
 # 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) =     5

  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


  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


  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


  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

  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

  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

 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

  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                     =       0.80000000E+02 m 
 material type number  numat  =     3

  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 #)    =   160
 material type number  numat    =     3

  from  xi                     =       0.00000000E+00 m  
 up to xf                     =       0.20000000E+03 m 
 from  yi                     =       0.80000000E+02 m  
 up to yf                     =       0.86000000E+02 m 
 material type number  numat  =     4

  from  ixi (x-global grid #)    =     1
 up to ixf (x-global grid #)    =   400
 from  iyi (y-global grid #)    =   161
 up to yf  (y-global grid #)    =   172
 material type number  numat    =     4

  from  xi                     =       0.00000000E+00 m  
 up to xf                     =       0.20000000E+03 m 
 from  yi                     =       0.86000000E+02 m  
 up to yf                     =       0.11600000E+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 #)    =   173
 up to yf  (y-global grid #)    =   232
 material type number  numat    =     3

  from  xi                     =       0.00000000E+00 m  
 up to xf                     =       0.20000000E+03 m 
 from  yi                     =       0.11600000E+03 m  
 up to yf                     =       0.12200000E+03 m 
 material type number  numat  =     5

  from  ixi (x-global grid #)    =     1
 up to ixf (x-global grid #)    =   400
 from  iyi (y-global grid #)    =   233
 up to yf  (y-global grid #)    =   244
 material type number  numat    =     5

  from  xi                     =       0.00000000E+00 m  
 up to xf                     =       0.20000000E+03 m 
 from  yi                     =       0.12200000E+03 m  
 up to yf                     =       0.15500000E+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 #)    =   245
 up to yf  (y-global grid #)    =   310
 material type number  numat    =     3

  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 =        0.4782833E-02 iter. number =   200 denomin. =        0.1308350E-03

  global error =        0.3989128E-02 iter. number =   300 denomin. =        0.1471402E-03

  global error =        0.3740511E-02 iter. number =   400 denomin. =        0.1634036E-03

  global error =        0.3004578E-02 iter. number =   500 denomin. =        0.1804604E-03

  global error =        0.2045313E-02 iter. number =   600 denomin. =        0.1914952E-03

  global error =        0.6000350E-03 iter. number =   700 denomin. =        0.1959268E-03

  global error =        0.4554742E-03 iter. number =   800 denomin. =        0.1960294E-03

  global error =        0.4473285E-03 iter. number =   900 denomin. =        0.1944710E-03

  global error =        0.3317646E-03 iter. number =  1000 denomin. =        0.1925699E-03

  global error =        0.2269714E-03 iter. number =  1100 denomin. =        0.1914425E-03

  convergence  for freq. #   200 achieved in  1180 inner iterations 
 relative error value =       0.99544544E-04


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

  global error =        0.4469356E-02 iter. number =   100 denomin. =        0.5695311E-03

  global error =        0.2661501E-02 iter. number =   200 denomin. =        0.6309147E-03

  global error =        0.2221310E-02 iter. number =   300 denomin. =        0.6808665E-03

  global error =        0.2040259E-02 iter. number =   400 denomin. =        0.7359620E-03

  global error =        0.1642918E-02 iter. number =   500 denomin. =        0.7951740E-03

  global error =        0.1108192E-02 iter. number =   600 denomin. =        0.8383698E-03

  global error =        0.3577005E-03 iter. number =   700 denomin. =        0.8640696E-03

  global error =        0.2728891E-03 iter. number =   800 denomin. =        0.8832150E-03

  global error =        0.2567624E-03 iter. number =   900 denomin. =        0.8988459E-03

  global error =        0.1807127E-03 iter. number =  1000 denomin. =        0.9114121E-03

  global error =        0.1209632E-03 iter. number =  1100 denomin. =        0.9191096E-03

  convergence  for freq. #   199 achieved in  1122 inner iterations 
 relative error value =       0.99498896E-04


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

  global error =        0.3620218E-02 iter. number =   100 denomin. =        0.1654653E-02

  global error =        0.2443032E-02 iter. number =   200 denomin. =        0.1781827E-02

  global error =        0.1997791E-02 iter. number =   300 denomin. =        0.1882104E-02

  global error =        0.1749828E-02 iter. number =   400 denomin. =        0.1970489E-02

  global error =        0.1282624E-02 iter. number =   500 denomin. =        0.2046711E-02

  global error =        0.8117137E-03 iter. number =   600 denomin. =        0.2063167E-02

  global error =        0.3780112E-03 iter. number =   700 denomin. =        0.2019043E-02

  global error =        0.3075050E-03 iter. number =   800 denomin. =        0.1954630E-02

  global error =        0.2644040E-03 iter. number =   900 denomin. =        0.1912510E-02

  global error =        0.1519414E-03 iter. number =  1000 denomin. =        0.1892817E-02

  convergence  for freq. #   198 achieved in  1096 inner iterations 
 relative error value =       0.99786785E-04


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

  global error =        0.3048113E-02 iter. number =   100 denomin. =        0.3059099E-02

  global error =        0.1997466E-02 iter. number =   200 denomin. =        0.3302007E-02

  global error =        0.1593893E-02 iter. number =   300 denomin. =        0.3527061E-02

  global error =        0.1415718E-02 iter. number =   400 denomin. =        0.3784238E-02

  global error =        0.1051696E-02 iter. number =   500 denomin. =        0.4074558E-02

  global error =        0.7464344E-03 iter. number =   600 denomin. =        0.4325510E-02

  global error =        0.3072902E-03 iter. number =   700 denomin. =        0.4506385E-02

  global error =        0.2337780E-03 iter. number =   800 denomin. =        0.4634423E-02

  global error =        0.2066036E-03 iter. number =   900 denomin. =        0.4734113E-02

  global error =        0.1385015E-03 iter. number =  1000 denomin. =        0.4804858E-02

  global error =        0.1059928E-03 iter. number =  1100 denomin. =        0.4849376E-02

  convergence  for freq. #   197 achieved in  1114 inner iterations 
 relative error value =       0.99551118E-04


