  global error =        0.1240100E-03 iter. number =  3000 denomin. =        0.3811184E-01

  global error =        0.1220848E-03 iter. number =  3100 denomin. =        0.3809987E-01

  global error =        0.1183449E-03 iter. number =  3200 denomin. =        0.3809413E-01

  global error =        0.1153887E-03 iter. number =  3300 denomin. =        0.3809265E-01

  global error =        0.1141621E-03 iter. number =  3400 denomin. =        0.3808890E-01

  global error =        0.1120242E-03 iter. number =  3500 denomin. =        0.3808259E-01

  global error =        0.1090628E-03 iter. number =  3600 denomin. =        0.3807806E-01

  global error =        0.1064459E-03 iter. number =  3700 denomin. =        0.3807747E-01

  global error =        0.1051043E-03 iter. number =  3800 denomin. =        0.3807826E-01

  global error =        0.1031044E-03 iter. number =  3900 denomin. =        0.3807817E-01

  global error =        0.1007414E-03 iter. number =  4000 denomin. =        0.3807768E-01

  NO convergence  for freq. #   192 after   4001 inner iterations 
 relative error value reduction =       0.10074145E-03


  frequency number   191 frequency :       0.14287500E+01
 jw  real sour, imag sour =    191     -0.62844E-02     -0.18801E-01

  global error =        0.3931925E-02 iter. number =   100 denomin. =        0.4340367E-01

  global error =        0.2557187E-02 iter. number =   200 denomin. =        0.4193029E-01

  global error =        0.2158342E-02 iter. number =   300 denomin. =        0.4036172E-01

  global error =        0.1835592E-02 iter. number =   400 denomin. =        0.3908655E-01

  global error =        0.1345476E-02 iter. number =   500 denomin. =        0.3792500E-01

  global error =        0.9457108E-03 iter. number =   600 denomin. =        0.4006735E-01

  global error =        0.7892894E-03 iter. number =   700 denomin. =        0.4250545E-01

  global error =        0.6750569E-03 iter. number =   800 denomin. =        0.4442900E-01

  global error =        0.4578792E-03 iter. number =   900 denomin. =        0.4526315E-01

  global error =        0.3784356E-03 iter. number =  1000 denomin. =        0.4465586E-01

  global error =        0.3237901E-03 iter. number =  1100 denomin. =        0.4408763E-01

  global error =        0.2831710E-03 iter. number =  1200 denomin. =        0.4346116E-01

  global error =        0.2320575E-03 iter. number =  1300 denomin. =        0.4290203E-01

  global error =        0.1764884E-03 iter. number =  1400 denomin. =        0.4280545E-01

  global error =        0.1752352E-03 iter. number =  1500 denomin. =        0.4258645E-01

  global error =        0.1520838E-03 iter. number =  1600 denomin. =        0.4227967E-01

  global error =        0.1424256E-03 iter. number =  1700 denomin. =        0.4220310E-01

  global error =        0.1221582E-03 iter. number =  1800 denomin. =        0.4222565E-01

  global error =        0.1183602E-03 iter. number =  1900 denomin. =        0.4234958E-01

  global error =        0.1145918E-03 iter. number =  2000 denomin. =        0.4252614E-01

  global error =        0.1064034E-03 iter. number =  2100 denomin. =        0.4264685E-01

  global error =        0.1028016E-03 iter. number =  2200 denomin. =        0.4274569E-01

  convergence  for freq. #   191 achieved in  2258 inner iterations 
 relative error value =       0.99990858E-04


  frequency number   190 frequency :       0.14212500E+01
 jw  real sour, imag sour =    190     -0.54063E-02     -0.22243E-01

  global error =        0.3625249E-02 iter. number =   100 denomin. =        0.5097632E-01

  global error =        0.2611461E-02 iter. number =   200 denomin. =        0.5558207E-01

  global error =        0.2373997E-02 iter. number =   300 denomin. =        0.6064931E-01

  global error =        0.2094619E-02 iter. number =   400 denomin. =        0.6644482E-01

  global error =        0.2095185E-02 iter. number =   500 denomin. =        0.7401316E-01

  global error =        0.1499327E-02 iter. number =   600 denomin. =        0.8116465E-01

  global error =        0.9432184E-03 iter. number =   700 denomin. =        0.8590036E-01

  global error =        0.8185951E-03 iter. number =   800 denomin. =        0.8841471E-01

  global error =        0.7463273E-03 iter. number =   900 denomin. =        0.8934257E-01

  global error =        0.7221851E-03 iter. number =  1000 denomin. =        0.8890333E-01

  global error =        0.5128383E-03 iter. number =  1100 denomin. =        0.8761534E-01

  global error =        0.4332220E-03 iter. number =  1200 denomin. =        0.8600700E-01

  global error =        0.3693025E-03 iter. number =  1300 denomin. =        0.8374678E-01

  global error =        0.3582006E-03 iter. number =  1400 denomin. =        0.8120262E-01

  global error =        0.3246280E-03 iter. number =  1500 denomin. =        0.7852416E-01

  global error =        0.2648462E-03 iter. number =  1600 denomin. =        0.7644296E-01

  global error =        0.2496706E-03 iter. number =  1700 denomin. =        0.7473997E-01

  global error =        0.2295836E-03 iter. number =  1800 denomin. =        0.7336138E-01

  global error =        0.2184295E-03 iter. number =  1900 denomin. =        0.7229544E-01

  global error =        0.2007443E-03 iter. number =  2000 denomin. =        0.7151116E-01

  global error =        0.1976318E-03 iter. number =  2100 denomin. =        0.7103721E-01

  global error =        0.1888297E-03 iter. number =  2200 denomin. =        0.7079641E-01

  global error =        0.1756462E-03 iter. number =  2300 denomin. =        0.7075646E-01

  global error =        0.1754494E-03 iter. number =  2400 denomin. =        0.7085259E-01

  global error =        0.1750895E-03 iter. number =  2500 denomin. =        0.7100914E-01

  global error =        0.1668744E-03 iter. number =  2600 denomin. =        0.7119753E-01

  global error =        0.1607900E-03 iter. number =  2700 denomin. =        0.7139901E-01

  global error =        0.1641180E-03 iter. number =  2800 denomin. =        0.7158988E-01

  global error =        0.1616028E-03 iter. number =  2900 denomin. =        0.7177055E-01

  global error =        0.1535334E-03 iter. number =  3000 denomin. =        0.7191736E-01

  global error =        0.1544416E-03 iter. number =  3100 denomin. =        0.7203446E-01

  global error =        0.1564019E-03 iter. number =  3200 denomin. =        0.7211951E-01

  global error =        0.1506273E-03 iter. number =  3300 denomin. =        0.7217716E-01

  global error =        0.1470244E-03 iter. number =  3400 denomin. =        0.7221014E-01

  global error =        0.1499938E-03 iter. number =  3500 denomin. =        0.7222254E-01

  global error =        0.1486972E-03 iter. number =  3600 denomin. =        0.7222210E-01

  global error =        0.1426406E-03 iter. number =  3700 denomin. =        0.7221154E-01

  global error =        0.1434675E-03 iter. number =  3800 denomin. =        0.7219189E-01

  global error =        0.1451527E-03 iter. number =  3900 denomin. =        0.7217049E-01

  global error =        0.1404870E-03 iter. number =  4000 denomin. =        0.7214991E-01

  NO convergence  for freq. #   190 after   4001 inner iterations 
 relative error value reduction =       0.14048697E-03


  frequency number   189 frequency :       0.14137500E+01
 jw  real sour, imag sour =    189     -0.40271E-02     -0.25895E-01

  global error =        0.4479017E-02 iter. number =   100 denomin. =        0.8075415E-01

  global error =        0.3154653E-02 iter. number =   200 denomin. =        0.8017770E-01

  global error =        0.2908620E-02 iter. number =   300 denomin. =        0.7922808E-01

  global error =        0.2328361E-02 iter. number =   400 denomin. =        0.7734848E-01

  global error =        0.1577520E-02 iter. number =   500 denomin. =        0.7487390E-01

  global error =        0.1195934E-02 iter. number =   600 denomin. =        0.7740597E-01

  global error =        0.1217178E-02 iter. number =   700 denomin. =        0.8199419E-01

  global error =        0.9989572E-03 iter. number =   800 denomin. =        0.8780635E-01

  global error =        0.7760787E-03 iter. number =   900 denomin. =        0.9257870E-01

  global error =        0.5219914E-03 iter. number =  1000 denomin. =        0.9442338E-01

  global error =        0.4738844E-03 iter. number =  1100 denomin. =        0.9365368E-01

  global error =        0.4639924E-03 iter. number =  1200 denomin. =        0.9134479E-01

  global error =        0.3992303E-03 iter. number =  1300 denomin. =        0.9031773E-01

  global error =        0.3479042E-03 iter. number =  1400 denomin. =        0.9069787E-01

  global error =        0.2759359E-03 iter. number =  1500 denomin. =        0.9116888E-01

  global error =        0.2640258E-03 iter. number =  1600 denomin. =        0.9116837E-01

  global error =        0.2446668E-03 iter. number =  1700 denomin. =        0.9070388E-01

  global error =        0.2369945E-03 iter. number =  1800 denomin. =        0.8989104E-01

  global error =        0.2197763E-03 iter. number =  1900 denomin. =        0.8921386E-01

  global error =        0.2017840E-03 iter. number =  2000 denomin. =        0.8905303E-01

  global error =        0.1978524E-03 iter. number =  2100 denomin. =        0.8932213E-01

  global error =        0.1918911E-03 iter. number =  2200 denomin. =        0.8960037E-01

  global error =        0.1862746E-03 iter. number =  2300 denomin. =        0.8971271E-01

  global error =        0.1792326E-03 iter. number =  2400 denomin. =        0.8968868E-01

  global error =        0.1762944E-03 iter. number =  2500 denomin. =        0.8959322E-01

  global error =        0.1732493E-03 iter. number =  2600 denomin. =        0.8951779E-01

  global error =        0.1679434E-03 iter. number =  2700 denomin. =        0.8956385E-01

  global error =        0.1649905E-03 iter. number =  2800 denomin. =        0.8967828E-01

  global error =        0.1631101E-03 iter. number =  2900 denomin. =        0.8975722E-01

  global error =        0.1596881E-03 iter. number =  3000 denomin. =        0.8976544E-01

  global error =        0.1559140E-03 iter. number =  3100 denomin. =        0.8973388E-01

  global error =        0.1539291E-03 iter. number =  3200 denomin. =        0.8969118E-01

  global error =        0.1525589E-03 iter. number =  3300 denomin. =        0.8966192E-01

  global error =        0.1489921E-03 iter. number =  3400 denomin. =        0.8966315E-01

  global error =        0.1458688E-03 iter. number =  3500 denomin. =        0.8968217E-01

  global error =        0.1446694E-03 iter. number =  3600 denomin. =        0.8968972E-01

  global error =        0.1424668E-03 iter. number =  3700 denomin. =        0.8967966E-01

  global error =        0.1391480E-03 iter. number =  3800 denomin. =        0.8966258E-01

  global error =        0.1368553E-03 iter. number =  3900 denomin. =        0.8964813E-01

  global error =        0.1357993E-03 iter. number =  4000 denomin. =        0.8964102E-01

  NO convergence  for freq. #   189 after   4001 inner iterations 
 relative error value reduction =       0.13579926E-03


  frequency number   188 frequency :       0.14062500E+01
 jw  real sour, imag sour =    188     -0.20872E-02     -0.29711E-01

  global error =        0.4196980E-02 iter. number =   100 denomin. =        0.1037618E+00

  global error =        0.3109641E-02 iter. number =   200 denomin. =        0.1089800E+00

  global error =        0.2785146E-02 iter. number =   300 denomin. =        0.1153362E+00

  global error =        0.2465996E-02 iter. number =   400 denomin. =        0.1242192E+00

  global error =        0.2226469E-02 iter. number =   500 denomin. =        0.1366983E+00

  global error =        0.1515512E-02 iter. number =   600 denomin. =        0.1443098E+00

  global error =        0.1019174E-02 iter. number =   700 denomin. =        0.1409205E+00

  global error =        0.8912821E-03 iter. number =   800 denomin. =        0.1331786E+00

  global error =        0.7958412E-03 iter. number =   900 denomin. =        0.1273085E+00

  global error =        0.7130243E-03 iter. number =  1000 denomin. =        0.1221179E+00

  global error =        0.5167415E-03 iter. number =  1100 denomin. =        0.1161690E+00

  global error =        0.4600802E-03 iter. number =  1200 denomin. =        0.1106976E+00

  global error =        0.3703924E-03 iter. number =  1300 denomin. =        0.1068387E+00

  global error =        0.3258991E-03 iter. number =  1400 denomin. =        0.1045104E+00

  global error =        0.2937195E-03 iter. number =  1500 denomin. =        0.1031662E+00

  global error =        0.2680855E-03 iter. number =  1600 denomin. =        0.1031658E+00

  global error =        0.2433328E-03 iter. number =  1700 denomin. =        0.1039830E+00

  global error =        0.2119262E-03 iter. number =  1800 denomin. =        0.1046655E+00

  global error =        0.2033006E-03 iter. number =  1900 denomin. =        0.1050544E+00

  global error =        0.1930949E-03 iter. number =  2000 denomin. =        0.1055385E+00

  global error =        0.1887438E-03 iter. number =  2100 denomin. =        0.1061432E+00

  global error =        0.1828968E-03 iter. number =  2200 denomin. =        0.1065826E+00

  global error =        0.1749795E-03 iter. number =  2300 denomin. =        0.1067251E+00

  global error =        0.1672138E-03 iter. number =  2400 denomin. =        0.1067304E+00

  global error =        0.1652410E-03 iter. number =  2500 denomin. =        0.1066741E+00

  global error =        0.1653339E-03 iter. number =  2600 denomin. =        0.1065617E+00

  global error =        0.1595192E-03 iter. number =  2700 denomin. =        0.1064650E+00

  global error =        0.1534849E-03 iter. number =  2800 denomin. =        0.1064256E+00

  global error =        0.1526689E-03 iter. number =  2900 denomin. =        0.1063945E+00

  global error =        0.1515959E-03 iter. number =  3000 denomin. =        0.1063328E+00

  global error =        0.1464041E-03 iter. number =  3100 denomin. =        0.1062762E+00

  global error =        0.1425969E-03 iter. number =  3200 denomin. =        0.1062747E+00

  global error =        0.1418190E-03 iter. number =  3300 denomin. =        0.1063109E+00

  global error =        0.1395513E-03 iter. number =  3400 denomin. =        0.1063439E+00

  global error =        0.1351517E-03 iter. number =  3500 denomin. =        0.1063664E+00

  global error =        0.1329107E-03 iter. number =  3600 denomin. =        0.1063850E+00

  global error =        0.1318661E-03 iter. number =  3700 denomin. =        0.1063965E+00

  global error =        0.1293484E-03 iter. number =  3800 denomin. =        0.1063980E+00

  global error =        0.1261749E-03 iter. number =  3900 denomin. =        0.1063960E+00

  global error =        0.1244254E-03 iter. number =  4000 denomin. =        0.1063940E+00

  NO convergence  for freq. #   188 after   4001 inner iterations 
 relative error value reduction =       0.12442545E-03


  frequency number   187 frequency :       0.13987500E+01
 jw  real sour, imag sour =    187      0.47137E-03     -0.33636E-01

  global error =        0.3907567E-02 iter. number =   100 denomin. =        0.1191720E+00

  global error =        0.2499967E-02 iter. number =   200 denomin. =        0.1180745E+00

  global error =        0.2126651E-02 iter. number =   300 denomin. =        0.1146424E+00

  global error =        0.1787513E-02 iter. number =   400 denomin. =        0.1114684E+00

  global error =        0.1254508E-02 iter. number =   500 denomin. =        0.1091000E+00

  global error =        0.9576314E-03 iter. number =   600 denomin. =        0.1149938E+00

  global error =        0.7949026E-03 iter. number =   700 denomin. =        0.1224530E+00

  global error =        0.6614948E-03 iter. number =   800 denomin. =        0.1278109E+00

  global error =        0.5193437E-03 iter. number =   900 denomin. =        0.1298701E+00

  global error =        0.4650758E-03 iter. number =  1000 denomin. =        0.1282562E+00

  global error =        0.4318701E-03 iter. number =  1100 denomin. =        0.1273913E+00

  global error =        0.3545249E-03 iter. number =  1200 denomin. =        0.1267278E+00

  global error =        0.3247743E-03 iter. number =  1300 denomin. =        0.1259843E+00

  global error =        0.3076747E-03 iter. number =  1400 denomin. =        0.1256222E+00

  global error =        0.3007017E-03 iter. number =  1500 denomin. =        0.1244629E+00

  global error =        0.2810946E-03 iter. number =  1600 denomin. =        0.1230509E+00

  global error =        0.2732356E-03 iter. number =  1700 denomin. =        0.1224606E+00

  global error =        0.2623036E-03 iter. number =  1800 denomin. =        0.1223878E+00

  global error =        0.2528828E-03 iter. number =  1900 denomin. =        0.1227273E+00

  global error =        0.2552862E-03 iter. number =  2000 denomin. =        0.1230443E+00

  global error =        0.2501274E-03 iter. number =  2100 denomin. =        0.1232256E+00

  global error =        0.2390772E-03 iter. number =  2200 denomin. =        0.1234373E+00

  global error =        0.2364787E-03 iter. number =  2300 denomin. =        0.1236057E+00

  global error =        0.2390970E-03 iter. number =  2400 denomin. =        0.1237461E+00

  global error =        0.2318147E-03 iter. number =  2500 denomin. =        0.1239145E+00

  global error =        0.2247050E-03 iter. number =  2600 denomin. =        0.1239544E+00

  global error =        0.2272044E-03 iter. number =  2700 denomin. =        0.1239021E+00

  global error =        0.2247139E-03 iter. number =  2800 denomin. =        0.1238283E+00

  global error =        0.2169256E-03 iter. number =  2900 denomin. =        0.1237541E+00

  global error =        0.2164683E-03 iter. number =  3000 denomin. =        0.1237030E+00

  global error =        0.2173795E-03 iter. number =  3100 denomin. =        0.1236677E+00

  global error =        0.2115128E-03 iter. number =  3200 denomin. =        0.1236365E+00

  global error =        0.2076421E-03 iter. number =  3300 denomin. =        0.1236177E+00

  global error =        0.2091216E-03 iter. number =  3400 denomin. =        0.1236036E+00

  global error =        0.2062547E-03 iter. number =  3500 denomin. =        0.1236084E+00

  global error =        0.2007098E-03 iter. number =  3600 denomin. =        0.1236288E+00

  global error =        0.2004320E-03 iter. number =  3700 denomin. =        0.1236470E+00

  global error =        0.1997813E-03 iter. number =  3800 denomin. =        0.1236607E+00

  global error =        0.1948642E-03 iter. number =  3900 denomin. =        0.1236684E+00

  global error =        0.1926897E-03 iter. number =  4000 denomin. =        0.1236679E+00

  NO convergence  for freq. #   187 after   4001 inner iterations 
 relative error value reduction =       0.19268967E-03


  frequency number   186 frequency :       0.13912500E+01
 jw  real sour, imag sour =    186      0.34565E-02     -0.35099E-01

  global error =        0.3961121E-02 iter. number =   100 denomin. =        0.1295449E+00

  global error =        0.2946483E-02 iter. number =   200 denomin. =        0.1362021E+00

  global error =        0.2694986E-02 iter. number =   300 denomin. =        0.1472067E+00

  global error =        0.2432603E-02 iter. number =   400 denomin. =        0.1610926E+00

  global error =        0.2266278E-02 iter. number =   500 denomin. =        0.1795122E+00

  global error =        0.1467269E-02 iter. number =   600 denomin. =        0.1917995E+00

  global error =        0.9937301E-03 iter. number =   700 denomin. =        0.1975053E+00

  global error =        0.9432818E-03 iter. number =   800 denomin. =        0.1979526E+00

  global error =        0.9003467E-03 iter. number =   900 denomin. =        0.1949758E+00

  global error =        0.7982969E-03 iter. number =  1000 denomin. =        0.1889895E+00

  global error =        0.5447711E-03 iter. number =  1100 denomin. =        0.1817381E+00

  global error =        0.4887895E-03 iter. number =  1200 denomin. =        0.1753338E+00

  global error =        0.4609785E-03 iter. number =  1300 denomin. =        0.1679621E+00

  global error =        0.4421570E-03 iter. number =  1400 denomin. =        0.1606807E+00

  global error =        0.3813088E-03 iter. number =  1500 denomin. =        0.1546162E+00

  global error =        0.3238335E-03 iter. number =  1600 denomin. =        0.1507433E+00

  global error =        0.3114800E-03 iter. number =  1700 denomin. =        0.1481198E+00

  global error =        0.2945603E-03 iter. number =  1800 denomin. =        0.1464506E+00

  global error =        0.2783254E-03 iter. number =  1900 denomin. =        0.1456836E+00

  global error =        0.2595547E-03 iter. number =  2000 denomin. =        0.1455823E+00

  global error =        0.2496240E-03 iter. number =  2100 denomin. =        0.1458042E+00

  global error =        0.2390377E-03 iter. number =  2200 denomin. =        0.1464066E+00

  global error =        0.2299658E-03 iter. number =  2300 denomin. =        0.1472344E+00

  global error =        0.2244576E-03 iter. number =  2400 denomin. =        0.1480621E+00

  global error =        0.2176411E-03 iter. number =  2500 denomin. =        0.1487401E+00

  global error =        0.2102588E-03 iter. number =  2600 denomin. =        0.1492774E+00

  global error =        0.2065030E-03 iter. number =  2700 denomin. =        0.1496783E+00

  global error =        0.2028886E-03 iter. number =  2800 denomin. =        0.1499292E+00

  global error =        0.1964736E-03 iter. number =  2900 denomin. =        0.1500792E+00

  global error =        0.1927076E-03 iter. number =  3000 denomin. =        0.1501604E+00

  global error =        0.1905591E-03 iter. number =  3100 denomin. =        0.1501594E+00

  global error =        0.1858349E-03 iter. number =  3200 denomin. =        0.1500894E+00

  global error =        0.1808399E-03 iter. number =  3300 denomin. =        0.1499944E+00

  global error =        0.1792270E-03 iter. number =  3400 denomin. =        0.1498956E+00

  global error =        0.1766680E-03 iter. number =  3500 denomin. =        0.1497997E+00

  global error =        0.1711629E-03 iter. number =  3600 denomin. =        0.1497152E+00

  global error =        0.1684496E-03 iter. number =  3700 denomin. =        0.1496529E+00

  global error =        0.1673252E-03 iter. number =  3800 denomin. =        0.1496049E+00

  global error =        0.1630752E-03 iter. number =  3900 denomin. =        0.1495694E+00

  global error =        0.1589952E-03 iter. number =  4000 denomin. =        0.1495514E+00

  NO convergence  for freq. #   186 after   4001 inner iterations 
 relative error value reduction =       0.15899524E-03


  frequency number   185 frequency :       0.13837500E+01
 jw  real sour, imag sour =    185      0.67019E-02     -0.36353E-01

  global error =        0.4294692E-02 iter. number =   100 denomin. =        0.1529888E+00

  global error =        0.2964928E-02 iter. number =   200 denomin. =        0.1455552E+00

  global error =        0.2736924E-02 iter. number =   300 denomin. =        0.1393208E+00

  global error =        0.2124187E-02 iter. number =   400 denomin. =        0.1335221E+00

  global error =        0.1393066E-02 iter. number =   500 denomin. =        0.1297950E+00

  global error =        0.1077500E-02 iter. number =   600 denomin. =        0.1356387E+00

  global error =        0.1121158E-02 iter. number =   700 denomin. =        0.1450609E+00

  global error =        0.9131076E-03 iter. number =   800 denomin. =        0.1557138E+00

  global error =        0.6320305E-03 iter. number =   900 denomin. =        0.1612672E+00

  global error =        0.4320201E-03 iter. number =  1000 denomin. =        0.1612249E+00

  global error =        0.4265813E-03 iter. number =  1100 denomin. =        0.1600898E+00

  global error =        0.4374503E-03 iter. number =  1200 denomin. =        0.1580890E+00

  global error =        0.3579674E-03 iter. number =  1300 denomin. =        0.1580955E+00

  global error =        0.2773291E-03 iter. number =  1400 denomin. =        0.1591098E+00

  global error =        0.2399483E-03 iter. number =  1500 denomin. =        0.1589984E+00

  global error =        0.2456807E-03 iter. number =  1600 denomin. =        0.1576073E+00

  global error =        0.2360918E-03 iter. number =  1700 denomin. =        0.1556535E+00

  global error =        0.2110338E-03 iter. number =  1800 denomin. =        0.1543543E+00

  global error =        0.1987746E-03 iter. number =  1900 denomin. =        0.1539443E+00

  global error =        0.1916408E-03 iter. number =  2000 denomin. =        0.1538952E+00

  global error =        0.1842836E-03 iter. number =  2100 denomin. =        0.1540671E+00

  global error =        0.1796320E-03 iter. number =  2200 denomin. =        0.1540662E+00

  global error =        0.1768131E-03 iter. number =  2300 denomin. =        0.1538916E+00

  global error =        0.1682440E-03 iter. number =  2400 denomin. =        0.1537898E+00

  global error =        0.1630713E-03 iter. number =  2500 denomin. =        0.1538785E+00

  global error =        0.1634494E-03 iter. number =  2600 denomin. =        0.1541147E+00

  global error =        0.1579923E-03 iter. number =  2700 denomin. =        0.1543357E+00

  global error =        0.1518394E-03 iter. number =  2800 denomin. =        0.1544557E+00

  global error =        0.1517128E-03 iter. number =  2900 denomin. =        0.1545010E+00

  global error =        0.1492212E-03 iter. number =  3000 denomin. =        0.1544940E+00

  global error =        0.1429700E-03 iter. number =  3100 denomin. =        0.1544931E+00

  global error =        0.1417401E-03 iter. number =  3200 denomin. =        0.1545225E+00

  global error =        0.1412643E-03 iter. number =  3300 denomin. =        0.1545557E+00

  global error =        0.1355319E-03 iter. number =  3400 denomin. =        0.1545613E+00

  global error =        0.1327320E-03 iter. number =  3500 denomin. =        0.1545342E+00

  global error =        0.1333050E-03 iter. number =  3600 denomin. =        0.1544989E+00

  global error =        0.1292898E-03 iter. number =  3700 denomin. =        0.1544723E+00

  global error =        0.1251955E-03 iter. number =  3800 denomin. =        0.1544553E+00

  global error =        0.1256971E-03 iter. number =  3900 denomin. =        0.1544466E+00

  global error =        0.1236200E-03 iter. number =  4000 denomin. =        0.1544429E+00

  NO convergence  for freq. #   185 after   4001 inner iterations 
 relative error value reduction =       0.12362003E-03


  frequency number   184 frequency :       0.13762500E+01
 jw  real sour, imag sour =    184      0.10199E-01     -0.37365E-01

  global error =        0.4367431E-02 iter. number =   100 denomin. =        0.1637775E+00

  global error =        0.3234175E-02 iter. number =   200 denomin. =        0.1753022E+00

  global error =        0.2898704E-02 iter. number =   300 denomin. =        0.1873557E+00

  global error =        0.2621417E-02 iter. number =   400 denomin. =        0.2015051E+00

  global error =        0.2410122E-02 iter. number =   500 denomin. =        0.2188863E+00

  global error =        0.1595353E-02 iter. number =   600 denomin. =        0.2253670E+00

  global error =        0.1119019E-02 iter. number =   700 denomin. =        0.2176318E+00

  global error =        0.1037430E-02 iter. number =   800 denomin. =        0.2038169E+00

  global error =        0.1051736E-02 iter. number =   900 denomin. =        0.1904014E+00

  global error =        0.9465007E-03 iter. number =  1000 denomin. =        0.1765779E+00

  global error =        0.6501568E-03 iter. number =  1100 denomin. =        0.1635075E+00

  global error =        0.5527288E-03 iter. number =  1200 denomin. =        0.1539500E+00

  global error =        0.5203788E-03 iter. number =  1300 denomin. =        0.1470924E+00

  global error =        0.5102751E-03 iter. number =  1400 denomin. =        0.1422802E+00

  global error =        0.4180341E-03 iter. number =  1500 denomin. =        0.1399613E+00

  global error =        0.3364861E-03 iter. number =  1600 denomin. =        0.1405313E+00

  global error =        0.3104534E-03 iter. number =  1700 denomin. =        0.1424979E+00

  global error =        0.2880960E-03 iter. number =  1800 denomin. =        0.1445968E+00

  global error =        0.2721035E-03 iter. number =  1900 denomin. =        0.1466224E+00

  global error =        0.2506359E-03 iter. number =  2000 denomin. =        0.1484406E+00

  global error =        0.2320083E-03 iter. number =  2100 denomin. =        0.1496426E+00

  global error =        0.2198114E-03 iter. number =  2200 denomin. =        0.1503139E+00

  global error =        0.2199197E-03 iter. number =  2300 denomin. =        0.1506753E+00

  global error =        0.2133286E-03 iter. number =  2400 denomin. =        0.1507549E+00

  global error =        0.2023442E-03 iter. number =  2500 denomin. =        0.1504864E+00

  global error =        0.2010807E-03 iter. number =  2600 denomin. =        0.1500265E+00

  global error =        0.1996368E-03 iter. number =  2700 denomin. =        0.1495884E+00

  global error =        0.1926732E-03 iter. number =  2800 denomin. =        0.1492277E+00

  global error =        0.1890348E-03 iter. number =  2900 denomin. =        0.1489424E+00

  global error =        0.1887863E-03 iter. number =  3000 denomin. =        0.1487769E+00

  global error =        0.1838277E-03 iter. number =  3100 denomin. =        0.1487153E+00

  global error =        0.1789042E-03 iter. number =  3200 denomin. =        0.1487031E+00

  global error =        0.1784946E-03 iter. number =  3300 denomin. =        0.1487239E+00

  global error =        0.1753617E-03 iter. number =  3400 denomin. =        0.1487859E+00

  global error =        0.1704465E-03 iter. number =  3500 denomin. =        0.1488690E+00

  global error =        0.1690754E-03 iter. number =  3600 denomin. =        0.1489427E+00

  global error =        0.1671243E-03 iter. number =  3700 denomin. =        0.1489979E+00

  global error =        0.1631249E-03 iter. number =  3800 denomin. =        0.1490338E+00

  global error =        0.1609724E-03 iter. number =  3900 denomin. =        0.1490492E+00

  global error =        0.1594690E-03 iter. number =  4000 denomin. =        0.1490517E+00

  NO convergence  for freq. #   184 after   4001 inner iterations 
 relative error value reduction =       0.15946902E-03


  frequency number   183 frequency :       0.13687500E+01
 jw  real sour, imag sour =    183      0.13935E-01     -0.38102E-01

  global error =        0.3927350E-02 iter. number =   100 denomin. =        0.1528249E+00

  global error =        0.2530502E-02 iter. number =   200 denomin. =        0.1496675E+00

  global error =        0.2164490E-02 iter. number =   300 denomin. =        0.1490265E+00

  global error =        0.1726917E-02 iter. number =   400 denomin. =        0.1494603E+00

  global error =        0.1129156E-02 iter. number =   500 denomin. =        0.1524846E+00

  global error =        0.9211541E-03 iter. number =   600 denomin. =        0.1628668E+00

  global error =        0.8777105E-03 iter. number =   700 denomin. =        0.1744116E+00

  global error =        0.7151237E-03 iter. number =   800 denomin. =        0.1848726E+00

  global error =        0.4973602E-03 iter. number =   900 denomin. =        0.1896121E+00

  global error =        0.3732832E-03 iter. number =  1000 denomin. =        0.1896975E+00

  global error =        0.3646921E-03 iter. number =  1100 denomin. =        0.1908351E+00

  global error =        0.3415904E-03 iter. number =  1200 denomin. =        0.1916844E+00

  global error =        0.2900355E-03 iter. number =  1300 denomin. =        0.1928028E+00

  global error =        0.2324602E-03 iter. number =  1400 denomin. =        0.1931041E+00

  global error =        0.2149988E-03 iter. number =  1500 denomin. =        0.1916928E+00

  global error =        0.2137155E-03 iter. number =  1600 denomin. =        0.1899239E+00

  global error =        0.2048726E-03 iter. number =  1700 denomin. =        0.1884043E+00

  global error =        0.1882979E-03 iter. number =  1800 denomin. =        0.1877222E+00

  global error =        0.1759365E-03 iter. number =  1900 denomin. =        0.1875908E+00

  global error =        0.1745065E-03 iter. number =  2000 denomin. =        0.1871881E+00

  global error =        0.1711201E-03 iter. number =  2100 denomin. =        0.1867455E+00

  global error =        0.1642158E-03 iter. number =  2200 denomin. =        0.1864439E+00

  global error =        0.1597184E-03 iter. number =  2300 denomin. =        0.1863611E+00

  global error =        0.1568894E-03 iter. number =  2400 denomin. =        0.1865390E+00

  global error =        0.1529667E-03 iter. number =  2500 denomin. =        0.1867756E+00

  global error =        0.1488963E-03 iter. number =  2600 denomin. =        0.1870072E+00

  global error =        0.1463041E-03 iter. number =  2700 denomin. =        0.1871687E+00

  global error =        0.1434368E-03 iter. number =  2800 denomin. =        0.1872846E+00

  global error =        0.1396016E-03 iter. number =  2900 denomin. =        0.1874587E+00

  global error =        0.1369765E-03 iter. number =  3000 denomin. =        0.1876526E+00

  global error =        0.1348228E-03 iter. number =  3100 denomin. =        0.1878206E+00

  global error =        0.1316224E-03 iter. number =  3200 denomin. =        0.1879606E+00

  global error =        0.1287171E-03 iter. number =  3300 denomin. =        0.1880616E+00

  global error =        0.1266282E-03 iter. number =  3400 denomin. =        0.1881497E+00

  global error =        0.1241707E-03 iter. number =  3500 denomin. =        0.1882478E+00

  global error =        0.1213097E-03 iter. number =  3600 denomin. =        0.1883524E+00

  global error =        0.1190900E-03 iter. number =  3700 denomin. =        0.1884508E+00

  global error =        0.1171269E-03 iter. number =  3800 denomin. =        0.1885446E+00

  global error =        0.1145542E-03 iter. number =  3900 denomin. =        0.1886425E+00

  global error =        0.1122683E-03 iter. number =  4000 denomin. =        0.1887360E+00

  NO convergence  for freq. #   183 after   4001 inner iterations 
 relative error value reduction =       0.11226831E-03


  frequency number   182 frequency :       0.13612500E+01
 jw  real sour, imag sour =    182      0.17893E-01     -0.38530E-01

  global error =        0.4383896E-02 iter. number =   100 denomin. =        0.1993765E+00

  global error =        0.3329156E-02 iter. number =   200 denomin. =        0.2101534E+00

  global error =        0.3081917E-02 iter. number =   300 denomin. =        0.2221246E+00

  global error =        0.2820330E-02 iter. number =   400 denomin. =        0.2367104E+00

  global error =        0.2581500E-02 iter. number =   500 denomin. =        0.2530032E+00

  global error =        0.1818411E-02 iter. number =   600 denomin. =        0.2561636E+00

  global error =        0.1390815E-02 iter. number =   700 denomin. =        0.2461007E+00

  global error =        0.1330505E-02 iter. number =   800 denomin. =        0.2301873E+00

  global error =        0.1350861E-02 iter. number =   900 denomin. =        0.2127465E+00

  global error =        0.1297245E-02 iter. number =  1000 denomin. =        0.1953782E+00

  global error =        0.1053529E-02 iter. number =  1100 denomin. =        0.1815509E+00

  global error =        0.1021258E-02 iter. number =  1200 denomin. =        0.1732478E+00

  global error =        0.1056804E-02 iter. number =  1300 denomin. =        0.1675821E+00

  global error =        0.9911079E-03 iter. number =  1400 denomin. =        0.1645375E+00

  global error =        0.9309554E-03 iter. number =  1500 denomin. =        0.1644669E+00

  global error =        0.9348529E-03 iter. number =  1600 denomin. =        0.1666429E+00

  global error =        0.8823779E-03 iter. number =  1700 denomin. =        0.1694798E+00

  global error =        0.8347270E-03 iter. number =  1800 denomin. =        0.1722129E+00

  global error =        0.8621219E-03 iter. number =  1900 denomin. =        0.1744239E+00

  global error =        0.8352654E-03 iter. number =  2000 denomin. =        0.1757925E+00

  global error =        0.7853343E-03 iter. number =  2100 denomin. =        0.1760814E+00

  global error =        0.8102516E-03 iter. number =  2200 denomin. =        0.1758459E+00

  global error =        0.8115186E-03 iter. number =  2300 denomin. =        0.1754855E+00

  global error =        0.7659834E-03 iter. number =  2400 denomin. =        0.1749810E+00

  global error =        0.7752924E-03 iter. number =  2500 denomin. =        0.1743806E+00

  global error =        0.7893723E-03 iter. number =  2600 denomin. =        0.1739732E+00

  global error =        0.7512265E-03 iter. number =  2700 denomin. =        0.1736594E+00

  global error =        0.7448786E-03 iter. number =  2800 denomin. =        0.1733139E+00

  global error =        0.7645772E-03 iter. number =  2900 denomin. =        0.1731159E+00

  global error =        0.7360035E-03 iter. number =  3000 denomin. =        0.1730788E+00

  global error =        0.7175390E-03 iter. number =  3100 denomin. =        0.1730143E+00

  global error =        0.7367777E-03 iter. number =  3200 denomin. =        0.1730160E+00

  global error =        0.7186297E-03 iter. number =  3300 denomin. =        0.1731496E+00

  global error =        0.6937076E-03 iter. number =  3400 denomin. =        0.1732452E+00

  global error =        0.7079837E-03 iter. number =  3500 denomin. =        0.1733025E+00

  global error =        0.6994803E-03 iter. number =  3600 denomin. =        0.1734217E+00

  global error =        0.6732291E-03 iter. number =  3700 denomin. =        0.1734462E+00

  global error =        0.6807846E-03 iter. number =  3800 denomin. =        0.1733390E+00

  global error =        0.6799225E-03 iter. number =  3900 denomin. =        0.1732589E+00

  global error =        0.6555533E-03 iter. number =  4000 denomin. =        0.1731566E+00

  NO convergence  for freq. #   182 after   4001 inner iterations 
 relative error value reduction =       0.65555329E-03


  frequency number   181 frequency :       0.13537500E+01
 jw  real sour, imag sour =    181      0.22054E-01     -0.38617E-01

  global error =        0.3998582E-02 iter. number =   100 denomin. =        0.1794154E+00

  global error =        0.2681249E-02 iter. number =   200 denomin. =        0.1795696E+00

  global error =        0.2419843E-02 iter. number =   300 denomin. =        0.1791885E+00

  global error =        0.1920195E-02 iter. number =   400 denomin. =        0.1797916E+00

  global error =        0.1529407E-02 iter. number =   500 denomin. =        0.1849951E+00

  global error =        0.1412787E-02 iter. number =   600 denomin. =        0.1966150E+00

  global error =        0.1324487E-02 iter. number =   700 denomin. =        0.2090871E+00

  global error =        0.1175348E-02 iter. number =   800 denomin. =        0.2199496E+00

  global error =        0.1082765E-02 iter. number =   900 denomin. =        0.2251652E+00

  global error =        0.1046456E-02 iter. number =  1000 denomin. =        0.2270496E+00

  global error =        0.9896888E-03 iter. number =  1100 denomin. =        0.2296294E+00

  global error =        0.9690261E-03 iter. number =  1200 denomin. =        0.2322991E+00

  global error =        0.9570888E-03 iter. number =  1300 denomin. =        0.2347186E+00

  global error =        0.9093119E-03 iter. number =  1400 denomin. =        0.2352364E+00

  global error =        0.8849374E-03 iter. number =  1500 denomin. =        0.2342436E+00

  global error =        0.8958602E-03 iter. number =  1600 denomin. =        0.2331314E+00

  global error =        0.8704869E-03 iter. number =  1700 denomin. =        0.2323761E+00

  global error =        0.8373625E-03 iter. number =  1800 denomin. =        0.2321456E+00

  global error =        0.8416310E-03 iter. number =  1900 denomin. =        0.2318208E+00

  global error =        0.8276743E-03 iter. number =  2000 denomin. =        0.2311417E+00

  global error =        0.7970428E-03 iter. number =  2100 denomin. =        0.2304133E+00

  global error =        0.7948863E-03 iter. number =  2200 denomin. =        0.2299080E+00

  global error =        0.7869511E-03 iter. number =  2300 denomin. =        0.2297450E+00

  global error =        0.7593659E-03 iter. number =  2400 denomin. =        0.2296805E+00

  global error =        0.7487572E-03 iter. number =  2500 denomin. =        0.2295515E+00

  global error =        0.7448884E-03 iter. number =  2600 denomin. =        0.2294375E+00

  global error =        0.7235272E-03 iter. number =  2700 denomin. =        0.2293707E+00

  global error =        0.7063716E-03 iter. number =  2800 denomin. =        0.2293510E+00

  global error =        0.7035997E-03 iter. number =  2900 denomin. =        0.2293624E+00

  global error =        0.6880750E-03 iter. number =  3000 denomin. =        0.2293928E+00

  global error =        0.6677861E-03 iter. number =  3100 denomin. =        0.2294234E+00

  global error =        0.6641711E-03 iter. number =  3200 denomin. =        0.2294324E+00

  global error =        0.6531092E-03 iter. number =  3300 denomin. =        0.2294247E+00

  global error =        0.6328065E-03 iter. number =  3400 denomin. =        0.2294076E+00

  global error =        0.6269632E-03 iter. number =  3500 denomin. =        0.2294107E+00

  global error =        0.6186211E-03 iter. number =  3600 denomin. =        0.2294419E+00

  global error =        0.6004385E-03 iter. number =  3700 denomin. =        0.2294402E+00

  global error =        0.5921558E-03 iter. number =  3800 denomin. =        0.2293953E+00

  global error =        0.5852770E-03 iter. number =  3900 denomin. =        0.2293709E+00

  global error =        0.5702412E-03 iter. number =  4000 denomin. =        0.2293757E+00

  NO convergence  for freq. #   181 after   4001 inner iterations 
 relative error value reduction =       0.57024123E-03


  frequency number   180 frequency :       0.13462500E+01
 jw  real sour, imag sour =    180      0.26394E-01     -0.38329E-01

  global error =        0.4565122E-02 iter. number =   100 denomin. =        0.2377246E+00

  global error =        0.3485379E-02 iter. number =   200 denomin. =        0.2445853E+00

  global error =        0.3179338E-02 iter. number =   300 denomin. =        0.2558262E+00

  global error =        0.2895575E-02 iter. number =   400 denomin. =        0.2678400E+00

  global error =        0.2612952E-02 iter. number =   500 denomin. =        0.2769244E+00

  global error =        0.1773320E-02 iter. number =   600 denomin. =        0.2721776E+00

  global error =        0.1260715E-02 iter. number =   700 denomin. =        0.2555444E+00

  global error =        0.1199337E-02 iter. number =   800 denomin. =        0.2344867E+00

  global error =        0.1211746E-02 iter. number =   900 denomin. =        0.2139739E+00

  global error =        0.1116427E-02 iter. number =  1000 denomin. =        0.1962557E+00

  global error =        0.8673407E-03 iter. number =  1100 denomin. =        0.1864223E+00

  global error =        0.7681339E-03 iter. number =  1200 denomin. =        0.1836592E+00

  global error =        0.7448968E-03 iter. number =  1300 denomin. =        0.1840306E+00

  global error =        0.7110592E-03 iter. number =  1400 denomin. =        0.1860582E+00

  global error =        0.6490784E-03 iter. number =  1500 denomin. =        0.1892326E+00

  global error =        0.6032215E-03 iter. number =  1600 denomin. =        0.1919314E+00

  global error =        0.5741312E-03 iter. number =  1700 denomin. =        0.1935981E+00

  global error =        0.5491591E-03 iter. number =  1800 denomin. =        0.1946454E+00

  global error =        0.5365465E-03 iter. number =  1900 denomin. =        0.1951475E+00

  global error =        0.5171580E-03 iter. number =  2000 denomin. =        0.1949868E+00

  global error =        0.4942023E-03 iter. number =  2100 denomin. =        0.1945050E+00

  global error =        0.4820843E-03 iter. number =  2200 denomin. =        0.1939855E+00

  global error =        0.4703784E-03 iter. number =  2300 denomin. =        0.1934722E+00

  global error =        0.4533732E-03 iter. number =  2400 denomin. =        0.1930409E+00

  global error =        0.4393530E-03 iter. number =  2500 denomin. =        0.1928357E+00

  global error =        0.4281149E-03 iter. number =  2600 denomin. =        0.1928302E+00

  global error =        0.4144066E-03 iter. number =  2700 denomin. =        0.1929200E+00

  global error =        0.4000437E-03 iter. number =  2800 denomin. =        0.1930583E+00

  global error =        0.3894175E-03 iter. number =  2900 denomin. =        0.1932165E+00

  global error =        0.3784327E-03 iter. number =  3000 denomin. =        0.1933357E+00

  global error =        0.3646864E-03 iter. number =  3100 denomin. =        0.1933961E+00

  global error =        0.3546197E-03 iter. number =  3200 denomin. =        0.1934240E+00

  global error =        0.3455212E-03 iter. number =  3300 denomin. =        0.1934337E+00

  global error =        0.3331535E-03 iter. number =  3400 denomin. =        0.1934221E+00

  global error =        0.3234621E-03 iter. number =  3500 denomin. =        0.1934066E+00

  global error =        0.3152246E-03 iter. number =  3600 denomin. =        0.1934017E+00

  global error =        0.3046041E-03 iter. number =  3700 denomin. =        0.1933990E+00

  global error =        0.2953308E-03 iter. number =  3800 denomin. =        0.1933971E+00

  global error =        0.2873529E-03 iter. number =  3900 denomin. =        0.1934041E+00

  global error =        0.2785469E-03 iter. number =  4000 denomin. =        0.1934153E+00

  NO convergence  for freq. #   180 after   4001 inner iterations 
 relative error value reduction =       0.27854687E-03


  frequency number   179 frequency :       0.13387500E+01
 jw  real sour, imag sour =    179      0.30885E-01     -0.37635E-01

  global error =        0.3629312E-02 iter. number =   100 denomin. =        0.2001176E+00

  global error =        0.2373993E-02 iter. number =   200 denomin. =        0.1980718E+00

  global error =        0.2020472E-02 iter. number =   300 denomin. =        0.2004432E+00

  global error =        0.1453489E-02 iter. number =   400 denomin. =        0.2071972E+00

  global error =        0.1032409E-02 iter. number =   500 denomin. =        0.2196787E+00

  global error =        0.8598469E-03 iter. number =   600 denomin. =        0.2354155E+00

  global error =        0.6818866E-03 iter. number =   700 denomin. =        0.2485913E+00

  global error =        0.5940991E-03 iter. number =   800 denomin. =        0.2604423E+00

  global error =        0.4994695E-03 iter. number =   900 denomin. =        0.2684491E+00

  global error =        0.4423471E-03 iter. number =  1000 denomin. =        0.2749148E+00

  global error =        0.3925447E-03 iter. number =  1100 denomin. =        0.2811162E+00

  global error =        0.3771252E-03 iter. number =  1200 denomin. =        0.2859009E+00

  global error =        0.3685341E-03 iter. number =  1300 denomin. =        0.2900001E+00

  global error =        0.3301401E-03 iter. number =  1400 denomin. =        0.2926254E+00

  global error =        0.3193947E-03 iter. number =  1500 denomin. =        0.2944595E+00

  global error =        0.3220280E-03 iter. number =  1600 denomin. =        0.2960500E+00

  global error =        0.2991760E-03 iter. number =  1700 denomin. =        0.2972328E+00

  global error =        0.2878844E-03 iter. number =  1800 denomin. =        0.2982333E+00

  global error =        0.2930085E-03 iter. number =  1900 denomin. =        0.2988301E+00

  global error =        0.2760176E-03 iter. number =  2000 denomin. =        0.2992220E+00

  global error =        0.2630374E-03 iter. number =  2100 denomin. =        0.2995288E+00

  global error =        0.2692126E-03 iter. number =  2200 denomin. =        0.2997438E+00

  global error =        0.2574780E-03 iter. number =  2300 denomin. =        0.2999465E+00

  global error =        0.2432781E-03 iter. number =  2400 denomin. =        0.3000301E+00

  global error =        0.2482500E-03 iter. number =  2500 denomin. =        0.3000424E+00

  global error =        0.2411689E-03 iter. number =  2600 denomin. =        0.3000552E+00

  global error =        0.2270110E-03 iter. number =  2700 denomin. =        0.3000563E+00

  global error =        0.2299643E-03 iter. number =  2800 denomin. =        0.3000586E+00

  global error =        0.2266243E-03 iter. number =  2900 denomin. =        0.3000630E+00

  global error =        0.2133209E-03 iter. number =  3000 denomin. =        0.3000563E+00

  global error =        0.2139859E-03 iter. number =  3100 denomin. =        0.3000351E+00

  global error =        0.2135313E-03 iter. number =  3200 denomin. =        0.3000210E+00

  global error =        0.2016851E-03 iter. number =  3300 denomin. =        0.3000142E+00

  global error =        0.2001354E-03 iter. number =  3400 denomin. =        0.2999918E+00

  global error =        0.2015573E-03 iter. number =  3500 denomin. =        0.2999752E+00

  global error =        0.1915439E-03 iter. number =  3600 denomin. =        0.2999697E+00

  global error =        0.1882334E-03 iter. number =  3700 denomin. =        0.2999534E+00

  global error =        0.1906067E-03 iter. number =  3800 denomin. =        0.2999423E+00

  global error =        0.1824785E-03 iter. number =  3900 denomin. =        0.2999393E+00

  global error =        0.1778943E-03 iter. number =  4000 denomin. =        0.2999262E+00