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

  global error =        0.3440918E-02 iter. number =   100 denomin. =        0.6610767E-02

  global error =        0.2619141E-02 iter. number =   200 denomin. =        0.6911703E-02

  global error =        0.2236280E-02 iter. number =   300 denomin. =        0.7234997E-02

  global error =        0.1835196E-02 iter. number =   400 denomin. =        0.7499081E-02

  global error =        0.1252134E-02 iter. number =   500 denomin. =        0.7652397E-02

  global error =        0.8057820E-03 iter. number =   600 denomin. =        0.7527525E-02

  global error =        0.4724357E-03 iter. number =   700 denomin. =        0.7265895E-02

  global error =        0.3868867E-03 iter. number =   800 denomin. =        0.6985475E-02

  global error =        0.2993333E-03 iter. number =   900 denomin. =        0.6795037E-02

  global error =        0.1957903E-03 iter. number =  1000 denomin. =        0.6708091E-02

  global error =        0.1417841E-03 iter. number =  1100 denomin. =        0.6690999E-02

  global error =        0.1110791E-03 iter. number =  1200 denomin. =        0.6710274E-02

  convergence  for freq. #   196 achieved in  1261 inner iterations 
 relative error value =       0.99936611E-04


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

  global error =        0.2859239E-02 iter. number =   100 denomin. =        0.9081999E-02

  global error =        0.1929756E-02 iter. number =   200 denomin. =        0.9502771E-02

  global error =        0.1471078E-02 iter. number =   300 denomin. =        0.9798369E-02

  global error =        0.1079623E-02 iter. number =   400 denomin. =        0.1012035E-01

  global error =        0.8156302E-03 iter. number =   500 denomin. =        0.1057996E-01

  global error =        0.5556816E-03 iter. number =   600 denomin. =        0.1091722E-01

  global error =        0.2748857E-03 iter. number =   700 denomin. =        0.1116409E-01

  global error =        0.1805633E-03 iter. number =   800 denomin. =        0.1131305E-01

  global error =        0.1316937E-03 iter. number =   900 denomin. =        0.1140068E-01

  global error =        0.1013637E-03 iter. number =  1000 denomin. =        0.1145841E-01

  convergence  for freq. #   195 achieved in  1005 inner iterations 
 relative error value =       0.99849884E-04


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

  global error =        0.3016462E-02 iter. number =   100 denomin. =        0.1457962E-01

  global error =        0.2327425E-02 iter. number =   200 denomin. =        0.1527836E-01

  global error =        0.1890960E-02 iter. number =   300 denomin. =        0.1605160E-01

  global error =        0.1493030E-02 iter. number =   400 denomin. =        0.1676698E-01

  global error =        0.1108007E-02 iter. number =   500 denomin. =        0.1727955E-01

  global error =        0.6951842E-03 iter. number =   600 denomin. =        0.1741830E-01

  global error =        0.2880444E-03 iter. number =   700 denomin. =        0.1727727E-01

  global error =        0.2195551E-03 iter. number =   800 denomin. =        0.1700686E-01

  global error =        0.1902372E-03 iter. number =   900 denomin. =        0.1673605E-01

  global error =        0.1458435E-03 iter. number =  1000 denomin. =        0.1652874E-01

  global error =        0.1015562E-03 iter. number =  1100 denomin. =        0.1642076E-01

  convergence  for freq. #   194 achieved in  1104 inner iterations 
 relative error value =       0.99669958E-04


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

  global error =        0.2863395E-02 iter. number =   100 denomin. =        0.2039587E-01

  global error =        0.2101894E-02 iter. number =   200 denomin. =        0.2101812E-01

  global error =        0.1654492E-02 iter. number =   300 denomin. =        0.2172754E-01

  global error =        0.1269716E-02 iter. number =   400 denomin. =        0.2266900E-01

  global error =        0.8668279E-03 iter. number =   500 denomin. =        0.2371197E-01

  global error =        0.5303654E-03 iter. number =   600 denomin. =        0.2457894E-01

  global error =        0.2550620E-03 iter. number =   700 denomin. =        0.2514263E-01

  global error =        0.2016259E-03 iter. number =   800 denomin. =        0.2553610E-01

  global error =        0.1696005E-03 iter. number =   900 denomin. =        0.2584341E-01

  global error =        0.1059300E-03 iter. number =  1000 denomin. =        0.2606439E-01

  convergence  for freq. #   193 achieved in  1012 inner iterations 
 relative error value =       0.99765213E-04


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

  global error =        0.3249955E-02 iter. number =   100 denomin. =        0.3142277E-01

  global error =        0.2505177E-02 iter. number =   200 denomin. =        0.3166566E-01

  global error =        0.1974706E-02 iter. number =   300 denomin. =        0.3135526E-01

  global error =        0.1542712E-02 iter. number =   400 denomin. =        0.3076225E-01

  global error =        0.9458863E-03 iter. number =   500 denomin. =        0.3027305E-01

  global error =        0.5549406E-03 iter. number =   600 denomin. =        0.2960610E-01

  global error =        0.4261076E-03 iter. number =   700 denomin. =        0.2888996E-01

  global error =        0.3114869E-03 iter. number =   800 denomin. =        0.2841707E-01

  global error =        0.2092507E-03 iter. number =   900 denomin. =        0.2830636E-01

  global error =        0.1087611E-03 iter. number =  1000 denomin. =        0.2833665E-01

  convergence  for freq. #   192 achieved in  1024 inner iterations 
 relative error value =       0.99753455E-04


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

  global error =        0.2724575E-02 iter. number =   100 denomin. =        0.3480896E-01

  global error =        0.1949320E-02 iter. number =   200 denomin. =        0.3654809E-01

  global error =        0.1462773E-02 iter. number =   300 denomin. =        0.3867078E-01

  global error =        0.1213181E-02 iter. number =   400 denomin. =        0.4136251E-01

  global error =        0.8322843E-03 iter. number =   500 denomin. =        0.4429483E-01

  global error =        0.5921962E-03 iter. number =   600 denomin. =        0.4691050E-01

  global error =        0.3176724E-03 iter. number =   700 denomin. =        0.4893644E-01

  global error =        0.2333756E-03 iter. number =   800 denomin. =        0.5050542E-01

  global error =        0.1882093E-03 iter. number =   900 denomin. =        0.5170240E-01

  global error =        0.1224558E-03 iter. number =  1000 denomin. =        0.5258739E-01

  convergence  for freq. #   191 achieved in  1068 inner iterations 
 relative error value =       0.99945177E-04


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

  global error =        0.3539193E-02 iter. number =   100 denomin. =        0.6158263E-01

  global error =        0.2871223E-02 iter. number =   200 denomin. =        0.6273429E-01

  global error =        0.2486749E-02 iter. number =   300 denomin. =        0.6341013E-01

  global error =        0.1968756E-02 iter. number =   400 denomin. =        0.6307042E-01

  global error =        0.1316152E-02 iter. number =   500 denomin. =        0.6147412E-01

  global error =        0.8605143E-03 iter. number =   600 denomin. =        0.5829626E-01

  global error =        0.5841542E-03 iter. number =   700 denomin. =        0.5520664E-01

  global error =        0.4806403E-03 iter. number =   800 denomin. =        0.5276479E-01

  global error =        0.3541397E-03 iter. number =   900 denomin. =        0.5148279E-01

  global error =        0.2224969E-03 iter. number =  1000 denomin. =        0.5127365E-01

  global error =        0.1550518E-03 iter. number =  1100 denomin. =        0.5163731E-01

  global error =        0.1160629E-03 iter. number =  1200 denomin. =        0.5212862E-01

  convergence  for freq. #   190 achieved in  1253 inner iterations 
 relative error value =       0.99990226E-04


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

  global error =        0.2787709E-02 iter. number =   100 denomin. =        0.6203588E-01

  global error =        0.1941127E-02 iter. number =   200 denomin. =        0.6443607E-01

  global error =        0.1428522E-02 iter. number =   300 denomin. =        0.6633927E-01

  global error =        0.9493463E-03 iter. number =   400 denomin. =        0.6853985E-01

  global error =        0.7138008E-03 iter. number =   500 denomin. =        0.7160857E-01

  global error =        0.5019535E-03 iter. number =   600 denomin. =        0.7393863E-01

  global error =        0.2954875E-03 iter. number =   700 denomin. =        0.7576176E-01

  global error =        0.1847574E-03 iter. number =   800 denomin. =        0.7693956E-01

  global error =        0.1223582E-03 iter. number =   900 denomin. =        0.7771516E-01

  convergence  for freq. #   189 achieved in   968 inner iterations 
 relative error value =       0.99756214E-04


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

  global error =        0.3098281E-02 iter. number =   100 denomin. =        0.9005420E-01

  global error =        0.2465647E-02 iter. number =   200 denomin. =        0.9271455E-01

  global error =        0.2004866E-02 iter. number =   300 denomin. =        0.9556921E-01

  global error =        0.1559800E-02 iter. number =   400 denomin. =        0.9773888E-01

  global error =        0.1139349E-02 iter. number =   500 denomin. =        0.9884366E-01

  global error =        0.7103920E-03 iter. number =   600 denomin. =        0.9875427E-01

  global error =        0.3222196E-03 iter. number =   700 denomin. =        0.9776938E-01

  global error =        0.2430499E-03 iter. number =   800 denomin. =        0.9647613E-01

  global error =        0.1954557E-03 iter. number =   900 denomin. =        0.9539287E-01

  global error =        0.1416410E-03 iter. number =  1000 denomin. =        0.9466129E-01

  convergence  for freq. #   188 achieved in  1085 inner iterations 
 relative error value =       0.99676524E-04


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

  global error =        0.2938184E-02 iter. number =   100 denomin. =        0.1087733E+00

  global error =        0.2250661E-02 iter. number =   200 denomin. =        0.1118591E+00

  global error =        0.1804944E-02 iter. number =   300 denomin. =        0.1159280E+00

  global error =        0.1384217E-02 iter. number =   400 denomin. =        0.1212848E+00

  global error =        0.9099487E-03 iter. number =   500 denomin. =        0.1262497E+00

  global error =        0.5774894E-03 iter. number =   600 denomin. =        0.1299426E+00

  global error =        0.3004029E-03 iter. number =   700 denomin. =        0.1316975E+00

  global error =        0.2266153E-03 iter. number =   800 denomin. =        0.1325110E+00

  global error =        0.1723418E-03 iter. number =   900 denomin. =        0.1331365E+00

  global error =        0.1015147E-03 iter. number =  1000 denomin. =        0.1334176E+00

  convergence  for freq. #   187 achieved in  1003 inner iterations 
 relative error value =       0.99924099E-04