  NO convergence  for freq. #   179 after   4001 inner iterations 
 relative error value reduction =       0.17789429E-03


  frequency number   178 frequency :       0.13312500E+01
 jw  real sour, imag sour =    178      0.35494E-01     -0.36505E-01

  global error =        0.4772416E-02 iter. number =   100 denomin. =        0.3076090E+00

  global error =        0.3564168E-02 iter. number =   200 denomin. =        0.3075661E+00

  global error =        0.3251609E-02 iter. number =   300 denomin. =        0.2999842E+00

  global error =        0.2936383E-02 iter. number =   400 denomin. =        0.2868069E+00

  global error =        0.2467665E-02 iter. number =   500 denomin. =        0.2648591E+00

  global error =        0.1691267E-02 iter. number =   600 denomin. =        0.2361070E+00

  global error =        0.1196735E-02 iter. number =   700 denomin. =        0.2104831E+00

  global error =        0.1092836E-02 iter. number =   800 denomin. =        0.1944942E+00

  global error =        0.9835827E-03 iter. number =   900 denomin. =        0.1871697E+00

  global error =        0.7996100E-03 iter. number =  1000 denomin. =        0.1876998E+00

  global error =        0.5619622E-03 iter. number =  1100 denomin. =        0.1926938E+00

  global error =        0.4472442E-03 iter. number =  1200 denomin. =        0.1976632E+00

  global error =        0.4169746E-03 iter. number =  1300 denomin. =        0.2005967E+00

  global error =        0.3825435E-03 iter. number =  1400 denomin. =        0.2017708E+00

  global error =        0.3474565E-03 iter. number =  1500 denomin. =        0.2012297E+00

  global error =        0.3234459E-03 iter. number =  1600 denomin. =        0.1997212E+00

  global error =        0.3041788E-03 iter. number =  1700 denomin. =        0.1983553E+00

  global error =        0.2919183E-03 iter. number =  1800 denomin. =        0.1975421E+00

  global error =        0.2903373E-03 iter. number =  1900 denomin. =        0.1972035E+00

  global error =        0.2792733E-03 iter. number =  2000 denomin. =        0.1973337E+00

  global error =        0.2657636E-03 iter. number =  2100 denomin. =        0.1977175E+00

  global error =        0.2642645E-03 iter. number =  2200 denomin. =        0.1980514E+00

  global error =        0.2579010E-03 iter. number =  2300 denomin. =        0.1982488E+00

  global error =        0.2465561E-03 iter. number =  2400 denomin. =        0.1983272E+00

  global error =        0.2446983E-03 iter. number =  2500 denomin. =        0.1982834E+00

  global error =        0.2404844E-03 iter. number =  2600 denomin. =        0.1981808E+00

  global error =        0.2301272E-03 iter. number =  2700 denomin. =        0.1980943E+00

  global error =        0.2270467E-03 iter. number =  2800 denomin. =        0.1980375E+00

  global error =        0.2242880E-03 iter. number =  2900 denomin. =        0.1980144E+00

  global error =        0.2152926E-03 iter. number =  3000 denomin. =        0.1980274E+00

  global error =        0.2108508E-03 iter. number =  3100 denomin. =        0.1980502E+00

  global error =        0.2088981E-03 iter. number =  3200 denomin. =        0.1980661E+00

  global error =        0.2014382E-03 iter. number =  3300 denomin. =        0.1980781E+00

  global error =        0.1960617E-03 iter. number =  3400 denomin. =        0.1980807E+00

  global error =        0.1945640E-03 iter. number =  3500 denomin. =        0.1980728E+00

  global error =        0.1884742E-03 iter. number =  3600 denomin. =        0.1980645E+00

  global error =        0.1824841E-03 iter. number =  3700 denomin. =        0.1980577E+00

  global error =        0.1811350E-03 iter. number =  3800 denomin. =        0.1980518E+00

  global error =        0.1762391E-03 iter. number =  3900 denomin. =        0.1980512E+00

  global error =        0.1700670E-03 iter. number =  4000 denomin. =        0.1980517E+00

  NO convergence  for freq. #   178 after   4001 inner iterations 
 relative error value reduction =       0.17006704E-03


  frequency number   177 frequency :       0.13237500E+01
 jw  real sour, imag sour =    177      0.40185E-01     -0.34911E-01

  global error =        0.3235811E-02 iter. number =   100 denomin. =        0.2049671E+00

  global error =        0.2153990E-02 iter. number =   200 denomin. =        0.2091030E+00

  global error =        0.1772202E-02 iter. number =   300 denomin. =        0.2195849E+00

  global error =        0.1276481E-02 iter. number =   400 denomin. =        0.2317083E+00

  global error =        0.1095757E-02 iter. number =   500 denomin. =        0.2459161E+00

  global error =        0.7467680E-03 iter. number =   600 denomin. =        0.2566689E+00

  global error =        0.4504439E-03 iter. number =   700 denomin. =        0.2641249E+00

  global error =        0.3746645E-03 iter. number =   800 denomin. =        0.2689260E+00

  global error =        0.2998072E-03 iter. number =   900 denomin. =        0.2719018E+00

  global error =        0.2680317E-03 iter. number =  1000 denomin. =        0.2744065E+00

  global error =        0.2156863E-03 iter. number =  1100 denomin. =        0.2758076E+00

  global error =        0.1783175E-03 iter. number =  1200 denomin. =        0.2766603E+00

  global error =        0.1676192E-03 iter. number =  1300 denomin. =        0.2768262E+00

  global error =        0.1544837E-03 iter. number =  1400 denomin. =        0.2768175E+00

  global error =        0.1457300E-03 iter. number =  1500 denomin. =        0.2767799E+00

  global error =        0.1388985E-03 iter. number =  1600 denomin. =        0.2766495E+00

  global error =        0.1315033E-03 iter. number =  1700 denomin. =        0.2765516E+00

  global error =        0.1255225E-03 iter. number =  1800 denomin. =        0.2763595E+00

  global error =        0.1217024E-03 iter. number =  1900 denomin. =        0.2762083E+00

  global error =        0.1168240E-03 iter. number =  2000 denomin. =        0.2760767E+00

  global error =        0.1117779E-03 iter. number =  2100 denomin. =        0.2759690E+00

  global error =        0.1084394E-03 iter. number =  2200 denomin. =        0.2758988E+00

  global error =        0.1042551E-03 iter. number =  2300 denomin. =        0.2758262E+00

  convergence  for freq. #   177 achieved in  2399 inner iterations 
 relative error value =       0.99966561E-04


  frequency number   176 frequency :       0.13162500E+01
 jw  real sour, imag sour =    176      0.44918E-01     -0.32829E-01

  global error =        0.4025089E-02 iter. number =   100 denomin. =        0.2840371E+00

  global error =        0.2963585E-02 iter. number =   200 denomin. =        0.2755855E+00

  global error =        0.2502670E-02 iter. number =   300 denomin. =        0.2643994E+00

  global error =        0.1946774E-02 iter. number =   400 denomin. =        0.2531340E+00

  global error =        0.1303215E-02 iter. number =   500 denomin. =        0.2439118E+00

  global error =        0.8603212E-03 iter. number =   600 denomin. =        0.2418205E+00

  global error =        0.6540143E-03 iter. number =   700 denomin. =        0.2467233E+00

  global error =        0.5484593E-03 iter. number =   800 denomin. =        0.2543760E+00

  global error =        0.4288057E-03 iter. number =   900 denomin. =        0.2611781E+00

  global error =        0.3116252E-03 iter. number =  1000 denomin. =        0.2647866E+00

  global error =        0.2338777E-03 iter. number =  1100 denomin. =        0.2646964E+00

  global error =        0.2079437E-03 iter. number =  1200 denomin. =        0.2625856E+00

  global error =        0.1969907E-03 iter. number =  1300 denomin. =        0.2604576E+00

  global error =        0.1745133E-03 iter. number =  1400 denomin. =        0.2593028E+00

  global error =        0.1636252E-03 iter. number =  1500 denomin. =        0.2590848E+00

  global error =        0.1597749E-03 iter. number =  1600 denomin. =        0.2592651E+00

  global error =        0.1472831E-03 iter. number =  1700 denomin. =        0.2594162E+00

  global error =        0.1438868E-03 iter. number =  1800 denomin. =        0.2594274E+00

  global error =        0.1456406E-03 iter. number =  1900 denomin. =        0.2593194E+00

  global error =        0.1363133E-03 iter. number =  2000 denomin. =        0.2591842E+00

  global error =        0.1320540E-03 iter. number =  2100 denomin. =        0.2591233E+00

  global error =        0.1346166E-03 iter. number =  2200 denomin. =        0.2591556E+00

  global error =        0.1274663E-03 iter. number =  2300 denomin. =        0.2592272E+00

  global error =        0.1224901E-03 iter. number =  2400 denomin. =        0.2592851E+00

  global error =        0.1249961E-03 iter. number =  2500 denomin. =        0.2593133E+00

  global error =        0.1196722E-03 iter. number =  2600 denomin. =        0.2593164E+00

  global error =        0.1141026E-03 iter. number =  2700 denomin. =        0.2593030E+00

  global error =        0.1159794E-03 iter. number =  2800 denomin. =        0.2592870E+00

  global error =        0.1123046E-03 iter. number =  2900 denomin. =        0.2592806E+00

  global error =        0.1067215E-03 iter. number =  3000 denomin. =        0.2592798E+00

  global error =        0.1078612E-03 iter. number =  3100 denomin. =        0.2592785E+00

  global error =        0.1053485E-03 iter. number =  3200 denomin. =        0.2592773E+00

  convergence  for freq. #   176 achieved in  3296 inner iterations 
 relative error value =       0.99985494E-04


  frequency number   175 frequency :       0.13087500E+01
 jw  real sour, imag sour =    175      0.49648E-01     -0.30234E-01

  global error =        0.3646844E-02 iter. number =   100 denomin. =        0.2751885E+00

  global error =        0.2709858E-02 iter. number =   200 denomin. =        0.2877069E+00

  global error =        0.2346765E-02 iter. number =   300 denomin. =        0.3014241E+00

  global error =        0.1938241E-02 iter. number =   400 denomin. =        0.3165880E+00

  global error =        0.1559187E-02 iter. number =   500 denomin. =        0.3280076E+00

  global error =        0.1042658E-02 iter. number =   600 denomin. =        0.3298931E+00

  global error =        0.5718172E-03 iter. number =   700 denomin. =        0.3230847E+00

  global error =        0.4811189E-03 iter. number =   800 denomin. =        0.3117622E+00

  global error =        0.4176483E-03 iter. number =   900 denomin. =        0.3008980E+00

  global error =        0.3583350E-03 iter. number =  1000 denomin. =        0.2916154E+00

  global error =        0.2634990E-03 iter. number =  1100 denomin. =        0.2854186E+00

  global error =        0.1851705E-03 iter. number =  1200 denomin. =        0.2819971E+00

  global error =        0.1725480E-03 iter. number =  1300 denomin. =        0.2803113E+00

  global error =        0.1599428E-03 iter. number =  1400 denomin. =        0.2793004E+00

  global error =        0.1500462E-03 iter. number =  1500 denomin. =        0.2788544E+00

  global error =        0.1396899E-03 iter. number =  1600 denomin. =        0.2789436E+00

  global error =        0.1293301E-03 iter. number =  1700 denomin. =        0.2793822E+00

  global error =        0.1249894E-03 iter. number =  1800 denomin. =        0.2799464E+00

  global error =        0.1233122E-03 iter. number =  1900 denomin. =        0.2804321E+00

  global error =        0.1188301E-03 iter. number =  2000 denomin. =        0.2807995E+00

  global error =        0.1144447E-03 iter. number =  2100 denomin. =        0.2809894E+00

  global error =        0.1129544E-03 iter. number =  2200 denomin. =        0.2810363E+00

  global error =        0.1098313E-03 iter. number =  2300 denomin. =        0.2810182E+00

  global error =        0.1061329E-03 iter. number =  2400 denomin. =        0.2809896E+00

  global error =        0.1047371E-03 iter. number =  2500 denomin. =        0.2809614E+00

  global error =        0.1021882E-03 iter. number =  2600 denomin. =        0.2809373E+00

  convergence  for freq. #   175 achieved in  2662 inner iterations 
 relative error value =       0.99996241E-04


  frequency number   174 frequency :       0.13012500E+01
 jw  real sour, imag sour =    174      0.54328E-01     -0.27109E-01

  global error =        0.3662338E-02 iter. number =   100 denomin. =        0.2902799E+00

  global error =        0.2459961E-02 iter. number =   200 denomin. =        0.2886596E+00

  global error =        0.2035724E-02 iter. number =   300 denomin. =        0.2861221E+00

  global error =        0.1342733E-02 iter. number =   400 denomin. =        0.2840488E+00

  global error =        0.8765282E-03 iter. number =   500 denomin. =        0.2890855E+00

  global error =        0.6199744E-03 iter. number =   600 denomin. =        0.3016601E+00

  global error =        0.5171820E-03 iter. number =   700 denomin. =        0.3164777E+00

  global error =        0.4383412E-03 iter. number =   800 denomin. =        0.3291125E+00

  global error =        0.3150072E-03 iter. number =   900 denomin. =        0.3374426E+00

  global error =        0.2304432E-03 iter. number =  1000 denomin. =        0.3424071E+00

  global error =        0.1834214E-03 iter. number =  1100 denomin. =        0.3464344E+00

  global error =        0.1644956E-03 iter. number =  1200 denomin. =        0.3499558E+00

  global error =        0.1497252E-03 iter. number =  1300 denomin. =        0.3530335E+00

  global error =        0.1293294E-03 iter. number =  1400 denomin. =        0.3552139E+00

  global error =        0.1165630E-03 iter. number =  1500 denomin. =        0.3563005E+00

  global error =        0.1096617E-03 iter. number =  1600 denomin. =        0.3566807E+00

  global error =        0.1048899E-03 iter. number =  1700 denomin. =        0.3568345E+00

  global error =        0.1014804E-03 iter. number =  1800 denomin. =        0.3570205E+00

  convergence  for freq. #   174 achieved in  1845 inner iterations 
 relative error value =       0.99992660E-04


  frequency number   173 frequency :       0.12937500E+01
 jw  real sour, imag sour =    173      0.58906E-01     -0.23438E-01

  global error =        0.4284246E-02 iter. number =   100 denomin. =        0.3742211E+00

  global error =        0.3437036E-02 iter. number =   200 denomin. =        0.3793891E+00

  global error =        0.3060802E-02 iter. number =   300 denomin. =        0.3829675E+00

  global error =        0.2643350E-02 iter. number =   400 denomin. =        0.3835933E+00

  global error =        0.2205088E-02 iter. number =   500 denomin. =        0.3769258E+00

  global error =        0.1512931E-02 iter. number =   600 denomin. =        0.3578513E+00

  global error =        0.1073276E-02 iter. number =   700 denomin. =        0.3261030E+00

  global error =        0.9498113E-03 iter. number =   800 denomin. =        0.2957488E+00

  global error =        0.8014099E-03 iter. number =   900 denomin. =        0.2772683E+00

  global error =        0.6377457E-03 iter. number =  1000 denomin. =        0.2696053E+00

  global error =        0.4417444E-03 iter. number =  1100 denomin. =        0.2700845E+00

  global error =        0.3603299E-03 iter. number =  1200 denomin. =        0.2759644E+00

  global error =        0.3063688E-03 iter. number =  1300 denomin. =        0.2820836E+00

  global error =        0.2510389E-03 iter. number =  1400 denomin. =        0.2858780E+00

  global error =        0.2177836E-03 iter. number =  1500 denomin. =        0.2875515E+00

  global error =        0.1955847E-03 iter. number =  1600 denomin. =        0.2872732E+00

  global error =        0.1813698E-03 iter. number =  1700 denomin. =        0.2857803E+00

  global error =        0.1712992E-03 iter. number =  1800 denomin. =        0.2843972E+00

  global error =        0.1664172E-03 iter. number =  1900 denomin. =        0.2835773E+00

  global error =        0.1564494E-03 iter. number =  2000 denomin. =        0.2831591E+00

  global error =        0.1526027E-03 iter. number =  2100 denomin. =        0.2831669E+00

  global error =        0.1525513E-03 iter. number =  2200 denomin. =        0.2834045E+00

  global error =        0.1453520E-03 iter. number =  2300 denomin. =        0.2836210E+00

  global error =        0.1419174E-03 iter. number =  2400 denomin. =        0.2837610E+00

  global error =        0.1426665E-03 iter. number =  2500 denomin. =        0.2838359E+00

  global error =        0.1373552E-03 iter. number =  2600 denomin. =        0.2838502E+00

  global error =        0.1336168E-03 iter. number =  2700 denomin. =        0.2838500E+00

  global error =        0.1344721E-03 iter. number =  2800 denomin. =        0.2838517E+00

  global error =        0.1304218E-03 iter. number =  2900 denomin. =        0.2838347E+00

  global error =        0.1265138E-03 iter. number =  3000 denomin. =        0.2837988E+00

  global error =        0.1272021E-03 iter. number =  3100 denomin. =        0.2837580E+00

  global error =        0.1240318E-03 iter. number =  3200 denomin. =        0.2837342E+00

  global error =        0.1201735E-03 iter. number =  3300 denomin. =        0.2837389E+00

  global error =        0.1207414E-03 iter. number =  3400 denomin. =        0.2837584E+00

  global error =        0.1181313E-03 iter. number =  3500 denomin. =        0.2837721E+00

  global error =        0.1140760E-03 iter. number =  3600 denomin. =        0.2837725E+00

  global error =        0.1142601E-03 iter. number =  3700 denomin. =        0.2837646E+00

  global error =        0.1122131E-03 iter. number =  3800 denomin. =        0.2837620E+00

  global error =        0.1081660E-03 iter. number =  3900 denomin. =        0.2837691E+00

  global error =        0.1080006E-03 iter. number =  4000 denomin. =        0.2837739E+00

  NO convergence  for freq. #   173 after   4001 inner iterations 
 relative error value reduction =       0.10800060E-03


  frequency number   172 frequency :       0.12862500E+01
 jw  real sour, imag sour =    172      0.63327E-01     -0.19211E-01

  global error =        0.3347742E-02 iter. number =   100 denomin. =        0.2991070E+00

  global error =        0.2149969E-02 iter. number =   200 denomin. =        0.3015884E+00

  global error =        0.1738374E-02 iter. number =   300 denomin. =        0.3103947E+00

  global error =        0.1271917E-02 iter. number =   400 denomin. =        0.3284067E+00

  global error =        0.9431715E-03 iter. number =   500 denomin. =        0.3562823E+00

  global error =        0.7715901E-03 iter. number =   600 denomin. =        0.3856173E+00

  global error =        0.4657911E-03 iter. number =   700 denomin. =        0.4099534E+00

  global error =        0.3907073E-03 iter. number =   800 denomin. =        0.4305939E+00

  global error =        0.3098477E-03 iter. number =   900 denomin. =        0.4477862E+00

  global error =        0.2725338E-03 iter. number =  1000 denomin. =        0.4625521E+00

  global error =        0.2231550E-03 iter. number =  1100 denomin. =        0.4754570E+00

  global error =        0.1628573E-03 iter. number =  1200 denomin. =        0.4843938E+00

  global error =        0.1458571E-03 iter. number =  1300 denomin. =        0.4913104E+00

  global error =        0.1290177E-03 iter. number =  1400 denomin. =        0.4965674E+00

  global error =        0.1225564E-03 iter. number =  1500 denomin. =        0.5008004E+00

  global error =        0.1084052E-03 iter. number =  1600 denomin. =        0.5041358E+00

  convergence  for freq. #   172 achieved in  1679 inner iterations 
 relative error value =       0.99985049E-04


  frequency number   171 frequency :       0.12787500E+01
 jw  real sour, imag sour =    171      0.67534E-01     -0.14422E-01

  global error =        0.4884243E-02 iter. number =   100 denomin. =        0.5228291E+00

  global error =        0.3734534E-02 iter. number =   200 denomin. =        0.5333981E+00

  global error =        0.3449873E-02 iter. number =   300 denomin. =        0.5361653E+00

  global error =        0.3244296E-02 iter. number =   400 denomin. =        0.5176229E+00

  global error =        0.2780119E-02 iter. number =   500 denomin. =        0.4731813E+00

  global error =        0.1856755E-02 iter. number =   600 denomin. =        0.4230400E+00

  global error =        0.1359648E-02 iter. number =   700 denomin. =        0.3806933E+00

  global error =        0.1323416E-02 iter. number =   800 denomin. =        0.3424335E+00

  global error =        0.1253738E-02 iter. number =   900 denomin. =        0.3133307E+00

  global error =        0.1008592E-02 iter. number =  1000 denomin. =        0.3024797E+00

  global error =        0.7061808E-03 iter. number =  1100 denomin. =        0.3049989E+00

  global error =        0.5916075E-03 iter. number =  1200 denomin. =        0.3122019E+00

  global error =        0.5163280E-03 iter. number =  1300 denomin. =        0.3203656E+00

  global error =        0.4603720E-03 iter. number =  1400 denomin. =        0.3261389E+00

  global error =        0.4211590E-03 iter. number =  1500 denomin. =        0.3283541E+00

  global error =        0.3862566E-03 iter. number =  1600 denomin. =        0.3284385E+00

  global error =        0.3499847E-03 iter. number =  1700 denomin. =        0.3270893E+00

  global error =        0.3356638E-03 iter. number =  1800 denomin. =        0.3249164E+00

  global error =        0.3320030E-03 iter. number =  1900 denomin. =        0.3230580E+00

  global error =        0.3142237E-03 iter. number =  2000 denomin. =        0.3219502E+00

  global error =        0.3109727E-03 iter. number =  2100 denomin. =        0.3214323E+00

  global error =        0.3088130E-03 iter. number =  2200 denomin. =        0.3214728E+00

  global error =        0.2920045E-03 iter. number =  2300 denomin. =        0.3218220E+00

  global error =        0.2883745E-03 iter. number =  2400 denomin. =        0.3221964E+00

  global error =        0.2896670E-03 iter. number =  2500 denomin. =        0.3224953E+00

  global error =        0.2772678E-03 iter. number =  2600 denomin. =        0.3227030E+00

  global error =        0.2720630E-03 iter. number =  2700 denomin. =        0.3227926E+00

  global error =        0.2728228E-03 iter. number =  2800 denomin. =        0.3227900E+00

  global error =        0.2628254E-03 iter. number =  2900 denomin. =        0.3227386E+00

  global error =        0.2574512E-03 iter. number =  3000 denomin. =        0.3226568E+00

  global error =        0.2582560E-03 iter. number =  3100 denomin. =        0.3225534E+00

  global error =        0.2503964E-03 iter. number =  3200 denomin. =        0.3224372E+00

  global error =        0.2446760E-03 iter. number =  3300 denomin. =        0.3223313E+00

  global error =        0.2446873E-03 iter. number =  3400 denomin. =        0.3222434E+00

  global error =        0.2382565E-03 iter. number =  3500 denomin. =        0.3221826E+00

  global error =        0.2326121E-03 iter. number =  3600 denomin. =        0.3221749E+00

  global error =        0.2319911E-03 iter. number =  3700 denomin. =        0.3222096E+00

  global error =        0.2267097E-03 iter. number =  3800 denomin. =        0.3222667E+00

  global error =        0.2213548E-03 iter. number =  3900 denomin. =        0.3223385E+00

  global error =        0.2202166E-03 iter. number =  4000 denomin. =        0.3223963E+00

  NO convergence  for freq. #   171 after   4001 inner iterations 
 relative error value reduction =       0.22021657E-03


  frequency number   170 frequency :       0.12712500E+01
 jw  real sour, imag sour =    170      0.71465E-01     -0.90696E-02

  global error =        0.3682040E-02 iter. number =   100 denomin. =        0.3333081E+00

  global error =        0.2632587E-02 iter. number =   200 denomin. =        0.3424548E+00

  global error =        0.2325478E-02 iter. number =   300 denomin. =        0.3626483E+00

  global error =        0.1665769E-02 iter. number =   400 denomin. =        0.3902334E+00

  global error =        0.1366915E-02 iter. number =   500 denomin. =        0.4279638E+00

  global error =        0.1101733E-02 iter. number =   600 denomin. =        0.4647828E+00

  global error =        0.8557944E-03 iter. number =   700 denomin. =        0.4985744E+00

  global error =        0.7441469E-03 iter. number =   800 denomin. =        0.5272483E+00

  global error =        0.5941454E-03 iter. number =   900 denomin. =        0.5490916E+00

  global error =        0.5218380E-03 iter. number =  1000 denomin. =        0.5669020E+00

  global error =        0.4311116E-03 iter. number =  1100 denomin. =        0.5802544E+00

  global error =        0.4013609E-03 iter. number =  1200 denomin. =        0.5901682E+00

  global error =        0.3652510E-03 iter. number =  1300 denomin. =        0.5969229E+00

  global error =        0.3231144E-03 iter. number =  1400 denomin. =        0.6012235E+00

  global error =        0.3101418E-03 iter. number =  1500 denomin. =        0.6034861E+00

  global error =        0.2882059E-03 iter. number =  1600 denomin. =        0.6043013E+00

  global error =        0.2730727E-03 iter. number =  1700 denomin. =        0.6042122E+00

  global error =        0.2672348E-03 iter. number =  1800 denomin. =        0.6034310E+00

  global error =        0.2578480E-03 iter. number =  1900 denomin. =        0.6022086E+00

  global error =        0.2435175E-03 iter. number =  2000 denomin. =        0.6005352E+00

  global error =        0.2397276E-03 iter. number =  2100 denomin. =        0.5988226E+00

  global error =        0.2352279E-03 iter. number =  2200 denomin. =        0.5970927E+00

  global error =        0.2241896E-03 iter. number =  2300 denomin. =        0.5954731E+00

  global error =        0.2214528E-03 iter. number =  2400 denomin. =        0.5939174E+00

  global error =        0.2181454E-03 iter. number =  2500 denomin. =        0.5924256E+00

  global error =        0.2093250E-03 iter. number =  2600 denomin. =        0.5911341E+00

  global error =        0.2064047E-03 iter. number =  2700 denomin. =        0.5900083E+00

  global error =        0.2037384E-03 iter. number =  2800 denomin. =        0.5890478E+00

  global error =        0.1959899E-03 iter. number =  2900 denomin. =        0.5881769E+00

  global error =        0.1921745E-03 iter. number =  3000 denomin. =        0.5874317E+00

  global error =        0.1894512E-03 iter. number =  3100 denomin. =        0.5868257E+00

  global error =        0.1829935E-03 iter. number =  3200 denomin. =        0.5863335E+00

  global error =        0.1793004E-03 iter. number =  3300 denomin. =        0.5859328E+00

  global error =        0.1768401E-03 iter. number =  3400 denomin. =        0.5855812E+00

  global error =        0.1713330E-03 iter. number =  3500 denomin. =        0.5853006E+00

  global error =        0.1675811E-03 iter. number =  3600 denomin. =        0.5850977E+00

  global error =        0.1650573E-03 iter. number =  3700 denomin. =        0.5849457E+00

  global error =        0.1602595E-03 iter. number =  3800 denomin. =        0.5848138E+00

  global error =        0.1566005E-03 iter. number =  3900 denomin. =        0.5847020E+00

  global error =        0.1539696E-03 iter. number =  4000 denomin. =        0.5846271E+00

  NO convergence  for freq. #   170 after   4001 inner iterations 
 relative error value reduction =       0.15396957E-03


  frequency number   169 frequency :       0.12637500E+01
 jw  real sour, imag sour =    169      0.75058E-01     -0.31607E-02

  global error =        0.5121735E-02 iter. number =   100 denomin. =        0.6038552E+00

  global error =        0.3911403E-02 iter. number =   200 denomin. =        0.5617806E+00

  global error =        0.3662263E-02 iter. number =   300 denomin. =        0.5038775E+00

  global error =        0.3415316E-02 iter. number =   400 denomin. =        0.4510371E+00

  global error =        0.3008712E-02 iter. number =   500 denomin. =        0.3915295E+00

  global error =        0.2262410E-02 iter. number =   600 denomin. =        0.3505600E+00

  global error =        0.2103801E-02 iter. number =   700 denomin. =        0.3410832E+00

  global error =        0.1669232E-02 iter. number =   800 denomin. =        0.3546518E+00

  global error =        0.1339181E-02 iter. number =   900 denomin. =        0.3753374E+00

  global error =        0.1073771E-02 iter. number =  1000 denomin. =        0.3912090E+00

  global error =        0.8908181E-03 iter. number =  1100 denomin. =        0.3885496E+00

  global error =        0.8081368E-03 iter. number =  1200 denomin. =        0.3726650E+00

  global error =        0.6291460E-03 iter. number =  1300 denomin. =        0.3587371E+00

  global error =        0.5470140E-03 iter. number =  1400 denomin. =        0.3517708E+00

  global error =        0.4605433E-03 iter. number =  1500 denomin. =        0.3512654E+00

  global error =        0.4081883E-03 iter. number =  1600 denomin. =        0.3568462E+00

  global error =        0.3428977E-03 iter. number =  1700 denomin. =        0.3636974E+00

  global error =        0.2800361E-03 iter. number =  1800 denomin. =        0.3668525E+00

  global error =        0.2556288E-03 iter. number =  1900 denomin. =        0.3661833E+00

  global error =        0.2252588E-03 iter. number =  2000 denomin. =        0.3636455E+00

  global error =        0.2091929E-03 iter. number =  2100 denomin. =        0.3606976E+00

  global error =        0.1863489E-03 iter. number =  2200 denomin. =        0.3590343E+00

  global error =        0.1702003E-03 iter. number =  2300 denomin. =        0.3594388E+00

  global error =        0.1586920E-03 iter. number =  2400 denomin. =        0.3608495E+00

  global error =        0.1485926E-03 iter. number =  2500 denomin. =        0.3621026E+00

  global error =        0.1408954E-03 iter. number =  2600 denomin. =        0.3627641E+00

  global error =        0.1326560E-03 iter. number =  2700 denomin. =        0.3626702E+00

  global error =        0.1269878E-03 iter. number =  2800 denomin. =        0.3620372E+00

  global error =        0.1208716E-03 iter. number =  2900 denomin. =        0.3614618E+00

  global error =        0.1157978E-03 iter. number =  3000 denomin. =        0.3612683E+00

  global error =        0.1110959E-03 iter. number =  3100 denomin. =        0.3613945E+00

  global error =        0.1068269E-03 iter. number =  3200 denomin. =        0.3616962E+00

  global error =        0.1029762E-03 iter. number =  3300 denomin. =        0.3619804E+00

  convergence  for freq. #   169 achieved in  3373 inner iterations 
 relative error value =       0.99974771E-04


  frequency number   168 frequency :       0.12562500E+01
 jw  real sour, imag sour =    168      0.78249E-01      0.32935E-02

  global error =        0.3546573E-02 iter. number =   100 denomin. =        0.3867835E+00

  global error =        0.2391868E-02 iter. number =   200 denomin. =        0.4110169E+00

  global error =        0.2024864E-02 iter. number =   300 denomin. =        0.4408990E+00

  global error =        0.1733310E-02 iter. number =   400 denomin. =        0.4784292E+00

  global error =        0.1507354E-02 iter. number =   500 denomin. =        0.5308439E+00

  global error =        0.1067850E-02 iter. number =   600 denomin. =        0.5776212E+00

  global error =        0.6099295E-03 iter. number =   700 denomin. =        0.6105372E+00

  global error =        0.5346505E-03 iter. number =   800 denomin. =        0.6363381E+00

  global error =        0.4824419E-03 iter. number =   900 denomin. =        0.6589939E+00

  global error =        0.4309558E-03 iter. number =  1000 denomin. =        0.6785617E+00

  global error =        0.3023518E-03 iter. number =  1100 denomin. =        0.6901289E+00

  global error =        0.2488582E-03 iter. number =  1200 denomin. =        0.6975526E+00

  global error =        0.2427645E-03 iter. number =  1300 denomin. =        0.7034386E+00

  global error =        0.2265104E-03 iter. number =  1400 denomin. =        0.7076332E+00

  global error =        0.2071747E-03 iter. number =  1500 denomin. =        0.7099488E+00

  global error =        0.1916804E-03 iter. number =  1600 denomin. =        0.7112482E+00

  global error =        0.1751024E-03 iter. number =  1700 denomin. =        0.7129104E+00

  global error =        0.1606817E-03 iter. number =  1800 denomin. =        0.7138606E+00

  global error =        0.1568734E-03 iter. number =  1900 denomin. =        0.7137960E+00

  global error =        0.1469594E-03 iter. number =  2000 denomin. =        0.7133347E+00

  global error =        0.1366897E-03 iter. number =  2100 denomin. =        0.7133997E+00

  global error =        0.1351863E-03 iter. number =  2200 denomin. =        0.7137058E+00

  global error =        0.1291915E-03 iter. number =  2300 denomin. =        0.7135846E+00

  global error =        0.1187609E-03 iter. number =  2400 denomin. =        0.7132278E+00

  global error =        0.1141028E-03 iter. number =  2500 denomin. =        0.7130464E+00

  global error =        0.1096405E-03 iter. number =  2600 denomin. =        0.7131224E+00

  global error =        0.1014049E-03 iter. number =  2700 denomin. =        0.7131074E+00

  convergence  for freq. #   168 achieved in  2721 inner iterations 
 relative error value =       0.99965150E-04


  frequency number   167 frequency :       0.12487500E+01
 jw  real sour, imag sour =    167      0.80972E-01      0.10275E-01

  global error =        0.5134987E-02 iter. number =   100 denomin. =        0.7102213E+00

  global error =        0.3910223E-02 iter. number =   200 denomin. =        0.6869241E+00

  global error =        0.3676877E-02 iter. number =   300 denomin. =        0.6653691E+00

  global error =        0.3441355E-02 iter. number =   400 denomin. =        0.6032670E+00

  global error =        0.2824141E-02 iter. number =   500 denomin. =        0.5061452E+00

  global error =        0.1677242E-02 iter. number =   600 denomin. =        0.4519791E+00

  global error =        0.1371466E-02 iter. number =   700 denomin. =        0.4320880E+00

  global error =        0.1315366E-02 iter. number =   800 denomin. =        0.4287793E+00

  global error =        0.1150686E-02 iter. number =   900 denomin. =        0.4491664E+00

  global error =        0.7528236E-03 iter. number =  1000 denomin. =        0.4746546E+00

  global error =        0.4709359E-03 iter. number =  1100 denomin. =        0.4845033E+00

  global error =        0.4231982E-03 iter. number =  1200 denomin. =        0.4825558E+00

  global error =        0.4078452E-03 iter. number =  1300 denomin. =        0.4715024E+00

  global error =        0.3546777E-03 iter. number =  1400 denomin. =        0.4578162E+00

  global error =        0.2522017E-03 iter. number =  1500 denomin. =        0.4503368E+00

  global error =        0.1960573E-03 iter. number =  1600 denomin. =        0.4482951E+00

  global error =        0.1750550E-03 iter. number =  1700 denomin. =        0.4500255E+00

  global error =        0.1637633E-03 iter. number =  1800 denomin. =        0.4536519E+00

  global error =        0.1465058E-03 iter. number =  1900 denomin. =        0.4562711E+00

  global error =        0.1286322E-03 iter. number =  2000 denomin. =        0.4575991E+00

  global error =        0.1132732E-03 iter. number =  2100 denomin. =        0.4580115E+00

  global error =        0.1010899E-03 iter. number =  2200 denomin. =        0.4575642E+00

  convergence  for freq. #   167 achieved in  2212 inner iterations 
 relative error value =       0.99945514E-04


  frequency number   166 frequency :       0.12412500E+01
 jw  real sour, imag sour =    166      0.83162E-01      0.17757E-01

  global error =        0.3958037E-02 iter. number =   100 denomin. =        0.4772225E+00

  global error =        0.2983587E-02 iter. number =   200 denomin. =        0.4933005E+00

  global error =        0.2687015E-02 iter. number =   300 denomin. =        0.5204300E+00

  global error =        0.2053707E-02 iter. number =   400 denomin. =        0.5603932E+00

  global error =        0.1865662E-02 iter. number =   500 denomin. =        0.6182810E+00

  global error =        0.1353806E-02 iter. number =   600 denomin. =        0.6670226E+00

  global error =        0.9764496E-03 iter. number =   700 denomin. =        0.6962037E+00

  global error =        0.8132627E-03 iter. number =   800 denomin. =        0.7111262E+00

  global error =        0.6289331E-03 iter. number =   900 denomin. =        0.7168849E+00

  global error =        0.5699830E-03 iter. number =  1000 denomin. =        0.7185145E+00

  global error =        0.4158328E-03 iter. number =  1100 denomin. =        0.7109501E+00

  global error =        0.3651506E-03 iter. number =  1200 denomin. =        0.6976833E+00

  global error =        0.2865930E-03 iter. number =  1300 denomin. =        0.6810541E+00

  global error =        0.2359594E-03 iter. number =  1400 denomin. =        0.6667587E+00

  global error =        0.2028637E-03 iter. number =  1500 denomin. =        0.6530212E+00

  global error =        0.1611259E-03 iter. number =  1600 denomin. =        0.6406569E+00

  global error =        0.1440042E-03 iter. number =  1700 denomin. =        0.6295899E+00

  global error =        0.1118056E-03 iter. number =  1800 denomin. =        0.6207345E+00

  convergence  for freq. #   166 achieved in  1878 inner iterations 
 relative error value =       0.99934440E-04


  frequency number   165 frequency :       0.12337500E+01
 jw  real sour, imag sour =    165      0.84753E-01      0.25709E-01

  global error =        0.4685782E-02 iter. number =   100 denomin. =        0.6342314E+00

  global error =        0.3259221E-02 iter. number =   200 denomin. =        0.5952905E+00

  global error =        0.2871447E-02 iter. number =   300 denomin. =        0.5384292E+00

  global error =        0.2473196E-02 iter. number =   400 denomin. =        0.4955138E+00

  global error =        0.1856463E-02 iter. number =   500 denomin. =        0.4504480E+00

  global error =        0.1317926E-02 iter. number =   600 denomin. =        0.4416206E+00

  global error =        0.1197083E-02 iter. number =   700 denomin. =        0.4679581E+00

  global error =        0.8974203E-03 iter. number =   800 denomin. =        0.4971091E+00

  global error =        0.7177423E-03 iter. number =   900 denomin. =        0.5112929E+00

  global error =        0.5379467E-03 iter. number =  1000 denomin. =        0.5058794E+00

  global error =        0.4654509E-03 iter. number =  1100 denomin. =        0.4894373E+00

  global error =        0.3821414E-03 iter. number =  1200 denomin. =        0.4759692E+00

  global error =        0.2807124E-03 iter. number =  1300 denomin. =        0.4724064E+00

  global error =        0.2364321E-03 iter. number =  1400 denomin. =        0.4760590E+00

  global error =        0.1924287E-03 iter. number =  1500 denomin. =        0.4812450E+00

  global error =        0.1705783E-03 iter. number =  1600 denomin. =        0.4823869E+00

  global error =        0.1235439E-03 iter. number =  1700 denomin. =        0.4806376E+00

  convergence  for freq. #   165 achieved in  1777 inner iterations 
 relative error value =       0.99899908E-04


  frequency number   164 frequency :       0.12262500E+01
 jw  real sour, imag sour =    164      0.85681E-01      0.34090E-01

  global error =        0.3850924E-02 iter. number =   100 denomin. =        0.5028298E+00

  global error =        0.2698385E-02 iter. number =   200 denomin. =        0.5330253E+00

  global error =        0.2334125E-02 iter. number =   300 denomin. =        0.5818723E+00

  global error =        0.2070093E-02 iter. number =   400 denomin. =        0.6387860E+00

  global error =        0.1792526E-02 iter. number =   500 denomin. =        0.7111891E+00

  global error =        0.1113303E-02 iter. number =   600 denomin. =        0.7615302E+00

  global error =        0.6230824E-03 iter. number =   700 denomin. =        0.7930418E+00

  global error =        0.5995251E-03 iter. number =   800 denomin. =        0.8144563E+00

  global error =        0.5491427E-03 iter. number =   900 denomin. =        0.8215092E+00

  global error =        0.4584460E-03 iter. number =  1000 denomin. =        0.8197306E+00

  global error =        0.2783191E-03 iter. number =  1100 denomin. =        0.8135858E+00

  global error =        0.2289375E-03 iter. number =  1200 denomin. =        0.8126032E+00

  global error =        0.1956916E-03 iter. number =  1300 denomin. =        0.8056461E+00

  global error =        0.1629345E-03 iter. number =  1400 denomin. =        0.7934128E+00

  global error =        0.1276828E-03 iter. number =  1500 denomin. =        0.7820599E+00

  global error =        0.1010392E-03 iter. number =  1600 denomin. =        0.7749767E+00

  convergence  for freq. #   164 achieved in  1612 inner iterations 
 relative error value =       0.99960546E-04


  frequency number   163 frequency :       0.12187500E+01
 jw  real sour, imag sour =    163      0.85883E-01      0.42853E-01

  global error =        0.4890794E-02 iter. number =   100 denomin. =        0.7645420E+00

  global error =        0.3512382E-02 iter. number =   200 denomin. =        0.7119591E+00

  global error =        0.3314698E-02 iter. number =   300 denomin. =        0.6674107E+00

  global error =        0.2891095E-02 iter. number =   400 denomin. =        0.6026545E+00

  global error =        0.2025890E-02 iter. number =   500 denomin. =        0.5329686E+00

  global error =        0.1200910E-02 iter. number =   600 denomin. =        0.5293820E+00

  global error =        0.1177247E-02 iter. number =   700 denomin. =        0.5516693E+00

  global error =        0.1053002E-02 iter. number =   800 denomin. =        0.5902612E+00

  global error =        0.7560822E-03 iter. number =   900 denomin. =        0.6286398E+00

  global error =        0.4596777E-03 iter. number =  1000 denomin. =        0.6449394E+00

  global error =        0.3389658E-03 iter. number =  1100 denomin. =        0.6482984E+00

  global error =        0.3184428E-03 iter. number =  1200 denomin. =        0.6381549E+00

  global error =        0.2681139E-03 iter. number =  1300 denomin. =        0.6282514E+00

  global error =        0.2011412E-03 iter. number =  1400 denomin. =        0.6264155E+00

  global error =        0.1616718E-03 iter. number =  1500 denomin. =        0.6255815E+00

  global error =        0.1160563E-03 iter. number =  1600 denomin. =        0.6252207E+00

  convergence  for freq. #   163 achieved in  1653 inner iterations 
 relative error value =       0.99815262E-04


  frequency number   162 frequency :       0.12112500E+01
 jw  real sour, imag sour =    162      0.85299E-01      0.51942E-01

  global error =        0.4564236E-02 iter. number =   100 denomin. =        0.6480338E+00

  global error =        0.3439274E-02 iter. number =   200 denomin. =        0.6883195E+00

  global error =        0.3098401E-02 iter. number =   300 denomin. =        0.7321922E+00

  global error =        0.2559137E-02 iter. number =   400 denomin. =        0.7848216E+00

  global error =        0.2389435E-02 iter. number =   500 denomin. =        0.8522429E+00

  global error =        0.1683271E-02 iter. number =   600 denomin. =        0.8907885E+00

  global error =        0.1303009E-02 iter. number =   700 denomin. =        0.8803675E+00

  global error =        0.1115813E-02 iter. number =   800 denomin. =        0.8373679E+00

  global error =        0.9657354E-03 iter. number =   900 denomin. =        0.7854544E+00

  global error =        0.8921178E-03 iter. number =  1000 denomin. =        0.7323642E+00

  global error =        0.6767021E-03 iter. number =  1100 denomin. =        0.6799493E+00

  global error =        0.6271717E-03 iter. number =  1200 denomin. =        0.6350405E+00

  global error =        0.4997642E-03 iter. number =  1300 denomin. =        0.6003920E+00

  global error =        0.4359243E-03 iter. number =  1400 denomin. =        0.5803135E+00

  global error =        0.3628070E-03 iter. number =  1500 denomin. =        0.5704518E+00

  global error =        0.2938897E-03 iter. number =  1600 denomin. =        0.5701355E+00

  global error =        0.2579219E-03 iter. number =  1700 denomin. =        0.5758874E+00

  global error =        0.1974053E-03 iter. number =  1800 denomin. =        0.5845478E+00

  global error =        0.1712123E-03 iter. number =  1900 denomin. =        0.5935004E+00

  global error =        0.1361901E-03 iter. number =  2000 denomin. =        0.6016045E+00

  global error =        0.1187758E-03 iter. number =  2100 denomin. =        0.6076911E+00

  convergence  for freq. #   162 achieved in  2199 inner iterations 
 relative error value =       0.99845704E-04


  frequency number   161 frequency :       0.12037500E+01
 jw  real sour, imag sour =    161      0.83871E-01      0.61295E-01

  global error =        0.4292168E-02 iter. number =   100 denomin. =        0.6381932E+00

  global error =        0.2823082E-02 iter. number =   200 denomin. =        0.6336358E+00

  global error =        0.2345009E-02 iter. number =   300 denomin. =        0.6300012E+00

  global error =        0.1754242E-02 iter. number =   400 denomin. =        0.6360841E+00

  global error =        0.1039355E-02 iter. number =   500 denomin. =        0.6471033E+00

  global error =        0.9361083E-03 iter. number =   600 denomin. =        0.6825391E+00

  global error =        0.8676556E-03 iter. number =   700 denomin. =        0.7323117E+00

  global error =        0.6370848E-03 iter. number =   800 denomin. =        0.7728827E+00

  global error =        0.4631525E-03 iter. number =   900 denomin. =        0.7892134E+00

  global error =        0.3383644E-03 iter. number =  1000 denomin. =        0.7820748E+00

  global error =        0.3275567E-03 iter. number =  1100 denomin. =        0.7771619E+00

  global error =        0.2745022E-03 iter. number =  1200 denomin. =        0.7792133E+00

  global error =        0.2044901E-03 iter. number =  1300 denomin. =        0.7851042E+00

  global error =        0.1652346E-03 iter. number =  1400 denomin. =        0.7880899E+00

  global error =        0.1343525E-03 iter. number =  1500 denomin. =        0.7850710E+00

  global error =        0.1265958E-03 iter. number =  1600 denomin. =        0.7792914E+00

  convergence  for freq. #   161 achieved in  1698 inner iterations 
 relative error value =       0.99920409E-04


  frequency number   160 frequency :       0.11962500E+01
 jw  real sour, imag sour =    160      0.81546E-01      0.70842E-01

  global error =        0.4452248E-02 iter. number =   100 denomin. =        0.8145836E+00

  global error =        0.3294297E-02 iter. number =   200 denomin. =        0.8439638E+00

  global error =        0.2923711E-02 iter. number =   300 denomin. =        0.8859499E+00

  global error =        0.2636260E-02 iter. number =   400 denomin. =        0.9253556E+00

  global error =        0.2251233E-02 iter. number =   500 denomin. =        0.9643559E+00

  global error =        0.1357414E-02 iter. number =   600 denomin. =        0.9560939E+00

  global error =        0.6916202E-03 iter. number =   700 denomin. =        0.9150118E+00

  global error =        0.6880696E-03 iter. number =   800 denomin. =        0.8670911E+00

  global error =        0.7060608E-03 iter. number =   900 denomin. =        0.8112175E+00

  global error =        0.5710497E-03 iter. number =  1000 denomin. =        0.7620285E+00

  global error =        0.2809664E-03 iter. number =  1100 denomin. =        0.7375218E+00

  global error =        0.1817701E-03 iter. number =  1200 denomin. =        0.7336469E+00

  global error =        0.2008280E-03 iter. number =  1300 denomin. =        0.7310462E+00

  global error =        0.2057611E-03 iter. number =  1400 denomin. =        0.7297959E+00

  global error =        0.1392097E-03 iter. number =  1500 denomin. =        0.7327075E+00

  convergence  for freq. #   160 achieved in  1551 inner iterations 
 relative error value =       0.99468444E-04


  frequency number   159 frequency :       0.11887500E+01
 jw  real sour, imag sour =    159      0.78279E-01      0.80505E-01

  global error =        0.4193755E-02 iter. number =   100 denomin. =        0.7451145E+00

  global error =        0.2818280E-02 iter. number =   200 denomin. =        0.7389497E+00

  global error =        0.2531012E-02 iter. number =   300 denomin. =        0.7322077E+00

  global error =        0.1826135E-02 iter. number =   400 denomin. =        0.7248428E+00

  global error =        0.1042286E-02 iter. number =   500 denomin. =        0.7327760E+00

  global error =        0.7615660E-03 iter. number =   600 denomin. =        0.7743765E+00

  global error =        0.6523468E-03 iter. number =   700 denomin. =        0.8233609E+00

  global error =        0.5878513E-03 iter. number =   800 denomin. =        0.8739173E+00

  global error =        0.3956458E-03 iter. number =   900 denomin. =        0.9074004E+00

  global error =        0.2668234E-03 iter. number =  1000 denomin. =        0.9262875E+00

  global error =        0.2202654E-03 iter. number =  1100 denomin. =        0.9446363E+00

  global error =        0.2085599E-03 iter. number =  1200 denomin. =        0.9581330E+00

  global error =        0.1752259E-03 iter. number =  1300 denomin. =        0.9710610E+00

  global error =        0.1196849E-03 iter. number =  1400 denomin. =        0.9787586E+00

  global error =        0.1034108E-03 iter. number =  1500 denomin. =        0.9814225E+00

  convergence  for freq. #   159 achieved in  1532 inner iterations 
 relative error value =       0.99924124E-04


  frequency number   158 frequency :       0.11812500E+01
 jw  real sour, imag sour =    158      0.74025E-01      0.90200E-01

  global error =        0.5015848E-02 iter. number =   100 denomin. =        0.1010687E+01

  global error =        0.3875826E-02 iter. number =   200 denomin. =        0.1032733E+01

  global error =        0.3510780E-02 iter. number =   300 denomin. =        0.1057397E+01

  global error =        0.3093893E-02 iter. number =   400 denomin. =        0.1076619E+01

  global error =        0.2795485E-02 iter. number =   500 denomin. =        0.1088524E+01

  global error =        0.1851083E-02 iter. number =   600 denomin. =        0.1042220E+01

  global error =        0.1308059E-02 iter. number =   700 denomin. =        0.9353844E+00

  global error =        0.1195702E-02 iter. number =   800 denomin. =        0.8183346E+00

  global error =        0.1118421E-02 iter. number =   900 denomin. =        0.7287825E+00

  global error =        0.9749593E-03 iter. number =  1000 denomin. =        0.6688203E+00

  global error =        0.6126111E-03 iter. number =  1100 denomin. =        0.6463633E+00

  global error =        0.4663106E-03 iter. number =  1200 denomin. =        0.6532381E+00

  global error =        0.3867505E-03 iter. number =  1300 denomin. =        0.6698330E+00

  global error =        0.3431703E-03 iter. number =  1400 denomin. =        0.6876196E+00

  global error =        0.2632104E-03 iter. number =  1500 denomin. =        0.7030049E+00

  global error =        0.1713723E-03 iter. number =  1600 denomin. =        0.7111015E+00

  global error =        0.1419380E-03 iter. number =  1700 denomin. =        0.7124737E+00

  global error =        0.1228375E-03 iter. number =  1800 denomin. =        0.7104907E+00

  global error =        0.1117106E-03 iter. number =  1900 denomin. =        0.7069764E+00

  convergence  for freq. #   158 achieved in  1956 inner iterations 
 relative error value =       0.99778675E-04


  frequency number   157 frequency :       0.11737500E+01
 jw  real sour, imag sour =    157      0.68752E-01      0.99835E-01

  global error =        0.3864985E-02 iter. number =   100 denomin. =        0.7325896E+00

  global error =        0.2462225E-02 iter. number =   200 denomin. =        0.7334591E+00

  global error =        0.2004361E-02 iter. number =   300 denomin. =        0.7581447E+00

  global error =        0.1383076E-02 iter. number =   400 denomin. =        0.8044594E+00

  global error =        0.9699064E-03 iter. number =   500 denomin. =        0.8732918E+00

  global error =        0.7833749E-03 iter. number =   600 denomin. =        0.9526983E+00

  global error =        0.4985654E-03 iter. number =   700 denomin. =        0.1016570E+01

  global error =        0.4135747E-03 iter. number =   800 denomin. =        0.1071338E+01

  global error =        0.2885385E-03 iter. number =   900 denomin. =        0.1112219E+01

  global error =        0.2350492E-03 iter. number =  1000 denomin. =        0.1144773E+01

  global error =        0.1824599E-03 iter. number =  1100 denomin. =        0.1175074E+01

  global error =        0.1367557E-03 iter. number =  1200 denomin. =        0.1196863E+01