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

  global error =        0.3451238E-02 iter. number =   100 denomin. =        0.1394513E+00

  global error =        0.2632397E-02 iter. number =   200 denomin. =        0.1358049E+00

  global error =        0.2064468E-02 iter. number =   300 denomin. =        0.1294530E+00

  global error =        0.1555505E-02 iter. number =   400 denomin. =        0.1225747E+00

  global error =        0.9619261E-03 iter. number =   500 denomin. =        0.1174182E+00

  global error =        0.5707726E-03 iter. number =   600 denomin. =        0.1148129E+00

  global error =        0.4382363E-03 iter. number =   700 denomin. =        0.1142236E+00

  global error =        0.2915388E-03 iter. number =   800 denomin. =        0.1148440E+00

  global error =        0.1918815E-03 iter. number =   900 denomin. =        0.1157295E+00

  global error =        0.1091501E-03 iter. number =  1000 denomin. =        0.1159832E+00

  convergence  for freq. #   186 achieved in  1027 inner iterations 
 relative error value =       0.99788208E-04


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

  global error =        0.2911717E-02 iter. number =   100 denomin. =        0.1214579E+00

  global error =        0.2170164E-02 iter. number =   200 denomin. =        0.1243457E+00

  global error =        0.1651303E-02 iter. number =   300 denomin. =        0.1303719E+00

  global error =        0.1319247E-02 iter. number =   400 denomin. =        0.1386504E+00

  global error =        0.8416721E-03 iter. number =   500 denomin. =        0.1468121E+00

  global error =        0.5610775E-03 iter. number =   600 denomin. =        0.1536761E+00

  global error =        0.3366522E-03 iter. number =   700 denomin. =        0.1589428E+00

  global error =        0.2551839E-03 iter. number =   800 denomin. =        0.1628845E+00

  global error =        0.1985551E-03 iter. number =   900 denomin. =        0.1656926E+00

  global error =        0.1276737E-03 iter. number =  1000 denomin. =        0.1676665E+00

  convergence  for freq. #   185 achieved in  1074 inner iterations 
 relative error value =       0.99944821E-04


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

  global error =        0.3723734E-02 iter. number =   100 denomin. =        0.1753201E+00

  global error =        0.3029567E-02 iter. number =   200 denomin. =        0.1717189E+00

  global error =        0.2608764E-02 iter. number =   300 denomin. =        0.1650086E+00

  global error =        0.2018207E-02 iter. number =   400 denomin. =        0.1550654E+00

  global error =        0.1369783E-02 iter. number =   500 denomin. =        0.1440332E+00

  global error =        0.8945380E-03 iter. number =   600 denomin. =        0.1345357E+00

  global error =        0.6397379E-03 iter. number =   700 denomin. =        0.1295574E+00

  global error =        0.5132079E-03 iter. number =   800 denomin. =        0.1281609E+00

  global error =        0.3487087E-03 iter. number =   900 denomin. =        0.1292213E+00

  global error =        0.2201044E-03 iter. number =  1000 denomin. =        0.1309977E+00

  global error =        0.1533063E-03 iter. number =  1100 denomin. =        0.1322640E+00

  global error =        0.1161015E-03 iter. number =  1200 denomin. =        0.1326512E+00

  convergence  for freq. #   184 achieved in  1260 inner iterations 
 relative error value =       0.99743229E-04


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

  global error =        0.2847585E-02 iter. number =   100 denomin. =        0.1387420E+00

  global error =        0.2015614E-02 iter. number =   200 denomin. =        0.1427272E+00

  global error =        0.1492442E-02 iter. number =   300 denomin. =        0.1476494E+00

  global error =        0.1026403E-02 iter. number =   400 denomin. =        0.1536336E+00

  global error =        0.7399530E-03 iter. number =   500 denomin. =        0.1598769E+00

  global error =        0.4870396E-03 iter. number =   600 denomin. =        0.1645016E+00

  global error =        0.2765823E-03 iter. number =   700 denomin. =        0.1678299E+00

  global error =        0.1678372E-03 iter. number =   800 denomin. =        0.1698571E+00

  global error =        0.1176124E-03 iter. number =   900 denomin. =        0.1712317E+00

  convergence  for freq. #   183 achieved in   951 inner iterations 
 relative error value =       0.99926125E-04


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

  global error =        0.3306728E-02 iter. number =   100 denomin. =        0.1794120E+00

  global error =        0.2656948E-02 iter. number =   200 denomin. =        0.1789626E+00

  global error =        0.2149922E-02 iter. number =   300 denomin. =        0.1781180E+00

  global error =        0.1611064E-02 iter. number =   400 denomin. =        0.1759463E+00

  global error =        0.1083975E-02 iter. number =   500 denomin. =        0.1736318E+00

  global error =        0.6319860E-03 iter. number =   600 denomin. =        0.1722257E+00

  global error =        0.2977577E-03 iter. number =   700 denomin. =        0.1717944E+00

  global error =        0.2396611E-03 iter. number =   800 denomin. =        0.1721520E+00

  global error =        0.1925358E-03 iter. number =   900 denomin. =        0.1730849E+00

  global error =        0.1368435E-03 iter. number =  1000 denomin. =        0.1739695E+00

  convergence  for freq. #   182 achieved in  1066 inner iterations 
 relative error value =       0.99966015E-04


  frequency number   181 frequency :       0.13537500E+01
 jw  real sour, imag sour =    181      0.22054E-01     -0.38617E-01

  global error =        0.3129959E-02 iter. number =   100 denomin. =        0.1845891E+00

  global error =        0.2457616E-02 iter. number =   200 denomin. =        0.1884134E+00

  global error =        0.1975609E-02 iter. number =   300 denomin. =        0.1936493E+00

  global error =        0.1495626E-02 iter. number =   400 denomin. =        0.2001831E+00

  global error =        0.9896373E-03 iter. number =   500 denomin. =        0.2049422E+00

  global error =        0.6368682E-03 iter. number =   600 denomin. =        0.2074148E+00

  global error =        0.3186610E-03 iter. number =   700 denomin. =        0.2067770E+00

  global error =        0.2424471E-03 iter. number =   800 denomin. =        0.2052325E+00

  global error =        0.1799018E-03 iter. number =   900 denomin. =        0.2037636E+00

  global error =        0.1168266E-03 iter. number =  1000 denomin. =        0.2024974E+00

  convergence  for freq. #   181 achieved in  1041 inner iterations 
 relative error value =       0.99999923E-04


  frequency number   180 frequency :       0.13462500E+01
 jw  real sour, imag sour =    180      0.26394E-01     -0.38329E-01

  global error =        0.3408708E-02 iter. number =   100 denomin. =        0.2087999E+00

  global error =        0.2493719E-02 iter. number =   200 denomin. =        0.2044031E+00

  global error =        0.1920199E-02 iter. number =   300 denomin. =        0.1968185E+00

  global error =        0.1373480E-02 iter. number =   400 denomin. =        0.1896234E+00

  global error =        0.8110468E-03 iter. number =   500 denomin. =        0.1855332E+00

  global error =        0.4687204E-03 iter. number =   600 denomin. =        0.1858859E+00

  global error =        0.3235886E-03 iter. number =   700 denomin. =        0.1888792E+00

  global error =        0.2315266E-03 iter. number =   800 denomin. =        0.1919154E+00

  global error =        0.1618362E-03 iter. number =   900 denomin. =        0.1937683E+00

  convergence  for freq. #   180 achieved in   995 inner iterations 
 relative error value =       0.99493862E-04


  frequency number   179 frequency :       0.13387500E+01
 jw  real sour, imag sour =    179      0.30885E-01     -0.37635E-01

  global error =        0.3139656E-02 iter. number =   100 denomin. =        0.2023940E+00

  global error =        0.2451001E-02 iter. number =   200 denomin. =        0.2070344E+00

  global error =        0.1984142E-02 iter. number =   300 denomin. =        0.2160905E+00

  global error =        0.1583001E-02 iter. number =   400 denomin. =        0.2272368E+00

  global error =        0.1077906E-02 iter. number =   500 denomin. =        0.2362855E+00

  global error =        0.6907715E-03 iter. number =   600 denomin. =        0.2411977E+00

  global error =        0.3736682E-03 iter. number =   700 denomin. =        0.2426501E+00

  global error =        0.3042085E-03 iter. number =   800 denomin. =        0.2420928E+00

  global error =        0.2342533E-03 iter. number =   900 denomin. =        0.2407442E+00

  global error =        0.1562757E-03 iter. number =  1000 denomin. =        0.2391556E+00

  global error =        0.1023287E-03 iter. number =  1100 denomin. =        0.2375922E+00

  convergence  for freq. #   179 achieved in  1105 inner iterations 
 relative error value =       0.99698856E-04


  frequency number   178 frequency :       0.13312500E+01
 jw  real sour, imag sour =    178      0.35494E-01     -0.36505E-01

  global error =        0.3524051E-02 iter. number =   100 denomin. =        0.2429119E+00

  global error =        0.2601881E-02 iter. number =   200 denomin. =        0.2325385E+00

  global error =        0.2106147E-02 iter. number =   300 denomin. =        0.2202065E+00

  global error =        0.1474688E-02 iter. number =   400 denomin. =        0.2086113E+00

  global error =        0.9436178E-03 iter. number =   500 denomin. =        0.2019305E+00

  global error =        0.6040071E-03 iter. number =   600 denomin. =        0.2014789E+00

  global error =        0.4403255E-03 iter. number =   700 denomin. =        0.2054383E+00

  global error =        0.3224524E-03 iter. number =   800 denomin. =        0.2102316E+00

  global error =        0.2086271E-03 iter. number =   900 denomin. =        0.2133492E+00

  global error =        0.1303423E-03 iter. number =  1000 denomin. =        0.2141398E+00

  convergence  for freq. #   178 achieved in  1065 inner iterations 
 relative error value =       0.99841669E-04


  frequency number   177 frequency :       0.13237500E+01
 jw  real sour, imag sour =    177      0.40185E-01     -0.34911E-01

  global error =        0.3109970E-02 iter. number =   100 denomin. =        0.2227549E+00

  global error =        0.2376288E-02 iter. number =   200 denomin. =        0.2312285E+00

  global error =        0.1927826E-02 iter. number =   300 denomin. =        0.2419820E+00

  global error =        0.1488078E-02 iter. number =   400 denomin. =        0.2525624E+00

  global error =        0.1054928E-02 iter. number =   500 denomin. =        0.2598928E+00

  global error =        0.6535722E-03 iter. number =   600 denomin. =        0.2624129E+00

  global error =        0.3398296E-03 iter. number =   700 denomin. =        0.2609498E+00

  global error =        0.2704181E-03 iter. number =   800 denomin. =        0.2573833E+00