  global error =        0.1176009E-03 iter. number =  1300 denomin. =        0.1214169E+01

  convergence  for freq. #   157 achieved in  1359 inner iterations 
 relative error value =       0.99974737E-04


  frequency number   156 frequency :       0.11662500E+01
 jw  real sour, imag sour =    156      0.62432E-01      0.10931E+00

  global error =        0.4996470E-02 iter. number =   100 denomin. =        0.1260413E+01

  global error =        0.3672741E-02 iter. number =   200 denomin. =        0.1266349E+01

  global error =        0.3356682E-02 iter. number =   300 denomin. =        0.1242597E+01

  global error =        0.3121845E-02 iter. number =   400 denomin. =        0.1184023E+01

  global error =        0.2661445E-02 iter. number =   500 denomin. =        0.1075604E+01

  global error =        0.1678028E-02 iter. number =   600 denomin. =        0.9480561E+00

  global error =        0.1125573E-02 iter. number =   700 denomin. =        0.8515315E+00

  global error =        0.1122567E-02 iter. number =   800 denomin. =        0.7794716E+00

  global error =        0.1049548E-02 iter. number =   900 denomin. =        0.7349418E+00

  global error =        0.7930455E-03 iter. number =  1000 denomin. =        0.7301689E+00

  global error =        0.4573698E-03 iter. number =  1100 denomin. =        0.7479746E+00

  global error =        0.3429360E-03 iter. number =  1200 denomin. =        0.7656044E+00

  global error =        0.3197624E-03 iter. number =  1300 denomin. =        0.7805754E+00

  global error =        0.2743926E-03 iter. number =  1400 denomin. =        0.7886845E+00

  global error =        0.2018288E-03 iter. number =  1500 denomin. =        0.7880488E+00

  global error =        0.1406491E-03 iter. number =  1600 denomin. =        0.7838904E+00

  global error =        0.1242622E-03 iter. number =  1700 denomin. =        0.7794204E+00

  global error =        0.1150539E-03 iter. number =  1800 denomin. =        0.7749385E+00

  global error =        0.1022517E-03 iter. number =  1900 denomin. =        0.7725018E+00

  convergence  for freq. #   156 achieved in  1917 inner iterations 
 relative error value =       0.99910038E-04


  frequency number   155 frequency :       0.11587500E+01
 jw  real sour, imag sour =    155      0.55047E-01      0.11853E+00

  global error =        0.3739168E-02 iter. number =   100 denomin. =        0.7924423E+00

  global error =        0.2518692E-02 iter. number =   200 denomin. =        0.8167507E+00

  global error =        0.2168450E-02 iter. number =   300 denomin. =        0.8645962E+00

  global error =        0.1568009E-02 iter. number =   400 denomin. =        0.9230572E+00

  global error =        0.1262222E-02 iter. number =   500 denomin. =        0.1000861E+01

  global error =        0.9474069E-03 iter. number =   600 denomin. =        0.1074144E+01

  global error =        0.6636244E-03 iter. number =   700 denomin. =        0.1137366E+01

  global error =        0.5450141E-03 iter. number =   800 denomin. =        0.1185924E+01

  global error =        0.3792582E-03 iter. number =   900 denomin. =        0.1218569E+01

  global error =        0.3133451E-03 iter. number =  1000 denomin. =        0.1244294E+01

  global error =        0.2338400E-03 iter. number =  1100 denomin. =        0.1262102E+01

  global error =        0.1907413E-03 iter. number =  1200 denomin. =        0.1275269E+01

  global error =        0.1573161E-03 iter. number =  1300 denomin. =        0.1282628E+01

  global error =        0.1232771E-03 iter. number =  1400 denomin. =        0.1286426E+01

  global error =        0.1076033E-03 iter. number =  1500 denomin. =        0.1288398E+01

  convergence  for freq. #   155 achieved in  1539 inner iterations 
 relative error value =       0.99879670E-04


  frequency number   154 frequency :       0.11512500E+01
 jw  real sour, imag sour =    154      0.46587E-01      0.12738E+00

  global error =        0.5045678E-02 iter. number =   100 denomin. =        0.1308787E+01

  global error =        0.3709517E-02 iter. number =   200 denomin. =        0.1242157E+01

  global error =        0.3321362E-02 iter. number =   300 denomin. =        0.1160073E+01

  global error =        0.2909766E-02 iter. number =   400 denomin. =        0.1068641E+01

  global error =        0.2304169E-02 iter. number =   500 denomin. =        0.9736831E+00

  global error =        0.1557338E-02 iter. number =   600 denomin. =        0.9068631E+00

  global error =        0.1225847E-02 iter. number =   700 denomin. =        0.8917173E+00

  global error =        0.1011853E-02 iter. number =   800 denomin. =        0.9122973E+00

  global error =        0.8184253E-03 iter. number =   900 denomin. =        0.9484419E+00

  global error =        0.6121635E-03 iter. number =  1000 denomin. =        0.9775678E+00

  global error =        0.4412152E-03 iter. number =  1100 denomin. =        0.9828820E+00

  global error =        0.3624122E-03 iter. number =  1200 denomin. =        0.9680844E+00

  global error =        0.2983443E-03 iter. number =  1300 denomin. =        0.9495728E+00

  global error =        0.2461608E-03 iter. number =  1400 denomin. =        0.9376245E+00

  global error =        0.1943656E-03 iter. number =  1500 denomin. =        0.9343269E+00

  global error =        0.1564705E-03 iter. number =  1600 denomin. =        0.9381220E+00

  global error =        0.1339061E-03 iter. number =  1700 denomin. =        0.9440959E+00

  global error =        0.1167389E-03 iter. number =  1800 denomin. =        0.9480205E+00

  global error =        0.1040868E-03 iter. number =  1900 denomin. =        0.9487282E+00

  convergence  for freq. #   154 achieved in  1934 inner iterations 
 relative error value =       0.99947023E-04


  frequency number   153 frequency :       0.11437500E+01
 jw  real sour, imag sour =    153      0.37055E-01      0.13575E+00

  global error =        0.3912536E-02 iter. number =   100 denomin. =        0.9967754E+00

  global error =        0.2714495E-02 iter. number =   200 denomin. =        0.1039741E+01

  global error =        0.2339230E-02 iter. number =   300 denomin. =        0.1099804E+01

  global error =        0.1857478E-02 iter. number =   400 denomin. =        0.1173352E+01

  global error =        0.1530189E-02 iter. number =   500 denomin. =        0.1245551E+01

  global error =        0.1048002E-02 iter. number =   600 denomin. =        0.1289938E+01

  global error =        0.5592777E-03 iter. number =   700 denomin. =        0.1292848E+01

  global error =        0.4566838E-03 iter. number =   800 denomin. =        0.1280531E+01

  global error =        0.3935152E-03 iter. number =   900 denomin. =        0.1264747E+01

  global error =        0.3304589E-03 iter. number =  1000 denomin. =        0.1248749E+01

  global error =        0.2472723E-03 iter. number =  1100 denomin. =        0.1232683E+01

  global error =        0.1844333E-03 iter. number =  1200 denomin. =        0.1218685E+01

  global error =        0.1653322E-03 iter. number =  1300 denomin. =        0.1208333E+01

  global error =        0.1621064E-03 iter. number =  1400 denomin. =        0.1200367E+01

  global error =        0.1500297E-03 iter. number =  1500 denomin. =        0.1194286E+01

  global error =        0.1302570E-03 iter. number =  1600 denomin. =        0.1190423E+01

  global error =        0.1184519E-03 iter. number =  1700 denomin. =        0.1188844E+01

  global error =        0.1085102E-03 iter. number =  1800 denomin. =        0.1188140E+01

  global error =        0.1020167E-03 iter. number =  1900 denomin. =        0.1187572E+01

  convergence  for freq. #   153 achieved in  1950 inner iterations 
 relative error value =       0.99966451E-04


  frequency number   152 frequency :       0.11362500E+01
 jw  real sour, imag sour =    152      0.26462E-01      0.14353E+00

  global error =        0.4217747E-02 iter. number =   100 denomin. =        0.1200613E+01

  global error =        0.2915649E-02 iter. number =   200 denomin. =        0.1164954E+01

  global error =        0.2467871E-02 iter. number =   300 denomin. =        0.1121419E+01

  global error =        0.1855446E-02 iter. number =   400 denomin. =        0.1069665E+01

  global error =        0.1119560E-02 iter. number =   500 denomin. =        0.1037903E+01

  global error =        0.6058818E-03 iter. number =   600 denomin. =        0.1050107E+01

  global error =        0.4866215E-03 iter. number =   700 denomin. =        0.1084287E+01

  global error =        0.4223590E-03 iter. number =   800 denomin. =        0.1119848E+01

  global error =        0.3241627E-03 iter. number =   900 denomin. =        0.1143606E+01

  global error =        0.2115000E-03 iter. number =  1000 denomin. =        0.1150458E+01

  global error =        0.1440251E-03 iter. number =  1100 denomin. =        0.1148881E+01

  global error =        0.1270745E-03 iter. number =  1200 denomin. =        0.1147495E+01

  global error =        0.1157533E-03 iter. number =  1300 denomin. =        0.1148198E+01

  convergence  for freq. #   152 achieved in  1396 inner iterations 
 relative error value =       0.99908362E-04


  frequency number   151 frequency :       0.11287500E+01
 jw  real sour, imag sour =    151      0.14831E-01      0.15059E+00

  global error =        0.3942775E-02 iter. number =   100 denomin. =        0.1198244E+01

  global error =        0.3065712E-02 iter. number =   200 denomin. =        0.1220960E+01

  global error =        0.2597485E-02 iter. number =   300 denomin. =        0.1249083E+01

  global error =        0.2038939E-02 iter. number =   400 denomin. =        0.1268563E+01

  global error =        0.1579891E-02 iter. number =   500 denomin. =        0.1265867E+01

  global error =        0.1011922E-02 iter. number =   600 denomin. =        0.1230003E+01

  global error =        0.5339198E-03 iter. number =   700 denomin. =        0.1172266E+01

  global error =        0.4455542E-03 iter. number =   800 denomin. =        0.1114936E+01

  global error =        0.3667402E-03 iter. number =   900 denomin. =        0.1076282E+01

  global error =        0.2962056E-03 iter. number =  1000 denomin. =        0.1055067E+01

  global error =        0.2024314E-03 iter. number =  1100 denomin. =        0.1049425E+01

  global error =        0.1329836E-03 iter. number =  1200 denomin. =        0.1052800E+01

  global error =        0.1202042E-03 iter. number =  1300 denomin. =        0.1059424E+01

  global error =        0.1118731E-03 iter. number =  1400 denomin. =        0.1064752E+01

  global error =        0.1037684E-03 iter. number =  1500 denomin. =        0.1068322E+01

  convergence  for freq. #   151 achieved in  1526 inner iterations 
 relative error value =       0.99862471E-04


  frequency number   150 frequency :       0.11212500E+01
 jw  real sour, imag sour =    150      0.21990E-02      0.15682E+00

  global error =        0.3464528E-02 iter. number =   100 denomin. =        0.1118977E+01

  global error =        0.2358165E-02 iter. number =   200 denomin. =        0.1125437E+01

  global error =        0.1844879E-02 iter. number =   300 denomin. =        0.1153923E+01

  global error =        0.1228309E-02 iter. number =   400 denomin. =        0.1202539E+01

  global error =        0.8708680E-03 iter. number =   500 denomin. =        0.1267972E+01

  global error =        0.6215451E-03 iter. number =   600 denomin. =        0.1331222E+01

  global error =        0.4097595E-03 iter. number =   700 denomin. =        0.1381449E+01

  global error =        0.3345446E-03 iter. number =   800 denomin. =        0.1419233E+01

  global error =        0.2570218E-03 iter. number =   900 denomin. =        0.1445897E+01

  global error =        0.2075885E-03 iter. number =  1000 denomin. =        0.1466594E+01

  global error =        0.1764310E-03 iter. number =  1100 denomin. =        0.1482929E+01

  global error =        0.1499509E-03 iter. number =  1200 denomin. =        0.1494604E+01

  global error =        0.1328962E-03 iter. number =  1300 denomin. =        0.1502583E+01

  global error =        0.1202357E-03 iter. number =  1400 denomin. =        0.1508131E+01

  global error =        0.1065964E-03 iter. number =  1500 denomin. =        0.1512376E+01

  convergence  for freq. #   150 achieved in  1548 inner iterations 
 relative error value =       0.99928624E-04


  frequency number   149 frequency :       0.11137500E+01
 jw  real sour, imag sour =    149     -0.11387E-01      0.16210E+00

  global error =        0.4272377E-02 iter. number =   100 denomin. =        0.1572189E+01

  global error =        0.3269278E-02 iter. number =   200 denomin. =        0.1550898E+01

  global error =        0.2853390E-02 iter. number =   300 denomin. =        0.1486507E+01

  global error =        0.2322971E-02 iter. number =   400 denomin. =        0.1401319E+01

  global error =        0.1667640E-02 iter. number =   500 denomin. =        0.1307554E+01

  global error =        0.1083428E-02 iter. number =   600 denomin. =        0.1243152E+01

  global error =        0.6905490E-03 iter. number =   700 denomin. =        0.1221686E+01

  global error =        0.5916535E-03 iter. number =   800 denomin. =        0.1230403E+01

  global error =        0.4690552E-03 iter. number =   900 denomin. =        0.1252437E+01

  global error =        0.3312618E-03 iter. number =  1000 denomin. =        0.1275207E+01

  global error =        0.2260864E-03 iter. number =  1100 denomin. =        0.1284242E+01

  global error =        0.1611011E-03 iter. number =  1200 denomin. =        0.1279745E+01

  global error =        0.1475196E-03 iter. number =  1300 denomin. =        0.1269862E+01

  global error =        0.1289400E-03 iter. number =  1400 denomin. =        0.1260672E+01

  global error =        0.1106653E-03 iter. number =  1500 denomin. =        0.1254531E+01

  convergence  for freq. #   149 achieved in  1575 inner iterations 
 relative error value =       0.99937133E-04


  frequency number   148 frequency :       0.11062500E+01
 jw  real sour, imag sour =    148     -0.25865E-01      0.16632E+00

  global error =        0.3649938E-02 iter. number =   100 denomin. =        0.1323850E+01

  global error =        0.2667026E-02 iter. number =   200 denomin. =        0.1390277E+01

  global error =        0.2238049E-02 iter. number =   300 denomin. =        0.1479464E+01

  global error =        0.1751655E-02 iter. number =   400 denomin. =        0.1580542E+01

  global error =        0.1408056E-02 iter. number =   500 denomin. =        0.1677887E+01

  global error =        0.9982122E-03 iter. number =   600 denomin. =        0.1739506E+01

  global error =        0.5844403E-03 iter. number =   700 denomin. =        0.1756856E+01

  global error =        0.4825899E-03 iter. number =   800 denomin. =        0.1737412E+01

  global error =        0.3924259E-03 iter. number =   900 denomin. =        0.1707881E+01

  global error =        0.3282978E-03 iter. number =  1000 denomin. =        0.1676355E+01

  global error =        0.2451450E-03 iter. number =  1100 denomin. =        0.1649037E+01

  global error =        0.1675157E-03 iter. number =  1200 denomin. =        0.1624814E+01

  global error =        0.1445872E-03 iter. number =  1300 denomin. =        0.1602112E+01

  global error =        0.1240950E-03 iter. number =  1400 denomin. =        0.1583526E+01

  global error =        0.1077517E-03 iter. number =  1500 denomin. =        0.1569697E+01

  convergence  for freq. #   148 achieved in  1544 inner iterations 
 relative error value =       0.99990317E-04


  frequency number   147 frequency :       0.10987500E+01
 jw  real sour, imag sour =    147     -0.41162E-01      0.16935E+00

  global error =        0.4159952E-02 iter. number =   100 denomin. =        0.1617478E+01

  global error =        0.2831516E-02 iter. number =   200 denomin. =        0.1575286E+01

  global error =        0.2384926E-02 iter. number =   300 denomin. =        0.1534735E+01

  global error =        0.1741703E-02 iter. number =   400 denomin. =        0.1508001E+01

  global error =        0.1097963E-02 iter. number =   500 denomin. =        0.1516405E+01

  global error =        0.8049576E-03 iter. number =   600 denomin. =        0.1585572E+01

  global error =        0.6720498E-03 iter. number =   700 denomin. =        0.1685994E+01

  global error =        0.5443192E-03 iter. number =   800 denomin. =        0.1772907E+01

  global error =        0.3916268E-03 iter. number =   900 denomin. =        0.1829266E+01

  global error =        0.2555110E-03 iter. number =  1000 denomin. =        0.1853640E+01

  global error =        0.1974382E-03 iter. number =  1100 denomin. =        0.1861982E+01

  global error =        0.1718229E-03 iter. number =  1200 denomin. =        0.1865795E+01

  global error =        0.1453382E-03 iter. number =  1300 denomin. =        0.1871532E+01

  global error =        0.1158556E-03 iter. number =  1400 denomin. =        0.1877654E+01

  convergence  for freq. #   147 achieved in  1457 inner iterations 
 relative error value =       0.99884494E-04


  frequency number   146 frequency :       0.10912500E+01
 jw  real sour, imag sour =    146     -0.57190E-01      0.17110E+00

  global error =        0.4540612E-02 iter. number =   100 denomin. =        0.1995387E+01

  global error =        0.3470922E-02 iter. number =   200 denomin. =        0.2079022E+01

  global error =        0.3110920E-02 iter. number =   300 denomin. =        0.2164644E+01

  global error =        0.2722494E-02 iter. number =   400 denomin. =        0.2253323E+01

  global error =        0.2274720E-02 iter. number =   500 denomin. =        0.2314923E+01

  global error =        0.1594055E-02 iter. number =   600 denomin. =        0.2279168E+01

  global error =        0.1045079E-02 iter. number =   700 denomin. =        0.2118203E+01

  global error =        0.9582340E-03 iter. number =   800 denomin. =        0.1924468E+01

  global error =        0.8416837E-03 iter. number =   900 denomin. =        0.1765096E+01

  global error =        0.6892511E-03 iter. number =  1000 denomin. =        0.1655190E+01

  global error =        0.4774977E-03 iter. number =  1100 denomin. =        0.1597936E+01

  global error =        0.3619503E-03 iter. number =  1200 denomin. =        0.1588345E+01

  global error =        0.3143684E-03 iter. number =  1300 denomin. =        0.1597710E+01

  global error =        0.2511733E-03 iter. number =  1400 denomin. =        0.1613384E+01

  global error =        0.1969030E-03 iter. number =  1500 denomin. =        0.1632078E+01

  global error =        0.1471658E-03 iter. number =  1600 denomin. =        0.1647907E+01

  global error =        0.1308196E-03 iter. number =  1700 denomin. =        0.1658958E+01

  global error =        0.1156913E-03 iter. number =  1800 denomin. =        0.1665490E+01

  convergence  for freq. #   146 achieved in  1880 inner iterations 
 relative error value =       0.99846254E-04


  frequency number   145 frequency :       0.10837500E+01
 jw  real sour, imag sour =    145     -0.73850E-01      0.17145E+00

  global error =        0.3950752E-02 iter. number =   100 denomin. =        0.1747114E+01

  global error =        0.2512703E-02 iter. number =   200 denomin. =        0.1747276E+01

  global error =        0.2080769E-02 iter. number =   300 denomin. =        0.1753826E+01

  global error =        0.1421619E-02 iter. number =   400 denomin. =        0.1802671E+01

  global error =        0.9037880E-03 iter. number =   500 denomin. =        0.1910295E+01

  global error =        0.7945844E-03 iter. number =   600 denomin. =        0.2060560E+01

  global error =        0.5705556E-03 iter. number =   700 denomin. =        0.2201430E+01

  global error =        0.4472768E-03 iter. number =   800 denomin. =        0.2313522E+01

  global error =        0.3037676E-03 iter. number =   900 denomin. =        0.2390565E+01

  global error =        0.2629939E-03 iter. number =  1000 denomin. =        0.2448318E+01

  global error =        0.2389890E-03 iter. number =  1100 denomin. =        0.2507254E+01

  global error =        0.1745247E-03 iter. number =  1200 denomin. =        0.2552671E+01

  global error =        0.1338786E-03 iter. number =  1300 denomin. =        0.2583097E+01

  global error =        0.1019378E-03 iter. number =  1400 denomin. =        0.2597560E+01

  global error =        0.1003486E-03 iter. number =  1500 denomin. =        0.2605145E+01

  convergence  for freq. #   145 achieved in  1510 inner iterations 
 relative error value =       0.99966088E-04


  frequency number   144 frequency :       0.10762500E+01
 jw  real sour, imag sour =    144     -0.91028E-01      0.17030E+00

  global error =        0.4994910E-02 iter. number =   100 denomin. =        0.2729590E+01

  global error =        0.3849753E-02 iter. number =   200 denomin. =        0.2813915E+01

  global error =        0.3494258E-02 iter. number =   300 denomin. =        0.2895381E+01

  global error =        0.3229411E-02 iter. number =   400 denomin. =        0.2904107E+01

  global error =        0.2827310E-02 iter. number =   500 denomin. =        0.2822613E+01

  global error =        0.1880239E-02 iter. number =   600 denomin. =        0.2641693E+01

  global error =        0.1277467E-02 iter. number =   700 denomin. =        0.2385968E+01

  global error =        0.1246007E-02 iter. number =   800 denomin. =        0.2111014E+01

  global error =        0.1239327E-02 iter. number =   900 denomin. =        0.1870568E+01

  global error =        0.1043770E-02 iter. number =  1000 denomin. =        0.1714939E+01

  global error =        0.6525881E-03 iter. number =  1100 denomin. =        0.1675223E+01

  global error =        0.4738296E-03 iter. number =  1200 denomin. =        0.1703606E+01

  global error =        0.4186226E-03 iter. number =  1300 denomin. =        0.1755453E+01

  global error =        0.3840419E-03 iter. number =  1400 denomin. =        0.1814754E+01

  global error =        0.2952459E-03 iter. number =  1500 denomin. =        0.1860706E+01

  global error =        0.1995380E-03 iter. number =  1600 denomin. =        0.1879936E+01

  global error =        0.1594338E-03 iter. number =  1700 denomin. =        0.1880126E+01

  global error =        0.1369078E-03 iter. number =  1800 denomin. =        0.1867996E+01

  global error =        0.1263047E-03 iter. number =  1900 denomin. =        0.1848396E+01

  global error =        0.1044552E-03 iter. number =  2000 denomin. =        0.1832258E+01

  convergence  for freq. #   144 achieved in  2021 inner iterations 
 relative error value =       0.99884939E-04


  frequency number   143 frequency :       0.10687500E+01
 jw  real sour, imag sour =    143     -0.10860E+00      0.16757E+00

  global error =        0.3889077E-02 iter. number =   100 denomin. =        0.1932132E+01

  global error =        0.2663640E-02 iter. number =   200 denomin. =        0.1988525E+01

  global error =        0.2318496E-02 iter. number =   300 denomin. =        0.2111088E+01

  global error =        0.1650854E-02 iter. number =   400 denomin. =        0.2289628E+01

  global error =        0.1207462E-02 iter. number =   500 denomin. =        0.2529442E+01

  global error =        0.9901322E-03 iter. number =   600 denomin. =        0.2787518E+01

  global error =        0.7141994E-03 iter. number =   700 denomin. =        0.3015370E+01

  global error =        0.6235452E-03 iter. number =   800 denomin. =        0.3217811E+01

  global error =        0.4579152E-03 iter. number =   900 denomin. =        0.3380318E+01

  global error =        0.3633293E-03 iter. number =  1000 denomin. =        0.3517191E+01

  global error =        0.2880670E-03 iter. number =  1100 denomin. =        0.3636214E+01

  global error =        0.2381267E-03 iter. number =  1200 denomin. =        0.3729759E+01

  global error =        0.2118369E-03 iter. number =  1300 denomin. =        0.3807416E+01

  global error =        0.1562063E-03 iter. number =  1400 denomin. =        0.3867384E+01

  global error =        0.1305452E-03 iter. number =  1500 denomin. =        0.3913880E+01

  global error =        0.1045177E-03 iter. number =  1600 denomin. =        0.3950566E+01

  convergence  for freq. #   143 achieved in  1622 inner iterations 
 relative error value =       0.99947511E-04


  frequency number   142 frequency :       0.10612500E+01
 jw  real sour, imag sour =    142     -0.12642E+00      0.16317E+00

  global error =        0.5534674E-02 iter. number =   100 denomin. =        0.4134354E+01

  global error =        0.4245642E-02 iter. number =   200 denomin. =        0.3946397E+01

  global error =        0.4007569E-02 iter. number =   300 denomin. =        0.3550764E+01

  global error =        0.3848785E-02 iter. number =   400 denomin. =        0.3113681E+01

  global error =        0.3502937E-02 iter. number =   500 denomin. =        0.2611349E+01

  global error =        0.2604491E-02 iter. number =   600 denomin. =        0.2191862E+01

  global error =        0.2342248E-02 iter. number =   700 denomin. =        0.1999057E+01

  global error =        0.1996261E-02 iter. number =   800 denomin. =        0.2012989E+01

  global error =        0.1575310E-02 iter. number =   900 denomin. =        0.2143296E+01

  global error =        0.1223093E-02 iter. number =  1000 denomin. =        0.2292257E+01

  global error =        0.9248769E-03 iter. number =  1100 denomin. =        0.2331236E+01

  global error =        0.8387828E-03 iter. number =  1200 denomin. =        0.2257435E+01

  global error =        0.6719373E-03 iter. number =  1300 denomin. =        0.2166757E+01

  global error =        0.5484349E-03 iter. number =  1400 denomin. =        0.2098364E+01

  global error =        0.4518094E-03 iter. number =  1500 denomin. =        0.2062295E+01

  global error =        0.3747271E-03 iter. number =  1600 denomin. =        0.2075673E+01

  global error =        0.3165946E-03 iter. number =  1700 denomin. =        0.2115890E+01

  global error =        0.2331551E-03 iter. number =  1800 denomin. =        0.2148803E+01

  global error =        0.1970605E-03 iter. number =  1900 denomin. =        0.2162828E+01

  global error =        0.1658687E-03 iter. number =  2000 denomin. =        0.2159141E+01

  global error =        0.1424855E-03 iter. number =  2100 denomin. =        0.2142137E+01

  global error =        0.1166297E-03 iter. number =  2200 denomin. =        0.2124711E+01

  convergence  for freq. #   142 achieved in  2254 inner iterations 
 relative error value =       0.99891296E-04


  frequency number   141 frequency :       0.10537500E+01
 jw  real sour, imag sour =    141     -0.14436E+00      0.15704E+00

  global error =        0.3667281E-02 iter. number =   100 denomin. =        0.2256435E+01

  global error =        0.2437557E-02 iter. number =   200 denomin. =        0.2402441E+01

  global error =        0.2092940E-02 iter. number =   300 denomin. =        0.2618308E+01

  global error =        0.1752337E-02 iter. number =   400 denomin. =        0.2889691E+01

  global error =        0.1584755E-02 iter. number =   500 denomin. =        0.3249445E+01

  global error =        0.1197939E-02 iter. number =   600 denomin. =        0.3602412E+01

  global error =        0.7216495E-03 iter. number =   700 denomin. =        0.3911927E+01

  global error =        0.5823482E-03 iter. number =   800 denomin. =        0.4157403E+01

  global error =        0.4763415E-03 iter. number =   900 denomin. =        0.4362359E+01

  global error =        0.4442519E-03 iter. number =  1000 denomin. =        0.4542583E+01

  global error =        0.3228530E-03 iter. number =  1100 denomin. =        0.4680918E+01

  global error =        0.2313136E-03 iter. number =  1200 denomin. =        0.4787596E+01

  global error =        0.1887945E-03 iter. number =  1300 denomin. =        0.4864041E+01

  global error =        0.1642082E-03 iter. number =  1400 denomin. =        0.4921644E+01

  global error =        0.1462084E-03 iter. number =  1500 denomin. =        0.4961525E+01

  global error =        0.1108710E-03 iter. number =  1600 denomin. =        0.4989810E+01

  convergence  for freq. #   141 achieved in  1652 inner iterations 
 relative error value =       0.99991421E-04


  frequency number   140 frequency :       0.10462500E+01
 jw  real sour, imag sour =    140     -0.16223E+00      0.14913E+00

  global error =        0.5661731E-02 iter. number =   100 denomin. =        0.5084887E+01

  global error =        0.4354897E-02 iter. number =   200 denomin. =        0.4912589E+01

  global error =        0.4155730E-02 iter. number =   300 denomin. =        0.4705812E+01

  global error =        0.3949461E-02 iter. number =   400 denomin. =        0.4242825E+01

  global error =        0.3408583E-02 iter. number =   500 denomin. =        0.3531020E+01

  global error =        0.2217127E-02 iter. number =   600 denomin. =        0.3105984E+01

  global error =        0.1891687E-02 iter. number =   700 denomin. =        0.2951188E+01

  global error =        0.1760995E-02 iter. number =   800 denomin. =        0.2943208E+01

  global error =        0.1562497E-02 iter. number =   900 denomin. =        0.3150834E+01

  global error =        0.1097133E-02 iter. number =  1000 denomin. =        0.3407650E+01

  global error =        0.7285110E-03 iter. number =  1100 denomin. =        0.3520162E+01

  global error =        0.6335488E-03 iter. number =  1200 denomin. =        0.3494768E+01

  global error =        0.5654171E-03 iter. number =  1300 denomin. =        0.3376722E+01

  global error =        0.5159381E-03 iter. number =  1400 denomin. =        0.3226057E+01

  global error =        0.3780380E-03 iter. number =  1500 denomin. =        0.3139071E+01

  global error =        0.2909506E-03 iter. number =  1600 denomin. =        0.3124023E+01

  global error =        0.2390701E-03 iter. number =  1700 denomin. =        0.3150763E+01

  global error =        0.2008742E-03 iter. number =  1800 denomin. =        0.3188402E+01

  global error =        0.1748922E-03 iter. number =  1900 denomin. =        0.3212852E+01

  global error =        0.1361747E-03 iter. number =  2000 denomin. =        0.3216717E+01

  global error =        0.1121768E-03 iter. number =  2100 denomin. =        0.3207520E+01

  convergence  for freq. #   140 achieved in  2150 inner iterations 
 relative error value =       0.99990845E-04


  frequency number   139 frequency :       0.10387500E+01
 jw  real sour, imag sour =    139     -0.17989E+00      0.13937E+00

  global error =        0.4539773E-02 iter. number =   100 denomin. =        0.3393185E+01

  global error =        0.3358114E-02 iter. number =   200 denomin. =        0.3593482E+01

  global error =        0.3053133E-02 iter. number =   300 denomin. =        0.3866128E+01

  global error =        0.2403720E-02 iter. number =   400 denomin. =        0.4252993E+01

  global error =        0.2113541E-02 iter. number =   500 denomin. =        0.4742328E+01

  global error =        0.1572398E-02 iter. number =   600 denomin. =        0.5107146E+01

  global error =        0.1153655E-02 iter. number =   700 denomin. =        0.5189312E+01

  global error =        0.9822258E-03 iter. number =   800 denomin. =        0.5107549E+01

  global error =        0.7098498E-03 iter. number =   900 denomin. =        0.4987729E+01

  global error =        0.6264810E-03 iter. number =  1000 denomin. =        0.4855667E+01

  global error =        0.5054092E-03 iter. number =  1100 denomin. =        0.4660124E+01

  global error =        0.4548441E-03 iter. number =  1200 denomin. =        0.4433390E+01

  global error =        0.3492968E-03 iter. number =  1300 denomin. =        0.4225913E+01

  global error =        0.2374536E-03 iter. number =  1400 denomin. =        0.4090367E+01

  global error =        0.2130392E-03 iter. number =  1500 denomin. =        0.3993745E+01

  global error =        0.1909750E-03 iter. number =  1600 denomin. =        0.3919359E+01

  global error =        0.1707264E-03 iter. number =  1700 denomin. =        0.3869697E+01

  global error =        0.1169735E-03 iter. number =  1800 denomin. =        0.3848261E+01

  convergence  for freq. #   139 achieved in  1836 inner iterations 
 relative error value =       0.99881815E-04


  frequency number   138 frequency :       0.10312500E+01
 jw  real sour, imag sour =    138     -0.19715E+00      0.12777E+00

  global error =        0.4645282E-02 iter. number =   100 denomin. =        0.3992150E+01

  global error =        0.3038887E-02 iter. number =   200 denomin. =        0.3790851E+01

  global error =        0.2588836E-02 iter. number =   300 denomin. =        0.3493570E+01

  global error =        0.2226448E-02 iter. number =   400 denomin. =        0.3275485E+01

  global error =        0.1600723E-02 iter. number =   500 denomin. =        0.3109870E+01

  global error =        0.1138442E-02 iter. number =   600 denomin. =        0.3213996E+01

  global error =        0.9307434E-03 iter. number =   700 denomin. =        0.3457258E+01

  global error =        0.6900234E-03 iter. number =   800 denomin. =        0.3607932E+01

  global error =        0.5776095E-03 iter. number =   900 denomin. =        0.3631171E+01

  global error =        0.4988387E-03 iter. number =  1000 denomin. =        0.3526961E+01

  global error =        0.4349443E-03 iter. number =  1100 denomin. =        0.3439321E+01

  global error =        0.3021599E-03 iter. number =  1200 denomin. =        0.3420154E+01

  global error =        0.2129999E-03 iter. number =  1300 denomin. =        0.3421510E+01

  global error =        0.2073222E-03 iter. number =  1400 denomin. =        0.3419250E+01

  global error =        0.1941401E-03 iter. number =  1500 denomin. =        0.3410327E+01

  global error =        0.1559296E-03 iter. number =  1600 denomin. =        0.3386704E+01

  global error =        0.1077123E-03 iter. number =  1700 denomin. =        0.3377086E+01

  convergence  for freq. #   138 achieved in  1724 inner iterations 
 relative error value =       0.99949123E-04


  frequency number   137 frequency :       0.10237500E+01
 jw  real sour, imag sour =    137     -0.21382E+00      0.11429E+00

  global error =        0.4205643E-02 iter. number =   100 denomin. =        0.3627062E+01

  global error =        0.3023571E-02 iter. number =   200 denomin. =        0.3939385E+01

  global error =        0.2667958E-02 iter. number =   300 denomin. =        0.4390256E+01

  global error =        0.2348071E-02 iter. number =   400 denomin. =        0.4891325E+01

  global error =        0.2094566E-02 iter. number =   500 denomin. =        0.5465009E+01

  global error =        0.1399742E-02 iter. number =   600 denomin. =        0.5891399E+01

  global error =        0.8872029E-03 iter. number =   700 denomin. =        0.6205799E+01

  global error =        0.7905693E-03 iter. number =   800 denomin. =        0.6378508E+01

  global error =        0.6685276E-03 iter. number =   900 denomin. =        0.6371769E+01

  global error =        0.5966576E-03 iter. number =  1000 denomin. =        0.6239952E+01

  global error =        0.4567893E-03 iter. number =  1100 denomin. =        0.6104791E+01

  global error =        0.4003668E-03 iter. number =  1200 denomin. =        0.6020743E+01

  global error =        0.3037914E-03 iter. number =  1300 denomin. =        0.5882191E+01

  global error =        0.2159151E-03 iter. number =  1400 denomin. =        0.5725957E+01

  global error =        0.1935824E-03 iter. number =  1500 denomin. =        0.5575735E+01

  global error =        0.1868195E-03 iter. number =  1600 denomin. =        0.5446351E+01

  global error =        0.1668732E-03 iter. number =  1700 denomin. =        0.5332807E+01

  global error =        0.1113610E-03 iter. number =  1800 denomin. =        0.5251445E+01

  convergence  for freq. #   137 achieved in  1824 inner iterations 
 relative error value =       0.99867534E-04


  frequency number   136 frequency :       0.10162500E+01
 jw  real sour, imag sour =    136     -0.22972E+00      0.98949E-01

  global error =        0.5100179E-02 iter. number =   100 denomin. =        0.5263628E+01

  global error =        0.3663750E-02 iter. number =   200 denomin. =        0.5055296E+01

  global error =        0.3459652E-02 iter. number =   300 denomin. =        0.4937180E+01

  global error =        0.2721551E-02 iter. number =   400 denomin. =        0.4780761E+01

  global error =        0.1759605E-02 iter. number =   500 denomin. =        0.4709656E+01

  global error =        0.1242519E-02 iter. number =   600 denomin. =        0.4990337E+01

  global error =        0.1200654E-02 iter. number =   700 denomin. =        0.5375437E+01

  global error =        0.1029652E-02 iter. number =   800 denomin. =        0.5863378E+01

  global error =        0.7575386E-03 iter. number =   900 denomin. =        0.6299277E+01

  global error =        0.5205740E-03 iter. number =  1000 denomin. =        0.6584372E+01

  global error =        0.3959644E-03 iter. number =  1100 denomin. =        0.6754460E+01

  global error =        0.3116033E-03 iter. number =  1200 denomin. =        0.6799415E+01

  global error =        0.2634011E-03 iter. number =  1300 denomin. =        0.6886288E+01

  global error =        0.2358944E-03 iter. number =  1400 denomin. =        0.7009371E+01

  global error =        0.2020815E-03 iter. number =  1500 denomin. =        0.7117149E+01

  global error =        0.1414703E-03 iter. number =  1600 denomin. =        0.7194172E+01

  convergence  for freq. #   136 achieved in  1674 inner iterations 
 relative error value =       0.99779999E-04


  frequency number   135 frequency :       0.10087500E+01
 jw  real sour, imag sour =    135     -0.24465E+00      0.81773E-01

  global error =        0.5511358E-02 iter. number =   100 denomin. =        0.7618989E+01

  global error =        0.4270326E-02 iter. number =   200 denomin. =        0.7795181E+01

  global error =        0.3920423E-02 iter. number =   300 denomin. =        0.7822157E+01

  global error =        0.3400640E-02 iter. number =   400 denomin. =        0.7910425E+01

  global error =        0.3051539E-02 iter. number =   500 denomin. =        0.7983168E+01

  global error =        0.2279201E-02 iter. number =   600 denomin. =        0.7439803E+01

  global error =        0.2049912E-02 iter. number =   700 denomin. =        0.6222919E+01

  global error =        0.1912350E-02 iter. number =   800 denomin. =        0.4988207E+01

  global error =        0.1582898E-02 iter. number =   900 denomin. =        0.4268826E+01

  global error =        0.1414684E-02 iter. number =  1000 denomin. =        0.3939046E+01

  global error =        0.1172496E-02 iter. number =  1100 denomin. =        0.3889313E+01

  global error =        0.1036464E-02 iter. number =  1200 denomin. =        0.4063197E+01

  global error =        0.7501903E-03 iter. number =  1300 denomin. =        0.4316977E+01

  global error =        0.5605583E-03 iter. number =  1400 denomin. =        0.4513996E+01

  global error =        0.4816946E-03 iter. number =  1500 denomin. =        0.4633827E+01

  global error =        0.4136111E-03 iter. number =  1600 denomin. =        0.4670314E+01

  global error =        0.3575972E-03 iter. number =  1700 denomin. =        0.4632715E+01

  global error =        0.2684506E-03 iter. number =  1800 denomin. =        0.4549984E+01

  global error =        0.2269910E-03 iter. number =  1900 denomin. =        0.4460065E+01

  global error =        0.1910913E-03 iter. number =  2000 denomin. =        0.4388527E+01

  global error =        0.1606590E-03 iter. number =  2100 denomin. =        0.4352505E+01

  global error =        0.1355469E-03 iter. number =  2200 denomin. =        0.4348639E+01

  global error =        0.1089249E-03 iter. number =  2300 denomin. =        0.4368881E+01

  convergence  for freq. #   135 achieved in  2358 inner iterations 
 relative error value =       0.99909027E-04


  frequency number   134 frequency :       0.10012500E+01
 jw  real sour, imag sour =    134     -0.25842E+00      0.62807E-01

  global error =        0.3916982E-02 iter. number =   100 denomin. =        0.4703394E+01

  global error =        0.2413249E-02 iter. number =   200 denomin. =        0.4866634E+01

  global error =        0.1883092E-02 iter. number =   300 denomin. =        0.5098142E+01

  global error =        0.1446929E-02 iter. number =   400 denomin. =        0.5431367E+01

  global error =        0.1136175E-02 iter. number =   500 denomin. =        0.5918321E+01

  global error =        0.1002978E-02 iter. number =   600 denomin. =        0.6542530E+01

  global error =        0.6450703E-03 iter. number =   700 denomin. =        0.7089071E+01

  global error =        0.4254620E-03 iter. number =   800 denomin. =        0.7447139E+01

  global error =        0.3214597E-03 iter. number =   900 denomin. =        0.7672178E+01

  global error =        0.3047419E-03 iter. number =  1000 denomin. =        0.7838277E+01

  global error =        0.2425317E-03 iter. number =  1100 denomin. =        0.8034670E+01

  global error =        0.1454271E-03 iter. number =  1200 denomin. =        0.8152377E+01

  global error =        0.1156128E-03 iter. number =  1300 denomin. =        0.8186400E+01

  global error =        0.1125208E-03 iter. number =  1400 denomin. =        0.8179353E+01

  convergence  for freq. #   134 achieved in  1478 inner iterations 
 relative error value =       0.99930644E-04


  frequency number   133 frequency :       0.99375000E+00
 jw  real sour, imag sour =    133     -0.27083E+00      0.42116E-01

  global error =        0.5145499E-02 iter. number =   100 denomin. =        0.8433552E+01

  global error =        0.3922315E-02 iter. number =   200 denomin. =        0.8781761E+01

  global error =        0.3606622E-02 iter. number =   300 denomin. =        0.9299247E+01

  global error =        0.3242322E-02 iter. number =   400 denomin. =        0.9617667E+01

  global error =        0.2813627E-02 iter. number =   500 denomin. =        0.9555001E+01

  global error =        0.1811988E-02 iter. number =   600 denomin. =        0.9164450E+01

  global error =        0.1194683E-02 iter. number =   700 denomin. =        0.8700967E+01

  global error =        0.1095830E-02 iter. number =   800 denomin. =        0.8037605E+01

  global error =        0.9763321E-03 iter. number =   900 denomin. =        0.7256858E+01

  global error =        0.8143602E-03 iter. number =  1000 denomin. =        0.6690154E+01

  global error =        0.5613655E-03 iter. number =  1100 denomin. =        0.6461481E+01

  global error =        0.4459661E-03 iter. number =  1200 denomin. =        0.6420281E+01

  global error =        0.3507657E-03 iter. number =  1300 denomin. =        0.6513601E+01

  global error =        0.2740051E-03 iter. number =  1400 denomin. =        0.6674936E+01

  global error =        0.2147520E-03 iter. number =  1500 denomin. =        0.6805427E+01

  global error =        0.1796869E-03 iter. number =  1600 denomin. =        0.6885211E+01

  global error =        0.1524618E-03 iter. number =  1700 denomin. =        0.6925464E+01

  global error =        0.1114652E-03 iter. number =  1800 denomin. =        0.6914978E+01

  convergence  for freq. #   133 achieved in  1839 inner iterations 
 relative error value =       0.99771103E-04


  frequency number   132 frequency :       0.98625000E+00
 jw  real sour, imag sour =    132     -0.28168E+00      0.19785E-01

  global error =        0.4660505E-02 iter. number =   100 denomin. =        0.7070370E+01

  global error =        0.3324608E-02 iter. number =   200 denomin. =        0.7156339E+01

  global error =        0.2982072E-02 iter. number =   300 denomin. =        0.7423332E+01

  global error =        0.2005910E-02 iter. number =   400 denomin. =        0.7893948E+01

  global error =        0.1450910E-02 iter. number =   500 denomin. =        0.8626506E+01

  global error =        0.1150341E-02 iter. number =   600 denomin. =        0.9416552E+01

  global error =        0.8177357E-03 iter. number =   700 denomin. =        0.1006425E+02

  global error =        0.7203822E-03 iter. number =   800 denomin. =        0.1058409E+02

  global error =        0.4696998E-03 iter. number =   900 denomin. =        0.1091823E+02

  global error =        0.3289508E-03 iter. number =  1000 denomin. =        0.1116783E+02

  global error =        0.2599173E-03 iter. number =  1100 denomin. =        0.1135501E+02

  global error =        0.2229179E-03 iter. number =  1200 denomin. =        0.1149111E+02

  global error =        0.1963493E-03 iter. number =  1300 denomin. =        0.1158697E+02

  global error =        0.1400810E-03 iter. number =  1400 denomin. =        0.1163152E+02

  global error =        0.1013013E-03 iter. number =  1500 denomin. =        0.1165513E+02

  convergence  for freq. #   132 achieved in  1505 inner iterations 
 relative error value =       0.99838295E-04


  frequency number   131 frequency :       0.97875000E+00
 jw  real sour, imag sour =    131     -0.29080E+00     -0.40793E-02

  global error =        0.5614238E-02 iter. number =   100 denomin. =        0.1202434E+02

  global error =        0.4099434E-02 iter. number =   200 denomin. =        0.1125103E+02

  global error =        0.3677677E-02 iter. number =   300 denomin. =        0.9877574E+01

  global error =        0.3306085E-02 iter. number =   400 denomin. =        0.8596929E+01

  global error =        0.2685337E-02 iter. number =   500 denomin. =        0.7380552E+01

  global error =        0.1849016E-02 iter. number =   600 denomin. =        0.6470249E+01

  global error =        0.1462247E-02 iter. number =   700 denomin. =        0.6314447E+01

  global error =        0.1034551E-02 iter. number =   800 denomin. =        0.6571258E+01

  global error =        0.7657314E-03 iter. number =   900 denomin. =        0.6841483E+01

  global error =        0.5693056E-03 iter. number =  1000 denomin. =        0.6994926E+01

  global error =        0.4604152E-03 iter. number =  1100 denomin. =        0.6943655E+01

  global error =        0.3738302E-03 iter. number =  1200 denomin. =        0.6738703E+01

  global error =        0.2290188E-03 iter. number =  1300 denomin. =        0.6594820E+01

  global error =        0.1582993E-03 iter. number =  1400 denomin. =        0.6567290E+01

  global error =        0.1409309E-03 iter. number =  1500 denomin. =        0.6597960E+01

  global error =        0.1333877E-03 iter. number =  1600 denomin. =        0.6654327E+01

  global error =        0.1021980E-03 iter. number =  1700 denomin. =        0.6705808E+01

  convergence  for freq. #   131 achieved in  1706 inner iterations 
 relative error value =       0.99612394E-04


  frequency number   130 frequency :       0.97125000E+00
 jw  real sour, imag sour =    130     -0.29798E+00     -0.29349E-01

  global error =        0.4175916E-02 iter. number =   100 denomin. =        0.7147921E+01

  global error =        0.2739732E-02 iter. number =   200 denomin. =        0.7634656E+01

  global error =        0.2280089E-02 iter. number =   300 denomin. =        0.8418066E+01

  global error =        0.1837472E-02 iter. number =   400 denomin. =        0.9350106E+01

  global error =        0.1563106E-02 iter. number =   500 denomin. =        0.1038495E+02

  global error =        0.1062013E-02 iter. number =   600 denomin. =        0.1128877E+02

  global error =        0.6166896E-03 iter. number =   700 denomin. =        0.1196860E+02

  global error =        0.5146644E-03 iter. number =   800 denomin. =        0.1254971E+02

  global error =        0.3822366E-03 iter. number =   900 denomin. =        0.1293726E+02

  global error =        0.3178194E-03 iter. number =  1000 denomin. =        0.1319032E+02

  global error =        0.2383425E-03 iter. number =  1100 denomin. =        0.1335750E+02

  global error =        0.1928791E-03 iter. number =  1200 denomin. =        0.1350813E+02

  global error =        0.1565964E-03 iter. number =  1300 denomin. =        0.1361266E+02

  global error =        0.1020164E-03 iter. number =  1400 denomin. =        0.1364460E+02

  convergence  for freq. #   130 achieved in  1406 inner iterations 
 relative error value =       0.99873537E-04


  frequency number   129 frequency :       0.96375000E+00
 jw  real sour, imag sour =    129     -0.30306E+00     -0.55876E-01

  global error =        0.5367744E-02 iter. number =   100 denomin. =        0.1352264E+02

  global error =        0.4009799E-02 iter. number =   200 denomin. =        0.1287331E+02

  global error =        0.3723205E-02 iter. number =   300 denomin. =        0.1223186E+02

  global error =        0.3123179E-02 iter. number =   400 denomin. =        0.1118664E+02

  global error =        0.2292634E-02 iter. number =   500 denomin. =        0.1018206E+02

  global error =        0.1423163E-02 iter. number =   600 denomin. =        0.9917830E+01

  global error =        0.1123647E-02 iter. number =   700 denomin. =        0.1004200E+02

  global error =        0.9189163E-03 iter. number =   800 denomin. =        0.1043757E+02

  global error =        0.6722164E-03 iter. number =   900 denomin. =        0.1102255E+02

  global error =        0.5168355E-03 iter. number =  1000 denomin. =        0.1150108E+02

  global error =        0.3919654E-03 iter. number =  1100 denomin. =        0.1178286E+02

  global error =        0.2818066E-03 iter. number =  1200 denomin. =        0.1185663E+02

  global error =        0.1800291E-03 iter. number =  1300 denomin. =        0.1181840E+02

  global error =        0.1389412E-03 iter. number =  1400 denomin. =        0.1177898E+02

  global error =        0.1279601E-03 iter. number =  1500 denomin. =        0.1176775E+02

  global error =        0.1060246E-03 iter. number =  1600 denomin. =        0.1179312E+02

  convergence  for freq. #   129 achieved in  1623 inner iterations 
 relative error value =       0.99749072E-04


  frequency number   128 frequency :       0.95625000E+00
 jw  real sour, imag sour =    128     -0.30587E+00     -0.83491E-01

  global error =        0.4844153E-02 iter. number =   100 denomin. =        0.1243253E+02

  global error =        0.3733862E-02 iter. number =   200 denomin. =        0.1278130E+02

  global error =        0.3259376E-02 iter. number =   300 denomin. =        0.1304621E+02

  global error =        0.2570886E-02 iter. number =   400 denomin. =        0.1320863E+02

  global error =        0.2043361E-02 iter. number =   500 denomin. =        0.1313472E+02

  global error =        0.1428218E-02 iter. number =   600 denomin. =        0.1250985E+02

  global error =        0.1016382E-02 iter. number =   700 denomin. =        0.1138966E+02

  global error =        0.8905929E-03 iter. number =   800 denomin. =        0.1028855E+02

  global error =        0.6535291E-03 iter. number =   900 denomin. =        0.9585287E+01

  global error =        0.5058568E-03 iter. number =  1000 denomin. =        0.9312039E+01

  global error =        0.3877758E-03 iter. number =  1100 denomin. =        0.9302760E+01

  global error =        0.3046758E-03 iter. number =  1200 denomin. =        0.9440494E+01

  global error =        0.2358199E-03 iter. number =  1300 denomin. =        0.9619952E+01

  global error =        0.1669785E-03 iter. number =  1400 denomin. =        0.9763463E+01

  global error =        0.1327457E-03 iter. number =  1500 denomin. =        0.9841400E+01

  global error =        0.1061810E-03 iter. number =  1600 denomin. =        0.9868559E+01

  convergence  for freq. #   128 achieved in  1627 inner iterations 
 relative error value =       0.99885401E-04