  global error =        0.2164251E-03 iter. number =   900 denomin. =        0.2538009E+00

  global error =        0.1531611E-03 iter. number =  1000 denomin. =        0.2507620E+00

  convergence  for freq. #   177 achieved in  1091 inner iterations 
 relative error value =       0.99806315E-04


  frequency number   176 frequency :       0.13162500E+01
 jw  real sour, imag sour =    176      0.44918E-01     -0.32829E-01

  global error =        0.3286193E-02 iter. number =   100 denomin. =        0.2551754E+00

  global error =        0.2448727E-02 iter. number =   200 denomin. =        0.2494768E+00

  global error =        0.1873134E-02 iter. number =   300 denomin. =        0.2456325E+00

  global error =        0.1305316E-02 iter. number =   400 denomin. =        0.2434677E+00

  global error =        0.7401059E-03 iter. number =   500 denomin. =        0.2453010E+00

  global error =        0.4940361E-03 iter. number =   600 denomin. =        0.2506293E+00

  global error =        0.3476232E-03 iter. number =   700 denomin. =        0.2573993E+00

  global error =        0.2608000E-03 iter. number =   800 denomin. =        0.2632496E+00

  global error =        0.1700393E-03 iter. number =   900 denomin. =        0.2666721E+00

  global error =        0.1007610E-03 iter. number =  1000 denomin. =        0.2677304E+00

  convergence  for freq. #   176 achieved in  1002 inner iterations 
 relative error value =       0.99960774E-04


  frequency number   175 frequency :       0.13087500E+01
 jw  real sour, imag sour =    175      0.49648E-01     -0.30234E-01

  global error =        0.3268346E-02 iter. number =   100 denomin. =        0.2816515E+00

  global error =        0.2587032E-02 iter. number =   200 denomin. =        0.2884501E+00

  global error =        0.2109159E-02 iter. number =   300 denomin. =        0.2961936E+00

  global error =        0.1634041E-02 iter. number =   400 denomin. =        0.3029122E+00

  global error =        0.1121863E-02 iter. number =   500 denomin. =        0.3051670E+00

  global error =        0.6873280E-03 iter. number =   600 denomin. =        0.3020996E+00

  global error =        0.3242439E-03 iter. number =   700 denomin. =        0.2951444E+00

  global error =        0.2491271E-03 iter. number =   800 denomin. =        0.2880217E+00

  global error =        0.1995885E-03 iter. number =   900 denomin. =        0.2822333E+00

  global error =        0.1393230E-03 iter. number =  1000 denomin. =        0.2785171E+00

  convergence  for freq. #   175 achieved in  1071 inner iterations 
 relative error value =       0.99525949E-04


  frequency number   174 frequency :       0.13012500E+01
 jw  real sour, imag sour =    174      0.54328E-01     -0.27109E-01

  global error =        0.3139978E-02 iter. number =   100 denomin. =        0.2860119E+00

  global error =        0.2288840E-02 iter. number =   200 denomin. =        0.2855641E+00

  global error =        0.1724389E-02 iter. number =   300 denomin. =        0.2838114E+00

  global error =        0.1159779E-02 iter. number =   400 denomin. =        0.2836825E+00

  global error =        0.6814787E-03 iter. number =   500 denomin. =        0.2876015E+00

  global error =        0.4323961E-03 iter. number =   600 denomin. =        0.2947164E+00

  global error =        0.2646090E-03 iter. number =   700 denomin. =        0.3024715E+00

  global error =        0.2033281E-03 iter. number =   800 denomin. =        0.3086416E+00

  global error =        0.1340346E-03 iter. number =   900 denomin. =        0.3124540E+00

  convergence  for freq. #   174 achieved in   965 inner iterations 
 relative error value =       0.99565342E-04


  frequency number   173 frequency :       0.12937500E+01
 jw  real sour, imag sour =    173      0.58906E-01     -0.23438E-01

  global error =        0.3381283E-02 iter. number =   100 denomin. =        0.3282839E+00

  global error =        0.2744823E-02 iter. number =   200 denomin. =        0.3322540E+00

  global error =        0.2271320E-02 iter. number =   300 denomin. =        0.3376639E+00

  global error =        0.1774390E-02 iter. number =   400 denomin. =        0.3410238E+00

  global error =        0.1236329E-02 iter. number =   500 denomin. =        0.3393374E+00

  global error =        0.7439126E-03 iter. number =   600 denomin. =        0.3322434E+00

  global error =        0.3819286E-03 iter. number =   700 denomin. =        0.3211545E+00

  global error =        0.3016982E-03 iter. number =   800 denomin. =        0.3107257E+00

  global error =        0.2364205E-03 iter. number =   900 denomin. =        0.3034476E+00

  global error =        0.1565871E-03 iter. number =  1000 denomin. =        0.2995599E+00

  convergence  for freq. #   173 achieved in  1083 inner iterations 
 relative error value =       0.99353029E-04


  frequency number   172 frequency :       0.12862500E+01
 jw  real sour, imag sour =    172      0.63327E-01     -0.19211E-01

  global error =        0.3008384E-02 iter. number =   100 denomin. =        0.3110745E+00

  global error =        0.2112339E-02 iter. number =   200 denomin. =        0.3088442E+00

  global error =        0.1584245E-02 iter. number =   300 denomin. =        0.3093242E+00

  global error =        0.1071430E-02 iter. number =   400 denomin. =        0.3154196E+00

  global error =        0.6444508E-03 iter. number =   500 denomin. =        0.3257534E+00

  global error =        0.4654111E-03 iter. number =   600 denomin. =        0.3383328E+00