  frequency number   127 frequency :       0.94875000E+00
 jw  real sour, imag sour =    127     -0.30625E+00     -0.11201E+00

  global error =        0.4090164E-02 iter. number =   100 denomin. =        0.1038700E+02

  global error =        0.2578714E-02 iter. number =   200 denomin. =        0.1064155E+02

  global error =        0.1937667E-02 iter. number =   300 denomin. =        0.1108665E+02

  global error =        0.1337715E-02 iter. number =   400 denomin. =        0.1173329E+02

  global error =        0.9875060E-03 iter. number =   500 denomin. =        0.1251124E+02

  global error =        0.7165377E-03 iter. number =   600 denomin. =        0.1340587E+02

  global error =        0.4938258E-03 iter. number =   700 denomin. =        0.1404709E+02

  global error =        0.2697757E-03 iter. number =   800 denomin. =        0.1443521E+02

  global error =        0.1865022E-03 iter. number =   900 denomin. =        0.1462408E+02

  global error =        0.1454072E-03 iter. number =  1000 denomin. =        0.1475468E+02

  global error =        0.1236547E-03 iter. number =  1100 denomin. =        0.1489078E+02

  convergence  for freq. #   127 achieved in  1180 inner iterations 
 relative error value =       0.99990577E-04


  frequency number   126 frequency :       0.94125000E+00
 jw  real sour, imag sour =    126     -0.30408E+00     -0.14122E+00

  global error =        0.4587769E-02 iter. number =   100 denomin. =        0.1540306E+02

  global error =        0.3590472E-02 iter. number =   200 denomin. =        0.1557931E+02

  global error =        0.3070416E-02 iter. number =   300 denomin. =        0.1579909E+02

  global error =        0.2453762E-02 iter. number =   400 denomin. =        0.1573632E+02

  global error =        0.1803534E-02 iter. number =   500 denomin. =        0.1528949E+02

  global error =        0.1037743E-02 iter. number =   600 denomin. =        0.1484003E+02

  global error =        0.5212452E-03 iter. number =   700 denomin. =        0.1445932E+02

  global error =        0.3981884E-03 iter. number =   800 denomin. =        0.1425187E+02

  global error =        0.3476520E-03 iter. number =   900 denomin. =        0.1424471E+02

  global error =        0.2690220E-03 iter. number =  1000 denomin. =        0.1436651E+02

  global error =        0.1659734E-03 iter. number =  1100 denomin. =        0.1446767E+02

  global error =        0.1007901E-03 iter. number =  1200 denomin. =        0.1450037E+02

  convergence  for freq. #   126 achieved in  1202 inner iterations 
 relative error value =       0.99988493E-04


  frequency number   125 frequency :       0.93375000E+00
 jw  real sour, imag sour =    125     -0.29922E+00     -0.17089E+00

  global error =        0.4300702E-02 iter. number =   100 denomin. =        0.1516534E+02

  global error =        0.3345747E-02 iter. number =   200 denomin. =        0.1554723E+02

  global error =        0.2707258E-02 iter. number =   300 denomin. =        0.1610456E+02

  global error =        0.1938283E-02 iter. number =   400 denomin. =        0.1682120E+02

  global error =        0.1405562E-02 iter. number =   500 denomin. =        0.1742224E+02

  global error =        0.8657563E-03 iter. number =   600 denomin. =        0.1754842E+02

  global error =        0.4708687E-03 iter. number =   700 denomin. =        0.1730254E+02

  global error =        0.3273412E-03 iter. number =   800 denomin. =        0.1684961E+02

  global error =        0.2403976E-03 iter. number =   900 denomin. =        0.1653205E+02

  global error =        0.1622771E-03 iter. number =  1000 denomin. =        0.1636992E+02

  global error =        0.1158232E-03 iter. number =  1100 denomin. =        0.1629129E+02

  convergence  for freq. #   125 achieved in  1152 inner iterations 
 relative error value =       0.99832499E-04


  frequency number   124 frequency :       0.92625000E+00
 jw  real sour, imag sour =    124     -0.29158E+00     -0.20080E+00

  global error =        0.4379121E-02 iter. number =   100 denomin. =        0.1673497E+02

  global error =        0.2967480E-02 iter. number =   200 denomin. =        0.1612140E+02

  global error =        0.2304363E-02 iter. number =   300 denomin. =        0.1536834E+02

  global error =        0.1485247E-02 iter. number =   400 denomin. =        0.1503946E+02

  global error =        0.8584886E-03 iter. number =   500 denomin. =        0.1522334E+02

  global error =        0.6133824E-03 iter. number =   600 denomin. =        0.1590470E+02

  global error =        0.4241148E-03 iter. number =   700 denomin. =        0.1668818E+02

  global error =        0.3021158E-03 iter. number =   800 denomin. =        0.1731079E+02

  global error =        0.2221012E-03 iter. number =   900 denomin. =        0.1770329E+02

  global error =        0.1744235E-03 iter. number =  1000 denomin. =        0.1792822E+02

  global error =        0.1497645E-03 iter. number =  1100 denomin. =        0.1806111E+02

  global error =        0.1107584E-03 iter. number =  1200 denomin. =        0.1814566E+02

  convergence  for freq. #   124 achieved in  1228 inner iterations 
 relative error value =       0.99940381E-04


  frequency number   123 frequency :       0.91875000E+00
 jw  real sour, imag sour =    123     -0.28108E+00     -0.23068E+00

  global error =        0.4707579E-02 iter. number =   100 denomin. =        0.1908222E+02

  global error =        0.3585559E-02 iter. number =   200 denomin. =        0.2004068E+02

  global error =        0.3103668E-02 iter. number =   300 denomin. =        0.2099131E+02

  global error =        0.2608490E-02 iter. number =   400 denomin. =        0.2168928E+02

  global error =        0.2081261E-02 iter. number =   500 denomin. =        0.2182755E+02

  global error =        0.1404006E-02 iter. number =   600 denomin. =        0.2148043E+02

  global error =        0.7573833E-03 iter. number =   700 denomin. =        0.2072002E+02

  global error =        0.6296165E-03 iter. number =   800 denomin. =        0.1953970E+02

  global error =        0.5253597E-03 iter. number =   900 denomin. =        0.1836056E+02

  global error =        0.4477585E-03 iter. number =  1000 denomin. =        0.1740842E+02

  global error =        0.3471721E-03 iter. number =  1100 denomin. =        0.1682543E+02

  global error =        0.2388133E-03 iter. number =  1200 denomin. =        0.1656477E+02

  global error =        0.1726585E-03 iter. number =  1300 denomin. =        0.1654551E+02

  global error =        0.1170799E-03 iter. number =  1400 denomin. =        0.1664758E+02

  convergence  for freq. #   123 achieved in  1452 inner iterations 
 relative error value =       0.99985083E-04


  frequency number   122 frequency :       0.91125000E+00
 jw  real sour, imag sour =    122     -0.26766E+00     -0.26026E+00

  global error =        0.4494710E-02 iter. number =   100 denomin. =        0.1797293E+02

  global error =        0.3172046E-02 iter. number =   200 denomin. =        0.1901011E+02

  global error =        0.2652739E-02 iter. number =   300 denomin. =        0.2044435E+02

  global error =        0.1885761E-02 iter. number =   400 denomin. =        0.2225601E+02

  global error =        0.1308375E-02 iter. number =   500 denomin. =        0.2443249E+02

  global error =        0.9744795E-03 iter. number =   600 denomin. =        0.2640287E+02

  global error =        0.6159004E-03 iter. number =   700 denomin. =        0.2792200E+02

  global error =        0.5319583E-03 iter. number =   800 denomin. =        0.2887801E+02

  global error =        0.4226057E-03 iter. number =   900 denomin. =        0.2953363E+02

  global error =        0.3284005E-03 iter. number =  1000 denomin. =        0.2990760E+02

  global error =        0.2457479E-03 iter. number =  1100 denomin. =        0.3008572E+02

  global error =        0.1645467E-03 iter. number =  1200 denomin. =        0.3012419E+02

  global error =        0.1425758E-03 iter. number =  1300 denomin. =        0.3004592E+02

  global error =        0.1141931E-03 iter. number =  1400 denomin. =        0.2994486E+02

  convergence  for freq. #   122 achieved in  1452 inner iterations 
 relative error value =       0.99939262E-04


  frequency number   121 frequency :       0.90375000E+00
 jw  real sour, imag sour =    121     -0.25129E+00     -0.28926E+00

  global error =        0.5523872E-02 iter. number =   100 denomin. =        0.3067101E+02

  global error =        0.3941645E-02 iter. number =   200 denomin. =        0.2894414E+02

  global error =        0.3491960E-02 iter. number =   300 denomin. =        0.2630282E+02

  global error =        0.3022462E-02 iter. number =   400 denomin. =        0.2357652E+02

  global error =        0.2377291E-02 iter. number =   500 denomin. =        0.2107973E+02

  global error =        0.1663569E-02 iter. number =   600 denomin. =        0.2004769E+02

  global error =        0.1331081E-02 iter. number =   700 denomin. =        0.2076109E+02

  global error =        0.1065295E-02 iter. number =   800 denomin. =        0.2221387E+02

  global error =        0.7742559E-03 iter. number =   900 denomin. =        0.2356508E+02

  global error =        0.5519457E-03 iter. number =  1000 denomin. =        0.2424528E+02

  global error =        0.3909205E-03 iter. number =  1100 denomin. =        0.2412153E+02

  global error =        0.3389265E-03 iter. number =  1200 denomin. =        0.2348214E+02

  global error =        0.2758001E-03 iter. number =  1300 denomin. =        0.2290355E+02

  global error =        0.2086773E-03 iter. number =  1400 denomin. =        0.2265590E+02

  global error =        0.1555953E-03 iter. number =  1500 denomin. =        0.2267095E+02

  global error =        0.1108011E-03 iter. number =  1600 denomin. =        0.2277760E+02

  convergence  for freq. #   121 achieved in  1670 inner iterations 
 relative error value =       0.99960530E-04


  frequency number   120 frequency :       0.89625000E+00
 jw  real sour, imag sour =    120     -0.23196E+00     -0.31739E+00

  global error =        0.4700869E-02 iter. number =   100 denomin. =        0.2426697E+02

  global error =        0.3330280E-02 iter. number =   200 denomin. =        0.2602145E+02

  global error =        0.2873517E-02 iter. number =   300 denomin. =        0.2835583E+02

  global error =        0.2395301E-02 iter. number =   400 denomin. =        0.3114137E+02

  global error =        0.1991087E-02 iter. number =   500 denomin. =        0.3419244E+02

  global error =        0.1511174E-02 iter. number =   600 denomin. =        0.3654750E+02

  global error =        0.9031786E-03 iter. number =   700 denomin. =        0.3748625E+02

  global error =        0.7242214E-03 iter. number =   800 denomin. =        0.3701753E+02

  global error =        0.6002319E-03 iter. number =   900 denomin. =        0.3595160E+02

  global error =        0.5138226E-03 iter. number =  1000 denomin. =        0.3470345E+02

  global error =        0.3999696E-03 iter. number =  1100 denomin. =        0.3342999E+02

  global error =        0.2654743E-03 iter. number =  1200 denomin. =        0.3233597E+02

  global error =        0.2219461E-03 iter. number =  1300 denomin. =        0.3137864E+02

  global error =        0.1821954E-03 iter. number =  1400 denomin. =        0.3062850E+02

  global error =        0.1504215E-03 iter. number =  1500 denomin. =        0.3011746E+02

  global error =        0.1124808E-03 iter. number =  1600 denomin. =        0.2981631E+02

  convergence  for freq. #   120 achieved in  1628 inner iterations 
 relative error value =       0.99837845E-04


  frequency number   119 frequency :       0.88875000E+00
 jw  real sour, imag sour =    119     -0.20971E+00     -0.34437E+00

  global error =        0.5083821E-02 iter. number =   100 denomin. =        0.3079543E+02

  global error =        0.3489358E-02 iter. number =   200 denomin. =        0.3045486E+02

  global error =        0.3084140E-02 iter. number =   300 denomin. =        0.2992032E+02

  global error =        0.2315000E-02 iter. number =   400 denomin. =        0.2940486E+02

  global error =        0.1425121E-02 iter. number =   500 denomin. =        0.2922490E+02

  global error =        0.9908453E-03 iter. number =   600 denomin. =        0.3053288E+02

  global error =        0.8698983E-03 iter. number =   700 denomin. =        0.3305035E+02

  global error =        0.7311105E-03 iter. number =   800 denomin. =        0.3544222E+02

  global error =        0.5393565E-03 iter. number =   900 denomin. =        0.3704851E+02

  global error =        0.3663114E-03 iter. number =  1000 denomin. =        0.3755000E+02

  global error =        0.2687702E-03 iter. number =  1100 denomin. =        0.3757759E+02

  global error =        0.2507046E-03 iter. number =  1200 denomin. =        0.3756033E+02

  global error =        0.2023676E-03 iter. number =  1300 denomin. =        0.3772768E+02

  global error =        0.1522793E-03 iter. number =  1400 denomin. =        0.3799083E+02

  global error =        0.1152158E-03 iter. number =  1500 denomin. =        0.3812587E+02

  convergence  for freq. #   119 achieved in  1550 inner iterations 
 relative error value =       0.99843391E-04


  frequency number   118 frequency :       0.88125000E+00
 jw  real sour, imag sour =    118     -0.18457E+00     -0.36989E+00

  global error =        0.5553675E-02 iter. number =   100 denomin. =        0.3983856E+02

  global error =        0.4132156E-02 iter. number =   200 denomin. =        0.4149161E+02

  global error =        0.3654174E-02 iter. number =   300 denomin. =        0.4342887E+02

  global error =        0.3170878E-02 iter. number =   400 denomin. =        0.4505741E+02

  global error =        0.2731374E-02 iter. number =   500 denomin. =        0.4627823E+02

  global error =        0.1887089E-02 iter. number =   600 denomin. =        0.4496283E+02

  global error =        0.1109543E-02 iter. number =   700 denomin. =        0.4047152E+02

  global error =        0.9589964E-03 iter. number =   800 denomin. =        0.3553616E+02

  global error =        0.8692248E-03 iter. number =   900 denomin. =        0.3201527E+02

  global error =        0.7405278E-03 iter. number =  1000 denomin. =        0.2976481E+02

  global error =        0.4822552E-03 iter. number =  1100 denomin. =        0.2890336E+02

  global error =        0.3261592E-03 iter. number =  1200 denomin. =        0.2934652E+02

  global error =        0.2598134E-03 iter. number =  1300 denomin. =        0.3005116E+02

  global error =        0.2189137E-03 iter. number =  1400 denomin. =        0.3051126E+02

  global error =        0.1734906E-03 iter. number =  1500 denomin. =        0.3079307E+02

  global error =        0.1194458E-03 iter. number =  1600 denomin. =        0.3090419E+02

  global error =        0.1035515E-03 iter. number =  1700 denomin. =        0.3081394E+02

  convergence  for freq. #   118 achieved in  1719 inner iterations 
 relative error value =       0.99858125E-04


  frequency number   117 frequency :       0.87375000E+00
 jw  real sour, imag sour =    117     -0.15663E+00     -0.39366E+00

  global error =        0.4791441E-02 iter. number =   100 denomin. =        0.3143052E+02

  global error =        0.3193227E-02 iter. number =   200 denomin. =        0.3091340E+02

  global error =        0.2648085E-02 iter. number =   300 denomin. =        0.3130007E+02

  global error =        0.1851969E-02 iter. number =   400 denomin. =        0.3298883E+02

  global error =        0.1137074E-02 iter. number =   500 denomin. =        0.3605102E+02

  global error =        0.9659349E-03 iter. number =   600 denomin. =        0.4023335E+02

  global error =        0.6261481E-03 iter. number =   700 denomin. =        0.4397915E+02

  global error =        0.5133802E-03 iter. number =   800 denomin. =        0.4732223E+02

  global error =        0.3919595E-03 iter. number =   900 denomin. =        0.5005485E+02

  global error =        0.3289591E-03 iter. number =  1000 denomin. =        0.5230084E+02

  global error =        0.2869809E-03 iter. number =  1100 denomin. =        0.5455602E+02

  global error =        0.1857914E-03 iter. number =  1200 denomin. =        0.5622926E+02

  global error =        0.1544911E-03 iter. number =  1300 denomin. =        0.5749753E+02

  global error =        0.1189246E-03 iter. number =  1400 denomin. =        0.5848379E+02

  global error =        0.1083026E-03 iter. number =  1500 denomin. =        0.5922530E+02

  convergence  for freq. #   117 achieved in  1566 inner iterations 
 relative error value =       0.99804337E-04


  frequency number   116 frequency :       0.86625000E+00
 jw  real sour, imag sour =    116     -0.12600E+00     -0.41538E+00

  global error =        0.5931929E-02 iter. number =   100 denomin. =        0.6242227E+02

  global error =        0.4482742E-02 iter. number =   200 denomin. =        0.6293320E+02

  global error =        0.4152457E-02 iter. number =   300 denomin. =        0.6152152E+02

  global error =        0.3877367E-02 iter. number =   400 denomin. =        0.5818812E+02

  global error =        0.3477770E-02 iter. number =   500 denomin. =        0.5244106E+02

  global error =        0.2412608E-02 iter. number =   600 denomin. =        0.4495709E+02

  global error =        0.1730126E-02 iter. number =   700 denomin. =        0.3799957E+02

  global error =        0.1801022E-02 iter. number =   800 denomin. =        0.3182295E+02

  global error =        0.1730033E-02 iter. number =   900 denomin. =        0.2764736E+02

  global error =        0.1381934E-02 iter. number =  1000 denomin. =        0.2660544E+02

  global error =        0.8294727E-03 iter. number =  1100 denomin. =        0.2752448E+02

  global error =        0.6090826E-03 iter. number =  1200 denomin. =        0.2880634E+02

  global error =        0.5686238E-03 iter. number =  1300 denomin. =        0.3007520E+02

  global error =        0.4879971E-03 iter. number =  1400 denomin. =        0.3086010E+02

  global error =        0.3687604E-03 iter. number =  1500 denomin. =        0.3097136E+02

  global error =        0.2346347E-03 iter. number =  1600 denomin. =        0.3077535E+02

  global error =        0.1879811E-03 iter. number =  1700 denomin. =        0.3041792E+02

  global error =        0.1695713E-03 iter. number =  1800 denomin. =        0.2997714E+02

  global error =        0.1450884E-03 iter. number =  1900 denomin. =        0.2969187E+02

  global error =        0.1127618E-03 iter. number =  2000 denomin. =        0.2960418E+02

  convergence  for freq. #   116 achieved in  2034 inner iterations 
 relative error value =       0.99878344E-04


  frequency number   115 frequency :       0.85875000E+00
 jw  real sour, imag sour =    115     -0.92836E-01     -0.43476E+00

  global error =        0.4677228E-02 iter. number =   100 denomin. =        0.3133411E+02

  global error =        0.3088480E-02 iter. number =   200 denomin. =        0.3381078E+02

  global error =        0.2630223E-02 iter. number =   300 denomin. =        0.3751437E+02

  global error =        0.1969310E-02 iter. number =   400 denomin. =        0.4214458E+02

  global error =        0.1631831E-02 iter. number =   500 denomin. =        0.4840837E+02

  global error =        0.1304165E-02 iter. number =   600 denomin. =        0.5493331E+02

  global error =        0.8762012E-03 iter. number =   700 denomin. =        0.6086219E+02

  global error =        0.7140477E-03 iter. number =   800 denomin. =        0.6576829E+02

  global error =        0.5333088E-03 iter. number =   900 denomin. =        0.6951962E+02

  global error =        0.4833158E-03 iter. number =  1000 denomin. =        0.7268436E+02

  global error =        0.3798211E-03 iter. number =  1100 denomin. =        0.7528439E+02

  global error =        0.2963794E-03 iter. number =  1200 denomin. =        0.7736125E+02

  global error =        0.2439295E-03 iter. number =  1300 denomin. =        0.7876427E+02

  global error =        0.1921415E-03 iter. number =  1400 denomin. =        0.7969868E+02

  global error =        0.1730688E-03 iter. number =  1500 denomin. =        0.8034242E+02

  global error =        0.1328187E-03 iter. number =  1600 denomin. =        0.8076961E+02

  global error =        0.1115592E-03 iter. number =  1700 denomin. =        0.8103748E+02

  convergence  for freq. #   115 achieved in  1759 inner iterations 
 relative error value =       0.99977701E-04


  frequency number   114 frequency :       0.85125000E+00
 jw  real sour, imag sour =    114     -0.57298E-01     -0.45152E+00

  global error =        0.6310969E-02 iter. number =   100 denomin. =        0.8179923E+02

  global error =        0.4710318E-02 iter. number =   200 denomin. =        0.7638060E+02

  global error =        0.4449068E-02 iter. number =   300 denomin. =        0.6961088E+02

  global error =        0.4326505E-02 iter. number =   400 denomin. =        0.6102692E+02

  global error =        0.3873915E-02 iter. number =   500 denomin. =        0.4949396E+02

  global error =        0.2753954E-02 iter. number =   600 denomin. =        0.4257301E+02

  global error =        0.2417437E-02 iter. number =   700 denomin. =        0.4134352E+02

  global error =        0.2121327E-02 iter. number =   800 denomin. =        0.4350856E+02

  global error =        0.1782196E-02 iter. number =   900 denomin. =        0.4839377E+02

  global error =        0.1306798E-02 iter. number =  1000 denomin. =        0.5294107E+02

  global error =        0.9146227E-03 iter. number =  1100 denomin. =        0.5403620E+02

  global error =        0.8290349E-03 iter. number =  1200 denomin. =        0.5198802E+02

  global error =        0.7307726E-03 iter. number =  1300 denomin. =        0.4904195E+02

  global error =        0.6601807E-03 iter. number =  1400 denomin. =        0.4672687E+02

  global error =        0.5058220E-03 iter. number =  1500 denomin. =        0.4585160E+02

  global error =        0.3858941E-03 iter. number =  1600 denomin. =        0.4628780E+02

  global error =        0.3294983E-03 iter. number =  1700 denomin. =        0.4725716E+02

  global error =        0.2721200E-03 iter. number =  1800 denomin. =        0.4789925E+02

  global error =        0.2385740E-03 iter. number =  1900 denomin. =        0.4794481E+02

  global error =        0.1825805E-03 iter. number =  2000 denomin. =        0.4761400E+02

  global error =        0.1495827E-03 iter. number =  2100 denomin. =        0.4718985E+02

  global error =        0.1237330E-03 iter. number =  2200 denomin. =        0.4691217E+02

  global error =        0.1030302E-03 iter. number =  2300 denomin. =        0.4694510E+02

  convergence  for freq. #   114 achieved in  2327 inner iterations 
 relative error value =       0.99983155E-04


  frequency number   113 frequency :       0.84375000E+00
 jw  real sour, imag sour =    113     -0.19593E-01     -0.46539E+00

  global error =        0.5044930E-02 iter. number =   100 denomin. =        0.5007707E+02

  global error =        0.3638413E-02 iter. number =   200 denomin. =        0.5395015E+02

  global error =        0.3257121E-02 iter. number =   300 denomin. =        0.5917022E+02

  global error =        0.2688952E-02 iter. number =   400 denomin. =        0.6588273E+02

  global error =        0.2303389E-02 iter. number =   500 denomin. =        0.7441279E+02

  global error =        0.1753437E-02 iter. number =   600 denomin. =        0.8070063E+02

  global error =        0.1191558E-02 iter. number =   700 denomin. =        0.8248077E+02

  global error =        0.1019697E-02 iter. number =   800 denomin. =        0.8067277E+02

  global error =        0.8132907E-03 iter. number =   900 denomin. =        0.7765586E+02

  global error =        0.7100028E-03 iter. number =  1000 denomin. =        0.7454173E+02

  global error =        0.5682568E-03 iter. number =  1100 denomin. =        0.7046836E+02

  global error =        0.4692905E-03 iter. number =  1200 denomin. =        0.6635327E+02

  global error =        0.3937122E-03 iter. number =  1300 denomin. =        0.6269390E+02

  global error =        0.2903548E-03 iter. number =  1400 denomin. =        0.6017631E+02

  global error =        0.2477002E-03 iter. number =  1500 denomin. =        0.5860554E+02

  global error =        0.2069040E-03 iter. number =  1600 denomin. =        0.5767063E+02

  global error =        0.1798534E-03 iter. number =  1700 denomin. =        0.5732133E+02

  global error =        0.1358462E-03 iter. number =  1800 denomin. =        0.5740703E+02

  convergence  for freq. #   113 achieved in  1878 inner iterations 
 relative error value =       0.99914224E-04


  frequency number   112 frequency :       0.83625000E+00
 jw  real sour, imag sour =    112      0.20044E-01     -0.47612E+00

  global error =        0.5273605E-02 iter. number =   100 denomin. =        0.5954686E+02

  global error =        0.3492241E-02 iter. number =   200 denomin. =        0.5799692E+02

  global error =        0.3047522E-02 iter. number =   300 denomin. =        0.5515369E+02

  global error =        0.2543187E-02 iter. number =   400 denomin. =        0.5198783E+02

  global error =        0.1735212E-02 iter. number =   500 denomin. =        0.4924584E+02

  global error =        0.1197444E-02 iter. number =   600 denomin. =        0.5142789E+02

  global error =        0.1119056E-02 iter. number =   700 denomin. =        0.5651200E+02

  global error =        0.8738746E-03 iter. number =   800 denomin. =        0.6082490E+02

  global error =        0.6764087E-03 iter. number =   900 denomin. =        0.6260193E+02

  global error =        0.5241716E-03 iter. number =  1000 denomin. =        0.6151801E+02

  global error =        0.4508292E-03 iter. number =  1100 denomin. =        0.6038728E+02

  global error =        0.3992857E-03 iter. number =  1200 denomin. =        0.6035252E+02

  global error =        0.2821737E-03 iter. number =  1300 denomin. =        0.6081797E+02

  global error =        0.2273168E-03 iter. number =  1400 denomin. =        0.6099528E+02

  global error =        0.1996551E-03 iter. number =  1500 denomin. =        0.6057860E+02

  global error =        0.1769256E-03 iter. number =  1600 denomin. =        0.5971456E+02

  global error =        0.1388452E-03 iter. number =  1700 denomin. =        0.5909155E+02

  convergence  for freq. #   112 achieved in  1786 inner iterations 
 relative error value =       0.99741521E-04


  frequency number   111 frequency :       0.82875000E+00
 jw  real sour, imag sour =    111      0.61352E-01     -0.48347E+00

  global error =        0.5263106E-02 iter. number =   100 denomin. =        0.6102517E+02

  global error =        0.3938858E-02 iter. number =   200 denomin. =        0.6542158E+02

  global error =        0.3488651E-02 iter. number =   300 denomin. =        0.7211706E+02

  global error =        0.3014856E-02 iter. number =   400 denomin. =        0.7947502E+02

  global error =        0.2691489E-02 iter. number =   500 denomin. =        0.8738742E+02

  global error =        0.1829864E-02 iter. number =   600 denomin. =        0.9109992E+02

  global error =        0.1027286E-02 iter. number =   700 denomin. =        0.8942759E+02

  global error =        0.9188948E-03 iter. number =   800 denomin. =        0.8448727E+02

  global error =        0.9026392E-03 iter. number =   900 denomin. =        0.7842139E+02

  global error =        0.8329301E-03 iter. number =  1000 denomin. =        0.7192453E+02

  global error =        0.5302136E-03 iter. number =  1100 denomin. =        0.6683487E+02

  global error =        0.3247232E-03 iter. number =  1200 denomin. =        0.6416989E+02

  global error =        0.3020842E-03 iter. number =  1300 denomin. =        0.6242493E+02

  global error =        0.2963943E-03 iter. number =  1400 denomin. =        0.6106969E+02

  global error =        0.2462303E-03 iter. number =  1500 denomin. =        0.6038702E+02

  global error =        0.1493351E-03 iter. number =  1600 denomin. =        0.6028774E+02

  global error =        0.1130899E-03 iter. number =  1700 denomin. =        0.6037630E+02

  convergence  for freq. #   111 achieved in  1778 inner iterations 
 relative error value =       0.99985185E-04


  frequency number   110 frequency :       0.82125000E+00
 jw  real sour, imag sour =    110      0.10404E+00     -0.48724E+00

  global error =        0.5069483E-02 iter. number =   100 denomin. =        0.6188832E+02

  global error =        0.3585522E-02 iter. number =   200 denomin. =        0.6024760E+02

  global error =        0.3136931E-02 iter. number =   300 denomin. =        0.6038203E+02

  global error =        0.2195302E-02 iter. number =   400 denomin. =        0.6245879E+02

  global error =        0.1202214E-02 iter. number =   500 denomin. =        0.6680331E+02

  global error =        0.9361397E-03 iter. number =   600 denomin. =        0.7397377E+02

  global error =        0.7644376E-03 iter. number =   700 denomin. =        0.8137421E+02

  global error =        0.6813151E-03 iter. number =   800 denomin. =        0.8878121E+02

  global error =        0.4796405E-03 iter. number =   900 denomin. =        0.9447202E+02

  global error =        0.3097818E-03 iter. number =  1000 denomin. =        0.9852017E+02

  global error =        0.2649687E-03 iter. number =  1100 denomin. =        0.1023938E+03

  global error =        0.2205752E-03 iter. number =  1200 denomin. =        0.1054960E+03

  global error =        0.2009863E-03 iter. number =  1300 denomin. =        0.1083559E+03

  global error =        0.1386186E-03 iter. number =  1400 denomin. =        0.1106111E+03

  global error =        0.1020590E-03 iter. number =  1500 denomin. =        0.1121209E+03

  convergence  for freq. #   110 achieved in  1520 inner iterations 
 relative error value =       0.99963604E-04


  frequency number   109 frequency :       0.81375000E+00
 jw  real sour, imag sour =    109      0.14780E+00     -0.48723E+00

  global error =        0.5983129E-02 iter. number =   100 denomin. =        0.1178205E+03

  global error =        0.4574774E-02 iter. number =   200 denomin. =        0.1174341E+03

  global error =        0.4201803E-02 iter. number =   300 denomin. =        0.1119810E+03

  global error =        0.3897468E-02 iter. number =   400 denomin. =        0.1040964E+03

  global error =        0.3500001E-02 iter. number =   500 denomin. =        0.9349513E+02

  global error =        0.2576871E-02 iter. number =   600 denomin. =        0.7709590E+02

  global error =        0.2047121E-02 iter. number =   700 denomin. =        0.6082726E+02

  global error =        0.2018452E-02 iter. number =   800 denomin. =        0.4933153E+02

  global error =        0.1853069E-02 iter. number =   900 denomin. =        0.4375507E+02

  global error =        0.1462605E-02 iter. number =  1000 denomin. =        0.4352841E+02

  global error =        0.9326270E-03 iter. number =  1100 denomin. =        0.4680939E+02

  global error =        0.7119186E-03 iter. number =  1200 denomin. =        0.5023015E+02

  global error =        0.6136902E-03 iter. number =  1300 denomin. =        0.5257601E+02

  global error =        0.5080519E-03 iter. number =  1400 denomin. =        0.5373222E+02

  global error =        0.3811047E-03 iter. number =  1500 denomin. =        0.5345760E+02

  global error =        0.2644804E-03 iter. number =  1600 denomin. =        0.5214705E+02

  global error =        0.2240540E-03 iter. number =  1700 denomin. =        0.5084632E+02

  global error =        0.1956832E-03 iter. number =  1800 denomin. =        0.4997651E+02

  global error =        0.1582747E-03 iter. number =  1900 denomin. =        0.4958721E+02

  global error =        0.1148053E-03 iter. number =  2000 denomin. =        0.4970587E+02

  convergence  for freq. #   109 achieved in  2039 inner iterations 
 relative error value =       0.99718292E-04


  frequency number   108 frequency :       0.80625000E+00
 jw  real sour, imag sour =    108      0.19229E+00     -0.48328E+00

  global error =        0.4450088E-02 iter. number =   100 denomin. =        0.5261325E+02

  global error =        0.2819207E-02 iter. number =   200 denomin. =        0.5642337E+02

  global error =        0.2273972E-02 iter. number =   300 denomin. =        0.6230443E+02

  global error =        0.1723716E-02 iter. number =   400 denomin. =        0.6950957E+02

  global error =        0.1487557E-02 iter. number =   500 denomin. =        0.7893528E+02

  global error =        0.1164082E-02 iter. number =   600 denomin. =        0.8892198E+02

  global error =        0.8209628E-03 iter. number =   700 denomin. =        0.9819802E+02

  global error =        0.6276102E-03 iter. number =   800 denomin. =        0.1066427E+03

  global error =        0.4333564E-03 iter. number =   900 denomin. =        0.1132219E+03

  global error =        0.3865090E-03 iter. number =  1000 denomin. =        0.1190921E+03

  global error =        0.2993777E-03 iter. number =  1100 denomin. =        0.1242072E+03

  global error =        0.2433188E-03 iter. number =  1200 denomin. =        0.1285459E+03

  global error =        0.1890076E-03 iter. number =  1300 denomin. =        0.1321221E+03

  global error =        0.1402721E-03 iter. number =  1400 denomin. =        0.1348425E+03

  global error =        0.1245056E-03 iter. number =  1500 denomin. =        0.1372346E+03

  convergence  for freq. #   108 achieved in  1579 inner iterations 
 relative error value =       0.99983399E-04


  frequency number   107 frequency :       0.79875000E+00
 jw  real sour, imag sour =    107      0.23715E+00     -0.47527E+00

  global error =        0.6053433E-02 iter. number =   100 denomin. =        0.1399186E+03

  global error =        0.4706258E-02 iter. number =   200 denomin. =        0.1355080E+03

  global error =        0.4409040E-02 iter. number =   300 denomin. =        0.1301707E+03

  global error =        0.4088403E-02 iter. number =   400 denomin. =        0.1204322E+03

  global error =        0.3537432E-02 iter. number =   500 denomin. =        0.1053342E+03

  global error =        0.2461678E-02 iter. number =   600 denomin. =        0.9337234E+02

  global error =        0.1964327E-02 iter. number =   700 denomin. =        0.8669362E+02

  global error =        0.1738238E-02 iter. number =   800 denomin. =        0.8349474E+02

  global error =        0.1499649E-02 iter. number =   900 denomin. =        0.8558066E+02

  global error =        0.1189622E-02 iter. number =  1000 denomin. =        0.9113577E+02

  global error =        0.8601699E-03 iter. number =  1100 denomin. =        0.9623486E+02

  global error =        0.6777955E-03 iter. number =  1200 denomin. =        0.9865334E+02

  global error =        0.5304736E-03 iter. number =  1300 denomin. =        0.9813028E+02

  global error =        0.4470646E-03 iter. number =  1400 denomin. =        0.9549398E+02

  global error =        0.3764839E-03 iter. number =  1500 denomin. =        0.9258375E+02

  global error =        0.3086723E-03 iter. number =  1600 denomin. =        0.9072884E+02

  global error =        0.2482039E-03 iter. number =  1700 denomin. =        0.9018685E+02

  global error =        0.1884163E-03 iter. number =  1800 denomin. =        0.9063897E+02

  global error =        0.1531971E-03 iter. number =  1900 denomin. =        0.9147094E+02

  global error =        0.1253952E-03 iter. number =  2000 denomin. =        0.9214315E+02

  global error =        0.1039965E-03 iter. number =  2100 denomin. =        0.9238663E+02

  convergence  for freq. #   107 achieved in  2121 inner iterations 
 relative error value =       0.99869918E-04


  frequency number   106 frequency :       0.79125000E+00
 jw  real sour, imag sour =    106      0.28200E+00     -0.46309E+00

  global error =        0.5261672E-02 iter. number =   100 denomin. =        0.9686755E+02

  global error =        0.3816978E-02 iter. number =   200 denomin. =        0.1014719E+03

  global error =        0.3348551E-02 iter. number =   300 denomin. =        0.1088396E+03

  global error =        0.2635275E-02 iter. number =   400 denomin. =        0.1183211E+03

  global error =        0.2180577E-02 iter. number =   500 denomin. =        0.1283446E+03

  global error =        0.1676697E-02 iter. number =   600 denomin. =        0.1331855E+03

  global error =        0.1162444E-02 iter. number =   700 denomin. =        0.1304354E+03

  global error =        0.9527704E-03 iter. number =   800 denomin. =        0.1234277E+03

  global error =        0.6652061E-03 iter. number =   900 denomin. =        0.1156927E+03

  global error =        0.5305713E-03 iter. number =  1000 denomin. =        0.1094783E+03

  global error =        0.4475348E-03 iter. number =  1100 denomin. =        0.1040022E+03

  global error =        0.3719262E-03 iter. number =  1200 denomin. =        0.9971548E+02

  global error =        0.2967439E-03 iter. number =  1300 denomin. =        0.9689545E+02

  global error =        0.1891826E-03 iter. number =  1400 denomin. =        0.9573814E+02

  global error =        0.1403797E-03 iter. number =  1500 denomin. =        0.9569377E+02

  global error =        0.1157377E-03 iter. number =  1600 denomin. =        0.9618994E+02

  convergence  for freq. #   106 achieved in  1697 inner iterations 
 relative error value =       0.99999876E-04


  frequency number   105 frequency :       0.78375000E+00
 jw  real sour, imag sour =    105      0.32646E+00     -0.44669E+00

  global error =        0.4952238E-02 iter. number =   100 denomin. =        0.9936966E+02

  global error =        0.3211069E-02 iter. number =   200 denomin. =        0.9601285E+02

  global error =        0.2586441E-02 iter. number =   300 denomin. =        0.9090954E+02

  global error =        0.1987451E-02 iter. number =   400 denomin. =        0.8699850E+02

  global error =        0.1241263E-02 iter. number =   500 denomin. =        0.8550493E+02

  global error =        0.8134618E-03 iter. number =   600 denomin. =        0.8988457E+02

  global error =        0.6845664E-03 iter. number =   700 denomin. =        0.9533306E+02

  global error =        0.4831718E-03 iter. number =   800 denomin. =        0.9883844E+02

  global error =        0.3772437E-03 iter. number =   900 denomin. =        0.9994573E+02

  global error =        0.2825022E-03 iter. number =  1000 denomin. =        0.9971607E+02

  global error =        0.2341891E-03 iter. number =  1100 denomin. =        0.9990723E+02

  global error =        0.1883616E-03 iter. number =  1200 denomin. =        0.1007931E+03

  global error =        0.1145806E-03 iter. number =  1300 denomin. =        0.1013740E+03

  convergence  for freq. #   105 achieved in  1345 inner iterations 
 relative error value =       0.99861853E-04


  frequency number   104 frequency :       0.77625000E+00
 jw  real sour, imag sour =    104      0.37012E+00     -0.42604E+00

  global error =        0.5014440E-02 iter. number =   100 denomin. =        0.1026700E+03

  global error =        0.3846038E-02 iter. number =   200 denomin. =        0.1071501E+03

  global error =        0.3334507E-02 iter. number =   300 denomin. =        0.1143767E+03

  global error =        0.2769657E-02 iter. number =   400 denomin. =        0.1207079E+03

  global error =        0.2312756E-02 iter. number =   500 denomin. =        0.1235164E+03

  global error =        0.1512979E-02 iter. number =   600 denomin. =        0.1214937E+03

  global error =        0.8475950E-03 iter. number =   700 denomin. =        0.1151980E+03

  global error =        0.6867181E-03 iter. number =   800 denomin. =        0.1067004E+03

  global error =        0.6076613E-03 iter. number =   900 denomin. =        0.9945297E+02

  global error =        0.5046751E-03 iter. number =  1000 denomin. =        0.9414768E+02

  global error =        0.3275871E-03 iter. number =  1100 denomin. =        0.9139848E+02

  global error =        0.1947000E-03 iter. number =  1200 denomin. =        0.9074142E+02

  global error =        0.1504072E-03 iter. number =  1300 denomin. =        0.9121746E+02

  global error =        0.1244569E-03 iter. number =  1400 denomin. =        0.9202689E+02

  convergence  for freq. #   104 achieved in  1478 inner iterations 
 relative error value =       0.99915921E-04


  frequency number   103 frequency :       0.76875000E+00
 jw  real sour, imag sour =    103      0.41257E+00     -0.40116E+00

  global error =        0.4585702E-02 iter. number =   100 denomin. =        0.9690203E+02

  global error =        0.3400811E-02 iter. number =   200 denomin. =        0.1002138E+03

  global error =        0.2737870E-02 iter. number =   300 denomin. =        0.1069966E+03

  global error =        0.1903991E-02 iter. number =   400 denomin. =        0.1159120E+03

  global error =        0.1242018E-02 iter. number =   500 denomin. =        0.1252705E+03

  global error =        0.7835171E-03 iter. number =   600 denomin. =        0.1319294E+03

  global error =        0.4814236E-03 iter. number =   700 denomin. =        0.1360525E+03

  global error =        0.3805838E-03 iter. number =   800 denomin. =        0.1379584E+03

  global error =        0.3063724E-03 iter. number =   900 denomin. =        0.1390988E+03

  global error =        0.2289295E-03 iter. number =  1000 denomin. =        0.1396892E+03

  global error =        0.1532771E-03 iter. number =  1100 denomin. =        0.1396151E+03

  global error =        0.1022536E-03 iter. number =  1200 denomin. =        0.1391996E+03

  convergence  for freq. #   103 achieved in  1206 inner iterations 
 relative error value =       0.99759047E-04


  frequency number   102 frequency :       0.76125000E+00
 jw  real sour, imag sour =    102      0.45340E+00     -0.37210E+00

  global error =        0.5097236E-02 iter. number =   100 denomin. =        0.1399429E+03

  global error =        0.3846353E-02 iter. number =   200 denomin. =        0.1298835E+03

  global error =        0.3247507E-02 iter. number =   300 denomin. =        0.1167944E+03

  global error =        0.2474625E-02 iter. number =   400 denomin. =        0.1033545E+03

  global error =        0.1783715E-02 iter. number =   500 denomin. =        0.9347732E+02

  global error =        0.1207221E-02 iter. number =   600 denomin. =        0.9103307E+02

  global error =        0.8854625E-03 iter. number =   700 denomin. =        0.9467568E+02

  global error =        0.6706186E-03 iter. number =   800 denomin. =        0.1002825E+03

  global error =        0.4369513E-03 iter. number =   900 denomin. =        0.1039159E+03

  global error =        0.2919503E-03 iter. number =  1000 denomin. =        0.1046178E+03

  global error =        0.2144209E-03 iter. number =  1100 denomin. =        0.1033496E+03

  global error =        0.1630181E-03 iter. number =  1200 denomin. =        0.1018949E+03

  global error =        0.1255678E-03 iter. number =  1300 denomin. =        0.1011122E+03

  convergence  for freq. #   102 achieved in  1361 inner iterations 
 relative error value =       0.99598890E-04


  frequency number   101 frequency :       0.75375000E+00
 jw  real sour, imag sour =    101      0.49220E+00     -0.33896E+00

  global error =        0.4272646E-02 iter. number =   100 denomin. =        0.1056945E+03

  global error =        0.3375279E-02 iter. number =   200 denomin. =        0.1125420E+03

  global error =        0.2750344E-02 iter. number =   300 denomin. =        0.1207869E+03

  global error =        0.2099339E-02 iter. number =   400 denomin. =        0.1284989E+03

  global error =        0.1620793E-02 iter. number =   500 denomin. =        0.1340447E+03

  global error =        0.1008667E-02 iter. number =   600 denomin. =        0.1358715E+03

  global error =        0.5434779E-03 iter. number =   700 denomin. =        0.1340732E+03

  global error =        0.3881228E-03 iter. number =   800 denomin. =        0.1292917E+03

  global error =        0.3034259E-03 iter. number =   900 denomin. =        0.1246475E+03

  global error =        0.2529437E-03 iter. number =  1000 denomin. =        0.1211404E+03

  global error =        0.1654854E-03 iter. number =  1100 denomin. =        0.1192315E+03

  global error =        0.9973746E-04 iter. number =  1200 denomin. =        0.1186633E+03

  convergence  for freq. #   101 achieved in  1200 inner iterations 
 relative error value =       0.99737460E-04


  frequency number   100 frequency :       0.74625000E+00
 jw  real sour, imag sour =    100      0.52854E+00     -0.30187E+00

  global error =        0.4507109E-02 iter. number =   100 denomin. =        0.1261829E+03

  global error =        0.3252230E-02 iter. number =   200 denomin. =        0.1316847E+03

  global error =        0.2495899E-02 iter. number =   300 denomin. =        0.1385825E+03

  global error =        0.1731228E-02 iter. number =   400 denomin. =        0.1489006E+03

  global error =        0.1130562E-02 iter. number =   500 denomin. =        0.1625738E+03

  global error =        0.8938649E-03 iter. number =   600 denomin. =        0.1764546E+03

  global error =        0.6380608E-03 iter. number =   700 denomin. =        0.1891287E+03

  global error =        0.4358638E-03 iter. number =   800 denomin. =        0.1974916E+03

  global error =        0.2772005E-03 iter. number =   900 denomin. =        0.2026624E+03

  global error =        0.1652611E-03 iter. number =  1000 denomin. =        0.2056960E+03

  global error =        0.1334212E-03 iter. number =  1100 denomin. =        0.2080184E+03

  global error =        0.1013663E-03 iter. number =  1200 denomin. =        0.2098853E+03

  convergence  for freq. #   100 achieved in  1205 inner iterations 
 relative error value =       0.99747164E-04


  frequency number    99 frequency :       0.73875000E+00
 jw  real sour, imag sour =     99      0.56204E+00     -0.26102E+00

  global error =        0.5693576E-02 iter. number =   100 denomin. =        0.2163955E+03

  global error =        0.4303028E-02 iter. number =   200 denomin. =        0.2129064E+03

  global error =        0.3812168E-02 iter. number =   300 denomin. =        0.2047300E+03

  global error =        0.3279277E-02 iter. number =   400 denomin. =        0.1901779E+03

  global error =        0.2583111E-02 iter. number =   500 denomin. =        0.1698106E+03

  global error =        0.1701008E-02 iter. number =   600 denomin. =        0.1535650E+03

  global error =        0.9708040E-03 iter. number =   700 denomin. =        0.1487337E+03

  global error =        0.8102685E-03 iter. number =   800 denomin. =        0.1509313E+03

  global error =        0.6892362E-03 iter. number =   900 denomin. =        0.1558779E+03

  global error =        0.5192792E-03 iter. number =  1000 denomin. =        0.1609572E+03

  global error =        0.3432463E-03 iter. number =  1100 denomin. =        0.1628761E+03

  global error =        0.2277775E-03 iter. number =  1200 denomin. =        0.1608650E+03

  global error =        0.1937646E-03 iter. number =  1300 denomin. =        0.1578620E+03

  global error =        0.1549998E-03 iter. number =  1400 denomin. =        0.1557252E+03

  global error =        0.1117462E-03 iter. number =  1500 denomin. =        0.1547699E+03

  convergence  for freq. #    99 achieved in  1536 inner iterations 
 relative error value =       0.99792429E-04


  frequency number    98 frequency :       0.73125000E+00
 jw  real sour, imag sour =     98      0.59229E+00     -0.21662E+00

  global error =        0.4881145E-02 iter. number =   100 denomin. =        0.1590891E+03

  global error =        0.3568455E-02 iter. number =   200 denomin. =        0.1640759E+03

  global error =        0.3059640E-02 iter. number =   300 denomin. =        0.1743262E+03

  global error =        0.2384384E-02 iter. number =   400 denomin. =        0.1886402E+03

  global error =        0.2004046E-02 iter. number =   500 denomin. =        0.2068938E+03

  global error =        0.1524925E-02 iter. number =   600 denomin. =        0.2218226E+03

  global error =        0.8774810E-03 iter. number =   700 denomin. =        0.2298967E+03

  global error =        0.6791472E-03 iter. number =   800 denomin. =        0.2322796E+03

  global error =        0.5297244E-03 iter. number =   900 denomin. =        0.2322395E+03

  global error =        0.4366680E-03 iter. number =  1000 denomin. =        0.2311316E+03

  global error =        0.3342723E-03 iter. number =  1100 denomin. =        0.2287993E+03

  global error =        0.1938348E-03 iter. number =  1200 denomin. =        0.2260447E+03

  global error =        0.1506821E-03 iter. number =  1300 denomin. =        0.2228192E+03

  global error =        0.1237441E-03 iter. number =  1400 denomin. =        0.2198416E+03

  global error =        0.1059852E-03 iter. number =  1500 denomin. =        0.2172083E+03

  convergence  for freq. #    98 achieved in  1527 inner iterations 
 relative error value =       0.99945974E-04


  frequency number    97 frequency :       0.72375000E+00
 jw  real sour, imag sour =     97      0.61894E+00     -0.16895E+00

  global error =        0.5689287E-02 iter. number =   100 denomin. =        0.2226107E+03

  global error =        0.4023008E-02 iter. number =   200 denomin. =        0.2087533E+03

  global error =        0.3502324E-02 iter. number =   300 denomin. =        0.1897355E+03

  global error =        0.2698784E-02 iter. number =   400 denomin. =        0.1773762E+03

  global error =        0.1576074E-02 iter. number =   500 denomin. =        0.1692608E+03

  global error =        0.9611856E-03 iter. number =   600 denomin. =        0.1703742E+03

  global error =        0.7763299E-03 iter. number =   700 denomin. =        0.1820504E+03

  global error =        0.6707524E-03 iter. number =   800 denomin. =        0.1948189E+03

  global error =        0.4972466E-03 iter. number =   900 denomin. =        0.2055268E+03

  global error =        0.2689226E-03 iter. number =  1000 denomin. =        0.2105965E+03

  global error =        0.1920558E-03 iter. number =  1100 denomin. =        0.2118525E+03

  global error =        0.1635039E-03 iter. number =  1200 denomin. =        0.2119702E+03

  global error =        0.1468256E-03 iter. number =  1300 denomin. =        0.2114909E+03

  global error =        0.1126541E-03 iter. number =  1400 denomin. =        0.2113759E+03

  convergence  for freq. #    97 achieved in  1423 inner iterations 
 relative error value =       0.99422334E-04


  frequency number    96 frequency :       0.71625000E+00
 jw  real sour, imag sour =     96      0.64162E+00     -0.11830E+00

  global error =        0.5777443E-02 iter. number =   100 denomin. =        0.2229232E+03

  global error =        0.4142609E-02 iter. number =   200 denomin. =        0.2392152E+03

  global error =        0.3602155E-02 iter. number =   300 denomin. =        0.2556213E+03

  global error =        0.3145939E-02 iter. number =   400 denomin. =        0.2674512E+03

  global error =        0.2628268E-02 iter. number =   500 denomin. =        0.2746805E+03

  global error =        0.1841152E-02 iter. number =   600 denomin. =        0.2667545E+03

  global error =        0.1041483E-02 iter. number =   700 denomin. =        0.2466357E+03

  global error =        0.9968331E-03 iter. number =   800 denomin. =        0.2203721E+03

  global error =        0.1003606E-02 iter. number =   900 denomin. =        0.1925645E+03

  global error =        0.9065062E-03 iter. number =  1000 denomin. =        0.1694137E+03

  global error =        0.6476439E-03 iter. number =  1100 denomin. =        0.1550994E+03

  global error =        0.4110477E-03 iter. number =  1200 denomin. =        0.1497692E+03

  global error =        0.3558410E-03 iter. number =  1300 denomin. =        0.1490779E+03

  global error =        0.3103084E-03 iter. number =  1400 denomin. =        0.1509947E+03

  global error =        0.2569483E-03 iter. number =  1500 denomin. =        0.1543793E+03

  global error =        0.1823165E-03 iter. number =  1600 denomin. =        0.1576562E+03

  global error =        0.1268263E-03 iter. number =  1700 denomin. =        0.1599198E+03

  global error =        0.1015781E-03 iter. number =  1800 denomin. =        0.1615371E+03

  convergence  for freq. #    96 achieved in  1807 inner iterations 
 relative error value =       0.99980231E-04


  frequency number    95 frequency :       0.70875000E+00
 jw  real sour, imag sour =     95      0.66002E+00     -0.65007E-01

  global error =        0.5294104E-02 iter. number =   100 denomin. =        0.1640447E+03

  global error =        0.3591719E-02 iter. number =   200 denomin. =        0.1659125E+03

  global error =        0.3005008E-02 iter. number =   300 denomin. =        0.1753030E+03

  global error =        0.2148407E-02 iter. number =   400 denomin. =        0.1886174E+03

  global error =        0.1383897E-02 iter. number =   500 denomin. =        0.2088141E+03

  global error =        0.1078615E-02 iter. number =   600 denomin. =        0.2338137E+03

  global error =        0.8885032E-03 iter. number =   700 denomin. =        0.2591686E+03

  global error =        0.7259692E-03 iter. number =   800 denomin. =        0.2832253E+03

  global error =        0.4944462E-03 iter. number =   900 denomin. =        0.3012580E+03

  global error =        0.3457533E-03 iter. number =  1000 denomin. =        0.3144600E+03

  global error =        0.2642264E-03 iter. number =  1100 denomin. =        0.3255758E+03

  global error =        0.2039935E-03 iter. number =  1200 denomin. =        0.3351951E+03

  global error =        0.1825692E-03 iter. number =  1300 denomin. =        0.3439137E+03

  global error =        0.1429684E-03 iter. number =  1400 denomin. =        0.3509961E+03

  global error =        0.1114080E-03 iter. number =  1500 denomin. =        0.3564533E+03

  convergence  for freq. #    95 achieved in  1540 inner iterations 
 relative error value =       0.99877485E-04


  frequency number    94 frequency :       0.70125000E+00
 jw  real sour, imag sour =     94      0.67383E+00     -0.94516E-02

  global error =        0.6198641E-02 iter. number =   100 denomin. =        0.3710747E+03

  global error =        0.4874897E-02 iter. number =   200 denomin. =        0.3602753E+03

  global error =        0.4524137E-02 iter. number =   300 denomin. =        0.3395684E+03

  global error =        0.4109855E-02 iter. number =   400 denomin. =        0.3143300E+03

  global error =        0.3653700E-02 iter. number =   500 denomin. =        0.2804482E+03

  global error =        0.2768783E-02 iter. number =   600 denomin. =        0.2434954E+03

  global error =        0.2323235E-02 iter. number =   700 denomin. =        0.2128717E+03

  global error =        0.2119985E-02 iter. number =   800 denomin. =        0.1960015E+03

  global error =        0.1740160E-02 iter. number =   900 denomin. =        0.2004257E+03

  global error =        0.1392870E-02 iter. number =  1000 denomin. =        0.2170389E+03

  global error =        0.1017337E-02 iter. number =  1100 denomin. =        0.2319136E+03

  global error =        0.8484914E-03 iter. number =  1200 denomin. =        0.2363757E+03

  global error =        0.7017546E-03 iter. number =  1300 denomin. =        0.2323596E+03

  global error =        0.5830010E-03 iter. number =  1400 denomin. =        0.2235534E+03

  global error =        0.4978723E-03 iter. number =  1500 denomin. =        0.2145499E+03

  global error =        0.3937570E-03 iter. number =  1600 denomin. =        0.2098426E+03

  global error =        0.3350660E-03 iter. number =  1700 denomin. =        0.2100608E+03

  global error =        0.2650023E-03 iter. number =  1800 denomin. =        0.2129418E+03

  global error =        0.2173696E-03 iter. number =  1900 denomin. =        0.2163193E+03

  global error =        0.1790298E-03 iter. number =  2000 denomin. =        0.2186542E+03

  global error =        0.1422394E-03 iter. number =  2100 denomin. =        0.2189938E+03

  global error =        0.1211247E-03 iter. number =  2200 denomin. =        0.2177774E+03

  convergence  for freq. #    94 achieved in  2284 inner iterations 
 relative error value =       0.99782028E-04


  frequency number    93 frequency :       0.69375000E+00
 jw  real sour, imag sour =     93      0.68280E+00      0.47960E-01

  global error =        0.5225723E-02 iter. number =   100 denomin. =        0.2300439E+03

  global error =        0.3574264E-02 iter. number =   200 denomin. =        0.2456904E+03

  global error =        0.3027644E-02 iter. number =   300 denomin. =        0.2667341E+03

  global error =        0.2428104E-02 iter. number =   400 denomin. =        0.2936523E+03

  global error =        0.1955367E-02 iter. number =   500 denomin. =        0.3282930E+03

  global error =        0.1504206E-02 iter. number =   600 denomin. =        0.3565156E+03

  global error =        0.8827384E-03 iter. number =   700 denomin. =        0.3670543E+03

  global error =        0.6265478E-03 iter. number =   800 denomin. =        0.3634557E+03

  global error =        0.4585879E-03 iter. number =   900 denomin. =        0.3555036E+03

  global error =        0.3756506E-03 iter. number =  1000 denomin. =        0.3492379E+03

  global error =        0.3031364E-03 iter. number =  1100 denomin. =        0.3408913E+03

  global error =        0.2211185E-03 iter. number =  1200 denomin. =        0.3314517E+03

  global error =        0.1678606E-03 iter. number =  1300 denomin. =        0.3230918E+03

  global error =        0.1086045E-03 iter. number =  1400 denomin. =        0.3177785E+03

  convergence  for freq. #    93 achieved in  1419 inner iterations 
 relative error value =       0.99768246E-04


  frequency number    92 frequency :       0.68625000E+00
 jw  real sour, imag sour =     92      0.68671E+00      0.10679E+00

  global error =        0.6033681E-02 iter. number =   100 denomin. =        0.3181580E+03

  global error =        0.4121026E-02 iter. number =   200 denomin. =        0.3076778E+03

  global error =        0.3609790E-02 iter. number =   300 denomin. =        0.2919759E+03

  global error =        0.3065931E-02 iter. number =   400 denomin. =        0.2711237E+03

  global error =        0.2128151E-02 iter. number =   500 denomin. =        0.2449346E+03

  global error =        0.1283183E-02 iter. number =   600 denomin. =        0.2435021E+03

  global error =        0.1093901E-02 iter. number =   700 denomin. =        0.2663791E+03

  global error =        0.8698395E-03 iter. number =   800 denomin. =        0.2906179E+03

  global error =        0.6890609E-03 iter. number =   900 denomin. =        0.3069428E+03

  global error =        0.4928665E-03 iter. number =  1000 denomin. =        0.3104801E+03

  global error =        0.3743743E-03 iter. number =  1100 denomin. =        0.3050380E+03

  global error =        0.3365694E-03 iter. number =  1200 denomin. =        0.3001340E+03

  global error =        0.2360619E-03 iter. number =  1300 denomin. =        0.2986834E+03

  global error =        0.1635150E-03 iter. number =  1400 denomin. =        0.2985192E+03

  global error =        0.1341575E-03 iter. number =  1500 denomin. =        0.2986417E+03

  global error =        0.1282189E-03 iter. number =  1600 denomin. =        0.2966775E+03

  global error =        0.1061273E-03 iter. number =  1700 denomin. =        0.2936608E+03

  convergence  for freq. #    92 achieved in  1715 inner iterations 
 relative error value =       0.99922954E-04


  frequency number    91 frequency :       0.67875000E+00
 jw  real sour, imag sour =     91      0.68536E+00      0.16658E+00

  global error =        0.5835948E-02 iter. number =   100 denomin. =        0.2983438E+03

  global error =        0.4266672E-02 iter. number =   200 denomin. =        0.3109949E+03

  global error =        0.3794178E-02 iter. number =   300 denomin. =        0.3355155E+03

  global error =        0.3191799E-02 iter. number =   400 denomin. =        0.3648250E+03

  global error =        0.2836497E-02 iter. number =   500 denomin. =        0.4024031E+03

  global error =        0.2016602E-02 iter. number =   600 denomin. =        0.4213289E+03

  global error =        0.1030958E-02 iter. number =   700 denomin. =        0.4117666E+03

  global error =        0.8437795E-03 iter. number =   800 denomin. =        0.3872217E+03

  global error =        0.7661536E-03 iter. number =   900 denomin. =        0.3618080E+03

  global error =        0.6973568E-03 iter. number =  1000 denomin. =        0.3387309E+03

  global error =        0.4543088E-03 iter. number =  1100 denomin. =        0.3195294E+03

  global error =        0.2035965E-03 iter. number =  1200 denomin. =        0.3098951E+03

  global error =        0.1783143E-03 iter. number =  1300 denomin. =        0.3043899E+03

  global error =        0.1830843E-03 iter. number =  1400 denomin. =        0.2994397E+03

  global error =        0.1634809E-03 iter. number =  1500 denomin. =        0.2956101E+03

  convergence  for freq. #    91 achieved in  1599 inner iterations 
 relative error value =       0.99795043E-04


  frequency number    90 frequency :       0.67125000E+00
 jw  real sour, imag sour =     90      0.67863E+00      0.22683E+00

  global error =        0.5742172E-02 iter. number =   100 denomin. =        0.2980877E+03

  global error =        0.3809946E-02 iter. number =   200 denomin. =        0.2829332E+03

  global error =        0.3284837E-02 iter. number =   300 denomin. =        0.2745740E+03

  global error =        0.2331323E-02 iter. number =   400 denomin. =        0.2778967E+03

  global error =        0.1150770E-02 iter. number =   500 denomin. =        0.2928310E+03

  global error =        0.8641184E-03 iter. number =   600 denomin. =        0.3221469E+03

  global error =        0.5947694E-03 iter. number =   700 denomin. =        0.3512551E+03

  global error =        0.5479439E-03 iter. number =   800 denomin. =        0.3802231E+03

  global error =        0.4304827E-03 iter. number =   900 denomin. =        0.4059414E+03

  global error =        0.3160463E-03 iter. number =  1000 denomin. =        0.4246406E+03

  global error =        0.2717580E-03 iter. number =  1100 denomin. =        0.4421446E+03

  global error =        0.1747387E-03 iter. number =  1200 denomin. =        0.4546636E+03

  global error =        0.1580033E-03 iter. number =  1300 denomin. =        0.4640269E+03

  global error =        0.1217069E-03 iter. number =  1400 denomin. =        0.4717573E+03

  global error =        0.1016463E-03 iter. number =  1500 denomin. =        0.4765291E+03

  convergence  for freq. #    90 achieved in  1535 inner iterations 
 relative error value =       0.99939937E-04


  frequency number    89 frequency :       0.66375000E+00
 jw  real sour, imag sour =     89      0.66641E+00      0.28705E+00

  global error =        0.6374945E-02 iter. number =   100 denomin. =        0.4982365E+03

  global error =        0.4580642E-02 iter. number =   200 denomin. =        0.5066355E+03

  global error =        0.4179965E-02 iter. number =   300 denomin. =        0.4988547E+03

  global error =        0.3909662E-02 iter. number =   400 denomin. =        0.4757924E+03

  global error =        0.3525080E-02 iter. number =   500 denomin. =        0.4324673E+03

  global error =        0.2521528E-02 iter. number =   600 denomin. =        0.3688745E+03

  global error =        0.1687146E-02 iter. number =   700 denomin. =        0.3087707E+03

  global error =        0.1739513E-02 iter. number =   800 denomin. =        0.2550572E+03

  global error =        0.1726150E-02 iter. number =   900 denomin. =        0.2129136E+03

  global error =        0.1494513E-02 iter. number =  1000 denomin. =        0.1936723E+03

  global error =        0.9890808E-03 iter. number =  1100 denomin. =        0.1950574E+03

  global error =        0.6928592E-03 iter. number =  1200 denomin. =        0.2045018E+03

  global error =        0.5915222E-03 iter. number =  1300 denomin. =        0.2162893E+03

  global error =        0.4856510E-03 iter. number =  1400 denomin. =        0.2259914E+03

  global error =        0.3937637E-03 iter. number =  1500 denomin. =        0.2305426E+03

  global error =        0.2860537E-03 iter. number =  1600 denomin. =        0.2310080E+03

  global error =        0.2244416E-03 iter. number =  1700 denomin. =        0.2291493E+03

  global error =        0.1762226E-03 iter. number =  1800 denomin. =        0.2256557E+03

  global error =        0.1366427E-03 iter. number =  1900 denomin. =        0.2223265E+03

  global error =        0.1173030E-03 iter. number =  2000 denomin. =        0.2202500E+03

  convergence  for freq. #    89 achieved in  2083 inner iterations 
 relative error value =       0.99874977E-04


  frequency number    88 frequency :       0.65625000E+00
 jw  real sour, imag sour =     88      0.64866E+00      0.34672E+00

  global error =        0.5377560E-02 iter. number =   100 denomin. =        0.2256767E+03

  global error =        0.3528341E-02 iter. number =   200 denomin. =        0.2440932E+03

  global error =        0.2973654E-02 iter. number =   300 denomin. =        0.2756699E+03

  global error =        0.2229453E-02 iter. number =   400 denomin. =        0.3132597E+03

  global error =        0.1698448E-02 iter. number =   500 denomin. =        0.3602837E+03

  global error =        0.1326177E-02 iter. number =   600 denomin. =        0.4052708E+03

  global error =        0.9378118E-03 iter. number =   700 denomin. =        0.4447604E+03

  global error =        0.7833733E-03 iter. number =   800 denomin. =        0.4751963E+03

  global error =        0.5865686E-03 iter. number =   900 denomin. =        0.4938545E+03

  global error =        0.4825507E-03 iter. number =  1000 denomin. =        0.5053682E+03

  global error =        0.3812873E-03 iter. number =  1100 denomin. =        0.5115648E+03

  global error =        0.2979675E-03 iter. number =  1200 denomin. =        0.5157148E+03

  global error =        0.2608755E-03 iter. number =  1300 denomin. =        0.5161204E+03

  global error =        0.2062431E-03 iter. number =  1400 denomin. =        0.5135509E+03

  global error =        0.1740522E-03 iter. number =  1500 denomin. =        0.5096287E+03

  global error =        0.1337898E-03 iter. number =  1600 denomin. =        0.5045892E+03

  global error =        0.1079895E-03 iter. number =  1700 denomin. =        0.4999215E+03

  convergence  for freq. #    88 achieved in  1764 inner iterations 
 relative error value =       0.99991366E-04


  frequency number    87 frequency :       0.64875000E+00
 jw  real sour, imag sour =     87      0.62539E+00      0.40530E+00

  global error =        0.6482766E-02 iter. number =   100 denomin. =        0.4917769E+03

  global error =        0.4721605E-02 iter. number =   200 denomin. =        0.4529454E+03

  global error =        0.4336129E-02 iter. number =   300 denomin. =        0.4123146E+03

  global error =        0.3961828E-02 iter. number =   400 denomin. =        0.3656273E+03

  global error =        0.3329411E-02 iter. number =   500 denomin. =        0.3162632E+03

  global error =        0.2454523E-02 iter. number =   600 denomin. =        0.2943932E+03

  global error =        0.2189204E-02 iter. number =   700 denomin. =        0.3071641E+03

  global error =        0.1807969E-02 iter. number =   800 denomin. =        0.3415917E+03

  global error =        0.1360153E-02 iter. number =   900 denomin. =        0.3772519E+03

  global error =        0.1038001E-02 iter. number =  1000 denomin. =        0.3946342E+03

  global error =        0.8091989E-03 iter. number =  1100 denomin. =        0.3899261E+03

  global error =        0.7386194E-03 iter. number =  1200 denomin. =        0.3720671E+03

  global error =        0.6202356E-03 iter. number =  1300 denomin. =        0.3566034E+03

  global error =        0.5070163E-03 iter. number =  1400 denomin. =        0.3531454E+03

  global error =        0.4104714E-03 iter. number =  1500 denomin. =        0.3586225E+03

  global error =        0.3224733E-03 iter. number =  1600 denomin. =        0.3655714E+03

  global error =        0.2747725E-03 iter. number =  1700 denomin. =        0.3690444E+03

  global error =        0.2213409E-03 iter. number =  1800 denomin. =        0.3678721E+03

  global error =        0.1858311E-03 iter. number =  1900 denomin. =        0.3638604E+03

  global error =        0.1538156E-03 iter. number =  2000 denomin. =        0.3601817E+03

  global error =        0.1235876E-03 iter. number =  2100 denomin. =        0.3591413E+03

  global error =        0.1040955E-03 iter. number =  2200 denomin. =        0.3604640E+03

  convergence  for freq. #    87 achieved in  2220 inner iterations 
 relative error value =       0.99849269E-04


  frequency number    86 frequency :       0.64125000E+00
 jw  real sour, imag sour =     86      0.59666E+00      0.46228E+00

  global error =        0.5467197E-02 iter. number =   100 denomin. =        0.3778621E+03

  global error =        0.4008340E-02 iter. number =   200 denomin. =        0.3993703E+03

  global error =        0.3503907E-02 iter. number =   300 denomin. =        0.4283943E+03

  global error =        0.2857249E-02 iter. number =   400 denomin. =        0.4607252E+03

  global error =        0.2410213E-02 iter. number =   500 denomin. =        0.4937883E+03

  global error =        0.1785133E-02 iter. number =   600 denomin. =        0.5079941E+03

  global error =        0.1108906E-02 iter. number =   700 denomin. =        0.4906746E+03

  global error =        0.8547226E-03 iter. number =   800 denomin. =        0.4558958E+03

  global error =        0.6863849E-03 iter. number =   900 denomin. =        0.4216174E+03

  global error =        0.5885654E-03 iter. number =  1000 denomin. =        0.3954862E+03

  global error =        0.4609685E-03 iter. number =  1100 denomin. =        0.3763058E+03

  global error =        0.3455584E-03 iter. number =  1200 denomin. =        0.3661420E+03

  global error =        0.2721862E-03 iter. number =  1300 denomin. =        0.3635336E+03

  global error =        0.1895705E-03 iter. number =  1400 denomin. =        0.3649366E+03

  global error =        0.1461559E-03 iter. number =  1500 denomin. =        0.3675737E+03

  global error =        0.1229224E-03 iter. number =  1600 denomin. =        0.3711639E+03

  global error =        0.1082547E-03 iter. number =  1700 denomin. =        0.3750606E+03

  convergence  for freq. #    86 achieved in  1748 inner iterations 
 relative error value =       0.99942384E-04


  frequency number    85 frequency :       0.63375000E+00
 jw  real sour, imag sour =     85      0.56258E+00      0.51712E+00

  global error =        0.5524298E-02 iter. number =   100 denomin. =        0.3855058E+03

  global error =        0.3748038E-02 iter. number =   200 denomin. =        0.3785929E+03

  global error =        0.3098599E-02 iter. number =   300 denomin. =        0.3697664E+03

  global error =        0.2297138E-02 iter. number =   400 denomin. =        0.3649005E+03

  global error =        0.1317512E-02 iter. number =   500 denomin. =        0.3690882E+03

  global error =        0.9893193E-03 iter. number =   600 denomin. =        0.3951255E+03

  global error =        0.8632618E-03 iter. number =   700 denomin. =        0.4287880E+03

  global error =        0.6412503E-03 iter. number =   800 denomin. =        0.4538715E+03

  global error =        0.4530530E-03 iter. number =   900 denomin. =        0.4657746E+03

  global error =        0.3182861E-03 iter. number =  1000 denomin. =        0.4684221E+03

  global error =        0.2845325E-03 iter. number =  1100 denomin. =        0.4726366E+03

  global error =        0.2421944E-03 iter. number =  1200 denomin. =        0.4803767E+03

  global error =        0.1650036E-03 iter. number =  1300 denomin. =        0.4852574E+03

  global error =        0.1318946E-03 iter. number =  1400 denomin. =        0.4853378E+03

  global error =        0.1222330E-03 iter. number =  1500 denomin. =        0.4826991E+03

  global error =        0.1115456E-03 iter. number =  1600 denomin. =        0.4806707E+03

  convergence  for freq. #    85 achieved in  1668 inner iterations 
 relative error value =       0.99850835E-04


  frequency number    84 frequency :       0.62625000E+00
 jw  real sour, imag sour =     84      0.52331E+00      0.56931E+00

  global error =        0.6084262E-02 iter. number =   100 denomin. =        0.4882238E+03

  global error =        0.4538938E-02 iter. number =   200 denomin. =        0.4966508E+03

  global error =        0.3991811E-02 iter. number =   300 denomin. =        0.5056982E+03

  global error =        0.3417537E-02 iter. number =   400 denomin. =        0.5067493E+03

  global error =        0.2863397E-02 iter. number =   500 denomin. =        0.4920982E+03

  global error =        0.1910810E-02 iter. number =   600 denomin. =        0.4527282E+03

  global error =        0.9363669E-03 iter. number =   700 denomin. =        0.4058981E+03

  global error =        0.7541522E-03 iter. number =   800 denomin. =        0.3699576E+03

  global error =        0.7363170E-03 iter. number =   900 denomin. =        0.3413601E+03

  global error =        0.6063989E-03 iter. number =  1000 denomin. =        0.3220975E+03

  global error =        0.3785284E-03 iter. number =  1100 denomin. =        0.3159093E+03

  global error =        0.2568982E-03 iter. number =  1200 denomin. =        0.3157115E+03

  global error =        0.2140882E-03 iter. number =  1300 denomin. =        0.3164054E+03

  global error =        0.1893456E-03 iter. number =  1400 denomin. =        0.3194447E+03

  global error =        0.1633541E-03 iter. number =  1500 denomin. =        0.3230949E+03

  global error =        0.1341986E-03 iter. number =  1600 denomin. =        0.3247118E+03

  global error =        0.1239079E-03 iter. number =  1700 denomin. =        0.3254014E+03

  global error =        0.1054289E-03 iter. number =  1800 denomin. =        0.3257653E+03

  convergence  for freq. #    84 achieved in  1843 inner iterations 
 relative error value =       0.99912588E-04


  frequency number    83 frequency :       0.61875000E+00
 jw  real sour, imag sour =     83      0.47906E+00      0.61832E+00

  global error =        0.5258011E-02 iter. number =   100 denomin. =        0.3238199E+03

  global error =        0.3530694E-02 iter. number =   200 denomin. =        0.3176198E+03

  global error =        0.2912839E-02 iter. number =   300 denomin. =        0.3326660E+03

  global error =        0.2093877E-02 iter. number =   400 denomin. =        0.3592275E+03

  global error =        0.1632259E-02 iter. number =   500 denomin. =        0.3993720E+03

  global error =        0.1215622E-02 iter. number =   600 denomin. =        0.4376358E+03

  global error =        0.6713729E-03 iter. number =   700 denomin. =        0.4665899E+03

  global error =        0.5617794E-03 iter. number =   800 denomin. =        0.4932715E+03

  global error =        0.4693402E-03 iter. number =   900 denomin. =        0.5146009E+03

  global error =        0.4167444E-03 iter. number =  1000 denomin. =        0.5324897E+03

  global error =        0.3197609E-03 iter. number =  1100 denomin. =        0.5456638E+03

  global error =        0.2218286E-03 iter. number =  1200 denomin. =        0.5552478E+03

  global error =        0.1843382E-03 iter. number =  1300 denomin. =        0.5626528E+03

  global error =        0.1397691E-03 iter. number =  1400 denomin. =        0.5672465E+03

  global error =        0.1177676E-03 iter. number =  1500 denomin. =        0.5704252E+03

  convergence  for freq. #    83 achieved in  1580 inner iterations 
 relative error value =       0.99877230E-04


  frequency number    82 frequency :       0.61125000E+00
 jw  real sour, imag sour =     82      0.43012E+00      0.66368E+00

  global error =        0.6128230E-02 iter. number =   100 denomin. =        0.5740812E+03

  global error =        0.4491962E-02 iter. number =   200 denomin. =        0.5244325E+03

  global error =        0.4029017E-02 iter. number =   300 denomin. =        0.4610364E+03

  global error =        0.3535284E-02 iter. number =   400 denomin. =        0.3986320E+03

  global error =        0.2711714E-02 iter. number =   500 denomin. =        0.3460424E+03

  global error =        0.1842541E-02 iter. number =   600 denomin. =        0.3241236E+03

  global error =        0.1451298E-02 iter. number =   700 denomin. =        0.3322352E+03

  global error =        0.1219734E-02 iter. number =   800 denomin. =        0.3559601E+03

  global error =        0.9275147E-03 iter. number =   900 denomin. =        0.3854796E+03

  global error =        0.6483862E-03 iter. number =  1000 denomin. =        0.4074914E+03

  global error =        0.4473068E-03 iter. number =  1100 denomin. =        0.4166179E+03

  global error =        0.3398050E-03 iter. number =  1200 denomin. =        0.4159412E+03

  global error =        0.2620969E-03 iter. number =  1300 denomin. =        0.4105075E+03

  global error =        0.2059396E-03 iter. number =  1400 denomin. =        0.4059576E+03

  global error =        0.1709079E-03 iter. number =  1500 denomin. =        0.4045196E+03

  global error =        0.1355745E-03 iter. number =  1600 denomin. =        0.4049635E+03

  convergence  for freq. #    82 achieved in  1698 inner iterations 
 relative error value =       0.99937432E-04


  frequency number    81 frequency :       0.60375000E+00
 jw  real sour, imag sour =     81      0.37678E+00      0.70491E+00

  global error =        0.5572897E-02 iter. number =   100 denomin. =        0.4241567E+03

  global error =        0.4054848E-02 iter. number =   200 denomin. =        0.4519171E+03

  global error =        0.3516438E-02 iter. number =   300 denomin. =        0.4810441E+03

  global error =        0.2929804E-02 iter. number =   400 denomin. =        0.5053230E+03

  global error =        0.2417257E-02 iter. number =   500 denomin. =        0.5126689E+03

  global error =        0.1794892E-02 iter. number =   600 denomin. =        0.4964814E+03

  global error =        0.1249329E-02 iter. number =   700 denomin. =        0.4578093E+03

  global error =        0.1077256E-02 iter. number =   800 denomin. =        0.4107140E+03

  global error =        0.9253375E-03 iter. number =   900 denomin. =        0.3660531E+03

  global error =        0.8171925E-03 iter. number =  1000 denomin. =        0.3344212E+03

  global error =        0.6617494E-03 iter. number =  1100 denomin. =        0.3164375E+03

  global error =        0.5075349E-03 iter. number =  1200 denomin. =        0.3113093E+03

  global error =        0.3968281E-03 iter. number =  1300 denomin. =        0.3149662E+03

  global error =        0.3025894E-03 iter. number =  1400 denomin. =        0.3225813E+03

  global error =        0.2400688E-03 iter. number =  1500 denomin. =        0.3307513E+03

  global error =        0.1910082E-03 iter. number =  1600 denomin. =        0.3374635E+03

  global error =        0.1500483E-03 iter. number =  1700 denomin. =        0.3416028E+03

  global error =        0.1201870E-03 iter. number =  1800 denomin. =        0.3431359E+03

  convergence  for freq. #    81 achieved in  1875 inner iterations 
 relative error value =       0.99750254E-04


  frequency number    80 frequency :       0.59625000E+00
 jw  real sour, imag sour =     80      0.31943E+00      0.74159E+00

  global error =        0.5051213E-02 iter. number =   100 denomin. =        0.3517004E+03

  global error =        0.3461599E-02 iter. number =   200 denomin. =        0.3645923E+03

  global error =        0.2754634E-02 iter. number =   300 denomin. =        0.3910131E+03

  global error =        0.1982711E-02 iter. number =   400 denomin. =        0.4212334E+03

  global error =        0.1461219E-02 iter. number =   500 denomin. =        0.4575708E+03

  global error =        0.1010862E-02 iter. number =   600 denomin. =        0.4889047E+03

  global error =        0.7583841E-03 iter. number =   700 denomin. =        0.5100857E+03

  global error =        0.6017136E-03 iter. number =   800 denomin. =        0.5163161E+03

  global error =        0.4498976E-03 iter. number =   900 denomin. =        0.5151230E+03

  global error =        0.3240127E-03 iter. number =  1000 denomin. =        0.5103676E+03

  global error =        0.2148278E-03 iter. number =  1100 denomin. =        0.5042670E+03

  global error =        0.1574555E-03 iter. number =  1200 denomin. =        0.4987938E+03

  global error =        0.1331257E-03 iter. number =  1300 denomin. =        0.4927801E+03

  global error =        0.1104968E-03 iter. number =  1400 denomin. =        0.4876869E+03

  convergence  for freq. #    80 achieved in  1449 inner iterations 
 relative error value =       0.99967905E-04


  frequency number    79 frequency :       0.58875000E+00
 jw  real sour, imag sour =     79      0.25847E+00      0.77329E+00

  global error =        0.5298851E-02 iter. number =   100 denomin. =        0.5015729E+03

  global error =        0.3967671E-02 iter. number =   200 denomin. =        0.4953754E+03

  global error =        0.3247521E-02 iter. number =   300 denomin. =        0.4758786E+03

  global error =        0.2529542E-02 iter. number =   400 denomin. =        0.4536309E+03

  global error =        0.1784844E-02 iter. number =   500 denomin. =        0.4399294E+03

  global error =        0.1274818E-02 iter. number =   600 denomin. =        0.4410334E+03

  global error =        0.9786265E-03 iter. number =   700 denomin. =        0.4612843E+03

  global error =        0.7507786E-03 iter. number =   800 denomin. =        0.4874542E+03

  global error =        0.5487869E-03 iter. number =   900 denomin. =        0.5042410E+03

  global error =        0.4223584E-03 iter. number =  1000 denomin. =        0.5056712E+03

  global error =        0.3512337E-03 iter. number =  1100 denomin. =        0.4982582E+03

  global error =        0.2896688E-03 iter. number =  1200 denomin. =        0.4899882E+03

  global error =        0.2155744E-03 iter. number =  1300 denomin. =        0.4859641E+03

  global error =        0.1567560E-03 iter. number =  1400 denomin. =        0.4872683E+03

  global error =        0.1245103E-03 iter. number =  1500 denomin. =        0.4905473E+03

  convergence  for freq. #    79 achieved in  1599 inner iterations 
 relative error value =       0.99853130E-04


  frequency number    78 frequency :       0.58125000E+00
 jw  real sour, imag sour =     78      0.19435E+00      0.79966E+00

  global error =        0.5090057E-02 iter. number =   100 denomin. =        0.5085145E+03

  global error =        0.3963792E-02 iter. number =   200 denomin. =        0.5262001E+03

  global error =        0.3364686E-02 iter. number =   300 denomin. =        0.5584729E+03

  global error =        0.2732142E-02 iter. number =   400 denomin. =        0.5908569E+03

  global error =        0.2112717E-02 iter. number =   500 denomin. =        0.6096094E+03

  global error =        0.1403038E-02 iter. number =   600 denomin. =        0.6038014E+03

  global error =        0.7627328E-03 iter. number =   700 denomin. =        0.5773624E+03

  global error =        0.5159318E-03 iter. number =   800 denomin. =        0.5458902E+03

  global error =        0.4042893E-03 iter. number =   900 denomin. =        0.5219076E+03

  global error =        0.3327993E-03 iter. number =  1000 denomin. =        0.5074946E+03

  global error =        0.2373323E-03 iter. number =  1100 denomin. =        0.5029839E+03

  global error =        0.1675181E-03 iter. number =  1200 denomin. =        0.5056702E+03

  global error =        0.1300907E-03 iter. number =  1300 denomin. =        0.5099624E+03

  convergence  for freq. #    78 achieved in  1372 inner iterations 
 relative error value =       0.99857675E-04


  frequency number    77 frequency :       0.57375000E+00
 jw  real sour, imag sour =     77      0.12758E+00      0.82037E+00

  global error =        0.4966665E-02 iter. number =   100 denomin. =        0.5189493E+03

  global error =        0.3816444E-02 iter. number =   200 denomin. =        0.4977727E+03

  global error =        0.3158663E-02 iter. number =   300 denomin. =        0.4782191E+03

  global error =        0.2135847E-02 iter. number =   400 denomin. =        0.4694280E+03

  global error =        0.1306004E-02 iter. number =   500 denomin. =        0.4822246E+03

  global error =        0.7498883E-03 iter. number =   600 denomin. =        0.5091433E+03

  global error =        0.5113701E-03 iter. number =   700 denomin. =        0.5391249E+03

  global error =        0.4297210E-03 iter. number =   800 denomin. =        0.5662908E+03

  global error =        0.3352436E-03 iter. number =   900 denomin. =        0.5890105E+03

  global error =        0.2550994E-03 iter. number =  1000 denomin. =        0.6084863E+03

  global error =        0.2125655E-03 iter. number =  1100 denomin. =        0.6264955E+03

  global error =        0.1608564E-03 iter. number =  1200 denomin. =        0.6408085E+03

  global error =        0.1188036E-03 iter. number =  1300 denomin. =        0.6514312E+03

  convergence  for freq. #    77 achieved in  1356 inner iterations 
 relative error value =       0.99774668E-04


  frequency number    76 frequency :       0.56625000E+00
 jw  real sour, imag sour =     76      0.58660E-01      0.83515E+00

  global error =        0.5758863E-02 iter. number =   100 denomin. =        0.6924653E+03

  global error =        0.4635331E-02 iter. number =   200 denomin. =        0.6759016E+03

  global error =        0.4152491E-02 iter. number =   300 denomin. =        0.6124523E+03

  global error =        0.3576131E-02 iter. number =   400 denomin. =        0.5369937E+03

  global error =        0.2919168E-02 iter. number =   500 denomin. =        0.4559853E+03

  global error =        0.2141472E-02 iter. number =   600 denomin. =        0.3789107E+03

  global error =        0.1553641E-02 iter. number =   700 denomin. =        0.3348403E+03

  global error =        0.1265377E-02 iter. number =   800 denomin. =        0.3223878E+03

  global error =        0.9708382E-03 iter. number =   900 denomin. =        0.3238008E+03

  global error =        0.6345492E-03 iter. number =  1000 denomin. =        0.3313461E+03

  global error =        0.4044052E-03 iter. number =  1100 denomin. =        0.3380768E+03

  global error =        0.3072346E-03 iter. number =  1200 denomin. =        0.3363754E+03

  global error =        0.2797618E-03 iter. number =  1300 denomin. =        0.3321756E+03

  global error =        0.2343210E-03 iter. number =  1400 denomin. =        0.3298818E+03

  global error =        0.1510744E-03 iter. number =  1500 denomin. =        0.3285702E+03

  convergence  for freq. #    76 achieved in  1597 inner iterations 
 relative error value =       0.99919447E-04


  frequency number    75 frequency :       0.55875000E+00
 jw  real sour, imag sour =     75     -0.11836E-01      0.84377E+00

  global error =        0.5140145E-02 iter. number =   100 denomin. =        0.3465573E+03

  global error =        0.3413640E-02 iter. number =   200 denomin. =        0.3841716E+03

  global error =        0.2727282E-02 iter. number =   300 denomin. =        0.4448368E+03

  global error =        0.2253026E-02 iter. number =   400 denomin. =        0.5187714E+03

  global error =        0.1852160E-02 iter. number =   500 denomin. =        0.6064174E+03

  global error =        0.1413541E-02 iter. number =   600 denomin. =        0.6864002E+03

  global error =        0.9829020E-03 iter. number =   700 denomin. =        0.7572153E+03

  global error =        0.7967393E-03 iter. number =   800 denomin. =        0.8139175E+03

  global error =        0.5989468E-03 iter. number =   900 denomin. =        0.8489899E+03

  global error =        0.5111924E-03 iter. number =  1000 denomin. =        0.8687701E+03

  global error =        0.4472940E-03 iter. number =  1100 denomin. =        0.8805154E+03

  global error =        0.3743624E-03 iter. number =  1200 denomin. =        0.8905393E+03

  global error =        0.3042007E-03 iter. number =  1300 denomin. =        0.8932504E+03

  global error =        0.2251642E-03 iter. number =  1400 denomin. =        0.8893324E+03

  global error =        0.1936409E-03 iter. number =  1500 denomin. =        0.8820751E+03

  global error =        0.1676028E-03 iter. number =  1600 denomin. =        0.8717116E+03

  global error =        0.1429818E-03 iter. number =  1700 denomin. =        0.8612494E+03

  global error =        0.1200423E-03 iter. number =  1800 denomin. =        0.8503970E+03

  convergence  for freq. #    75 achieved in  1881 inner iterations 
 relative error value =       0.99843166E-04


  frequency number    74 frequency :       0.55125000E+00
 jw  real sour, imag sour =     74     -0.83331E-01      0.84607E+00

  global error =        0.6607977E-02 iter. number =   100 denomin. =        0.8260909E+03

  global error =        0.4934164E-02 iter. number =   200 denomin. =        0.7524967E+03

  global error =        0.4704182E-02 iter. number =   300 denomin. =        0.6940544E+03

  global error =        0.4208942E-02 iter. number =   400 denomin. =        0.6193437E+03

  global error =        0.3355679E-02 iter. number =   500 denomin. =        0.5489840E+03

  global error =        0.2398697E-02 iter. number =   600 denomin. =        0.5493270E+03

  global error =        0.2081725E-02 iter. number =   700 denomin. =        0.5965022E+03

  global error =        0.1770969E-02 iter. number =   800 denomin. =        0.6694507E+03

  global error =        0.1356500E-02 iter. number =   900 denomin. =        0.7491957E+03

  global error =        0.1071408E-02 iter. number =  1000 denomin. =        0.8080168E+03

  global error =        0.8103556E-03 iter. number =  1100 denomin. =        0.8394209E+03

  global error =        0.6105825E-03 iter. number =  1200 denomin. =        0.8401961E+03

  global error =        0.4769916E-03 iter. number =  1300 denomin. =        0.8365532E+03

  global error =        0.4345034E-03 iter. number =  1400 denomin. =        0.8453397E+03

  global error =        0.3994748E-03 iter. number =  1500 denomin. =        0.8626040E+03

  global error =        0.3098116E-03 iter. number =  1600 denomin. =        0.8825812E+03

  global error =        0.2292411E-03 iter. number =  1700 denomin. =        0.8960363E+03

  global error =        0.1713132E-03 iter. number =  1800 denomin. =        0.9003151E+03

  global error =        0.1450108E-03 iter. number =  1900 denomin. =        0.8969658E+03

  global error =        0.1283574E-03 iter. number =  2000 denomin. =        0.8915629E+03

  global error =        0.1093982E-03 iter. number =  2100 denomin. =        0.8896724E+03

  convergence  for freq. #    74 achieved in  2169 inner iterations 
 relative error value =       0.99848876E-04


  frequency number    73 frequency :       0.54375000E+00
 jw  real sour, imag sour =     73     -0.15523E+00      0.84193E+00

  global error =        0.6367913E-02 iter. number =   100 denomin. =        0.9435031E+03

  global error =        0.4934997E-02 iter. number =   200 denomin. =        0.9742237E+03

  global error =        0.4598230E-02 iter. number =   300 denomin. =        0.9911194E+03

  global error =        0.4006765E-02 iter. number =   400 denomin. =        0.1017375E+04

  global error =        0.3597034E-02 iter. number =   500 denomin. =        0.1045166E+04

  global error =        0.2914115E-02 iter. number =   600 denomin. =        0.9973392E+03

  global error =        0.2537900E-02 iter. number =   700 denomin. =        0.8495879E+03

  global error =        0.2444290E-02 iter. number =   800 denomin. =        0.6650663E+03

  global error =        0.2099758E-02 iter. number =   900 denomin. =        0.5350773E+03

  global error =        0.1944514E-02 iter. number =  1000 denomin. =        0.4720488E+03

  global error =        0.1701377E-02 iter. number =  1100 denomin. =        0.4571312E+03

  global error =        0.1512221E-02 iter. number =  1200 denomin. =        0.4812297E+03

  global error =        0.1189551E-02 iter. number =  1300 denomin. =        0.5251314E+03

  global error =        0.8878547E-03 iter. number =  1400 denomin. =        0.5642244E+03

  global error =        0.7511592E-03 iter. number =  1500 denomin. =        0.5861879E+03

  global error =        0.6298831E-03 iter. number =  1600 denomin. =        0.5901683E+03

  global error =        0.5581293E-03 iter. number =  1700 denomin. =        0.5795373E+03

  global error =        0.4685118E-03 iter. number =  1800 denomin. =        0.5606628E+03

  global error =        0.4059694E-03 iter. number =  1900 denomin. =        0.5410095E+03

  global error =        0.3522494E-03 iter. number =  2000 denomin. =        0.5260317E+03

  global error =        0.2842629E-03 iter. number =  2100 denomin. =        0.5199752E+03

  global error =        0.2410363E-03 iter. number =  2200 denomin. =        0.5220919E+03

  global error =        0.2023397E-03 iter. number =  2300 denomin. =        0.5287736E+03

  global error =        0.1765690E-03 iter. number =  2400 denomin. =        0.5366374E+03

  global error =        0.1467754E-03 iter. number =  2500 denomin. =        0.5430796E+03

  global error =        0.1193203E-03 iter. number =  2600 denomin. =        0.5460321E+03

  global error =        0.1021962E-03 iter. number =  2700 denomin. =        0.5455758E+03

  convergence  for freq. #    73 achieved in  2713 inner iterations 
 relative error value =       0.99943440E-04


  frequency number    72 frequency :       0.53625000E+00
 jw  real sour, imag sour =     72     -0.22692E+00      0.83129E+00

  global error =        0.5425060E-02 iter. number =   100 denomin. =        0.5728434E+03

  global error =        0.3362962E-02 iter. number =   200 denomin. =        0.5841486E+03

  global error =        0.2612720E-02 iter. number =   300 denomin. =        0.6010445E+03

  global error =        0.2094151E-02 iter. number =   400 denomin. =        0.6324547E+03

  global error =        0.1496491E-02 iter. number =   500 denomin. =        0.6882770E+03

  global error =        0.1295781E-02 iter. number =   600 denomin. =        0.7611625E+03

  global error =        0.9054264E-03 iter. number =   700 denomin. =        0.8129609E+03

  global error =        0.5451422E-03 iter. number =   800 denomin. =        0.8354893E+03

  global error =        0.4193887E-03 iter. number =   900 denomin. =        0.8521499E+03

  global error =        0.3720048E-03 iter. number =  1000 denomin. =        0.8727277E+03

  global error =        0.3085714E-03 iter. number =  1100 denomin. =        0.8961301E+03

  global error =        0.2340435E-03 iter. number =  1200 denomin. =        0.9072152E+03

  global error =        0.1783144E-03 iter. number =  1300 denomin. =        0.9046684E+03

  global error =        0.1746408E-03 iter. number =  1400 denomin. =        0.9028604E+03

  global error =        0.1406077E-03 iter. number =  1500 denomin. =        0.9061310E+03

  global error =        0.1073889E-03 iter. number =  1600 denomin. =        0.9099077E+03

  convergence  for freq. #    72 achieved in  1647 inner iterations 
 relative error value =       0.99861661E-04


  frequency number    71 frequency :       0.52875000E+00
 jw  real sour, imag sour =     71     -0.29777E+00      0.81417E+00

  global error =        0.6571581E-02 iter. number =   100 denomin. =        0.9108332E+03

  global error =        0.4910308E-02 iter. number =   200 denomin. =        0.9349973E+03

  global error =        0.4518678E-02 iter. number =   300 denomin. =        0.9825442E+03

  global error =        0.4136217E-02 iter. number =   400 denomin. =        0.9838978E+03

  global error =        0.3588004E-02 iter. number =   500 denomin. =        0.9128630E+03

  global error =        0.2340703E-02 iter. number =   600 denomin. =        0.8073506E+03

  global error =        0.1316616E-02 iter. number =   700 denomin. =        0.7217700E+03

  global error =        0.1231769E-02 iter. number =   800 denomin. =        0.6488773E+03

  global error =        0.1177782E-02 iter. number =   900 denomin. =        0.5864847E+03

  global error =        0.8826032E-03 iter. number =  1000 denomin. =        0.5635314E+03

  global error =        0.5032119E-03 iter. number =  1100 denomin. =        0.5625312E+03

  global error =        0.3620242E-03 iter. number =  1200 denomin. =        0.5558307E+03

  global error =        0.3157675E-03 iter. number =  1300 denomin. =        0.5523686E+03

  global error =        0.3132493E-03 iter. number =  1400 denomin. =        0.5513717E+03

  global error =        0.2387921E-03 iter. number =  1500 denomin. =        0.5480330E+03

  global error =        0.1743315E-03 iter. number =  1600 denomin. =        0.5500491E+03

  global error =        0.1448452E-03 iter. number =  1700 denomin. =        0.5563978E+03

  global error =        0.1180362E-03 iter. number =  1800 denomin. =        0.5603492E+03

  global error =        0.1140070E-03 iter. number =  1900 denomin. =        0.5635214E+03

  convergence  for freq. #    71 achieved in  1950 inner iterations 
 relative error value =       0.99914924E-04


  frequency number    70 frequency :       0.52125000E+00
 jw  real sour, imag sour =     70     -0.36718E+00      0.79063E+00

  global error =        0.5727520E-02 iter. number =   100 denomin. =        0.5724586E+03

  global error =        0.4306499E-02 iter. number =   200 denomin. =        0.5789381E+03

  global error =        0.3814522E-02 iter. number =   300 denomin. =        0.6220800E+03

  global error =        0.2665365E-02 iter. number =   400 denomin. =        0.6860267E+03

  global error =        0.1990686E-02 iter. number =   500 denomin. =        0.7725099E+03

  global error =        0.1494948E-02 iter. number =   600 denomin. =        0.8367009E+03

  global error =        0.8930024E-03 iter. number =   700 denomin. =        0.8660424E+03

  global error =        0.7576516E-03 iter. number =   800 denomin. =        0.8760099E+03

  global error =        0.6333160E-03 iter. number =   900 denomin. =        0.8814221E+03

  global error =        0.5759695E-03 iter. number =  1000 denomin. =        0.8898439E+03

  global error =        0.4342260E-03 iter. number =  1100 denomin. =        0.8865430E+03

  global error =        0.3133038E-03 iter. number =  1200 denomin. =        0.8718398E+03

  global error =        0.2715241E-03 iter. number =  1300 denomin. =        0.8520939E+03

  global error =        0.2225324E-03 iter. number =  1400 denomin. =        0.8342114E+03

  global error =        0.1956034E-03 iter. number =  1500 denomin. =        0.8190997E+03

  global error =        0.1429438E-03 iter. number =  1600 denomin. =        0.8041055E+03

  global error =        0.1076082E-03 iter. number =  1700 denomin. =        0.7910346E+03

  convergence  for freq. #    70 achieved in  1752 inner iterations 
 relative error value =       0.99911673E-04


  frequency number    69 frequency :       0.51375000E+00
 jw  real sour, imag sour =     69     -0.43452E+00      0.76080E+00

  global error =        0.6198505E-02 iter. number =   100 denomin. =        0.7916668E+03

  global error =        0.4515838E-02 iter. number =   200 denomin. =        0.6937101E+03

  global error =        0.3892800E-02 iter. number =   300 denomin. =        0.5733445E+03

  global error =        0.3380791E-02 iter. number =   400 denomin. =        0.4863153E+03

  global error =        0.2615118E-02 iter. number =   500 denomin. =        0.4313036E+03

  global error =        0.1913025E-02 iter. number =   600 denomin. =        0.4433014E+03

  global error =        0.1561792E-02 iter. number =   700 denomin. =        0.5032882E+03

  global error =        0.1165040E-02 iter. number =   800 denomin. =        0.5608255E+03

  global error =        0.8295807E-03 iter. number =   900 denomin. =        0.5893366E+03

  global error =        0.5992958E-03 iter. number =  1000 denomin. =        0.5735295E+03

  global error =        0.4718846E-03 iter. number =  1100 denomin. =        0.5458776E+03

  global error =        0.4026791E-03 iter. number =  1200 denomin. =        0.5311737E+03

  global error =        0.3232385E-03 iter. number =  1300 denomin. =        0.5241431E+03

  global error =        0.2198248E-03 iter. number =  1400 denomin. =        0.5231264E+03

  global error =        0.1640125E-03 iter. number =  1500 denomin. =        0.5234960E+03

  global error =        0.1380086E-03 iter. number =  1600 denomin. =        0.5188360E+03

  global error =        0.1157917E-03 iter. number =  1700 denomin. =        0.5135412E+03

  convergence  for freq. #    69 achieved in  1777 inner iterations 
 relative error value =       0.99991348E-04


  frequency number    68 frequency :       0.50625000E+00
 jw  real sour, imag sour =     68     -0.49920E+00      0.72488E+00

  global error =        0.5795997E-02 iter. number =   100 denomin. =        0.5363394E+03

  global error =        0.3981447E-02 iter. number =   200 denomin. =        0.6035596E+03

  global error =        0.3407053E-02 iter. number =   300 denomin. =        0.6945236E+03

  global error =        0.2987813E-02 iter. number =   400 denomin. =        0.7920223E+03

  global error =        0.2584844E-02 iter. number =   500 denomin. =        0.8933885E+03

  global error =        0.1862224E-02 iter. number =   600 denomin. =        0.9532213E+03

  global error =        0.1355612E-02 iter. number =   700 denomin. =        0.9868318E+03

  global error =        0.1153296E-02 iter. number =   800 denomin. =        0.9819432E+03

  global error =        0.9257058E-03 iter. number =   900 denomin. =        0.9192551E+03

  global error =        0.8636540E-03 iter. number =  1000 denomin. =        0.8348059E+03

  global error =        0.7672050E-03 iter. number =  1100 denomin. =        0.7536181E+03

  global error =        0.7045905E-03 iter. number =  1200 denomin. =        0.6886706E+03

  global error =        0.5714718E-03 iter. number =  1300 denomin. =        0.6352551E+03

  global error =        0.4323226E-03 iter. number =  1400 denomin. =        0.5989224E+03

  global error =        0.3882941E-03 iter. number =  1500 denomin. =        0.5764817E+03

  global error =        0.3311498E-03 iter. number =  1600 denomin. =        0.5643318E+03

  global error =        0.2896945E-03 iter. number =  1700 denomin. =        0.5608944E+03

  global error =        0.2287847E-03 iter. number =  1800 denomin. =        0.5648687E+03

  global error =        0.1880509E-03 iter. number =  1900 denomin. =        0.5725181E+03

  global error =        0.1567909E-03 iter. number =  2000 denomin. =        0.5820584E+03

  global error =        0.1227926E-03 iter. number =  2100 denomin. =        0.5919918E+03

  global error =        0.1047548E-03 iter. number =  2200 denomin. =        0.6004964E+03

  convergence  for freq. #    68 achieved in  2225 inner iterations 
 relative error value =       0.99873847E-04


  frequency number    67 frequency :       0.49875000E+00
 jw  real sour, imag sour =     67     -0.56062E+00      0.68312E+00

  global error =        0.6251570E-02 iter. number =   100 denomin. =        0.6080159E+03

  global error =        0.4329053E-02 iter. number =   200 denomin. =        0.6084542E+03