  global error =        0.2730620E-03 iter. number =   700 denomin. =        0.3495361E+00

  global error =        0.2068690E-03 iter. number =   800 denomin. =        0.3586795E+00

  global error =        0.1486557E-03 iter. number =   900 denomin. =        0.3648961E+00

  convergence  for freq. #   172 achieved in   995 inner iterations 
 relative error value =       0.99701186E-04


  frequency number   171 frequency :       0.12787500E+01
 jw  real sour, imag sour =    171      0.67534E-01     -0.14422E-01

  global error =        0.3643648E-02 iter. number =   100 denomin. =        0.3864540E+00

  global error =        0.2937076E-02 iter. number =   200 denomin. =        0.3963537E+00

  global error =        0.2507547E-02 iter. number =   300 denomin. =        0.4028691E+00

  global error =        0.2021829E-02 iter. number =   400 denomin. =        0.4032640E+00

  global error =        0.1386796E-02 iter. number =   500 denomin. =        0.3945052E+00

  global error =        0.8763219E-03 iter. number =   600 denomin. =        0.3759637E+00

  global error =        0.5461206E-03 iter. number =   700 denomin. =        0.3545151E+00

  global error =        0.4631500E-03 iter. number =   800 denomin. =        0.3360973E+00

  global error =        0.3526428E-03 iter. number =   900 denomin. =        0.3238834E+00

  global error =        0.2310980E-03 iter. number =  1000 denomin. =        0.3181044E+00

  global error =        0.1483455E-03 iter. number =  1100 denomin. =        0.3169335E+00

  global error =        0.1038588E-03 iter. number =  1200 denomin. =        0.3181716E+00

  convergence  for freq. #   171 achieved in  1219 inner iterations 
 relative error value =       0.99853354E-04


  frequency number   170 frequency :       0.12712500E+01
 jw  real sour, imag sour =    170      0.71465E-01     -0.90696E-02

  global error =        0.2973464E-02 iter. number =   100 denomin. =        0.3308735E+00

  global error =        0.2129592E-02 iter. number =   200 denomin. =        0.3315101E+00

  global error =        0.1564788E-02 iter. number =   300 denomin. =        0.3370443E+00

  global error =        0.1063295E-02 iter. number =   400 denomin. =        0.3457548E+00

  global error =        0.6438170E-03 iter. number =   500 denomin. =        0.3595955E+00

  global error =        0.4728006E-03 iter. number =   600 denomin. =        0.3732967E+00

  global error =        0.3138417E-03 iter. number =   700 denomin. =        0.3853396E+00

  global error =        0.2044244E-03 iter. number =   800 denomin. =        0.3941089E+00

  global error =        0.1337665E-03 iter. number =   900 denomin. =        0.3991664E+00

  convergence  for freq. #   170 achieved in   958 inner iterations 
 relative error value =       0.99601042E-04


  frequency number   169 frequency :       0.12637500E+01
 jw  real sour, imag sour =    169      0.75058E-01     -0.31607E-02

  global error =        0.3457224E-02 iter. number =   100 denomin. =        0.4194489E+00

  global error =        0.2788425E-02 iter. number =   200 denomin. =        0.4271223E+00

  global error =        0.2316088E-02 iter. number =   300 denomin. =        0.4313769E+00

  global error =        0.1814840E-02 iter. number =   400 denomin. =        0.4299463E+00

  global error =        0.1285242E-02 iter. number =   500 denomin. =        0.4210972E+00

  global error =        0.7857166E-03 iter. number =   600 denomin. =        0.4073601E+00

  global error =        0.4174010E-03 iter. number =   700 denomin. =        0.3938709E+00

  global error =        0.3353901E-03 iter. number =   800 denomin. =        0.3830934E+00

  global error =        0.2695120E-03 iter. number =   900 denomin. =        0.3764075E+00

  global error =        0.1932138E-03 iter. number =  1000 denomin. =        0.3739588E+00

  global error =        0.1213852E-03 iter. number =  1100 denomin. =        0.3743672E+00

  convergence  for freq. #   169 achieved in  1134 inner iterations 
 relative error value =       0.99915348E-04


  frequency number   168 frequency :       0.12562500E+01
 jw  real sour, imag sour =    168      0.78249E-01      0.32935E-02

  global error =        0.3032218E-02 iter. number =   100 denomin. =        0.3922107E+00

  global error =        0.2321981E-02 iter. number =   200 denomin. =        0.4012490E+00

  global error =        0.1804040E-02 iter. number =   300 denomin. =        0.4115631E+00

  global error =        0.1288857E-02 iter. number =   400 denomin. =        0.4238851E+00

  global error =        0.8371989E-03 iter. number =   500 denomin. =        0.4362338E+00

  global error =        0.5242657E-03 iter. number =   600 denomin. =        0.4461318E+00

  global error =        0.2661302E-03 iter. number =   700 denomin. =        0.4521162E+00

  global error =        0.2009187E-03 iter. number =   800 denomin. =        0.4547315E+00

  global error =        0.1523337E-03 iter. number =   900 denomin. =        0.4560356E+00

  global error =        0.9976713E-04 iter. number =  1000 denomin. =        0.4563689E+00

  convergence  for freq. #   168 achieved in  1000 inner iterations 
 relative error value =       0.99767131E-04


  frequency number   167 frequency :       0.12487500E+01
 jw  real sour, imag sour =    167      0.80972E-01      0.10275E-01

  global error =        0.3507945E-02 iter. number =   100 denomin. =        0.4729396E+00