  global error =        0.3890649E-02 iter. number =   300 denomin. =        0.6351919E+03

  global error =        0.2931835E-02 iter. number =   400 denomin. =        0.6683171E+03

  global error =        0.1955237E-02 iter. number =   500 denomin. =        0.7285927E+03

  global error =        0.1514199E-02 iter. number =   600 denomin. =        0.8201780E+03

  global error =        0.1400701E-02 iter. number =   700 denomin. =        0.9307539E+03

  global error =        0.1193854E-02 iter. number =   800 denomin. =        0.1046846E+04

  global error =        0.8258619E-03 iter. number =   900 denomin. =        0.1136773E+04

  global error =        0.6161036E-03 iter. number =  1000 denomin. =        0.1197373E+04

  global error =        0.4406921E-03 iter. number =  1100 denomin. =        0.1235728E+04

  global error =        0.3065536E-03 iter. number =  1200 denomin. =        0.1264416E+04

  global error =        0.2665748E-03 iter. number =  1300 denomin. =        0.1296795E+04

  global error =        0.2616183E-03 iter. number =  1400 denomin. =        0.1329416E+04

  global error =        0.2378379E-03 iter. number =  1500 denomin. =        0.1357054E+04

  global error =        0.1603812E-03 iter. number =  1600 denomin. =        0.1371934E+04

  convergence  for freq. #    67 achieved in  1699 inner iterations 
 relative error value =       0.99665602E-04


  frequency number    66 frequency :       0.49125000E+00
 jw  real sour, imag sour =     66     -0.61824E+00      0.63583E+00

  global error =        0.7049256E-02 iter. number =   100 denomin. =        0.1425089E+04

  global error =        0.5296090E-02 iter. number =   200 denomin. =        0.1371377E+04

  global error =        0.4965761E-02 iter. number =   300 denomin. =        0.1270001E+04

  global error =        0.4637046E-02 iter. number =   400 denomin. =        0.1168998E+04

  global error =        0.4273616E-02 iter. number =   500 denomin. =        0.1062914E+04

  global error =        0.3456574E-02 iter. number =   600 denomin. =        0.9058551E+03

  global error =        0.3004463E-02 iter. number =   700 denomin. =        0.7443147E+03

  global error =        0.2586992E-02 iter. number =   800 denomin. =        0.6592975E+03

  global error =        0.2029624E-02 iter. number =   900 denomin. =        0.6786839E+03

  global error =        0.1691348E-02 iter. number =  1000 denomin. =        0.7419546E+03

  global error =        0.1412012E-02 iter. number =  1100 denomin. =        0.8006941E+03

  global error =        0.1254187E-02 iter. number =  1200 denomin. =        0.8222473E+03

  global error =        0.9911866E-03 iter. number =  1300 denomin. =        0.8028735E+03

  global error =        0.7688784E-03 iter. number =  1400 denomin. =        0.7645092E+03

  global error =        0.6508679E-03 iter. number =  1500 denomin. =        0.7306804E+03

  global error =        0.5749543E-03 iter. number =  1600 denomin. =        0.7160714E+03

  global error =        0.5082479E-03 iter. number =  1700 denomin. =        0.7210360E+03

  global error =        0.4027276E-03 iter. number =  1800 denomin. =        0.7375643E+03

  global error =        0.3281312E-03 iter. number =  1900 denomin. =        0.7530983E+03

  global error =        0.2694762E-03 iter. number =  2000 denomin. =        0.7595559E+03

  global error =        0.2223845E-03 iter. number =  2100 denomin. =        0.7563374E+03

  global error =        0.1869550E-03 iter. number =  2200 denomin. =        0.7480024E+03

  global error =        0.1569934E-03 iter. number =  2300 denomin. =        0.7401886E+03

  global error =        0.1365759E-03 iter. number =  2400 denomin. =        0.7365835E+03

  global error =        0.1120502E-03 iter. number =  2500 denomin. =        0.7377699E+03

  convergence  for freq. #    66 achieved in  2552 inner iterations 
 relative error value =       0.99880243E-04


  frequency number    65 frequency :       0.48375000E+00
 jw  real sour, imag sour =     65     -0.67153E+00      0.58338E+00

  global error =        0.5636462E-02 iter. number =   100 denomin. =        0.7714853E+03

  global error =        0.3745740E-02 iter. number =   200 denomin. =        0.7881916E+03

  global error =        0.3152617E-02 iter. number =   300 denomin. =        0.8306634E+03

  global error =        0.2592693E-02 iter. number =   400 denomin. =        0.8863863E+03

  global error =        0.2036596E-02 iter. number =   500 denomin. =        0.9646157E+03

  global error =        0.1557695E-02 iter. number =   600 denomin. =        0.1033457E+04

  global error =        0.8688400E-03 iter. number =   700 denomin. =        0.1052243E+04

  global error =        0.4823040E-03 iter. number =   800 denomin. =        0.1058361E+04

  global error =        0.3777241E-03 iter. number =   900 denomin. =        0.1071758E+04

  global error =        0.3079201E-03 iter. number =  1000 denomin. =        0.1092872E+04

  global error =        0.2272631E-03 iter. number =  1100 denomin. =        0.1106928E+04

  global error =        0.1761186E-03 iter. number =  1200 denomin. =        0.1114153E+04

  global error =        0.1404522E-03 iter. number =  1300 denomin. =        0.1124960E+04

  global error =        0.1139174E-03 iter. number =  1400 denomin. =        0.1137653E+04

  convergence  for freq. #    65 achieved in  1456 inner iterations 
 relative error value =       0.99725770E-04


  frequency number    64 frequency :       0.47625000E+00
 jw  real sour, imag sour =     64     -0.71998E+00      0.52619E+00

  global error =        0.6556009E-02 iter. number =   100 denomin. =        0.1145204E+04

  global error =        0.4678349E-02 iter. number =   200 denomin. =        0.1110648E+04

  global error =        0.4361306E-02 iter. number =   300 denomin. =        0.1054936E+04

  global error =        0.3817052E-02 iter. number =   400 denomin. =        0.9418125E+03

  global error =        0.2922105E-02 iter. number =   500 denomin. =        0.7782252E+03

  global error =        0.1655395E-02 iter. number =   600 denomin. =        0.6749356E+03

  global error =        0.9142794E-03 iter. number =   700 denomin. =        0.6492989E+03

  global error =        0.7617577E-03 iter. number =   800 denomin. =        0.6513824E+03

  global error =        0.5981323E-03 iter. number =   900 denomin. =        0.6719102E+03

  global error =        0.3999427E-03 iter. number =  1000 denomin. =        0.6935206E+03

  global error =        0.2788217E-03 iter. number =  1100 denomin. =        0.7014888E+03

  global error =        0.2293004E-03 iter. number =  1200 denomin. =        0.7070962E+03

  global error =        0.1708093E-03 iter. number =  1300 denomin. =        0.7118078E+03

  global error =        0.1527364E-03 iter. number =  1400 denomin. =        0.7145777E+03

  global error =        0.1236804E-03 iter. number =  1500 denomin. =        0.7165216E+03

  convergence  for freq. #    64 achieved in  1560 inner iterations 
 relative error value =       0.99693951E-04


  frequency number    63 frequency :       0.46875000E+00
 jw  real sour, imag sour =     63     -0.76317E+00      0.46473E+00

  global error =        0.6056493E-02 iter. number =   100 denomin. =        0.7284333E+03

  global error =        0.4571843E-02 iter. number =   200 denomin. =        0.7604159E+03

  global error =        0.3961082E-02 iter. number =   300 denomin. =        0.8008668E+03

  global error =        0.3085901E-02 iter. number =   400 denomin. =        0.8304649E+03

  global error =        0.2512958E-02 iter. number =   500 denomin. =        0.8370014E+03

  global error =        0.1822386E-02 iter. number =   600 denomin. =        0.7920936E+03

  global error =        0.1108506E-02 iter. number =   700 denomin. =        0.6977984E+03

  global error =        0.9127449E-03 iter. number =   800 denomin. =        0.6036173E+03

  global error =        0.7718645E-03 iter. number =   900 denomin. =        0.5390026E+03

  global error =        0.6582118E-03 iter. number =  1000 denomin. =        0.5003528E+03

  global error =        0.4691534E-03 iter. number =  1100 denomin. =        0.4812760E+03

  global error =        0.2938456E-03 iter. number =  1200 denomin. =        0.4796234E+03

  global error =        0.2484691E-03 iter. number =  1300 denomin. =        0.4877919E+03

  global error =        0.2218284E-03 iter. number =  1400 denomin. =        0.4968194E+03

  global error =        0.1835478E-03 iter. number =  1500 denomin. =        0.5050937E+03

  global error =        0.1183987E-03 iter. number =  1600 denomin. =        0.5115925E+03

  convergence  for freq. #    63 achieved in  1628 inner iterations 
 relative error value =       0.99695131E-04


  frequency number    62 frequency :       0.46125000E+00
 jw  real sour, imag sour =     62     -0.80067E+00      0.39951E+00

  global error =        0.5334515E-02 iter. number =   100 denomin. =        0.5197123E+03

  global error =        0.3723123E-02 iter. number =   200 denomin. =        0.5132302E+03

  global error =        0.2814603E-02 iter. number =   300 denomin. =        0.5379199E+03

  global error =        0.1918610E-02 iter. number =   400 denomin. =        0.5820709E+03

  global error =        0.1287251E-02 iter. number =   500 denomin. =        0.6416894E+03

  global error =        0.9558465E-03 iter. number =   600 denomin. =        0.7114632E+03

  global error =        0.7669201E-03 iter. number =   700 denomin. =        0.7751589E+03

  global error =        0.6138539E-03 iter. number =   800 denomin. =        0.8331974E+03

  global error =        0.3734289E-03 iter. number =   900 denomin. =        0.8703860E+03

  global error =        0.2208219E-03 iter. number =  1000 denomin. =        0.8921010E+03

  global error =        0.1808449E-03 iter. number =  1100 denomin. =        0.9131434E+03

  global error =        0.1696442E-03 iter. number =  1200 denomin. =        0.9329550E+03

  global error =        0.1424397E-03 iter. number =  1300 denomin. =        0.9506248E+03

  convergence  for freq. #    62 achieved in  1372 inner iterations 
 relative error value =       0.99783467E-04


  frequency number    61 frequency :       0.45375000E+00
 jw  real sour, imag sour =     61     -0.83215E+00      0.33109E+00

  global error =        0.5748825E-02 iter. number =   100 denomin. =        0.9751011E+03

  global error =        0.4483772E-02 iter. number =   200 denomin. =        0.9384570E+03

  global error =        0.3929881E-02 iter. number =   300 denomin. =        0.8852860E+03

  global error =        0.3289623E-02 iter. number =   400 denomin. =        0.8136486E+03

  global error =        0.2518088E-02 iter. number =   500 denomin. =        0.7219885E+03

  global error =        0.1650543E-02 iter. number =   600 denomin. =        0.6503658E+03

  global error =        0.1132560E-02 iter. number =   700 denomin. =        0.6152851E+03

  global error =        0.8634124E-03 iter. number =   800 denomin. =        0.6170146E+03

  global error =        0.6511193E-03 iter. number =   900 denomin. =        0.6394108E+03

  global error =        0.4442585E-03 iter. number =  1000 denomin. =        0.6662001E+03

  global error =        0.2845075E-03 iter. number =  1100 denomin. =        0.6843485E+03

  global error =        0.1769912E-03 iter. number =  1200 denomin. =        0.6915867E+03

  global error =        0.1064910E-03 iter. number =  1300 denomin. =        0.6900463E+03

  convergence  for freq. #    61 achieved in  1314 inner iterations 
 relative error value =       0.99905310E-04


  frequency number    60 frequency :       0.44625000E+00
 jw  real sour, imag sour =     60     -0.85732E+00      0.26006E+00

  global error =        0.5473074E-02 iter. number =   100 denomin. =        0.7063309E+03

  global error =        0.3991576E-02 iter. number =   200 denomin. =        0.7283355E+03

  global error =        0.3261696E-02 iter. number =   300 denomin. =        0.7612173E+03

  global error =        0.2472333E-02 iter. number =   400 denomin. =        0.8028309E+03

  global error =        0.2070143E-02 iter. number =   500 denomin. =        0.8401022E+03

  global error =        0.1507199E-02 iter. number =   600 denomin. =        0.8557488E+03

  global error =        0.1000613E-02 iter. number =   700 denomin. =        0.8423745E+03

  global error =        0.6903899E-03 iter. number =   800 denomin. =        0.8113288E+03

  global error =        0.4661265E-03 iter. number =   900 denomin. =        0.7733033E+03

  global error =        0.4035600E-03 iter. number =  1000 denomin. =        0.7401738E+03

  global error =        0.3200127E-03 iter. number =  1100 denomin. =        0.7149705E+03

  global error =        0.2520629E-03 iter. number =  1200 denomin. =        0.6989359E+03

  global error =        0.1893816E-03 iter. number =  1300 denomin. =        0.6921133E+03

  global error =        0.1337122E-03 iter. number =  1400 denomin. =        0.6907678E+03

  global error =        0.1055617E-03 iter. number =  1500 denomin. =        0.6925014E+03

  convergence  for freq. #    60 achieved in  1523 inner iterations 
 relative error value =       0.99754311E-04


  frequency number    59 frequency :       0.43875000E+00
 jw  real sour, imag sour =     59     -0.87594E+00      0.18704E+00

  global error =        0.5548923E-02 iter. number =   100 denomin. =        0.7191185E+03

  global error =        0.3674080E-02 iter. number =   200 denomin. =        0.7251941E+03

  global error =        0.2849963E-02 iter. number =   300 denomin. =        0.7393703E+03

  global error =        0.2074086E-02 iter. number =   400 denomin. =        0.7707571E+03

  global error =        0.1464585E-02 iter. number =   500 denomin. =        0.8198110E+03

  global error =        0.1161635E-02 iter. number =   600 denomin. =        0.8820639E+03

  global error =        0.8389216E-03 iter. number =   700 denomin. =        0.9351917E+03

  global error =        0.5609270E-03 iter. number =   800 denomin. =        0.9673237E+03

  global error =        0.3583128E-03 iter. number =   900 denomin. =        0.9862285E+03

  global error =        0.2310881E-03 iter. number =  1000 denomin. =        0.9971865E+03

  global error =        0.1402606E-03 iter. number =  1100 denomin. =        0.1001841E+04

  convergence  for freq. #    59 achieved in  1172 inner iterations 
 relative error value =       0.99921727E-04


  frequency number    58 frequency :       0.43125000E+00
 jw  real sour, imag sour =     58     -0.88783E+00      0.11267E+00

  global error =        0.6336517E-02 iter. number =   100 denomin. =        0.1025230E+04

  global error =        0.4645855E-02 iter. number =   200 denomin. =        0.1010014E+04

  global error =        0.4106415E-02 iter. number =   300 denomin. =        0.9745007E+03

  global error =        0.3545690E-02 iter. number =   400 denomin. =        0.9225292E+03

  global error =        0.2765290E-02 iter. number =   500 denomin. =        0.8551703E+03

  global error =        0.1849690E-02 iter. number =   600 denomin. =        0.7987555E+03

  global error =        0.9481201E-03 iter. number =   700 denomin. =        0.7764484E+03

  global error =        0.5677839E-03 iter. number =   800 denomin. =        0.7695454E+03

  global error =        0.4913759E-03 iter. number =   900 denomin. =        0.7703944E+03

  global error =        0.3934935E-03 iter. number =  1000 denomin. =        0.7761981E+03

  global error =        0.2791906E-03 iter. number =  1100 denomin. =        0.7760433E+03

  global error =        0.2069768E-03 iter. number =  1200 denomin. =        0.7657377E+03

  global error =        0.1775586E-03 iter. number =  1300 denomin. =        0.7526250E+03

  global error =        0.1569925E-03 iter. number =  1400 denomin. =        0.7412374E+03

  global error =        0.1200670E-03 iter. number =  1500 denomin. =        0.7340124E+03

  convergence  for freq. #    58 achieved in  1545 inner iterations 
 relative error value =       0.99981238E-04


  frequency number    57 frequency :       0.42375000E+00
 jw  real sour, imag sour =     57     -0.89291E+00      0.37591E-01

  global error =        0.6013366E-02 iter. number =   100 denomin. =        0.7562639E+03

  global error =        0.4399409E-02 iter. number =   200 denomin. =        0.7829710E+03

  global error =        0.3798024E-02 iter. number =   300 denomin. =        0.8360953E+03

  global error =        0.3108596E-02 iter. number =   400 denomin. =        0.8944880E+03

  global error =        0.2512355E-02 iter. number =   500 denomin. =        0.9489847E+03

  global error =        0.1781754E-02 iter. number =   600 denomin. =        0.9596887E+03

  global error =        0.9774992E-03 iter. number =   700 denomin. =        0.9292580E+03

  global error =        0.6916291E-03 iter. number =   800 denomin. =        0.8682433E+03

  global error =        0.5650728E-03 iter. number =   900 denomin. =        0.8072959E+03

  global error =        0.4789345E-03 iter. number =  1000 denomin. =        0.7587719E+03

  global error =        0.3969169E-03 iter. number =  1100 denomin. =        0.7222283E+03

  global error =        0.2845766E-03 iter. number =  1200 denomin. =        0.6952406E+03

  global error =        0.2132179E-03 iter. number =  1300 denomin. =        0.6764349E+03

  global error =        0.1714863E-03 iter. number =  1400 denomin. =        0.6627539E+03

  global error =        0.1478353E-03 iter. number =  1500 denomin. =        0.6534320E+03

  global error =        0.1215261E-03 iter. number =  1600 denomin. =        0.6472879E+03

  convergence  for freq. #    57 achieved in  1667 inner iterations 
 relative error value =       0.99978133E-04


  frequency number    56 frequency :       0.41625000E+00
 jw  real sour, imag sour =     56     -0.89113E+00     -0.37517E-01

  global error =        0.5735588E-02 iter. number =   100 denomin. =        0.6562717E+03

  global error =        0.3998233E-02 iter. number =   200 denomin. =        0.6334939E+03

  global error =        0.3315413E-02 iter. number =   300 denomin. =        0.6381386E+03

  global error =        0.2448752E-02 iter. number =   400 denomin. =        0.6693726E+03

  global error =        0.1475998E-02 iter. number =   500 denomin. =        0.7296511E+03

  global error =        0.9948154E-03 iter. number =   600 denomin. =        0.7969697E+03

  global error =        0.7434968E-03 iter. number =   700 denomin. =        0.8634528E+03

  global error =        0.6223637E-03 iter. number =   800 denomin. =        0.9293156E+03

  global error =        0.5429597E-03 iter. number =   900 denomin. =        0.9881253E+03

  global error =        0.4378424E-03 iter. number =  1000 denomin. =        0.1037313E+04

  global error =        0.3073982E-03 iter. number =  1100 denomin. =        0.1073623E+04

  global error =        0.1867018E-03 iter. number =  1200 denomin. =        0.1100005E+04

  global error =        0.1396428E-03 iter. number =  1300 denomin. =        0.1120748E+04

  global error =        0.1258727E-03 iter. number =  1400 denomin. =        0.1139691E+04

  global error =        0.1087099E-03 iter. number =  1500 denomin. =        0.1156619E+04

  convergence  for freq. #    56 achieved in  1552 inner iterations 
 relative error value =       0.99907327E-04


  frequency number    55 frequency :       0.40875000E+00
 jw  real sour, imag sour =     55     -0.88252E+00     -0.11199E+00

  global error =        0.6334867E-02 iter. number =   100 denomin. =        0.1222863E+04

  global error =        0.4892344E-02 iter. number =   200 denomin. =        0.1174943E+04

  global error =        0.4537695E-02 iter. number =   300 denomin. =        0.1052147E+04

  global error =        0.4248699E-02 iter. number =   400 denomin. =        0.8857053E+03

  global error =        0.3887536E-02 iter. number =   500 denomin. =        0.7006741E+03

  global error =        0.3297504E-02 iter. number =   600 denomin. =        0.5464871E+03

  global error =        0.2806590E-02 iter. number =   700 denomin. =        0.4706077E+03

  global error =        0.2483176E-02 iter. number =   800 denomin. =        0.4710342E+03

  global error =        0.1917991E-02 iter. number =   900 denomin. =        0.5226306E+03

  global error =        0.1454265E-02 iter. number =  1000 denomin. =        0.5857483E+03

  global error =        0.1093668E-02 iter. number =  1100 denomin. =        0.6221479E+03

  global error =        0.8844742E-03 iter. number =  1200 denomin. =        0.6181402E+03

  global error =        0.7845689E-03 iter. number =  1300 denomin. =        0.5878714E+03

  global error =        0.6619131E-03 iter. number =  1400 denomin. =        0.5528897E+03

  global error =        0.5598192E-03 iter. number =  1500 denomin. =        0.5281116E+03

  global error =        0.4418397E-03 iter. number =  1600 denomin. =        0.5203499E+03

  global error =        0.3517662E-03 iter. number =  1700 denomin. =        0.5271698E+03

  global error =        0.2945170E-03 iter. number =  1800 denomin. =        0.5399067E+03

  global error =        0.2356051E-03 iter. number =  1900 denomin. =        0.5500884E+03

  global error =        0.1963398E-03 iter. number =  2000 denomin. =        0.5539842E+03

  global error =        0.1563441E-03 iter. number =  2100 denomin. =        0.5522979E+03

  global error =        0.1272217E-03 iter. number =  2200 denomin. =        0.5474632E+03

  global error =        0.1065360E-03 iter. number =  2300 denomin. =        0.5426412E+03

  convergence  for freq. #    55 achieved in  2329 inner iterations 
 relative error value =       0.99893529E-04


  frequency number    54 frequency :       0.40125000E+00
 jw  real sour, imag sour =     54     -0.86719E+00     -0.18517E+00

  global error =        0.5467423E-02 iter. number =   100 denomin. =        0.5692629E+03

  global error =        0.3946870E-02 iter. number =   200 denomin. =        0.6279006E+03

  global error =        0.3283469E-02 iter. number =   300 denomin. =        0.7085561E+03

  global error =        0.2609038E-02 iter. number =   400 denomin. =        0.7966112E+03

  global error =        0.2061262E-02 iter. number =   500 denomin. =        0.8817880E+03

  global error =        0.1565378E-02 iter. number =   600 denomin. =        0.9385472E+03

  global error =        0.1067806E-02 iter. number =   700 denomin. =        0.9582030E+03

  global error =        0.8158455E-03 iter. number =   800 denomin. =        0.9345398E+03

  global error =        0.6582706E-03 iter. number =   900 denomin. =        0.8814638E+03

  global error =        0.5383125E-03 iter. number =  1000 denomin. =        0.8218176E+03

  global error =        0.4452934E-03 iter. number =  1100 denomin. =        0.7710304E+03

  global error =        0.3471643E-03 iter. number =  1200 denomin. =        0.7324007E+03

  global error =        0.2927736E-03 iter. number =  1300 denomin. =        0.7040329E+03

  global error =        0.2308129E-03 iter. number =  1400 denomin. =        0.6848141E+03

  global error =        0.1728861E-03 iter. number =  1500 denomin. =        0.6757842E+03

  global error =        0.1310729E-03 iter. number =  1600 denomin. =        0.6740031E+03

  global error =        0.1003687E-03 iter. number =  1700 denomin. =        0.6765725E+03

  convergence  for freq. #    54 achieved in  1703 inner iterations 
 relative error value =       0.99853359E-04


  frequency number    53 frequency :       0.39375000E+00
 jw  real sour, imag sour =     53     -0.84529E+00     -0.25642E+00

  global error =        0.5841026E-02 iter. number =   100 denomin. =        0.7018171E+03

  global error =        0.4303559E-02 iter. number =   200 denomin. =        0.6947143E+03

  global error =        0.3615184E-02 iter. number =   300 denomin. =        0.7003931E+03

  global error =        0.2770295E-02 iter. number =   400 denomin. =        0.7190621E+03

  global error =        0.1848752E-02 iter. number =   500 denomin. =        0.7526665E+03

  global error =        0.1434376E-02 iter. number =   600 denomin. =        0.8216012E+03

  global error =        0.1387913E-02 iter. number =   700 denomin. =        0.9325642E+03

  global error =        0.1114973E-02 iter. number =   800 denomin. =        0.1044791E+04

  global error =        0.7408209E-03 iter. number =   900 denomin. =        0.1114654E+04

  global error =        0.4936843E-03 iter. number =  1000 denomin. =        0.1137625E+04

  global error =        0.3956344E-03 iter. number =  1100 denomin. =        0.1143964E+04

  global error =        0.3791638E-03 iter. number =  1200 denomin. =        0.1155801E+04

  global error =        0.3077828E-03 iter. number =  1300 denomin. =        0.1177465E+04

  global error =        0.2426820E-03 iter. number =  1400 denomin. =        0.1196913E+04

  global error =        0.1945700E-03 iter. number =  1500 denomin. =        0.1204358E+04

  global error =        0.1495511E-03 iter. number =  1600 denomin. =        0.1201114E+04

  global error =        0.1278572E-03 iter. number =  1700 denomin. =        0.1195120E+04

  global error =        0.1024833E-03 iter. number =  1800 denomin. =        0.1195283E+04

  convergence  for freq. #    53 achieved in  1817 inner iterations 
 relative error value =       0.99877601E-04


  frequency number    52 frequency :       0.38625000E+00
 jw  real sour, imag sour =     52     -0.81706E+00     -0.32509E+00

  global error =        0.6540240E-02 iter. number =   100 denomin. =        0.1259508E+04

  global error =        0.5054700E-02 iter. number =   200 denomin. =        0.1255799E+04

  global error =        0.4611708E-02 iter. number =   300 denomin. =        0.1240153E+04

  global error =        0.4106785E-02 iter. number =   400 denomin. =        0.1220379E+04

  global error =        0.3560108E-02 iter. number =   500 denomin. =        0.1198112E+04

  global error =        0.2703227E-02 iter. number =   600 denomin. =        0.1101620E+04

  global error =        0.1841903E-02 iter. number =   700 denomin. =        0.9376879E+03

  global error =        0.1455241E-02 iter. number =   800 denomin. =        0.8092341E+03

  global error =        0.1198094E-02 iter. number =   900 denomin. =        0.7528489E+03

  global error =        0.1019197E-02 iter. number =  1000 denomin. =        0.7448649E+03

  global error =        0.8597644E-03 iter. number =  1100 denomin. =        0.7733763E+03

  global error =        0.7445844E-03 iter. number =  1200 denomin. =        0.8187642E+03

  global error =        0.5297103E-03 iter. number =  1300 denomin. =        0.8485945E+03

  global error =        0.3212305E-03 iter. number =  1400 denomin. =        0.8535871E+03

  global error =        0.2693086E-03 iter. number =  1500 denomin. =        0.8452693E+03

  global error =        0.2836973E-03 iter. number =  1600 denomin. =        0.8294880E+03

  global error =        0.2611096E-03 iter. number =  1700 denomin. =        0.8116970E+03

  global error =        0.1746807E-03 iter. number =  1800 denomin. =        0.8037679E+03

  global error =        0.1208490E-03 iter. number =  1900 denomin. =        0.8070544E+03

  global error =        0.1059975E-03 iter. number =  2000 denomin. =        0.8136465E+03

  global error =        0.1020792E-03 iter. number =  2100 denomin. =        0.8193783E+03

  convergence  for freq. #    52 achieved in  2128 inner iterations 
 relative error value =       0.99959235E-04


  frequency number    51 frequency :       0.37875000E+00
 jw  real sour, imag sour =     51     -0.78279E+00     -0.39059E+00

  global error =        0.5871627E-02 iter. number =   100 denomin. =        0.8495808E+03

  global error =        0.3858907E-02 iter. number =   200 denomin. =        0.8172571E+03

  global error =        0.3214594E-02 iter. number =   300 denomin. =        0.7968809E+03

  global error =        0.2510635E-02 iter. number =   400 denomin. =        0.7993962E+03

  global error =        0.1931911E-02 iter. number =   500 denomin. =        0.8622391E+03

  global error =        0.1576647E-02 iter. number =   600 denomin. =        0.9458818E+03

  global error =        0.8875401E-03 iter. number =   700 denomin. =        0.9872302E+03

  global error =        0.5886547E-03 iter. number =   800 denomin. =        0.1033031E+04

  global error =        0.5312522E-03 iter. number =   900 denomin. =        0.1096923E+04

  global error =        0.5039519E-03 iter. number =  1000 denomin. =        0.1171811E+04

  global error =        0.3853915E-03 iter. number =  1100 denomin. =        0.1240775E+04

  global error =        0.2752011E-03 iter. number =  1200 denomin. =        0.1287924E+04

  global error =        0.2565610E-03 iter. number =  1300 denomin. =        0.1333352E+04

  global error =        0.2033617E-03 iter. number =  1400 denomin. =        0.1376994E+04

  global error =        0.1633409E-03 iter. number =  1500 denomin. =        0.1410804E+04

  global error =        0.1326085E-03 iter. number =  1600 denomin. =        0.1437599E+04

  global error =        0.1155916E-03 iter. number =  1700 denomin. =        0.1457677E+04

  convergence  for freq. #    51 achieved in  1799 inner iterations 
 relative error value =       0.99768301E-04


  frequency number    50 frequency :       0.37125000E+00
 jw  real sour, imag sour =     50     -0.74284E+00     -0.45235E+00

  global error =        0.7182895E-02 iter. number =   100 denomin. =        0.1530507E+04

  global error =        0.5267307E-02 iter. number =   200 denomin. =        0.1513245E+04

  global error =        0.5005968E-02 iter. number =   300 denomin. =        0.1447945E+04

  global error =        0.4758347E-02 iter. number =   400 denomin. =        0.1314243E+04

  global error =        0.4386539E-02 iter. number =   500 denomin. =        0.1052300E+04

  global error =        0.3194224E-02 iter. number =   600 denomin. =        0.7973176E+03

  global error =        0.2414231E-02 iter. number =   700 denomin. =        0.6524142E+03

  global error =        0.2403721E-02 iter. number =   800 denomin. =        0.5474989E+03

  global error =        0.1953675E-02 iter. number =   900 denomin. =        0.4926146E+03

  global error =        0.1454638E-02 iter. number =  1000 denomin. =        0.5106502E+03

  global error =        0.1204978E-02 iter. number =  1100 denomin. =        0.5466251E+03

  global error =        0.1042499E-02 iter. number =  1200 denomin. =        0.5843094E+03

  global error =        0.6881252E-03 iter. number =  1300 denomin. =        0.6150679E+03

  global error =        0.4337745E-03 iter. number =  1400 denomin. =        0.6160773E+03

  global error =        0.4236653E-03 iter. number =  1500 denomin. =        0.6012158E+03

  global error =        0.4373022E-03 iter. number =  1600 denomin. =        0.5790064E+03

  global error =        0.3758971E-03 iter. number =  1700 denomin. =        0.5511933E+03

  global error =        0.2750693E-03 iter. number =  1800 denomin. =        0.5324494E+03

  global error =        0.2317328E-03 iter. number =  1900 denomin. =        0.5232138E+03

  global error =        0.1692007E-03 iter. number =  2000 denomin. =        0.5207293E+03

  global error =        0.1241453E-03 iter. number =  2100 denomin. =        0.5252531E+03

  global error =        0.1083669E-03 iter. number =  2200 denomin. =        0.5322437E+03

  global error =        0.1105234E-03 iter. number =  2300 denomin. =        0.5389242E+03

  global error =        0.1017575E-03 iter. number =  2400 denomin. =        0.5451938E+03

  convergence  for freq. #    50 achieved in  2407 inner iterations 
 relative error value =       0.99797370E-04


  frequency number    49 frequency :       0.36375000E+00
 jw  real sour, imag sour =     49     -0.69763E+00     -0.50985E+00

  global error =        0.6561727E-02 iter. number =   100 denomin. =        0.5739048E+03

  global error =        0.4628874E-02 iter. number =   200 denomin. =        0.6257613E+03

  global error =        0.4030941E-02 iter. number =   300 denomin. =        0.7105243E+03

  global error =        0.3142862E-02 iter. number =   400 denomin. =        0.8142687E+03

  global error =        0.2608444E-02 iter. number =   500 denomin. =        0.9330613E+03

  global error =        0.1985585E-02 iter. number =   600 denomin. =        0.9908732E+03

  global error =        0.1425644E-02 iter. number =   700 denomin. =        0.9765871E+03

  global error =        0.1396343E-02 iter. number =   800 denomin. =        0.9235222E+03

  global error =        0.1353937E-02 iter. number =   900 denomin. =        0.8521779E+03

  global error =        0.1329716E-02 iter. number =  1000 denomin. =        0.7740717E+03

  global error =        0.1095865E-02 iter. number =  1100 denomin. =        0.6798612E+03

  global error =        0.9335654E-03 iter. number =  1200 denomin. =        0.5935908E+03

  global error =        0.8906031E-03 iter. number =  1300 denomin. =        0.5214782E+03

  global error =        0.8182892E-03 iter. number =  1400 denomin. =        0.4659461E+03

  global error =        0.7725472E-03 iter. number =  1500 denomin. =        0.4289941E+03

  global error =        0.6443819E-03 iter. number =  1600 denomin. =        0.4102287E+03

  global error =        0.5632198E-03 iter. number =  1700 denomin. =        0.4076412E+03

  global error =        0.4862741E-03 iter. number =  1800 denomin. =        0.4163655E+03

  global error =        0.4125971E-03 iter. number =  1900 denomin. =        0.4321758E+03

  global error =        0.3547325E-03 iter. number =  2000 denomin. =        0.4510683E+03

  global error =        0.2874058E-03 iter. number =  2100 denomin. =        0.4699833E+03

  global error =        0.2481869E-03 iter. number =  2200 denomin. =        0.4858253E+03

  global error =        0.2119361E-03 iter. number =  2300 denomin. =        0.4979656E+03

  global error =        0.1833587E-03 iter. number =  2400 denomin. =        0.5058621E+03

  global error =        0.1584884E-03 iter. number =  2500 denomin. =        0.5094347E+03

  global error =        0.1342487E-03 iter. number =  2600 denomin. =        0.5092987E+03

  global error =        0.1180476E-03 iter. number =  2700 denomin. =        0.5065461E+03

  global error =        0.1019318E-03 iter. number =  2800 denomin. =        0.5019587E+03

  convergence  for freq. #    49 achieved in  2814 inner iterations 
 relative error value =       0.99877470E-04


  frequency number    48 frequency :       0.35625000E+00
 jw  real sour, imag sour =     48     -0.64760E+00     -0.56259E+00

  global error =        0.6371424E-02 iter. number =   100 denomin. =        0.4997291E+03

  global error =        0.4139555E-02 iter. number =   200 denomin. =        0.4641243E+03

  global error =        0.3330067E-02 iter. number =   300 denomin. =        0.4581903E+03

  global error =        0.2800585E-02 iter. number =   400 denomin. =        0.4775287E+03

  global error =        0.2140114E-02 iter. number =   500 denomin. =        0.5238996E+03

  global error =        0.1743636E-02 iter. number =   600 denomin. =        0.6110088E+03

  global error =        0.1630942E-02 iter. number =   700 denomin. =        0.7085312E+03

  global error =        0.1232166E-02 iter. number =   800 denomin. =        0.7956314E+03

  global error =        0.8430531E-03 iter. number =   900 denomin. =        0.8315056E+03

  global error =        0.6237909E-03 iter. number =  1000 denomin. =        0.8306182E+03

  global error =        0.5403541E-03 iter. number =  1100 denomin. =        0.8430865E+03

  global error =        0.5193969E-03 iter. number =  1200 denomin. =        0.8714658E+03

  global error =        0.4090383E-03 iter. number =  1300 denomin. =        0.9039223E+03

  global error =        0.2887542E-03 iter. number =  1400 denomin. =        0.9209664E+03

  global error =        0.2178627E-03 iter. number =  1500 denomin. =        0.9196939E+03

  global error =        0.2075363E-03 iter. number =  1600 denomin. =        0.9141641E+03

  global error =        0.2050006E-03 iter. number =  1700 denomin. =        0.9118165E+03

  global error =        0.1607992E-03 iter. number =  1800 denomin. =        0.9160002E+03

  global error =        0.1147894E-03 iter. number =  1900 denomin. =        0.9212882E+03

  convergence  for freq. #    48 achieved in  1949 inner iterations 
 relative error value =       0.99777451E-04


  frequency number    47 frequency :       0.34875000E+00
 jw  real sour, imag sour =     47     -0.59328E+00     -0.61016E+00

  global error =        0.6451790E-02 iter. number =   100 denomin. =        0.9509538E+03

  global error =        0.4832424E-02 iter. number =   200 denomin. =        0.9985228E+03

  global error =        0.4389880E-02 iter. number =   300 denomin. =        0.1059684E+04

  global error =        0.3995626E-02 iter. number =   400 denomin. =        0.1105155E+04

  global error =        0.3655013E-02 iter. number =   500 denomin. =        0.1116565E+04

  global error =        0.2838572E-02 iter. number =   600 denomin. =        0.1059245E+04

  global error =        0.2267049E-02 iter. number =   700 denomin. =        0.9452114E+03

  global error =        0.2065942E-02 iter. number =   800 denomin. =        0.7972866E+03

  global error =        0.2031508E-02 iter. number =   900 denomin. =        0.6589247E+03

  global error =        0.2012111E-02 iter. number =  1000 denomin. =        0.5669564E+03

  global error =        0.1701225E-02 iter. number =  1100 denomin. =        0.5367597E+03

  global error =        0.1386720E-02 iter. number =  1200 denomin. =        0.5618864E+03

  global error =        0.1108404E-02 iter. number =  1300 denomin. =        0.6125115E+03

  global error =        0.9230137E-03 iter. number =  1400 denomin. =        0.6626330E+03

  global error =        0.7826077E-03 iter. number =  1500 denomin. =        0.6965613E+03

  global error =        0.6474213E-03 iter. number =  1600 denomin. =        0.7070626E+03

  global error =        0.5587911E-03 iter. number =  1700 denomin. =        0.6948885E+03

  global error =        0.4827428E-03 iter. number =  1800 denomin. =        0.6700178E+03

  global error =        0.4245953E-03 iter. number =  1900 denomin. =        0.6440507E+03

  global error =        0.3663070E-03 iter. number =  2000 denomin. =        0.6240952E+03

  global error =        0.3127520E-03 iter. number =  2100 denomin. =        0.6141108E+03

  global error =        0.2690628E-03 iter. number =  2200 denomin. =        0.6143616E+03

  global error =        0.2267494E-03 iter. number =  2300 denomin. =        0.6216183E+03

  global error =        0.1918689E-03 iter. number =  2400 denomin. =        0.6315551E+03

  global error =        0.1614806E-03 iter. number =  2500 denomin. =        0.6405166E+03

  global error =        0.1380292E-03 iter. number =  2600 denomin. =        0.6460261E+03

  global error =        0.1187055E-03 iter. number =  2700 denomin. =        0.6473317E+03

  global error =        0.1006306E-03 iter. number =  2800 denomin. =        0.6452257E+03

  convergence  for freq. #    47 achieved in  2804 inner iterations 
 relative error value =       0.99970644E-04


  frequency number    46 frequency :       0.34125000E+00
 jw  real sour, imag sour =     46     -0.53521E+00     -0.65216E+00

  global error =        0.5867153E-02 iter. number =   100 denomin. =        0.6749143E+03

  global error =        0.4242641E-02 iter. number =   200 denomin. =        0.6996299E+03

  global error =        0.3620553E-02 iter. number =   300 denomin. =        0.7480508E+03

  global error =        0.2637973E-02 iter. number =   400 denomin. =        0.8106763E+03

  global error =        0.1892690E-02 iter. number =   500 denomin. =        0.8814745E+03

  global error =        0.1601436E-02 iter. number =   600 denomin. =        0.9502661E+03

  global error =        0.1379603E-02 iter. number =   700 denomin. =        0.1008826E+04

  global error =        0.1055141E-02 iter. number =   800 denomin. =        0.1038254E+04

  global error =        0.6758507E-03 iter. number =   900 denomin. =        0.1023584E+04

  global error =        0.4223799E-03 iter. number =  1000 denomin. =        0.9943655E+03

  global error =        0.3567742E-03 iter. number =  1100 denomin. =        0.9751019E+03

  global error =        0.3449988E-03 iter. number =  1200 denomin. =        0.9705922E+03

  global error =        0.2924211E-03 iter. number =  1300 denomin. =        0.9640986E+03

  global error =        0.2710347E-03 iter. number =  1400 denomin. =        0.9477923E+03

  global error =        0.2304709E-03 iter. number =  1500 denomin. =        0.9337691E+03

  global error =        0.1792039E-03 iter. number =  1600 denomin. =        0.9316828E+03

  global error =        0.1409545E-03 iter. number =  1700 denomin. =        0.9364424E+03

  global error =        0.1195291E-03 iter. number =  1800 denomin. =        0.9381613E+03

  global error =        0.1172996E-03 iter. number =  1900 denomin. =        0.9351003E+03

  global error =        0.1008074E-03 iter. number =  2000 denomin. =        0.9328548E+03

  convergence  for freq. #    46 achieved in  2004 inner iterations 
 relative error value =       0.99968878E-04


  frequency number    45 frequency :       0.33375000E+00
 jw  real sour, imag sour =     45     -0.47399E+00     -0.68828E+00

  global error =        0.6603386E-02 iter. number =   100 denomin. =        0.9742826E+03

  global error =        0.4858317E-02 iter. number =   200 denomin. =        0.9282892E+03

  global error =        0.4233272E-02 iter. number =   300 denomin. =        0.8287958E+03

  global error =        0.3691087E-02 iter. number =   400 denomin. =        0.7248004E+03

  global error =        0.2859434E-02 iter. number =   500 denomin. =        0.6203572E+03

  global error =        0.2092055E-02 iter. number =   600 denomin. =        0.5602928E+03

  global error =        0.1775763E-02 iter. number =   700 denomin. =        0.5892088E+03

  global error =        0.1255747E-02 iter. number =   800 denomin. =        0.6429270E+03

  global error =        0.8516296E-03 iter. number =   900 denomin. =        0.6448386E+03

  global error =        0.8212904E-03 iter. number =  1000 denomin. =        0.6130679E+03

  global error =        0.8688722E-03 iter. number =  1100 denomin. =        0.5728519E+03

  global error =        0.7651177E-03 iter. number =  1200 denomin. =        0.5424262E+03

  global error =        0.5141245E-03 iter. number =  1300 denomin. =        0.5400188E+03

  global error =        0.4096708E-03 iter. number =  1400 denomin. =        0.5468401E+03

  global error =        0.3317122E-03 iter. number =  1500 denomin. =        0.5463601E+03

  global error =        0.2508521E-03 iter. number =  1600 denomin. =        0.5464763E+03

  global error =        0.2133007E-03 iter. number =  1700 denomin. =        0.5489660E+03

  global error =        0.2170143E-03 iter. number =  1800 denomin. =        0.5506637E+03

  global error =        0.2033247E-03 iter. number =  1900 denomin. =        0.5559131E+03

  global error =        0.1351187E-03 iter. number =  2000 denomin. =        0.5607206E+03

  global error =        0.1035478E-03 iter. number =  2100 denomin. =        0.5589790E+03

  convergence  for freq. #    45 achieved in  2139 inner iterations 
 relative error value =       0.99943972E-04


  frequency number    44 frequency :       0.32625000E+00
 jw  real sour, imag sour =     44     -0.41023E+00     -0.71827E+00

  global error =        0.5850738E-02 iter. number =   100 denomin. =        0.5554294E+03

  global error =        0.4118393E-02 iter. number =   200 denomin. =        0.5456679E+03

  global error =        0.3551810E-02 iter. number =   300 denomin. =        0.5786333E+03

  global error =        0.3059425E-02 iter. number =   400 denomin. =        0.6335038E+03

  global error =        0.2665605E-02 iter. number =   500 denomin. =        0.7136571E+03

  global error =        0.1830171E-02 iter. number =   600 denomin. =        0.7699670E+03

  global error =        0.1045683E-02 iter. number =   700 denomin. =        0.8185561E+03

  global error =        0.8876761E-03 iter. number =   800 denomin. =        0.8744072E+03

  global error =        0.6967811E-03 iter. number =   900 denomin. =        0.9102894E+03

  global error =        0.5866069E-03 iter. number =  1000 denomin. =        0.9300637E+03

  global error =        0.5339807E-03 iter. number =  1100 denomin. =        0.9472999E+03

  global error =        0.5551140E-03 iter. number =  1200 denomin. =        0.9723964E+03

  global error =        0.4256103E-03 iter. number =  1300 denomin. =        0.9827162E+03

  global error =        0.2593873E-03 iter. number =  1400 denomin. =        0.9827817E+03

  global error =        0.2330273E-03 iter. number =  1500 denomin. =        0.9825632E+03

  global error =        0.2121530E-03 iter. number =  1600 denomin. =        0.9765465E+03

  global error =        0.1857917E-03 iter. number =  1700 denomin. =        0.9649154E+03

  global error =        0.1489868E-03 iter. number =  1800 denomin. =        0.9537281E+03

  global error =        0.1464949E-03 iter. number =  1900 denomin. =        0.9472332E+03

  global error =        0.1256521E-03 iter. number =  2000 denomin. =        0.9397438E+03

  convergence  for freq. #    44 achieved in  2049 inner iterations 
 relative error value =       0.99903381E-04


  frequency number    43 frequency :       0.31875000E+00
 jw  real sour, imag sour =     43     -0.34457E+00     -0.74195E+00

  global error =        0.6893119E-02 iter. number =   100 denomin. =        0.9362090E+03

  global error =        0.5041119E-02 iter. number =   200 denomin. =        0.8292244E+03

  global error =        0.4751022E-02 iter. number =   300 denomin. =        0.7319617E+03

  global error =        0.3878484E-02 iter. number =   400 denomin. =        0.6460465E+03

  global error =        0.2549166E-02 iter. number =   500 denomin. =        0.6055939E+03

  global error =        0.1963580E-02 iter. number =   600 denomin. =        0.6274162E+03

  global error =        0.1696874E-02 iter. number =   700 denomin. =        0.6682038E+03

  global error =        0.1296715E-02 iter. number =   800 denomin. =        0.7361791E+03

  global error =        0.9714947E-03 iter. number =   900 denomin. =        0.8178421E+03

  global error =        0.8971746E-03 iter. number =  1000 denomin. =        0.8924287E+03

  global error =        0.7314446E-03 iter. number =  1100 denomin. =        0.9560979E+03

  global error =        0.4325143E-03 iter. number =  1200 denomin. =        0.9926930E+03

  global error =        0.3045888E-03 iter. number =  1300 denomin. =        0.1021337E+04

  global error =        0.2748907E-03 iter. number =  1400 denomin. =        0.1047762E+04

  global error =        0.2431073E-03 iter. number =  1500 denomin. =        0.1073163E+04

  global error =        0.1987755E-03 iter. number =  1600 denomin. =        0.1103364E+04

  global error =        0.1774040E-03 iter. number =  1700 denomin. =        0.1129952E+04

  global error =        0.1624356E-03 iter. number =  1800 denomin. =        0.1154027E+04

  global error =        0.1077520E-03 iter. number =  1900 denomin. =        0.1172163E+04

  convergence  for freq. #    43 achieved in  1916 inner iterations 
 relative error value =       0.99689000E-04


  frequency number    42 frequency :       0.31125000E+00
 jw  real sour, imag sour =     42     -0.27766E+00     -0.75918E+00

  global error =        0.7079930E-02 iter. number =   100 denomin. =        0.1247652E+04

  global error =        0.5127629E-02 iter. number =   200 denomin. =        0.1216413E+04

  global error =        0.4814425E-02 iter. number =   300 denomin. =        0.1092787E+04

  global error =        0.4649038E-02 iter. number =   400 denomin. =        0.9363053E+03

  global error =        0.4517353E-02 iter. number =   500 denomin. =        0.7689322E+03

  global error =        0.4061876E-02 iter. number =   600 denomin. =        0.5673530E+03

  global error =        0.3880008E-02 iter. number =   700 denomin. =        0.4001001E+03

  global error =        0.3953388E-02 iter. number =   800 denomin. =        0.3013371E+03

  global error =        0.3495314E-02 iter. number =   900 denomin. =        0.2779021E+03

  global error =        0.2859471E-02 iter. number =  1000 denomin. =        0.3119928E+03

  global error =        0.2109324E-02 iter. number =  1100 denomin. =        0.3673036E+03

  global error =        0.1681452E-02 iter. number =  1200 denomin. =        0.4089812E+03

  global error =        0.1408751E-02 iter. number =  1300 denomin. =        0.4211037E+03

  global error =        0.1225630E-02 iter. number =  1400 denomin. =        0.4038681E+03

  global error =        0.1109739E-02 iter. number =  1500 denomin. =        0.3703291E+03

  global error =        0.9629821E-03 iter. number =  1600 denomin. =        0.3357490E+03

  global error =        0.8473409E-03 iter. number =  1700 denomin. =        0.3129200E+03

  global error =        0.7087590E-03 iter. number =  1800 denomin. =        0.3050395E+03

  global error =        0.5945115E-03 iter. number =  1900 denomin. =        0.3105960E+03

  global error =        0.5010269E-03 iter. number =  2000 denomin. =        0.3230929E+03

  global error =        0.4152192E-03 iter. number =  2100 denomin. =        0.3359395E+03

  global error =        0.3505495E-03 iter. number =  2200 denomin. =        0.3439855E+03

  global error =        0.2893630E-03 iter. number =  2300 denomin. =        0.3457302E+03

  global error =        0.2461184E-03 iter. number =  2400 denomin. =        0.3422335E+03

  global error =        0.2097668E-03 iter. number =  2500 denomin. =        0.3362707E+03

  global error =        0.1795507E-03 iter. number =  2600 denomin. =        0.3307555E+03

  global error =        0.1538777E-03 iter. number =  2700 denomin. =        0.3276210E+03

  global error =        0.1286989E-03 iter. number =  2800 denomin. =        0.3272782E+03

  global error =        0.1086237E-03 iter. number =  2900 denomin. =        0.3289996E+03

  convergence  for freq. #    42 achieved in  2947 inner iterations 
 relative error value =       0.99856693E-04


  frequency number    41 frequency :       0.30375000E+00
 jw  real sour, imag sour =     41     -0.21017E+00     -0.76993E+00

  global error =        0.5698727E-02 iter. number =   100 denomin. =        0.3413292E+03

  global error =        0.3724962E-02 iter. number =   200 denomin. =        0.3734096E+03

  global error =        0.3016616E-02 iter. number =   300 denomin. =        0.4355634E+03

  global error =        0.2391715E-02 iter. number =   400 denomin. =        0.5058086E+03

  global error =        0.1902679E-02 iter. number =   500 denomin. =        0.5761430E+03

  global error =        0.1491435E-02 iter. number =   600 denomin. =        0.6332292E+03

  global error =        0.1165453E-02 iter. number =   700 denomin. =        0.6754011E+03

  global error =        0.9144134E-03 iter. number =   800 denomin. =        0.6890452E+03

  global error =        0.7082299E-03 iter. number =   900 denomin. =        0.6836706E+03

  global error =        0.5301841E-03 iter. number =  1000 denomin. =        0.6659263E+03

  global error =        0.4424330E-03 iter. number =  1100 denomin. =        0.6422626E+03

  global error =        0.3915812E-03 iter. number =  1200 denomin. =        0.6188944E+03

  global error =        0.3467559E-03 iter. number =  1300 denomin. =        0.5945084E+03

  global error =        0.2935888E-03 iter. number =  1400 denomin. =        0.5719623E+03

  global error =        0.2367498E-03 iter. number =  1500 denomin. =        0.5532041E+03

  global error =        0.1890179E-03 iter. number =  1600 denomin. =        0.5391642E+03

  global error =        0.1528169E-03 iter. number =  1700 denomin. =        0.5293780E+03

  global error =        0.1338030E-03 iter. number =  1800 denomin. =        0.5232893E+03

  global error =        0.1163179E-03 iter. number =  1900 denomin. =        0.5195888E+03

  convergence  for freq. #    41 achieved in  1975 inner iterations 
 relative error value =       0.99956092E-04


  frequency number    40 frequency :       0.29625000E+00
 jw  real sour, imag sour =     40     -0.14274E+00     -0.77421E+00

  global error =        0.5792808E-02 iter. number =   100 denomin. =        0.5417991E+03

  global error =        0.4285976E-02 iter. number =   200 denomin. =        0.5499104E+03

  global error =        0.3521885E-02 iter. number =   300 denomin. =        0.5668157E+03

  global error =        0.2727664E-02 iter. number =   400 denomin. =        0.5917832E+03

  global error =        0.1977504E-02 iter. number =   500 denomin. =        0.6197476E+03

  global error =        0.1433173E-02 iter. number =   600 denomin. =        0.6488939E+03

  global error =        0.1108041E-02 iter. number =   700 denomin. =        0.6819228E+03

  global error =        0.8785031E-03 iter. number =   800 denomin. =        0.7061088E+03

  global error =        0.7522539E-03 iter. number =   900 denomin. =        0.7149608E+03

  global error =        0.6619900E-03 iter. number =  1000 denomin. =        0.7057566E+03

  global error =        0.5625735E-03 iter. number =  1100 denomin. =        0.6887637E+03

  global error =        0.4565216E-03 iter. number =  1200 denomin. =        0.6729793E+03

  global error =        0.3482380E-03 iter. number =  1300 denomin. =        0.6618757E+03

  global error =        0.2721954E-03 iter. number =  1400 denomin. =        0.6564147E+03

  global error =        0.2281981E-03 iter. number =  1500 denomin. =        0.6533906E+03

  global error =        0.2011905E-03 iter. number =  1600 denomin. =        0.6498856E+03

  global error =        0.1764642E-03 iter. number =  1700 denomin. =        0.6452416E+03

  global error =        0.1519958E-03 iter. number =  1800 denomin. =        0.6412291E+03

  global error =        0.1263359E-03 iter. number =  1900 denomin. =        0.6392481E+03

  global error =        0.1026908E-03 iter. number =  2000 denomin. =        0.6392353E+03

  convergence  for freq. #    40 achieved in  2013 inner iterations 
 relative error value =       0.99904488E-04


  frequency number    39 frequency :       0.28875000E+00
 jw  real sour, imag sour =     39     -0.76048E-01     -0.77212E+00

  global error =        0.5665412E-02 iter. number =   100 denomin. =        0.6655565E+03

  global error =        0.4580546E-02 iter. number =   200 denomin. =        0.6593419E+03

  global error =        0.3973110E-02 iter. number =   300 denomin. =        0.6418041E+03

  global error =        0.3202313E-02 iter. number =   400 denomin. =        0.6035447E+03

  global error =        0.2478736E-02 iter. number =   500 denomin. =        0.5583369E+03

  global error =        0.1840848E-02 iter. number =   600 denomin. =        0.5236723E+03

  global error =        0.1468004E-02 iter. number =   700 denomin. =        0.5125137E+03

  global error =        0.1137702E-02 iter. number =   800 denomin. =        0.5291786E+03

  global error =        0.7805594E-03 iter. number =   900 denomin. =        0.5521465E+03

  global error =        0.6142266E-03 iter. number =  1000 denomin. =        0.5622353E+03

  global error =        0.5514589E-03 iter. number =  1100 denomin. =        0.5584131E+03

  global error =        0.4754872E-03 iter. number =  1200 denomin. =        0.5469690E+03

  global error =        0.3796666E-03 iter. number =  1300 denomin. =        0.5362721E+03

  global error =        0.3113696E-03 iter. number =  1400 denomin. =        0.5332749E+03

  global error =        0.2478920E-03 iter. number =  1500 denomin. =        0.5372932E+03

  global error =        0.1778928E-03 iter. number =  1600 denomin. =        0.5427728E+03

  global error =        0.1248769E-03 iter. number =  1700 denomin. =        0.5452488E+03

  global error =        0.1080962E-03 iter. number =  1800 denomin. =        0.5444674E+03

  convergence  for freq. #    39 achieved in  1881 inner iterations 
 relative error value =       0.99920715E-04


  frequency number    38 frequency :       0.28125000E+00
 jw  real sour, imag sour =     38     -0.10714E-01     -0.76381E+00

  global error =        0.4879858E-02 iter. number =   100 denomin. =        0.5585047E+03

  global error =        0.3959763E-02 iter. number =   200 denomin. =        0.5429005E+03

  global error =        0.3230414E-02 iter. number =   300 denomin. =        0.5333832E+03

  global error =        0.2408078E-02 iter. number =   400 denomin. =        0.5257709E+03

  global error =        0.1845811E-02 iter. number =   500 denomin. =        0.5150612E+03

  global error =        0.1221519E-02 iter. number =   600 denomin. =        0.4964845E+03

  global error =        0.8340707E-03 iter. number =   700 denomin. =        0.4762543E+03

  global error =        0.6737917E-03 iter. number =   800 denomin. =        0.4672283E+03

  global error =        0.4595236E-03 iter. number =   900 denomin. =        0.4669016E+03

  global error =        0.3192702E-03 iter. number =  1000 denomin. =        0.4729268E+03

  global error =        0.2435882E-03 iter. number =  1100 denomin. =        0.4801476E+03

  global error =        0.1983955E-03 iter. number =  1200 denomin. =        0.4864124E+03

  global error =        0.1502171E-03 iter. number =  1300 denomin. =        0.4912613E+03

  global error =        0.1117990E-03 iter. number =  1400 denomin. =        0.4932868E+03

  convergence  for freq. #    38 achieved in  1437 inner iterations 
 relative error value =       0.99926964E-04


  frequency number    37 frequency :       0.27375000E+00
 jw  real sour, imag sour =     37      0.52644E-01     -0.74950E+00

  global error =        0.5307128E-02 iter. number =   100 denomin. =        0.5112293E+03

  global error =        0.4386081E-02 iter. number =   200 denomin. =        0.4922427E+03

  global error =        0.3582095E-02 iter. number =   300 denomin. =        0.4535667E+03

  global error =        0.2615886E-02 iter. number =   400 denomin. =        0.4218870E+03

  global error =        0.1745032E-02 iter. number =   500 denomin. =        0.4032339E+03

  global error =        0.1127001E-02 iter. number =   600 denomin. =        0.4034393E+03

  global error =        0.9060173E-03 iter. number =   700 denomin. =        0.4233226E+03

  global error =        0.6473786E-03 iter. number =   800 denomin. =        0.4494912E+03

  global error =        0.4383741E-03 iter. number =   900 denomin. =        0.4696985E+03

  global error =        0.3511720E-03 iter. number =  1000 denomin. =        0.4847628E+03

  global error =        0.3099297E-03 iter. number =  1100 denomin. =        0.4957798E+03

  global error =        0.2602692E-03 iter. number =  1200 denomin. =        0.5042336E+03

  global error =        0.1914194E-03 iter. number =  1300 denomin. =        0.5082549E+03

  global error =        0.1597712E-03 iter. number =  1400 denomin. =        0.5083361E+03

  global error =        0.1329234E-03 iter. number =  1500 denomin. =        0.5067718E+03

  global error =        0.1022473E-03 iter. number =  1600 denomin. =        0.5042582E+03

  convergence  for freq. #    37 achieved in  1612 inner iterations 
 relative error value =       0.99843030E-04


  frequency number    36 frequency :       0.26625000E+00
 jw  real sour, imag sour =     36      0.11344E+00     -0.72948E+00

  global error =        0.6391257E-02 iter. number =   100 denomin. =        0.5298312E+03

  global error =        0.4715331E-02 iter. number =   200 denomin. =        0.5431277E+03

  global error =        0.4053766E-02 iter. number =   300 denomin. =        0.5503444E+03

  global error =        0.3465363E-02 iter. number =   400 denomin. =        0.5508792E+03

  global error =        0.2901678E-02 iter. number =   500 denomin. =        0.5333546E+03

  global error =        0.2182236E-02 iter. number =   600 denomin. =        0.4953851E+03

  global error =        0.1686454E-02 iter. number =   700 denomin. =        0.4530592E+03

  global error =        0.1582007E-02 iter. number =   800 denomin. =        0.4047691E+03

  global error =        0.1450471E-02 iter. number =   900 denomin. =        0.3398682E+03

  global error =        0.1296483E-02 iter. number =  1000 denomin. =        0.2853506E+03

  global error =        0.1126869E-02 iter. number =  1100 denomin. =        0.2533841E+03

  global error =        0.9782598E-03 iter. number =  1200 denomin. =        0.2385351E+03

  global error =        0.7365769E-03 iter. number =  1300 denomin. =        0.2369870E+03

  global error =        0.5047871E-03 iter. number =  1400 denomin. =        0.2453850E+03

  global error =        0.4271366E-03 iter. number =  1500 denomin. =        0.2565304E+03

  global error =        0.4055362E-03 iter. number =  1600 denomin. =        0.2681088E+03

  global error =        0.3470141E-03 iter. number =  1700 denomin. =        0.2781245E+03

  global error =        0.2591743E-03 iter. number =  1800 denomin. =        0.2841533E+03

  global error =        0.1968136E-03 iter. number =  1900 denomin. =        0.2863907E+03

  global error =        0.1544639E-03 iter. number =  2000 denomin. =        0.2859062E+03

  global error =        0.1223291E-03 iter. number =  2100 denomin. =        0.2829527E+03

  global error =        0.1063278E-03 iter. number =  2200 denomin. =        0.2790969E+03

  convergence  for freq. #    36 achieved in  2290 inner iterations 
 relative error value =       0.99995142E-04


  frequency number    35 frequency :       0.25875000E+00
 jw  real sour, imag sour =     35      0.17113E+00     -0.70410E+00

  global error =        0.6315562E-02 iter. number =   100 denomin. =        0.2798061E+03

  global error =        0.4202267E-02 iter. number =   200 denomin. =        0.2856786E+03

  global error =        0.3410766E-02 iter. number =   300 denomin. =        0.3200392E+03

  global error =        0.2633281E-02 iter. number =   400 denomin. =        0.3713276E+03

  global error =        0.2074551E-02 iter. number =   500 denomin. =        0.4380420E+03

  global error =        0.1663509E-02 iter. number =   600 denomin. =        0.4997838E+03

  global error =        0.1405027E-02 iter. number =   700 denomin. =        0.5593779E+03

  global error =        0.1160663E-02 iter. number =   800 denomin. =        0.6050473E+03

  global error =        0.8112969E-03 iter. number =   900 denomin. =        0.6295925E+03

  global error =        0.6788882E-03 iter. number =  1000 denomin. =        0.6391865E+03

  global error =        0.5943694E-03 iter. number =  1100 denomin. =        0.6384173E+03

  global error =        0.5211013E-03 iter. number =  1200 denomin. =        0.6344635E+03

  global error =        0.4607336E-03 iter. number =  1300 denomin. =        0.6249810E+03

  global error =        0.4017630E-03 iter. number =  1400 denomin. =        0.6126959E+03

  global error =        0.3629930E-03 iter. number =  1500 denomin. =        0.5978241E+03

  global error =        0.2980656E-03 iter. number =  1600 denomin. =        0.5800346E+03

  global error =        0.2558294E-03 iter. number =  1700 denomin. =        0.5623820E+03

  global error =        0.2251308E-03 iter. number =  1800 denomin. =        0.5447606E+03

  global error =        0.1996005E-03 iter. number =  1900 denomin. =        0.5283081E+03

  global error =        0.1805579E-03 iter. number =  2000 denomin. =        0.5135729E+03

  global error =        0.1575969E-03 iter. number =  2100 denomin. =        0.5007657E+03

  global error =        0.1393441E-03 iter. number =  2200 denomin. =        0.4901068E+03

  global error =        0.1185575E-03 iter. number =  2300 denomin. =        0.4816924E+03

  global error =        0.1025517E-03 iter. number =  2400 denomin. =        0.4752307E+03

  convergence  for freq. #    35 achieved in  2420 inner iterations 
 relative error value =       0.99881666E-04


  frequency number    34 frequency :       0.25125000E+00
 jw  real sour, imag sour =     34      0.22520E+00     -0.67377E+00

  global error =        0.7131283E-02 iter. number =   100 denomin. =        0.4950170E+03

  global error =        0.5016869E-02 iter. number =   200 denomin. =        0.4633406E+03

  global error =        0.4456203E-02 iter. number =   300 denomin. =        0.4380071E+03

  global error =        0.3905183E-02 iter. number =   400 denomin. =        0.4326248E+03

  global error =        0.3063203E-02 iter. number =   500 denomin. =        0.4405715E+03

  global error =        0.2438151E-02 iter. number =   600 denomin. =        0.4660077E+03

  global error =        0.2200257E-02 iter. number =   700 denomin. =        0.5212097E+03

  global error =        0.1815664E-02 iter. number =   800 denomin. =        0.5990869E+03

  global error =        0.1373445E-02 iter. number =   900 denomin. =        0.6684701E+03

  global error =        0.1104378E-02 iter. number =  1000 denomin. =        0.7077121E+03

  global error =        0.8905344E-03 iter. number =  1100 denomin. =        0.7190955E+03

  global error =        0.7367732E-03 iter. number =  1200 denomin. =        0.7122338E+03

  global error =        0.6296430E-03 iter. number =  1300 denomin. =        0.7083459E+03

  global error =        0.5698163E-03 iter. number =  1400 denomin. =        0.7216213E+03

  global error =        0.5118795E-03 iter. number =  1500 denomin. =        0.7477936E+03

  global error =        0.4229994E-03 iter. number =  1600 denomin. =        0.7715712E+03

  global error =        0.3469010E-03 iter. number =  1700 denomin. =        0.7822811E+03

  global error =        0.2835489E-03 iter. number =  1800 denomin. =        0.7817444E+03

  global error =        0.2384742E-03 iter. number =  1900 denomin. =        0.7776237E+03

  global error =        0.2108877E-03 iter. number =  2000 denomin. =        0.7762312E+03

  global error =        0.1854680E-03 iter. number =  2100 denomin. =        0.7802095E+03

  global error =        0.1638896E-03 iter. number =  2200 denomin. =        0.7878506E+03

  global error =        0.1378157E-03 iter. number =  2300 denomin. =        0.7945229E+03

  global error =        0.1134331E-03 iter. number =  2400 denomin. =        0.7966226E+03

  convergence  for freq. #    34 achieved in  2475 inner iterations 
 relative error value =       0.99983758E-04


  frequency number    33 frequency :       0.24375000E+00
 jw  real sour, imag sour =     33      0.27521E+00     -0.63892E+00

  global error =        0.6973151E-02 iter. number =   100 denomin. =        0.8492074E+03

  global error =        0.4945635E-02 iter. number =   200 denomin. =        0.8521478E+03

  global error =        0.4594097E-02 iter. number =   300 denomin. =        0.8569815E+03

  global error =        0.4370948E-02 iter. number =   400 denomin. =        0.8411423E+03

  global error =        0.3980494E-02 iter. number =   500 denomin. =        0.8188494E+03

  global error =        0.3334886E-02 iter. number =   600 denomin. =        0.7425704E+03

  global error =        0.2764524E-02 iter. number =   700 denomin. =        0.6098559E+03

  global error =        0.2426459E-02 iter. number =   800 denomin. =        0.4829040E+03

  global error =        0.2039975E-02 iter. number =   900 denomin. =        0.4190977E+03

  global error =        0.1824376E-02 iter. number =  1000 denomin. =        0.4115503E+03

  global error =        0.1626064E-02 iter. number =  1100 denomin. =        0.4387772E+03

  global error =        0.1419452E-02 iter. number =  1200 denomin. =        0.4872121E+03

  global error =        0.1115282E-02 iter. number =  1300 denomin. =        0.5355456E+03

  global error =        0.8077489E-03 iter. number =  1400 denomin. =        0.5593160E+03

  global error =        0.6372970E-03 iter. number =  1500 denomin. =        0.5561201E+03

  global error =        0.5595235E-03 iter. number =  1600 denomin. =        0.5394552E+03

  global error =        0.5127423E-03 iter. number =  1700 denomin. =        0.5199925E+03

  global error =        0.4506006E-03 iter. number =  1800 denomin. =        0.5026834E+03

  global error =        0.3826712E-03 iter. number =  1900 denomin. =        0.4937469E+03

  global error =        0.3142451E-03 iter. number =  2000 denomin. =        0.4954937E+03

  global error =        0.2438982E-03 iter. number =  2100 denomin. =        0.5034181E+03

  global error =        0.1979186E-03 iter. number =  2200 denomin. =        0.5118185E+03

  global error =        0.1735677E-03 iter. number =  2300 denomin. =        0.5181328E+03

  global error =        0.1555818E-03 iter. number =  2400 denomin. =        0.5212912E+03

  global error =        0.1322089E-03 iter. number =  2500 denomin. =        0.5206721E+03

  global error =        0.1051977E-03 iter. number =  2600 denomin. =        0.5173059E+03

  convergence  for freq. #    33 achieved in  2622 inner iterations 
 relative error value =       0.99925727E-04


  frequency number    32 frequency :       0.23625000E+00
 jw  real sour, imag sour =     32      0.32074E+00     -0.60007E+00

  global error =        0.6476299E-02 iter. number =   100 denomin. =        0.5441968E+03

  global error =        0.4285858E-02 iter. number =   200 denomin. =        0.5448241E+03

  global error =        0.3743217E-02 iter. number =   300 denomin. =        0.5523172E+03

  global error =        0.2966448E-02 iter. number =   400 denomin. =        0.5495668E+03

  global error =        0.2048642E-02 iter. number =   500 denomin. =        0.5496437E+03

  global error =        0.1808218E-02 iter. number =   600 denomin. =        0.5586025E+03

  global error =        0.1611537E-02 iter. number =   700 denomin. =        0.5566025E+03

  global error =        0.1211620E-02 iter. number =   800 denomin. =        0.5387842E+03

  global error =        0.8232465E-03 iter. number =   900 denomin. =        0.5171279E+03

  global error =        0.5975369E-03 iter. number =  1000 denomin. =        0.5033027E+03

  global error =        0.4259689E-03 iter. number =  1100 denomin. =        0.5025811E+03

  global error =        0.3473348E-03 iter. number =  1200 denomin. =        0.5099424E+03

  global error =        0.2949062E-03 iter. number =  1300 denomin. =        0.5160656E+03

  global error =        0.3013999E-03 iter. number =  1400 denomin. =        0.5221732E+03

  global error =        0.2771443E-03 iter. number =  1500 denomin. =        0.5306864E+03

  global error =        0.2107412E-03 iter. number =  1600 denomin. =        0.5401802E+03

  global error =        0.1594786E-03 iter. number =  1700 denomin. =        0.5462723E+03

  global error =        0.1124391E-03 iter. number =  1800 denomin. =        0.5478837E+03

  convergence  for freq. #    32 achieved in  1853 inner iterations 
 relative error value =       0.99977783E-04


  frequency number    31 frequency :       0.22875000E+00
 jw  real sour, imag sour =     31      0.36145E+00     -0.55773E+00

  global error =        0.6826576E-02 iter. number =   100 denomin. =        0.5796146E+03

  global error =        0.5108217E-02 iter. number =   200 denomin. =        0.5769062E+03

  global error =        0.4645124E-02 iter. number =   300 denomin. =        0.5528082E+03

  global error =        0.4074452E-02 iter. number =   400 denomin. =        0.5074267E+03

  global error =        0.3521148E-02 iter. number =   500 denomin. =        0.4289849E+03

  global error =        0.2599340E-02 iter. number =   600 denomin. =        0.3382556E+03

  global error =        0.1477354E-02 iter. number =   700 denomin. =        0.2817584E+03

  global error =        0.1078317E-02 iter. number =   800 denomin. =        0.2601871E+03

  global error =        0.9985648E-03 iter. number =   900 denomin. =        0.2478689E+03

  global error =        0.8366592E-03 iter. number =  1000 denomin. =        0.2424499E+03

  global error =        0.8591338E-03 iter. number =  1100 denomin. =        0.2376782E+03

  global error =        0.8553263E-03 iter. number =  1200 denomin. =        0.2314592E+03

  global error =        0.6241602E-03 iter. number =  1300 denomin. =        0.2326243E+03

  global error =        0.4230624E-03 iter. number =  1400 denomin. =        0.2392996E+03

  global error =        0.3505542E-03 iter. number =  1500 denomin. =        0.2438942E+03

  global error =        0.3353800E-03 iter. number =  1600 denomin. =        0.2467472E+03

  global error =        0.2833101E-03 iter. number =  1700 denomin. =        0.2476490E+03

  global error =        0.1946411E-03 iter. number =  1800 denomin. =        0.2464725E+03

  global error =        0.1523264E-03 iter. number =  1900 denomin. =        0.2467035E+03

  global error =        0.1128459E-03 iter. number =  2000 denomin. =        0.2481012E+03

  convergence  for freq. #    31 achieved in  2039 inner iterations 
 relative error value =       0.99834887E-04


  frequency number    30 frequency :       0.22125000E+00
 jw  real sour, imag sour =     30      0.39707E+00     -0.51249E+00

  global error =        0.6174334E-02 iter. number =   100 denomin. =        0.2566428E+03

  global error =        0.4574132E-02 iter. number =   200 denomin. =        0.2595010E+03

  global error =        0.3807548E-02 iter. number =   300 denomin. =        0.2788096E+03

  global error =        0.2908886E-02 iter. number =   400 denomin. =        0.3100092E+03

  global error =        0.2240841E-02 iter. number =   500 denomin. =        0.3501261E+03

  global error =        0.1618534E-02 iter. number =   600 denomin. =        0.3762587E+03

  global error =        0.1204312E-02 iter. number =   700 denomin. =        0.3925080E+03

  global error =        0.1066501E-02 iter. number =   800 denomin. =        0.4108579E+03

  global error =        0.9265370E-03 iter. number =   900 denomin. =        0.4212022E+03

  global error =        0.8201122E-03 iter. number =  1000 denomin. =        0.4206308E+03

  global error =        0.5886588E-03 iter. number =  1100 denomin. =        0.4158457E+03

  global error =        0.4803077E-03 iter. number =  1200 denomin. =        0.4146495E+03

  global error =        0.3797404E-03 iter. number =  1300 denomin. =        0.4118855E+03

  global error =        0.2681137E-03 iter. number =  1400 denomin. =        0.4044250E+03

  global error =        0.2464676E-03 iter. number =  1500 denomin. =        0.3965371E+03

  global error =        0.2530130E-03 iter. number =  1600 denomin. =        0.3887732E+03

  global error =        0.2517302E-03 iter. number =  1700 denomin. =        0.3802117E+03

  global error =        0.1767623E-03 iter. number =  1800 denomin. =        0.3725516E+03

  global error =        0.1175253E-03 iter. number =  1900 denomin. =        0.3680373E+03

  global error =        0.1023550E-03 iter. number =  2000 denomin. =        0.3647423E+03

  convergence  for freq. #    30 achieved in  2015 inner iterations 
 relative error value =       0.99873602E-04


  frequency number    29 frequency :       0.21375000E+00
 jw  real sour, imag sour =     29      0.42736E+00     -0.46493E+00

  global error =        0.6804120E-02 iter. number =   100 denomin. =        0.3733885E+03

  global error =        0.4882633E-02 iter. number =   200 denomin. =        0.3234686E+03

  global error =        0.4435377E-02 iter. number =   300 denomin. =        0.2782005E+03

  global error =        0.3771068E-02 iter. number =   400 denomin. =        0.2487942E+03

  global error =        0.2746328E-02 iter. number =   500 denomin. =        0.2418982E+03

  global error =        0.2152888E-02 iter. number =   600 denomin. =        0.2639678E+03

  global error =        0.2032902E-02 iter. number =   700 denomin. =        0.3018905E+03

  global error =        0.1664820E-02 iter. number =   800 denomin. =        0.3567445E+03

  global error =        0.1035641E-02 iter. number =   900 denomin. =        0.3994554E+03

  global error =        0.6534677E-03 iter. number =  1000 denomin. =        0.4183571E+03

  global error =        0.5217652E-03 iter. number =  1100 denomin. =        0.4308492E+03

  global error =        0.4808297E-03 iter. number =  1200 denomin. =        0.4406329E+03

  global error =        0.4246433E-03 iter. number =  1300 denomin. =        0.4552154E+03

  global error =        0.3348174E-03 iter. number =  1400 denomin. =        0.4708008E+03

  global error =        0.2950235E-03 iter. number =  1500 denomin. =        0.4834611E+03

  global error =        0.2136684E-03 iter. number =  1600 denomin. =        0.4937607E+03

  global error =        0.1595211E-03 iter. number =  1700 denomin. =        0.4969496E+03

  global error =        0.1423826E-03 iter. number =  1800 denomin. =        0.4978899E+03

  global error =        0.1353580E-03 iter. number =  1900 denomin. =        0.4987832E+03

  global error =        0.1303066E-03 iter. number =  2000 denomin. =        0.4992526E+03

  convergence  for freq. #    29 achieved in  2086 inner iterations 
 relative error value =       0.99926198E-04


  frequency number    28 frequency :       0.20625000E+00
 jw  real sour, imag sour =     28      0.45218E+00     -0.41565E+00

  global error =        0.7375785E-02 iter. number =   100 denomin. =        0.5358872E+03

  global error =        0.5092178E-02 iter. number =   200 denomin. =        0.5467593E+03

  global error =        0.4680614E-02 iter. number =   300 denomin. =        0.5431098E+03

  global error =        0.4418939E-02 iter. number =   400 denomin. =        0.5314935E+03

  global error =        0.4155561E-02 iter. number =   500 denomin. =        0.5116136E+03

  global error =        0.3477155E-02 iter. number =   600 denomin. =        0.4608386E+03

  global error =        0.3173784E-02 iter. number =   700 denomin. =        0.3940229E+03

  global error =        0.3111470E-02 iter. number =   800 denomin. =        0.3074281E+03

  global error =        0.3007965E-02 iter. number =   900 denomin. =        0.2282904E+03

  global error =        0.3036274E-02 iter. number =  1000 denomin. =        0.1837174E+03

  global error =        0.2777565E-02 iter. number =  1100 denomin. =        0.1713209E+03

  global error =        0.2421969E-02 iter. number =  1200 denomin. =        0.1841087E+03

  global error =        0.1847989E-02 iter. number =  1300 denomin. =        0.2101802E+03

  global error =        0.1465834E-02 iter. number =  1400 denomin. =        0.2344634E+03

  global error =        0.1263448E-02 iter. number =  1500 denomin. =        0.2478271E+03

  global error =        0.1100358E-02 iter. number =  1600 denomin. =        0.2480439E+03

  global error =        0.1011882E-02 iter. number =  1700 denomin. =        0.2376508E+03

  global error =        0.8975934E-03 iter. number =  1800 denomin. =        0.2216541E+03

  global error =        0.8154007E-03 iter. number =  1900 denomin. =        0.2059243E+03

  global error =        0.7059156E-03 iter. number =  2000 denomin. =        0.1939980E+03

  global error =        0.6129146E-03 iter. number =  2100 denomin. =        0.1884786E+03

  global error =        0.5438195E-03 iter. number =  2200 denomin. =        0.1890015E+03

  global error =        0.4686161E-03 iter. number =  2300 denomin. =        0.1938565E+03

  global error =        0.4087990E-03 iter. number =  2400 denomin. =        0.2004858E+03

  global error =        0.3439206E-03 iter. number =  2500 denomin. =        0.2065993E+03

  global error =        0.2970647E-03 iter. number =  2600 denomin. =        0.2104998E+03

  global error =        0.2544265E-03 iter. number =  2700 denomin. =        0.2116080E+03

  global error =        0.2210233E-03 iter. number =  2800 denomin. =        0.2102133E+03

  global error =        0.1969422E-03 iter. number =  2900 denomin. =        0.2073878E+03

  global error =        0.1727158E-03 iter. number =  3000 denomin. =        0.2041922E+03

  global error =        0.1529026E-03 iter. number =  3100 denomin. =        0.2016273E+03

  global error =        0.1312602E-03 iter. number =  3200 denomin. =        0.2002535E+03

  global error =        0.1143702E-03 iter. number =  3300 denomin. =        0.2001681E+03

  convergence  for freq. #    28 achieved in  3394 inner iterations 
 relative error value =       0.99933391E-04


  frequency number    27 frequency :       0.19875000E+00
 jw  real sour, imag sour =     27      0.47146E+00     -0.36528E+00

  global error =        0.6909456E-02 iter. number =   100 denomin. =        0.2144949E+03

  global error =        0.4198427E-02 iter. number =   200 denomin. =        0.2292804E+03

  global error =        0.3543230E-02 iter. number =   300 denomin. =        0.2592513E+03

  global error =        0.2855945E-02 iter. number =   400 denomin. =        0.2978842E+03

  global error =        0.2290557E-02 iter. number =   500 denomin. =        0.3456462E+03

  global error =        0.1976699E-02 iter. number =   600 denomin. =        0.3918812E+03

  global error =        0.1757567E-02 iter. number =   700 denomin. =        0.4376459E+03

  global error =        0.1365583E-02 iter. number =   800 denomin. =        0.4680181E+03

  global error =        0.9126846E-03 iter. number =   900 denomin. =        0.4769651E+03

  global error =        0.6987578E-03 iter. number =  1000 denomin. =        0.4717716E+03

  global error =        0.5964826E-03 iter. number =  1100 denomin. =        0.4553413E+03

  global error =        0.5665613E-03 iter. number =  1200 denomin. =        0.4376808E+03

  global error =        0.5340811E-03 iter. number =  1300 denomin. =        0.4165637E+03

  global error =        0.4900632E-03 iter. number =  1400 denomin. =        0.3920259E+03

  global error =        0.4162971E-03 iter. number =  1500 denomin. =        0.3676787E+03

  global error =        0.3282333E-03 iter. number =  1600 denomin. =        0.3476750E+03

  global error =        0.2716648E-03 iter. number =  1700 denomin. =        0.3333691E+03

  global error =        0.2397930E-03 iter. number =  1800 denomin. =        0.3233333E+03

  global error =        0.2264562E-03 iter. number =  1900 denomin. =        0.3159021E+03

  global error =        0.1951522E-03 iter. number =  2000 denomin. =        0.3110903E+03

  global error =        0.1584653E-03 iter. number =  2100 denomin. =        0.3092782E+03

  global error =        0.1235484E-03 iter. number =  2200 denomin. =        0.3098265E+03

  convergence  for freq. #    27 achieved in  2299 inner iterations 
 relative error value =       0.99868433E-04


  frequency number    26 frequency :       0.19125000E+00
 jw  real sour, imag sour =     26      0.48516E+00     -0.31442E+00

  global error =        0.7691192E-02 iter. number =   100 denomin. =        0.3297157E+03

  global error =        0.5086824E-02 iter. number =   200 denomin. =        0.3174246E+03

  global error =        0.4660564E-02 iter. number =   300 denomin. =        0.3126612E+03

  global error =        0.4256990E-02 iter. number =   400 denomin. =        0.3083553E+03

  global error =        0.3474859E-02 iter. number =   500 denomin. =        0.2910418E+03

  global error =        0.2619454E-02 iter. number =   600 denomin. =        0.2798191E+03

  global error =        0.2140368E-02 iter. number =   700 denomin. =        0.2956750E+03

  global error =        0.1754624E-02 iter. number =   800 denomin. =        0.3290595E+03

  global error =        0.1573155E-02 iter. number =   900 denomin. =        0.3581826E+03

  global error =        0.1420825E-02 iter. number =  1000 denomin. =        0.3728032E+03

  global error =        0.1186965E-02 iter. number =  1100 denomin. =        0.3657364E+03

  global error =        0.1014249E-02 iter. number =  1200 denomin. =        0.3414320E+03

  global error =        0.8494565E-03 iter. number =  1300 denomin. =        0.3201632E+03

  global error =        0.6968157E-03 iter. number =  1400 denomin. =        0.3141837E+03

  global error =        0.5953130E-03 iter. number =  1500 denomin. =        0.3189576E+03

  global error =        0.5551435E-03 iter. number =  1600 denomin. =        0.3238847E+03

  global error =        0.5205185E-03 iter. number =  1700 denomin. =        0.3224560E+03

  global error =        0.4418832E-03 iter. number =  1800 denomin. =        0.3161552E+03

  global error =        0.3662184E-03 iter. number =  1900 denomin. =        0.3099005E+03

  global error =        0.3135859E-03 iter. number =  2000 denomin. =        0.3074066E+03

  global error =        0.2720782E-03 iter. number =  2100 denomin. =        0.3092511E+03

  global error =        0.2392325E-03 iter. number =  2200 denomin. =        0.3130612E+03

  global error =        0.2022774E-03 iter. number =  2300 denomin. =        0.3151839E+03

  global error =        0.1765148E-03 iter. number =  2400 denomin. =        0.3139556E+03

  global error =        0.1571892E-03 iter. number =  2500 denomin. =        0.3110770E+03

  global error =        0.1371662E-03 iter. number =  2600 denomin. =        0.3092053E+03

  global error =        0.1196025E-03 iter. number =  2700 denomin. =        0.3092629E+03

  global error =        0.9993448E-04 iter. number =  2800 denomin. =        0.3104626E+03

  convergence  for freq. #    26 achieved in  2800 inner iterations 
 relative error value =       0.99934477E-04


  frequency number    25 frequency :       0.18375000E+00
 jw  real sour, imag sour =     25      0.49336E+00     -0.26371E+00

  global error =        0.7469956E-02 iter. number =   100 denomin. =        0.3290001E+03

  global error =        0.5057105E-02 iter. number =   200 denomin. =        0.3254848E+03

  global error =        0.4617266E-02 iter. number =   300 denomin. =        0.3341207E+03

  global error =        0.4006864E-02 iter. number =   400 denomin. =        0.3403027E+03

  global error =        0.3432632E-02 iter. number =   500 denomin. =        0.3543417E+03

  global error =        0.2821263E-02 iter. number =   600 denomin. =        0.3451221E+03

  global error =        0.1960354E-02 iter. number =   700 denomin. =        0.3076080E+03

  global error =        0.1293862E-02 iter. number =   800 denomin. =        0.2763844E+03

  global error =        0.8946688E-03 iter. number =   900 denomin. =        0.2673309E+03

  global error =        0.7631525E-03 iter. number =  1000 denomin. =        0.2704370E+03

  global error =        0.7516658E-03 iter. number =  1100 denomin. =        0.2760907E+03

  global error =        0.7644507E-03 iter. number =  1200 denomin. =        0.2829858E+03

  global error =        0.6645878E-03 iter. number =  1300 denomin. =        0.2863810E+03

  global error =        0.5524242E-03 iter. number =  1400 denomin. =        0.2803563E+03

  global error =        0.4228571E-03 iter. number =  1500 denomin. =        0.2697093E+03

  global error =        0.2773949E-03 iter. number =  1600 denomin. =        0.2627049E+03

  global error =        0.2229975E-03 iter. number =  1700 denomin. =        0.2598534E+03

  global error =        0.2162505E-03 iter. number =  1800 denomin. =        0.2581648E+03

  global error =        0.2064879E-03 iter. number =  1900 denomin. =        0.2574912E+03

  global error =        0.1631527E-03 iter. number =  2000 denomin. =        0.2580246E+03

  global error =        0.1332555E-03 iter. number =  2100 denomin. =        0.2578879E+03

  global error =        0.1106443E-03 iter. number =  2200 denomin. =        0.2563888E+03

  convergence  for freq. #    25 achieved in  2233 inner iterations 
 relative error value =       0.99812457E-04


  frequency number    24 frequency :       0.17625000E+00
 jw  real sour, imag sour =     24      0.49617E+00     -0.21372E+00

  global error =        0.6750326E-02 iter. number =   100 denomin. =        0.2673700E+03

  global error =        0.4533097E-02 iter. number =   200 denomin. =        0.2458665E+03

  global error =        0.3994751E-02 iter. number =   300 denomin. =        0.2274544E+03

  global error =        0.3233294E-02 iter. number =   400 denomin. =        0.2060683E+03

  global error =        0.2315724E-02 iter. number =   500 denomin. =        0.1921677E+03

  global error =        0.1824196E-02 iter. number =   600 denomin. =        0.1867565E+03

  global error =        0.1610734E-02 iter. number =   700 denomin. =        0.1834008E+03

  global error =        0.1276050E-02 iter. number =   800 denomin. =        0.1875573E+03

  global error =        0.8861531E-03 iter. number =   900 denomin. =        0.1963520E+03

  global error =        0.7343654E-03 iter. number =  1000 denomin. =        0.2032797E+03

  global error =        0.6010497E-03 iter. number =  1100 denomin. =        0.2065824E+03

  global error =        0.4614591E-03 iter. number =  1200 denomin. =        0.2048111E+03

  global error =        0.3312305E-03 iter. number =  1300 denomin. =        0.2020715E+03

  global error =        0.2775335E-03 iter. number =  1400 denomin. =        0.2005636E+03

  global error =        0.2453322E-03 iter. number =  1500 denomin. =        0.1992784E+03

  global error =        0.1971586E-03 iter. number =  1600 denomin. =        0.1986626E+03

  global error =        0.1714643E-03 iter. number =  1700 denomin. =        0.1985022E+03

  global error =        0.1474561E-03 iter. number =  1800 denomin. =        0.1987194E+03

  global error =        0.1225335E-03 iter. number =  1900 denomin. =        0.1990165E+03

  convergence  for freq. #    24 achieved in  1979 inner iterations 
 relative error value =       0.99891858E-04


  frequency number    23 frequency :       0.16875000E+00
 jw  real sour, imag sour =     23      0.49378E+00     -0.16505E+00

  global error =        0.6764014E-02 iter. number =   100 denomin. =        0.2083109E+03

  global error =        0.4849231E-02 iter. number =   200 denomin. =        0.2041438E+03

  global error =        0.4253065E-02 iter. number =   300 denomin. =        0.1908101E+03

  global error =        0.3559024E-02 iter. number =   400 denomin. =        0.1713105E+03

  global error =        0.2956101E-02 iter. number =   500 denomin. =        0.1457011E+03

  global error =        0.2414869E-02 iter. number =   600 denomin. =        0.1203520E+03

  global error =        0.1888660E-02 iter. number =   700 denomin. =        0.1050908E+03

  global error =        0.1424946E-02 iter. number =   800 denomin. =        0.1043760E+03

  global error =        0.1075860E-02 iter. number =   900 denomin. =        0.1086153E+03

  global error =        0.7947550E-03 iter. number =  1000 denomin. =        0.1133802E+03

  global error =        0.6054810E-03 iter. number =  1100 denomin. =        0.1146914E+03

  global error =        0.5216703E-03 iter. number =  1200 denomin. =        0.1123228E+03

  global error =        0.5011911E-03 iter. number =  1300 denomin. =        0.1084164E+03

  global error =        0.4504140E-03 iter. number =  1400 denomin. =        0.1044168E+03

  global error =        0.3205347E-03 iter. number =  1500 denomin. =        0.1015670E+03

  global error =        0.2133213E-03 iter. number =  1600 denomin. =        0.1011103E+03

  global error =        0.1784931E-03 iter. number =  1700 denomin. =        0.1022405E+03

  global error =        0.1707481E-03 iter. number =  1800 denomin. =        0.1038688E+03

  global error =        0.1456362E-03 iter. number =  1900 denomin. =        0.1053831E+03

  convergence  for freq. #    23 achieved in  1995 inner iterations 
 relative error value =       0.99628582E-04


  frequency number    22 frequency :       0.16125000E+00
 jw  real sour, imag sour =     22      0.48644E+00     -0.11823E+00

  global error =        0.6623202E-02 iter. number =   100 denomin. =        0.1105687E+03

  global error =        0.4363740E-02 iter. number =   200 denomin. =        0.1105130E+03

  global error =        0.3412371E-02 iter. number =   300 denomin. =        0.1183524E+03

  global error =        0.2532546E-02 iter. number =   400 denomin. =        0.1308201E+03

  global error =        0.2064162E-02 iter. number =   500 denomin. =        0.1438285E+03

  global error =        0.1588727E-02 iter. number =   600 denomin. =        0.1551750E+03

  global error =        0.1258841E-02 iter. number =   700 denomin. =        0.1655894E+03

  global error =        0.1023675E-02 iter. number =   800 denomin. =        0.1722479E+03

  global error =        0.7130424E-03 iter. number =   900 denomin. =        0.1719909E+03

  global error =        0.5739046E-03 iter. number =  1000 denomin. =        0.1688038E+03

  global error =        0.5375663E-03 iter. number =  1100 denomin. =        0.1659307E+03

  global error =        0.5198889E-03 iter. number =  1200 denomin. =        0.1633071E+03

  global error =        0.4041290E-03 iter. number =  1300 denomin. =        0.1594133E+03

  global error =        0.2802010E-03 iter. number =  1400 denomin. =        0.1551473E+03

  global error =        0.2268213E-03 iter. number =  1500 denomin. =        0.1512570E+03

  global error =        0.1890546E-03 iter. number =  1600 denomin. =        0.1476216E+03

  global error =        0.1755111E-03 iter. number =  1700 denomin. =        0.1442333E+03

  global error =        0.1478387E-03 iter. number =  1800 denomin. =        0.1411747E+03

  global error =        0.1282586E-03 iter. number =  1900 denomin. =        0.1386417E+03

  global error =        0.1001290E-03 iter. number =  2000 denomin. =        0.1367253E+03

  convergence  for freq. #    22 achieved in  2001 inner iterations 
 relative error value =       0.99810485E-04


  frequency number    21 frequency :       0.15375000E+00
 jw  real sour, imag sour =     21      0.47447E+00     -0.73785E-01

  global error =        0.7629862E-02 iter. number =   100 denomin. =        0.1402565E+03

  global error =        0.4731223E-02 iter. number =   200 denomin. =        0.1214923E+03

  global error =        0.4131311E-02 iter. number =   300 denomin. =        0.1106360E+03

  global error =        0.3503987E-02 iter. number =   400 denomin. =        0.1068350E+03

  global error =        0.2733190E-02 iter. number =   500 denomin. =        0.1113030E+03

  global error =        0.2143128E-02 iter. number =   600 denomin. =        0.1260309E+03

  global error =        0.1657368E-02 iter. number =   700 denomin. =        0.1456683E+03

  global error =        0.1173106E-02 iter. number =   800 denomin. =        0.1625537E+03

  global error =        0.7862298E-03 iter. number =   900 denomin. =        0.1728547E+03

  global error =        0.6364984E-03 iter. number =  1000 denomin. =        0.1814010E+03

  global error =        0.4657968E-03 iter. number =  1100 denomin. =        0.1885873E+03

  global error =        0.3073450E-03 iter. number =  1200 denomin. =        0.1941716E+03

  global error =        0.2438420E-03 iter. number =  1300 denomin. =        0.1997864E+03

  global error =        0.2030184E-03 iter. number =  1400 denomin. =        0.2048359E+03

  global error =        0.1853482E-03 iter. number =  1500 denomin. =        0.2095387E+03

  global error =        0.1577772E-03 iter. number =  1600 denomin. =        0.2138136E+03

  global error =        0.1331578E-03 iter. number =  1700 denomin. =        0.2173082E+03

  global error =        0.1007870E-03 iter. number =  1800 denomin. =        0.2198658E+03

  convergence  for freq. #    21 achieved in  1803 inner iterations 
 relative error value =       0.99771189E-04


  frequency number    20 frequency :       0.14625000E+00
 jw  real sour, imag sour =     20      0.45821E+00     -0.32185E-01

  global error =        0.8506657E-02 iter. number =   100 denomin. =        0.2362926E+03

  global error =        0.5134307E-02 iter. number =   200 denomin. =        0.2293794E+03

  global error =        0.4698935E-02 iter. number =   300 denomin. =        0.2189655E+03

  global error =        0.4307775E-02 iter. number =   400 denomin. =        0.2092195E+03

  global error =        0.3872815E-02 iter. number =   500 denomin. =        0.1971814E+03

  global error =        0.3065749E-02 iter. number =   600 denomin. =        0.1836187E+03

  global error =        0.2250096E-02 iter. number =   700 denomin. =        0.1711297E+03

  global error =        0.1737066E-02 iter. number =   800 denomin. =        0.1632912E+03

  global error =        0.1537454E-02 iter. number =   900 denomin. =        0.1583703E+03

  global error =        0.1389930E-02 iter. number =  1000 denomin. =        0.1579434E+03

  global error =        0.1098911E-02 iter. number =  1100 denomin. =        0.1628836E+03

  global error =        0.8824077E-03 iter. number =  1200 denomin. =        0.1701792E+03

  global error =        0.7278080E-03 iter. number =  1300 denomin. =        0.1760881E+03

  global error =        0.6283641E-03 iter. number =  1400 denomin. =        0.1800319E+03

  global error =        0.5245386E-03 iter. number =  1500 denomin. =        0.1814606E+03

  global error =        0.4044085E-03 iter. number =  1600 denomin. =        0.1808188E+03

  global error =        0.3195649E-03 iter. number =  1700 denomin. =        0.1791847E+03

  global error =        0.2598889E-03 iter. number =  1800 denomin. =        0.1777704E+03

  global error =        0.2329732E-03 iter. number =  1900 denomin. =        0.1770258E+03

  global error =        0.1980575E-03 iter. number =  2000 denomin. =        0.1771879E+03

  global error =        0.1593546E-03 iter. number =  2100 denomin. =        0.1780293E+03

  global error =        0.1309126E-03 iter. number =  2200 denomin. =        0.1790466E+03

  global error =        0.1086976E-03 iter. number =  2300 denomin. =        0.1798637E+03

  convergence  for freq. #    20 achieved in  2361 inner iterations 
 relative error value =       0.99991142E-04


  frequency number    19 frequency :       0.13875000E+00
 jw  real sour, imag sour =     19      0.43809E+00      0.61445E-02

  global error =        0.8519389E-02 iter. number =   100 denomin. =        0.1985307E+03

  global error =        0.4639436E-02 iter. number =   200 denomin. =        0.1962875E+03

  global error =        0.4046655E-02 iter. number =   300 denomin. =        0.1992207E+03

  global error =        0.3669591E-02 iter. number =   400 denomin. =        0.2004766E+03

  global error =        0.3115147E-02 iter. number =   500 denomin. =        0.1988312E+03

  global error =        0.2528680E-02 iter. number =   600 denomin. =        0.1907243E+03

  global error =        0.1841748E-02 iter. number =   700 denomin. =        0.1794959E+03

  global error =        0.1335829E-02 iter. number =   800 denomin. =        0.1706961E+03

  global error =        0.1029192E-02 iter. number =   900 denomin. =        0.1615472E+03

  global error =        0.7743537E-03 iter. number =  1000 denomin. =        0.1567364E+03

  global error =        0.5661300E-03 iter. number =  1100 denomin. =        0.1578556E+03

  global error =        0.4981963E-03 iter. number =  1200 denomin. =        0.1622074E+03

  global error =        0.4422130E-03 iter. number =  1300 denomin. =        0.1678383E+03

  global error =        0.3870203E-03 iter. number =  1400 denomin. =        0.1735344E+03

  global error =        0.3273282E-03 iter. number =  1500 denomin. =        0.1777532E+03

  global error =        0.2485458E-03 iter. number =  1600 denomin. =        0.1801420E+03

  global error =        0.1913180E-03 iter. number =  1700 denomin. =        0.1810755E+03

  global error =        0.1427830E-03 iter. number =  1800 denomin. =        0.1810254E+03

  global error =        0.1162859E-03 iter. number =  1900 denomin. =        0.1803853E+03

  convergence  for freq. #    19 achieved in  1969 inner iterations 
 relative error value =       0.99964958E-04


  frequency number    18 frequency :       0.13125000E+00
 jw  real sour, imag sour =     18      0.41457E+00      0.40831E-01

  global error =        0.8887963E-02 iter. number =   100 denomin. =        0.1969998E+03

  global error =        0.4711258E-02 iter. number =   200 denomin. =        0.1845927E+03

  global error =        0.4325254E-02 iter. number =   300 denomin. =        0.1694059E+03

  global error =        0.3710603E-02 iter. number =   400 denomin. =        0.1496017E+03

  global error =        0.2751930E-02 iter. number =   500 denomin. =        0.1332497E+03

  global error =        0.2261229E-02 iter. number =   600 denomin. =        0.1227007E+03

  global error =        0.1706975E-02 iter. number =   700 denomin. =        0.1173133E+03

  global error =        0.1175510E-02 iter. number =   800 denomin. =        0.1181572E+03

  global error =        0.9623357E-03 iter. number =   900 denomin. =        0.1208884E+03

  global error =        0.7888065E-03 iter. number =  1000 denomin. =        0.1253468E+03

  global error =        0.5880252E-03 iter. number =  1100 denomin. =        0.1313527E+03

  global error =        0.5292063E-03 iter. number =  1200 denomin. =        0.1380063E+03

  global error =        0.4799458E-03 iter. number =  1300 denomin. =        0.1448597E+03

  global error =        0.3906006E-03 iter. number =  1400 denomin. =        0.1504266E+03

  global error =        0.3073961E-03 iter. number =  1500 denomin. =        0.1546906E+03

  global error =        0.2414767E-03 iter. number =  1600 denomin. =        0.1578195E+03

  global error =        0.1963518E-03 iter. number =  1700 denomin. =        0.1603056E+03

  global error =        0.1619333E-03 iter. number =  1800 denomin. =        0.1626100E+03

  global error =        0.1329840E-03 iter. number =  1900 denomin. =        0.1644274E+03

  global error =        0.1178787E-03 iter. number =  2000 denomin. =        0.1661428E+03

  global error =        0.1034655E-03 iter. number =  2100 denomin. =        0.1677943E+03

  convergence  for freq. #    18 achieved in  2128 inner iterations 
 relative error value =       0.99949322E-04


  frequency number    17 frequency :       0.12375000E+00
 jw  real sour, imag sour =     17      0.38812E+00      0.71559E-01

  global error =        0.1004316E-01 iter. number =   100 denomin. =        0.1938512E+03

  global error =        0.5216765E-02 iter. number =   200 denomin. =        0.1892081E+03

  global error =        0.4962617E-02 iter. number =   300 denomin. =        0.1625480E+03

  global error =        0.4902443E-02 iter. number =   400 denomin. =        0.1285120E+03

  global error =        0.4919092E-02 iter. number =   500 denomin. =        0.9312514E+02

  global error =        0.4748706E-02 iter. number =   600 denomin. =        0.6065032E+02

  global error =        0.4301255E-02 iter. number =   700 denomin. =        0.4129515E+02

  global error =        0.3718427E-02 iter. number =   800 denomin. =        0.3648246E+02

  global error =        0.2954571E-02 iter. number =   900 denomin. =        0.4087195E+02

  global error =        0.2324454E-02 iter. number =  1000 denomin. =        0.4872930E+02

  global error =        0.1794785E-02 iter. number =  1100 denomin. =        0.5587911E+02

  global error =        0.1366924E-02 iter. number =  1200 denomin. =        0.5911176E+02

  global error =        0.1164967E-02 iter. number =  1300 denomin. =        0.5784859E+02

  global error =        0.1028309E-02 iter. number =  1400 denomin. =        0.5420287E+02

  global error =        0.9418642E-03 iter. number =  1500 denomin. =        0.4987304E+02

  global error =        0.8281416E-03 iter. number =  1600 denomin. =        0.4611339E+02

  global error =        0.6627703E-03 iter. number =  1700 denomin. =        0.4433278E+02

  global error =        0.5403980E-03 iter. number =  1800 denomin. =        0.4461671E+02

  global error =        0.4400320E-03 iter. number =  1900 denomin. =        0.4596403E+02

  global error =        0.3623058E-03 iter. number =  2000 denomin. =        0.4739892E+02

  global error =        0.3024093E-03 iter. number =  2100 denomin. =        0.4842260E+02

  global error =        0.2442333E-03 iter. number =  2200 denomin. =        0.4870625E+02

  global error =        0.2068044E-03 iter. number =  2300 denomin. =        0.4831571E+02

  global error =        0.1753009E-03 iter. number =  2400 denomin. =        0.4767439E+02

  global error =        0.1429674E-03 iter. number =  2500 denomin. =        0.4711738E+02

  global error =        0.1218580E-03 iter. number =  2600 denomin. =        0.4678569E+02

  global error =        0.1012461E-03 iter. number =  2700 denomin. =        0.4677819E+02

  convergence  for freq. #    17 achieved in  2706 inner iterations 
 relative error value =       0.99822009E-04


  frequency number    16 frequency :       0.11625000E+00
 jw  real sour, imag sour =     16      0.35928E+00      0.98072E-01

  global error =        0.8337089E-02 iter. number =   100 denomin. =        0.4978726E+02

  global error =        0.4632146E-02 iter. number =   200 denomin. =        0.5214536E+02

  global error =        0.3750313E-02 iter. number =   300 denomin. =        0.5929282E+02

  global error =        0.3069854E-02 iter. number =   400 denomin. =        0.6781414E+02

  global error =        0.2389641E-02 iter. number =   500 denomin. =        0.7610004E+02

  global error =        0.1864624E-02 iter. number =   600 denomin. =        0.8137975E+02

  global error =        0.1414657E-02 iter. number =   700 denomin. =        0.8407562E+02

  global error =        0.1254495E-02 iter. number =   800 denomin. =        0.8394388E+02

  global error =        0.1193067E-02 iter. number =   900 denomin. =        0.8032209E+02

  global error =        0.9767238E-03 iter. number =  1000 denomin. =        0.7474196E+02

  global error =        0.7724576E-03 iter. number =  1100 denomin. =        0.6910406E+02

  global error =        0.6609947E-03 iter. number =  1200 denomin. =        0.6422297E+02

  global error =        0.5838306E-03 iter. number =  1300 denomin. =        0.6010047E+02

  global error =        0.5503047E-03 iter. number =  1400 denomin. =        0.5637358E+02

  global error =        0.4793086E-03 iter. number =  1500 denomin. =        0.5334808E+02

  global error =        0.4264084E-03 iter. number =  1600 denomin. =        0.5128780E+02

  global error =        0.3649444E-03 iter. number =  1700 denomin. =        0.5019611E+02

  global error =        0.2917910E-03 iter. number =  1800 denomin. =        0.4997985E+02

  global error =        0.2520503E-03 iter. number =  1900 denomin. =        0.5039691E+02

  global error =        0.2127975E-03 iter. number =  2000 denomin. =        0.5113453E+02

  global error =        0.1991325E-03 iter. number =  2100 denomin. =        0.5209504E+02

  global error =        0.1733915E-03 iter. number =  2200 denomin. =        0.5308115E+02

  global error =        0.1365388E-03 iter. number =  2300 denomin. =        0.5396618E+02

  global error =        0.1129148E-03 iter. number =  2400 denomin. =        0.5468079E+02

  convergence  for freq. #    16 achieved in  2464 inner iterations 
 relative error value =       0.99952972E-04


  frequency number    15 frequency :       0.10875000E+00
 jw  real sour, imag sour =     15      0.32860E+00      0.12018E+00

  global error =        0.9985365E-02 iter. number =   100 denomin. =        0.5993559E+02

  global error =        0.4886157E-02 iter. number =   200 denomin. =        0.5645622E+02

  global error =        0.4200297E-02 iter. number =   300 denomin. =        0.5563850E+02

  global error =        0.3481502E-02 iter. number =   400 denomin. =        0.5653219E+02

  global error =        0.2738523E-02 iter. number =   500 denomin. =        0.5912719E+02

  global error =        0.2272417E-02 iter. number =   600 denomin. =        0.6303707E+02

  global error =        0.1973701E-02 iter. number =   700 denomin. =        0.6806038E+02

  global error =        0.1637570E-02 iter. number =   800 denomin. =        0.7242373E+02

  global error =        0.1173147E-02 iter. number =   900 denomin. =        0.7439054E+02

  global error =        0.9466089E-03 iter. number =  1000 denomin. =        0.7411979E+02

  global error =        0.8602654E-03 iter. number =  1100 denomin. =        0.7305340E+02

  global error =        0.7911295E-03 iter. number =  1200 denomin. =        0.7278430E+02

  global error =        0.6828299E-03 iter. number =  1300 denomin. =        0.7378541E+02

  global error =        0.5519061E-03 iter. number =  1400 denomin. =        0.7515146E+02

  global error =        0.4735411E-03 iter. number =  1500 denomin. =        0.7581188E+02

  global error =        0.3973196E-03 iter. number =  1600 denomin. =        0.7554029E+02

  global error =        0.3485025E-03 iter. number =  1700 denomin. =        0.7493358E+02

  global error =        0.3159048E-03 iter. number =  1800 denomin. =        0.7471361E+02

  global error =        0.2748092E-03 iter. number =  1900 denomin. =        0.7509307E+02

  global error =        0.2394814E-03 iter. number =  2000 denomin. =        0.7568660E+02

  global error =        0.1957716E-03 iter. number =  2100 denomin. =        0.7592302E+02

  global error =        0.1699996E-03 iter. number =  2200 denomin. =        0.7570682E+02

  global error =        0.1481689E-03 iter. number =  2300 denomin. =        0.7537896E+02

  global error =        0.1286174E-03 iter. number =  2400 denomin. =        0.7526344E+02

  global error =        0.1146903E-03 iter. number =  2500 denomin. =        0.7539327E+02

  convergence  for freq. #    15 achieved in  2569 inner iterations 
 relative error value =       0.99958730E-04


  frequency number    14 frequency :       0.10125000E+00
 jw  real sour, imag sour =     14      0.29662E+00      0.13775E+00

  global error =        0.1110786E-01 iter. number =   100 denomin. =        0.8484431E+02

  global error =        0.5278610E-02 iter. number =   200 denomin. =        0.8295251E+02

  global error =        0.4710298E-02 iter. number =   300 denomin. =        0.7785462E+02

  global error =        0.4040222E-02 iter. number =   400 denomin. =        0.7122858E+02

  global error =        0.3409756E-02 iter. number =   500 denomin. =        0.6406648E+02

  global error =        0.2751301E-02 iter. number =   600 denomin. =        0.5724337E+02

  global error =        0.2242413E-02 iter. number =   700 denomin. =        0.5313061E+02

  global error =        0.1778404E-02 iter. number =   800 denomin. =        0.5419362E+02

  global error =        0.1337257E-02 iter. number =   900 denomin. =        0.5815527E+02

  global error =        0.1079410E-02 iter. number =  1000 denomin. =        0.6150448E+02

  global error =        0.8869539E-03 iter. number =  1100 denomin. =        0.6304309E+02

  global error =        0.7420312E-03 iter. number =  1200 denomin. =        0.6282765E+02

  global error =        0.6197942E-03 iter. number =  1300 denomin. =        0.6189585E+02

  global error =        0.5599762E-03 iter. number =  1400 denomin. =        0.6126854E+02

  global error =        0.4740316E-03 iter. number =  1500 denomin. =        0.6176846E+02

  global error =        0.3621696E-03 iter. number =  1600 denomin. =        0.6269959E+02

  global error =        0.3054689E-03 iter. number =  1700 denomin. =        0.6331265E+02

  global error =        0.2626549E-03 iter. number =  1800 denomin. =        0.6336384E+02

  global error =        0.2297371E-03 iter. number =  1900 denomin. =        0.6312940E+02

  global error =        0.1927592E-03 iter. number =  2000 denomin. =        0.6272964E+02

  global error =        0.1655706E-03 iter. number =  2100 denomin. =        0.6248952E+02

  global error =        0.1404987E-03 iter. number =  2200 denomin. =        0.6244912E+02

  global error =        0.1154174E-03 iter. number =  2300 denomin. =        0.6254571E+02

  convergence  for freq. #    14 achieved in  2392 inner iterations 
 relative error value =       0.99897075E-04


  frequency number    13 frequency :       0.93750000E-01
 jw  real sour, imag sour =     13      0.26393E+00      0.15074E+00

  global error =        0.1074510E-01 iter. number =   100 denomin. =        0.7114664E+02

  global error =        0.4457535E-02 iter. number =   200 denomin. =        0.7110576E+02

  global error =        0.3542134E-02 iter. number =   300 denomin. =        0.7318916E+02

  global error =        0.3073451E-02 iter. number =   400 denomin. =        0.7555754E+02

  global error =        0.2647401E-02 iter. number =   500 denomin. =        0.8053880E+02

  global error =        0.2197738E-02 iter. number =   600 denomin. =        0.8445742E+02

  global error =        0.1659427E-02 iter. number =   700 denomin. =        0.8213065E+02

  global error =        0.1166267E-02 iter. number =   800 denomin. =        0.7732006E+02

  global error =        0.9619032E-03 iter. number =   900 denomin. =        0.7483522E+02

  global error =        0.8170030E-03 iter. number =  1000 denomin. =        0.7377224E+02

  global error =        0.6477726E-03 iter. number =  1100 denomin. =        0.7136024E+02

  global error =        0.6500077E-03 iter. number =  1200 denomin. =        0.6859913E+02

  global error =        0.5366634E-03 iter. number =  1300 denomin. =        0.6721896E+02

  global error =        0.3722235E-03 iter. number =  1400 denomin. =        0.6743586E+02

  global error =        0.3452266E-03 iter. number =  1500 denomin. =        0.6771333E+02

  global error =        0.3497362E-03 iter. number =  1600 denomin. =        0.6822369E+02

  global error =        0.3354797E-03 iter. number =  1700 denomin. =        0.6958765E+02

  global error =        0.2471954E-03 iter. number =  1800 denomin. =        0.7058741E+02

  global error =        0.1674303E-03 iter. number =  1900 denomin. =        0.7066915E+02

  global error =        0.1555052E-03 iter. number =  2000 denomin. =        0.7038669E+02

  global error =        0.1507470E-03 iter. number =  2100 denomin. =        0.7033515E+02

  global error =        0.1306446E-03 iter. number =  2200 denomin. =        0.7043548E+02

  global error =        0.1141382E-03 iter. number =  2300 denomin. =        0.7021797E+02

  global error =        0.1051003E-03 iter. number =  2400 denomin. =        0.6984578E+02

  convergence  for freq. #    13 achieved in  2454 inner iterations 
 relative error value =       0.99970193E-04


  frequency number    12 frequency :       0.86250000E-01
 jw  real sour, imag sour =     12      0.23108E+00      0.15914E+00

  global error =        0.1307908E-01 iter. number =   100 denomin. =        0.7630402E+02

  global error =        0.5883627E-02 iter. number =   200 denomin. =        0.7174900E+02

  global error =        0.5503630E-02 iter. number =   300 denomin. =        0.7039392E+02

  global error =        0.4895364E-02 iter. number =   400 denomin. =        0.6698993E+02

  global error =        0.3857024E-02 iter. number =   500 denomin. =        0.5809312E+02

  global error =        0.2762265E-02 iter. number =   600 denomin. =        0.5071231E+02

  global error =        0.2247723E-02 iter. number =   700 denomin. =        0.4889963E+02

  global error =        0.1802344E-02 iter. number =   800 denomin. =        0.4710043E+02

  global error =        0.1590925E-02 iter. number =   900 denomin. =        0.4601734E+02

  global error =        0.1412341E-02 iter. number =  1000 denomin. =        0.4541841E+02

  global error =        0.1116946E-02 iter. number =  1100 denomin. =        0.4244379E+02

  global error =        0.9394452E-03 iter. number =  1200 denomin. =        0.3979970E+02

  global error =        0.1003791E-02 iter. number =  1300 denomin. =        0.3746070E+02

  global error =        0.9387310E-03 iter. number =  1400 denomin. =        0.3573301E+02

  global error =        0.6295831E-03 iter. number =  1500 denomin. =        0.3557819E+02

  global error =        0.4572243E-03 iter. number =  1600 denomin. =        0.3547334E+02

  global error =        0.3817565E-03 iter. number =  1700 denomin. =        0.3531014E+02

  global error =        0.3279711E-03 iter. number =  1800 denomin. =        0.3513155E+02

  global error =        0.2944596E-03 iter. number =  1900 denomin. =        0.3476193E+02

  global error =        0.2732783E-03 iter. number =  2000 denomin. =        0.3476534E+02

  global error =        0.2374115E-03 iter. number =  2100 denomin. =        0.3491365E+02

  global error =        0.2135952E-03 iter. number =  2200 denomin. =        0.3502148E+02

  global error =        0.2235844E-03 iter. number =  2300 denomin. =        0.3526928E+02

  global error =        0.1699621E-03 iter. number =  2400 denomin. =        0.3544507E+02

  global error =        0.1366684E-03 iter. number =  2500 denomin. =        0.3564324E+02

  global error =        0.1115795E-03 iter. number =  2600 denomin. =        0.3594352E+02

  global error =        0.1030547E-03 iter. number =  2700 denomin. =        0.3616637E+02

  global error =        0.1034587E-03 iter. number =  2800 denomin. =        0.3640825E+02

  convergence  for freq. #    12 achieved in  2821 inner iterations 
 relative error value =       0.99911124E-04


  frequency number    11 frequency :       0.78750000E-01
 jw  real sour, imag sour =     11      0.19865E+00      0.16303E+00

  global error =        0.1372769E-01 iter. number =   100 denomin. =        0.4107493E+02

  global error =        0.5737908E-02 iter. number =   200 denomin. =        0.4026779E+02

  global error =        0.5091236E-02 iter. number =   300 denomin. =        0.4061168E+02

  global error =        0.4249520E-02 iter. number =   400 denomin. =        0.4321783E+02

  global error =        0.3742550E-02 iter. number =   500 denomin. =        0.4786726E+02

  global error =        0.2783001E-02 iter. number =   600 denomin. =        0.4771339E+02

  global error =        0.1860835E-02 iter. number =   700 denomin. =        0.4368059E+02

  global error =        0.1655080E-02 iter. number =   800 denomin. =        0.3925997E+02

  global error =        0.1646925E-02 iter. number =   900 denomin. =        0.3591885E+02

  global error =        0.1625212E-02 iter. number =  1000 denomin. =        0.3290481E+02

  global error =        0.1344425E-02 iter. number =  1100 denomin. =        0.3007205E+02

  global error =        0.1264092E-02 iter. number =  1200 denomin. =        0.2718675E+02

  global error =        0.1195594E-02 iter. number =  1300 denomin. =        0.2404758E+02

  global error =        0.1225339E-02 iter. number =  1400 denomin. =        0.2104315E+02

  global error =        0.1094838E-02 iter. number =  1500 denomin. =        0.1886825E+02

  global error =        0.8363092E-03 iter. number =  1600 denomin. =        0.1783721E+02

  global error =        0.7164488E-03 iter. number =  1700 denomin. =        0.1782473E+02

  global error =        0.5839990E-03 iter. number =  1800 denomin. =        0.1832819E+02

  global error =        0.5414898E-03 iter. number =  1900 denomin. =        0.1922668E+02

  global error =        0.4909550E-03 iter. number =  2000 denomin. =        0.2028269E+02

  global error =        0.4296521E-03 iter. number =  2100 denomin. =        0.2133485E+02

  global error =        0.3521651E-03 iter. number =  2200 denomin. =        0.2215785E+02

  global error =        0.2916967E-03 iter. number =  2300 denomin. =        0.2275560E+02

  global error =        0.2570369E-03 iter. number =  2400 denomin. =        0.2302871E+02

  global error =        0.2271521E-03 iter. number =  2500 denomin. =        0.2310013E+02

  global error =        0.2142684E-03 iter. number =  2600 denomin. =        0.2297677E+02

  global error =        0.1777140E-03 iter. number =  2700 denomin. =        0.2277112E+02

  global error =        0.1532580E-03 iter. number =  2800 denomin. =        0.2248411E+02

  global error =        0.1281416E-03 iter. number =  2900 denomin. =        0.2219522E+02

  global error =        0.1225891E-03 iter. number =  3000 denomin. =        0.2187999E+02

  global error =        0.1139374E-03 iter. number =  3100 denomin. =        0.2161391E+02

  convergence  for freq. #    11 achieved in  3193 inner iterations 
 relative error value =       0.99843828E-04


  frequency number    10 frequency :       0.71250000E-01
 jw  real sour, imag sour =     10      0.16717E+00      0.16254E+00

  global error =        0.1055543E-01 iter. number =   100 denomin. =        0.2497821E+02

  global error =        0.5403160E-02 iter. number =   200 denomin. =        0.2111311E+02

  global error =        0.4625047E-02 iter. number =   300 denomin. =        0.1973963E+02

  global error =        0.3748100E-02 iter. number =   400 denomin. =        0.2056252E+02

  global error =        0.3037874E-02 iter. number =   500 denomin. =        0.2326156E+02

  global error =        0.2414074E-02 iter. number =   600 denomin. =        0.2635000E+02

  global error =        0.1996364E-02 iter. number =   700 denomin. =        0.2976680E+02

  global error =        0.1585874E-02 iter. number =   800 denomin. =        0.3380117E+02

  global error =        0.1108622E-02 iter. number =   900 denomin. =        0.3621153E+02

  global error =        0.8120230E-03 iter. number =  1000 denomin. =        0.3759970E+02

  global error =        0.6943171E-03 iter. number =  1100 denomin. =        0.3885960E+02

  global error =        0.6542847E-03 iter. number =  1200 denomin. =        0.4120593E+02

  global error =        0.5258616E-03 iter. number =  1300 denomin. =        0.4385396E+02

  global error =        0.3737922E-03 iter. number =  1400 denomin. =        0.4578879E+02

  global error =        0.3031528E-03 iter. number =  1500 denomin. =        0.4722495E+02

  global error =        0.2449640E-03 iter. number =  1600 denomin. =        0.4816716E+02

  global error =        0.2451804E-03 iter. number =  1700 denomin. =        0.4915642E+02

  global error =        0.2400210E-03 iter. number =  1800 denomin. =        0.5026616E+02

  global error =        0.2040681E-03 iter. number =  1900 denomin. =        0.5125401E+02

  global error =        0.1658912E-03 iter. number =  2000 denomin. =        0.5215096E+02

  global error =        0.1296264E-03 iter. number =  2100 denomin. =        0.5269902E+02

  global error =        0.1204710E-03 iter. number =  2200 denomin. =        0.5306526E+02

  global error =        0.1184921E-03 iter. number =  2300 denomin. =        0.5340910E+02

  convergence  for freq. #    10 achieved in  2367 inner iterations 
 relative error value =       0.99942583E-04


  frequency number     9 frequency :       0.63750000E-01
 jw  real sour, imag sour =      9      0.13717E+00      0.15789E+00

  global error =        0.1254596E-01 iter. number =   100 denomin. =        0.6412773E+02

  global error =        0.5703576E-02 iter. number =   200 denomin. =        0.6270939E+02

  global error =        0.5543510E-02 iter. number =   300 denomin. =        0.6285852E+02

  global error =        0.5363822E-02 iter. number =   400 denomin. =        0.5893986E+02

  global error =        0.5170655E-02 iter. number =   500 denomin. =        0.5077492E+02

  global error =        0.4727499E-02 iter. number =   600 denomin. =        0.4009477E+02

  global error =        0.4844661E-02 iter. number =   700 denomin. =        0.3076891E+02

  global error =        0.4773747E-02 iter. number =   800 denomin. =        0.2255750E+02

  global error =        0.4794455E-02 iter. number =   900 denomin. =        0.1795202E+02

  global error =        0.4420609E-02 iter. number =  1000 denomin. =        0.1728443E+02

  global error =        0.3760714E-02 iter. number =  1100 denomin. =        0.1965187E+02

  global error =        0.3117031E-02 iter. number =  1200 denomin. =        0.2316854E+02

  global error =        0.2480899E-02 iter. number =  1300 denomin. =        0.2590778E+02

  global error =        0.2130655E-02 iter. number =  1400 denomin. =        0.2659781E+02

  global error =        0.1936616E-02 iter. number =  1500 denomin. =        0.2516939E+02

  global error =        0.1829164E-02 iter. number =  1600 denomin. =        0.2248195E+02

  global error =        0.1718894E-02 iter. number =  1700 denomin. =        0.1955596E+02

  global error =        0.1601357E-02 iter. number =  1800 denomin. =        0.1751809E+02

  global error =        0.1448788E-02 iter. number =  1900 denomin. =        0.1682938E+02

  global error =        0.1255091E-02 iter. number =  2000 denomin. =        0.1732965E+02

  global error =        0.1057441E-02 iter. number =  2100 denomin. =        0.1848680E+02

  global error =        0.8953525E-03 iter. number =  2200 denomin. =        0.1968172E+02

  global error =        0.7839340E-03 iter. number =  2300 denomin. =        0.2040154E+02

  global error =        0.6881495E-03 iter. number =  2400 denomin. =        0.2041180E+02

  global error =        0.6251393E-03 iter. number =  2500 denomin. =        0.1984251E+02

  global error =        0.5556731E-03 iter. number =  2600 denomin. =        0.1904207E+02

  global error =        0.5051469E-03 iter. number =  2700 denomin. =        0.1832128E+02

  global error =        0.4502963E-03 iter. number =  2800 denomin. =        0.1790920E+02

  global error =        0.3887629E-03 iter. number =  2900 denomin. =        0.1791046E+02

  global error =        0.3515716E-03 iter. number =  3000 denomin. =        0.1821491E+02

  global error =        0.3005178E-03 iter. number =  3100 denomin. =        0.1862069E+02

  global error =        0.2719670E-03 iter. number =  3200 denomin. =        0.1895502E+02

  global error =        0.2371457E-03 iter. number =  3300 denomin. =        0.1911480E+02

  global error =        0.2072138E-03 iter. number =  3400 denomin. =        0.1906535E+02

  global error =        0.1860752E-03 iter. number =  3500 denomin. =        0.1886403E+02

  global error =        0.1652163E-03 iter. number =  3600 denomin. =        0.1863773E+02

  global error =        0.1472895E-03 iter. number =  3700 denomin. =        0.1847029E+02

  global error =        0.1320296E-03 iter. number =  3800 denomin. =        0.1840372E+02

  global error =        0.1167963E-03 iter. number =  3900 denomin. =        0.1844742E+02

  global error =        0.1062970E-03 iter. number =  4000 denomin. =        0.1856385E+02

  NO convergence  for freq. #     9 after   4001 inner iterations 
 relative error value reduction =       0.10629703E-03


  frequency number     8 frequency :       0.56250000E-01
 jw  real sour, imag sour =      8      0.10914E+00      0.14933E+00

  global error =        0.1446179E-01 iter. number =   100 denomin. =        0.2152055E+02

  global error =        0.6232065E-02 iter. number =   200 denomin. =        0.2172329E+02

  global error =        0.4988047E-02 iter. number =   300 denomin. =        0.2281818E+02

  global error =        0.3914025E-02 iter. number =   400 denomin. =        0.2404097E+02

  global error =        0.3247657E-02 iter. number =   500 denomin. =        0.2509042E+02

  global error =        0.2702353E-02 iter. number =   600 denomin. =        0.2462478E+02

  global error =        0.2382455E-02 iter. number =   700 denomin. =        0.2367256E+02

  global error =        0.2058341E-02 iter. number =   800 denomin. =        0.2257410E+02

  global error =        0.1844220E-02 iter. number =   900 denomin. =        0.2068987E+02

  global error =        0.1690636E-02 iter. number =  1000 denomin. =        0.1850917E+02

  global error =        0.1510517E-02 iter. number =  1100 denomin. =        0.1643330E+02

  global error =        0.1312968E-02 iter. number =  1200 denomin. =        0.1505279E+02

  global error =        0.1060534E-02 iter. number =  1300 denomin. =        0.1444973E+02

  global error =        0.9457289E-03 iter. number =  1400 denomin. =        0.1437562E+02

  global error =        0.8247999E-03 iter. number =  1500 denomin. =        0.1451388E+02

  global error =        0.6820082E-03 iter. number =  1600 denomin. =        0.1505092E+02

  global error =        0.5197446E-03 iter. number =  1700 denomin. =        0.1568239E+02

  global error =        0.4570118E-03 iter. number =  1800 denomin. =        0.1623469E+02

  global error =        0.4205149E-03 iter. number =  1900 denomin. =        0.1662235E+02

  global error =        0.3433009E-03 iter. number =  2000 denomin. =        0.1681892E+02

  global error =        0.2769791E-03 iter. number =  2100 denomin. =        0.1676578E+02

  global error =        0.2580098E-03 iter. number =  2200 denomin. =        0.1657740E+02

  global error =        0.2334433E-03 iter. number =  2300 denomin. =        0.1633087E+02

  global error =        0.1999824E-03 iter. number =  2400 denomin. =        0.1606929E+02

  global error =        0.1705398E-03 iter. number =  2500 denomin. =        0.1590537E+02

  global error =        0.1829859E-03 iter. number =  2600 denomin. =        0.1579459E+02

  global error =        0.1689817E-03 iter. number =  2700 denomin. =        0.1573395E+02

  global error =        0.1296371E-03 iter. number =  2800 denomin. =        0.1571509E+02

  global error =        0.1093094E-03 iter. number =  2900 denomin. =        0.1579380E+02

  global error =        0.1032455E-03 iter. number =  3000 denomin. =        0.1587476E+02

  convergence  for freq. #     8 achieved in  3033 inner iterations 
 relative error value =       0.99961959E-04


  frequency number     7 frequency :       0.48750000E-01
 jw  real sour, imag sour =      7      0.83539E-01      0.13719E+00

  global error =        0.1416842E-01 iter. number =   100 denomin. =        0.1921445E+02

  global error =        0.5630684E-02 iter. number =   200 denomin. =        0.1782149E+02

  global error =        0.4470907E-02 iter. number =   300 denomin. =        0.1713436E+02

  global error =        0.3922178E-02 iter. number =   400 denomin. =        0.1655371E+02

  global error =        0.3286281E-02 iter. number =   500 denomin. =        0.1613630E+02

  global error =        0.2859337E-02 iter. number =   600 denomin. =        0.1647424E+02

  global error =        0.2422563E-02 iter. number =   700 denomin. =        0.1773219E+02

  global error =        0.1806674E-02 iter. number =   800 denomin. =        0.1877520E+02

  global error =        0.1244641E-02 iter. number =   900 denomin. =        0.1868857E+02

  global error =        0.1080664E-02 iter. number =  1000 denomin. =        0.1840603E+02

  global error =        0.9284768E-03 iter. number =  1100 denomin. =        0.1835466E+02

  global error =        0.8093550E-03 iter. number =  1200 denomin. =        0.1858195E+02

  global error =        0.7329903E-03 iter. number =  1300 denomin. =        0.1915306E+02

  global error =        0.6094335E-03 iter. number =  1400 denomin. =        0.1919436E+02

  global error =        0.5058550E-03 iter. number =  1500 denomin. =        0.1873109E+02

  global error =        0.3937545E-03 iter. number =  1600 denomin. =        0.1855549E+02

  global error =        0.4100204E-03 iter. number =  1700 denomin. =        0.1870775E+02

  global error =        0.3783497E-03 iter. number =  1800 denomin. =        0.1896644E+02

  global error =        0.2989646E-03 iter. number =  1900 denomin. =        0.1916934E+02

  global error =        0.2548138E-03 iter. number =  2000 denomin. =        0.1897854E+02

  global error =        0.1990981E-03 iter. number =  2100 denomin. =        0.1881462E+02

  global error =        0.1889666E-03 iter. number =  2200 denomin. =        0.1887546E+02

  global error =        0.1673394E-03 iter. number =  2300 denomin. =        0.1892690E+02

  global error =        0.1653359E-03 iter. number =  2400 denomin. =        0.1892744E+02

  global error =        0.1708107E-03 iter. number =  2500 denomin. =        0.1880848E+02

  global error =        0.1523136E-03 iter. number =  2600 denomin. =        0.1870005E+02

  global error =        0.1234167E-03 iter. number =  2700 denomin. =        0.1874238E+02

  global error =        0.1003452E-03 iter. number =  2800 denomin. =        0.1879196E+02

  convergence  for freq. #     7 achieved in  2802 inner iterations 
 relative error value =       0.99895920E-04


  frequency number     6 frequency :       0.41250000E-01
 jw  real sour, imag sour =      6      0.60783E-01      0.12182E+00

  global error =        0.1375677E-01 iter. number =   100 denomin. =        0.2465517E+02

  global error =        0.7538532E-02 iter. number =   200 denomin. =        0.2222795E+02

  global error =        0.5395682E-02 iter. number =   300 denomin. =        0.2123048E+02

  global error =        0.5231430E-02 iter. number =   400 denomin. =        0.1952020E+02

  global error =        0.4182122E-02 iter. number =   500 denomin. =        0.1821512E+02

  global error =        0.3423832E-02 iter. number =   600 denomin. =        0.1619799E+02

  global error =        0.2557866E-02 iter. number =   700 denomin. =        0.1519133E+02

  global error =        0.1978645E-02 iter. number =   800 denomin. =        0.1521987E+02

  global error =        0.1469884E-02 iter. number =   900 denomin. =        0.1528026E+02

  global error =        0.1176977E-02 iter. number =  1000 denomin. =        0.1537577E+02

  global error =        0.9967372E-03 iter. number =  1100 denomin. =        0.1591425E+02

  global error =        0.8735713E-03 iter. number =  1200 denomin. =        0.1650440E+02

  global error =        0.7689150E-03 iter. number =  1300 denomin. =        0.1690963E+02

  global error =        0.6265903E-03 iter. number =  1400 denomin. =        0.1734673E+02

  global error =        0.4716896E-03 iter. number =  1500 denomin. =        0.1739303E+02

  global error =        0.3849033E-03 iter. number =  1600 denomin. =        0.1718186E+02

  global error =        0.3242485E-03 iter. number =  1700 denomin. =        0.1712625E+02

  global error =        0.3269583E-03 iter. number =  1800 denomin. =        0.1696762E+02

  global error =        0.2790133E-03 iter. number =  1900 denomin. =        0.1675518E+02

  global error =        0.2211677E-03 iter. number =  2000 denomin. =        0.1677159E+02

  global error =        0.1872757E-03 iter. number =  2100 denomin. =        0.1690836E+02

  global error =        0.1616053E-03 iter. number =  2200 denomin. =        0.1692276E+02

  global error =        0.1615730E-03 iter. number =  2300 denomin. =        0.1688463E+02

  global error =        0.1606022E-03 iter. number =  2400 denomin. =        0.1690399E+02

  global error =        0.1432292E-03 iter. number =  2500 denomin. =        0.1686093E+02

  global error =        0.1219893E-03 iter. number =  2600 denomin. =        0.1671593E+02

  convergence  for freq. #     6 achieved in  2690 inner iterations 
 relative error value =       0.99861866E-04


  frequency number     5 frequency :       0.33750000E-01
 jw  real sour, imag sour =      5      0.41236E-01      0.10364E+00

  global error =        0.2949123E-02 iter. number =   100 denomin. =        0.1633195E+02

  global error =        0.2795559E-02 iter. number =   200 denomin. =        0.1601143E+02

  global error =        0.2568462E-02 iter. number =   300 denomin. =        0.1550754E+02

  global error =        0.2427565E-02 iter. number =   400 denomin. =        0.1498077E+02

  global error =        0.2327424E-02 iter. number =   500 denomin. =        0.1439090E+02

  global error =        0.2228202E-02 iter. number =   600 denomin. =        0.1367452E+02

  global error =        0.2112710E-02 iter. number =   700 denomin. =        0.1283700E+02

  global error =        0.1964805E-02 iter. number =   800 denomin. =        0.1194546E+02

  global error =        0.1852018E-02 iter. number =   900 denomin. =        0.1108325E+02

  global error =        0.1800064E-02 iter. number =  1000 denomin. =        0.1036779E+02

  global error =        0.1746552E-02 iter. number =  1100 denomin. =        0.9746373E+01

  global error =        0.1692943E-02 iter. number =  1200 denomin. =        0.9266086E+01

  global error =        0.1629647E-02 iter. number =  1300 denomin. =        0.8933312E+01

  global error =        0.1520470E-02 iter. number =  1400 denomin. =        0.8714117E+01

  global error =        0.1402783E-02 iter. number =  1500 denomin. =        0.8622245E+01

  global error =        0.1310862E-02 iter. number =  1600 denomin. =        0.8666164E+01

  global error =        0.1245242E-02 iter. number =  1700 denomin. =        0.8816590E+01

  global error =        0.1183106E-02 iter. number =  1800 denomin. =        0.9043844E+01

  global error =        0.1112458E-02 iter. number =  1900 denomin. =        0.9339297E+01

  global error =        0.1035758E-02 iter. number =  2000 denomin. =        0.9685885E+01

  global error =        0.9739386E-03 iter. number =  2100 denomin. =        0.1006175E+02

  global error =        0.9183461E-03 iter. number =  2200 denomin. =        0.1046528E+02

  global error =        0.8701538E-03 iter. number =  2300 denomin. =        0.1087492E+02

  global error =        0.8273515E-03 iter. number =  2400 denomin. =        0.1125884E+02

  global error =        0.7827831E-03 iter. number =  2500 denomin. =        0.1161214E+02

  global error =        0.7313331E-03 iter. number =  2600 denomin. =        0.1193069E+02

  global error =        0.6853998E-03 iter. number =  2700 denomin. =        0.1221105E+02

  global error =        0.6512410E-03 iter. number =  2800 denomin. =        0.1245023E+02

  global error =        0.6246942E-03 iter. number =  2900 denomin. =        0.1264818E+02

  global error =        0.5966977E-03 iter. number =  3000 denomin. =        0.1280206E+02

  global error =        0.5647775E-03 iter. number =  3100 denomin. =        0.1292203E+02

  global error =        0.5320056E-03 iter. number =  3200 denomin. =        0.1302022E+02

  global error =        0.4982036E-03 iter. number =  3300 denomin. =        0.1309906E+02

  global error =        0.4693761E-03 iter. number =  3400 denomin. =        0.1316776E+02

  global error =        0.4479997E-03 iter. number =  3500 denomin. =        0.1324203E+02

  global error =        0.4289514E-03 iter. number =  3600 denomin. =        0.1332082E+02

  global error =        0.4092552E-03 iter. number =  3700 denomin. =        0.1340247E+02

  global error =        0.3895875E-03 iter. number =  3800 denomin. =        0.1349005E+02

  global error =        0.3717934E-03 iter. number =  3900 denomin. =        0.1358009E+02

  global error =        0.3558548E-03 iter. number =  4000 denomin. =        0.1366722E+02

  NO convergence  for freq. #     5 after   4001 inner iterations 
 relative error value reduction =       0.35585476E-03


  frequency number     4 frequency :       0.26250000E-01
 jw  real sour, imag sour =      4      0.25212E-01      0.83117E-01

  global error =        0.3274359E-02 iter. number =   100 denomin. =        0.1357615E+02

  global error =        0.3088704E-02 iter. number =   200 denomin. =        0.1348468E+02

  global error =        0.2923391E-02 iter. number =   300 denomin. =        0.1334015E+02

  global error =        0.2759813E-02 iter. number =   400 denomin. =        0.1319385E+02

  global error =        0.2591941E-02 iter. number =   500 denomin. =        0.1296823E+02

  global error =        0.2521321E-02 iter. number =   600 denomin. =        0.1270688E+02

  global error =        0.2442683E-02 iter. number =   700 denomin. =        0.1222211E+02

  global error =        0.2386370E-02 iter. number =   800 denomin. =        0.1153686E+02

  global error =        0.2329006E-02 iter. number =   900 denomin. =        0.1063681E+02

  global error =        0.2247464E-02 iter. number =  1000 denomin. =        0.9616444E+01

  global error =        0.2224631E-02 iter. number =  1100 denomin. =        0.8572919E+01

  global error =        0.2225703E-02 iter. number =  1200 denomin. =        0.7586632E+01

  global error =        0.2225693E-02 iter. number =  1300 denomin. =        0.6692951E+01

  global error =        0.2258320E-02 iter. number =  1400 denomin. =        0.5969726E+01

  global error =        0.2267205E-02 iter. number =  1500 denomin. =        0.5399917E+01

  global error =        0.2247268E-02 iter. number =  1600 denomin. =        0.4993272E+01

  global error =        0.2206776E-02 iter. number =  1700 denomin. =        0.4721176E+01

  global error =        0.2138830E-02 iter. number =  1800 denomin. =        0.4576648E+01

  global error =        0.2074414E-02 iter. number =  1900 denomin. =        0.4551862E+01

  global error =        0.1990919E-02 iter. number =  2000 denomin. =        0.4625163E+01

  global error =        0.1895646E-02 iter. number =  2100 denomin. =        0.4778605E+01

  global error =        0.1791556E-02 iter. number =  2200 denomin. =        0.4995183E+01

  global error =        0.1660825E-02 iter. number =  2300 denomin. =        0.5241086E+01

  global error =        0.1520824E-02 iter. number =  2400 denomin. =        0.5495303E+01

  global error =        0.1393565E-02 iter. number =  2500 denomin. =        0.5734583E+01

  global error =        0.1283939E-02 iter. number =  2600 denomin. =        0.5927748E+01

  global error =        0.1202126E-02 iter. number =  2700 denomin. =        0.6044925E+01

  global error =        0.1137657E-02 iter. number =  2800 denomin. =        0.6079710E+01

  global error =        0.1085258E-02 iter. number =  2900 denomin. =        0.6031132E+01

  global error =        0.1045863E-02 iter. number =  3000 denomin. =        0.5911652E+01

  global error =        0.1010226E-02 iter. number =  3100 denomin. =        0.5738029E+01

  global error =        0.9829824E-03 iter. number =  3200 denomin. =        0.5526055E+01

  global error =        0.9654250E-03 iter. number =  3300 denomin. =        0.5288947E+01

  global error =        0.9471187E-03 iter. number =  3400 denomin. =        0.5046251E+01

  global error =        0.9245440E-03 iter. number =  3500 denomin. =        0.4817316E+01

  global error =        0.8969875E-03 iter. number =  3600 denomin. =        0.4617278E+01

  global error =        0.8626056E-03 iter. number =  3700 denomin. =        0.4461171E+01

  global error =        0.8215704E-03 iter. number =  3800 denomin. =        0.4357843E+01

  global error =        0.7744786E-03 iter. number =  3900 denomin. =        0.4308245E+01

  global error =        0.7270631E-03 iter. number =  4000 denomin. =        0.4312199E+01

  NO convergence  for freq. #     4 after   4001 inner iterations 
 relative error value reduction =       0.72706308E-03


  frequency number     3 frequency :       0.18750000E-01
 jw  real sour, imag sour =      3      0.12966E-01      0.60724E-01

  global error =        0.2908990E-02 iter. number =   100 denomin. =        0.4233180E+01

  global error =        0.2894498E-02 iter. number =   200 denomin. =        0.4228389E+01

  global error =        0.2693136E-02 iter. number =   300 denomin. =        0.4213713E+01

  global error =        0.2582135E-02 iter. number =   400 denomin. =        0.4267877E+01

  global error =        0.2457908E-02 iter. number =   500 denomin. =        0.4349412E+01

  global error =        0.2384798E-02 iter. number =   600 denomin. =        0.4445854E+01

  global error =        0.2220146E-02 iter. number =   700 denomin. =        0.4508832E+01

  global error =        0.2060613E-02 iter. number =   800 denomin. =        0.4558218E+01

  global error =        0.1824884E-02 iter. number =   900 denomin. =        0.4585436E+01

  global error =        0.1663781E-02 iter. number =  1000 denomin. =        0.4616113E+01

  global error =        0.1488520E-02 iter. number =  1100 denomin. =        0.4646220E+01

  global error =        0.1389875E-02 iter. number =  1200 denomin. =        0.4661175E+01

  global error =        0.1343092E-02 iter. number =  1300 denomin. =        0.4662316E+01

  global error =        0.1281225E-02 iter. number =  1400 denomin. =        0.4634831E+01

  global error =        0.1234524E-02 iter. number =  1500 denomin. =        0.4593723E+01

  global error =        0.1166304E-02 iter. number =  1600 denomin. =        0.4538520E+01

  global error =        0.1133289E-02 iter. number =  1700 denomin. =        0.4475539E+01

  global error =        0.1096443E-02 iter. number =  1800 denomin. =        0.4395138E+01

  global error =        0.1056780E-02 iter. number =  1900 denomin. =        0.4289870E+01

  global error =        0.1007939E-02 iter. number =  2000 denomin. =        0.4161543E+01

  global error =        0.9605357E-03 iter. number =  2100 denomin. =        0.4008306E+01

  global error =        0.9263099E-03 iter. number =  2200 denomin. =        0.3844230E+01

  global error =        0.8938315E-03 iter. number =  2300 denomin. =        0.3678441E+01

  global error =        0.8764392E-03 iter. number =  2400 denomin. =        0.3527550E+01

  global error =        0.8570274E-03 iter. number =  2500 denomin. =        0.3397951E+01

  global error =        0.8306318E-03 iter. number =  2600 denomin. =        0.3289268E+01

  global error =        0.8004814E-03 iter. number =  2700 denomin. =        0.3194354E+01

  global error =        0.7665601E-03 iter. number =  2800 denomin. =        0.3098769E+01

  global error =        0.7400000E-03 iter. number =  2900 denomin. =        0.3000808E+01

  global error =        0.7087659E-03 iter. number =  3000 denomin. =        0.2902150E+01

  global error =        0.6738948E-03 iter. number =  3100 denomin. =        0.2810756E+01

  global error =        0.6372192E-03 iter. number =  3200 denomin. =        0.2730975E+01

  global error =        0.5973638E-03 iter. number =  3300 denomin. =        0.2668837E+01

  global error =        0.5656896E-03 iter. number =  3400 denomin. =        0.2626596E+01

  global error =        0.5295528E-03 iter. number =  3500 denomin. =        0.2602377E+01

  global error =        0.5015647E-03 iter. number =  3600 denomin. =        0.2595473E+01

  global error =        0.4797616E-03 iter. number =  3700 denomin. =        0.2601113E+01

  global error =        0.4609302E-03 iter. number =  3800 denomin. =        0.2615693E+01

  global error =        0.4426326E-03 iter. number =  3900 denomin. =        0.2636836E+01

  global error =        0.4202608E-03 iter. number =  4000 denomin. =        0.2665777E+01

  NO convergence  for freq. #     3 after   4001 inner iterations 
 relative error value reduction =       0.42026079E-03


  frequency number     2 frequency :       0.11250000E-01
 jw  real sour, imag sour =      2      0.46918E-02      0.36980E-01

  global error =        0.3346103E-02 iter. number =   100 denomin. =        0.2634801E+01

  global error =        0.3062483E-02 iter. number =   200 denomin. =        0.2586087E+01

  global error =        0.2871207E-02 iter. number =   300 denomin. =        0.2525667E+01

  global error =        0.2720114E-02 iter. number =   400 denomin. =        0.2473383E+01

  global error =        0.2643319E-02 iter. number =   500 denomin. =        0.2438987E+01

  global error =        0.2541785E-02 iter. number =   600 denomin. =        0.2407825E+01

  global error =        0.2363579E-02 iter. number =   700 denomin. =        0.2367616E+01

  global error =        0.2111641E-02 iter. number =   800 denomin. =        0.2301470E+01

  global error =        0.1936292E-02 iter. number =   900 denomin. =        0.2260131E+01

  global error =        0.1801852E-02 iter. number =  1000 denomin. =        0.2267397E+01

  global error =        0.1672594E-02 iter. number =  1100 denomin. =        0.2288329E+01

  global error =        0.1559513E-02 iter. number =  1200 denomin. =        0.2304790E+01

  global error =        0.1497107E-02 iter. number =  1300 denomin. =        0.2316847E+01

  global error =        0.1411673E-02 iter. number =  1400 denomin. =        0.2327285E+01

  global error =        0.1339377E-02 iter. number =  1500 denomin. =        0.2331058E+01

  global error =        0.1279602E-02 iter. number =  1600 denomin. =        0.2318556E+01

  global error =        0.1210426E-02 iter. number =  1700 denomin. =        0.2294178E+01

  global error =        0.1150122E-02 iter. number =  1800 denomin. =        0.2271190E+01

  global error =        0.1074635E-02 iter. number =  1900 denomin. =        0.2259490E+01

  global error =        0.1018150E-02 iter. number =  2000 denomin. =        0.2266525E+01

  global error =        0.9658977E-03 iter. number =  2100 denomin. =        0.2290606E+01

  global error =        0.9109001E-03 iter. number =  2200 denomin. =        0.2317395E+01

  global error =        0.8584641E-03 iter. number =  2300 denomin. =        0.2340358E+01

  global error =        0.7911095E-03 iter. number =  2400 denomin. =        0.2355080E+01

  global error =        0.7202182E-03 iter. number =  2500 denomin. =        0.2360271E+01

  global error =        0.6665645E-03 iter. number =  2600 denomin. =        0.2354409E+01

  global error =        0.6306292E-03 iter. number =  2700 denomin. =        0.2341843E+01

  global error =        0.6019052E-03 iter. number =  2800 denomin. =        0.2330997E+01

  global error =        0.5704270E-03 iter. number =  2900 denomin. =        0.2323454E+01

  global error =        0.5392520E-03 iter. number =  3000 denomin. =        0.2318111E+01

  global error =        0.5074917E-03 iter. number =  3100 denomin. =        0.2312743E+01

  global error =        0.4787626E-03 iter. number =  3200 denomin. =        0.2305342E+01

  global error =        0.4501556E-03 iter. number =  3300 denomin. =        0.2292537E+01

  global error =        0.4211761E-03 iter. number =  3400 denomin. =        0.2273391E+01

  global error =        0.3969160E-03 iter. number =  3500 denomin. =        0.2248001E+01

  global error =        0.3742651E-03 iter. number =  3600 denomin. =        0.2218780E+01

  global error =        0.3579359E-03 iter. number =  3700 denomin. =        0.2188733E+01

  global error =        0.3445240E-03 iter. number =  3800 denomin. =        0.2161003E+01

  global error =        0.3289456E-03 iter. number =  3900 denomin. =        0.2138690E+01

  global error =        0.3152212E-03 iter. number =  4000 denomin. =        0.2122781E+01

  NO convergence  for freq. #     2 after   4001 inner iterations 
 relative error value reduction =       0.31522117E-03


  frequency number     1 frequency :       0.37500000E-02
 jw  real sour, imag sour =      1      0.52183E-03      0.12418E-01

  global error =        0.6562004E-02 iter. number =   100 denomin. =        0.2186905E+01

  global error =        0.4935132E-02 iter. number =   200 denomin. =        0.2121875E+01

  global error =        0.4456129E-02 iter. number =   300 denomin. =        0.2013564E+01

  global error =        0.4231162E-02 iter. number =   400 denomin. =        0.1865965E+01

  global error =        0.3922135E-02 iter. number =   500 denomin. =        0.1757274E+01

  global error =        0.3933636E-02 iter. number =   600 denomin. =        0.1671320E+01

  global error =        0.3877082E-02 iter. number =   700 denomin. =        0.1511719E+01

  global error =        0.3504487E-02 iter. number =   800 denomin. =        0.1336544E+01

  global error =        0.3117464E-02 iter. number =   900 denomin. =        0.1208495E+01

  global error =        0.3070996E-02 iter. number =  1000 denomin. =        0.1116634E+01

  global error =        0.3102984E-02 iter. number =  1100 denomin. =        0.1036733E+01

  global error =        0.3018555E-02 iter. number =  1200 denomin. =        0.9745951E+00

  global error =        0.3024766E-02 iter. number =  1300 denomin. =        0.8913464E+00

  global error =        0.2915363E-02 iter. number =  1400 denomin. =        0.8182385E+00

  global error =        0.2884355E-02 iter. number =  1500 denomin. =        0.7468177E+00

  global error =        0.2644684E-02 iter. number =  1600 denomin. =        0.6706274E+00

  global error =        0.2673414E-02 iter. number =  1700 denomin. =        0.6160512E+00

  global error =        0.2572836E-02 iter. number =  1800 denomin. =        0.5851120E+00

  global error =        0.2592536E-02 iter. number =  1900 denomin. =        0.5604647E+00

  global error =        0.2545956E-02 iter. number =  2000 denomin. =        0.5444198E+00

  global error =        0.2431032E-02 iter. number =  2100 denomin. =        0.5334746E+00

  global error =        0.2318386E-02 iter. number =  2200 denomin. =        0.5166944E+00

  global error =        0.2183219E-02 iter. number =  2300 denomin. =        0.4909405E+00

  global error =        0.2058022E-02 iter. number =  2400 denomin. =        0.4542258E+00

  global error =        0.2082860E-02 iter. number =  2500 denomin. =        0.4142327E+00

  global error =        0.1968420E-02 iter. number =  2600 denomin. =        0.3801153E+00

  global error =        0.1876560E-02 iter. number =  2700 denomin. =        0.3569140E+00

  global error =        0.1732118E-02 iter. number =  2800 denomin. =        0.3386830E+00

  global error =        0.1642313E-02 iter. number =  2900 denomin. =        0.3321887E+00

  global error =        0.1471242E-02 iter. number =  3000 denomin. =        0.3331081E+00

  global error =        0.1335014E-02 iter. number =  3100 denomin. =        0.3358442E+00

  global error =        0.1215437E-02 iter. number =  3200 denomin. =        0.3350387E+00

  global error =        0.1107307E-02 iter. number =  3300 denomin. =        0.3340287E+00

  global error =        0.1049464E-02 iter. number =  3400 denomin. =        0.3346088E+00

  global error =        0.9817091E-03 iter. number =  3500 denomin. =        0.3386139E+00

  global error =        0.9088069E-03 iter. number =  3600 denomin. =        0.3435638E+00

  global error =        0.8326582E-03 iter. number =  3700 denomin. =        0.3479606E+00

  global error =        0.8064196E-03 iter. number =  3800 denomin. =        0.3529520E+00

  global error =        0.7791839E-03 iter. number =  3900 denomin. =        0.3594913E+00

  global error =        0.8056639E-03 iter. number =  4000 denomin. =        0.3611499E+00

  NO convergence  for freq. #     1 after   4001 inner iterations 
 relative error value reduction =       0.80566389E-03

  enters outime
  leaves outime

 tiempo=       47395.332    