  global error =        0.2756422E-02 iter. number =   200 denomin. =        0.4640248E+00

  global error =        0.2182608E-02 iter. number =   300 denomin. =        0.4533434E+00

  global error =        0.1610403E-02 iter. number =   400 denomin. =        0.4398146E+00

  global error =        0.9965197E-03 iter. number =   500 denomin. =        0.4290992E+00

  global error =        0.5725818E-03 iter. number =   600 denomin. =        0.4236190E+00

  global error =        0.3893685E-03 iter. number =   700 denomin. =        0.4218893E+00

  global error =        0.2789000E-03 iter. number =   800 denomin. =        0.4233201E+00

  global error =        0.1857437E-03 iter. number =   900 denomin. =        0.4256819E+00

  global error =        0.1121263E-03 iter. number =  1000 denomin. =        0.4263401E+00

  convergence  for freq. #   167 achieved in  1036 inner iterations 
 relative error value =       0.99971260E-04


  frequency number   166 frequency :       0.12412500E+01
 jw  real sour, imag sour =    166      0.83162E-01      0.17757E-01

  global error =        0.3148231E-02 iter. number =   100 denomin. =        0.4473555E+00

  global error =        0.2383442E-02 iter. number =   200 denomin. =        0.4558755E+00

  global error =        0.1850638E-02 iter. number =   300 denomin. =        0.4727523E+00

  global error =        0.1406886E-02 iter. number =   400 denomin. =        0.4984801E+00

  global error =        0.8900214E-03 iter. number =   500 denomin. =        0.5230646E+00

  global error =        0.5816471E-03 iter. number =   600 denomin. =        0.5425271E+00

  global error =        0.3077726E-03 iter. number =   700 denomin. =        0.5553145E+00

  global error =        0.2325287E-03 iter. number =   800 denomin. =        0.5651454E+00

  global error =        0.1762472E-03 iter. number =   900 denomin. =        0.5721566E+00

  global error =        0.1076266E-03 iter. number =  1000 denomin. =        0.5766285E+00

  convergence  for freq. #   166 achieved in  1018 inner iterations 
 relative error value =       0.99989012E-04


  frequency number   165 frequency :       0.12337500E+01
 jw  real sour, imag sour =    165      0.84753E-01      0.25709E-01

  global error =        0.3897883E-02 iter. number =   100 denomin. =        0.5941759E+00

  global error =        0.3076038E-02 iter. number =   200 denomin. =        0.5833546E+00

  global error =        0.2602593E-02 iter. number =   300 denomin. =        0.5572902E+00

  global error =        0.1989487E-02 iter. number =   400 denomin. =        0.5194916E+00

  global error =        0.1248923E-02 iter. number =   500 denomin. =        0.4821272E+00

  global error =        0.7449612E-03 iter. number =   600 denomin. =        0.4535709E+00

  global error =        0.5051951E-03 iter. number =   700 denomin. =        0.4419828E+00

  global error =        0.3894462E-03 iter. number =   800 denomin. =        0.4409564E+00

  global error =        0.2546842E-03 iter. number =   900 denomin. =        0.4449325E+00

  global error =        0.1322022E-03 iter. number =  1000 denomin. =        0.4485206E+00

  convergence  for freq. #   165 achieved in  1060 inner iterations 
 relative error value =       0.99727771E-04


  frequency number   164 frequency :       0.12262500E+01
 jw  real sour, imag sour =    164      0.85681E-01      0.34090E-01

  global error =        0.3030523E-02 iter. number =   100 denomin. =        0.4645131E+00

  global error =        0.2237867E-02 iter. number =   200 denomin. =        0.4692017E+00

  global error =        0.1647260E-02 iter. number =   300 denomin. =        0.4845833E+00

  global error =        0.1181021E-02 iter. number =   400 denomin. =        0.5061762E+00

  global error =        0.8218553E-03 iter. number =   500 denomin. =        0.5298352E+00

  global error =        0.5424984E-03 iter. number =   600 denomin. =        0.5466527E+00

  global error =        0.3084563E-03 iter. number =   700 denomin. =        0.5598471E+00

  global error =        0.2151803E-03 iter. number =   800 denomin. =        0.5683763E+00

  global error =        0.1658583E-03 iter. number =   900 denomin. =        0.5739566E+00

  global error =        0.1141682E-03 iter. number =  1000 denomin. =        0.5777183E+00

  convergence  for freq. #   164 achieved in  1039 inner iterations 
 relative error value =       0.99827812E-04


  frequency number   163 frequency :       0.12187500E+01
 jw  real sour, imag sour =    163      0.85883E-01      0.42853E-01

  global error =        0.3566395E-02 iter. number =   100 denomin. =        0.5971147E+00

  global error =        0.2825045E-02 iter. number =   200 denomin. =        0.5903444E+00

  global error =        0.2301621E-02 iter. number =   300 denomin. =        0.5758194E+00

  global error =        0.1725035E-02 iter. number =   400 denomin. =        0.5573557E+00

  global error =        0.1208373E-02 iter. number =   500 denomin. =        0.5399784E+00

  global error =        0.7399847E-03 iter. number =   600 denomin. =        0.5311402E+00

  global error =        0.4001932E-03 iter. number =   700 denomin. =        0.5319624E+00

  global error =        0.3123092E-03 iter. number =   800 denomin. =        0.5388431E+00

  global error =        0.2409176E-03 iter. number =   900 denomin. =        0.5478585E+00

  global error =        0.1759396E-03 iter. number =  1000 denomin. =        0.5554526E+00

  global error =        0.1153779E-03 iter. number =  1100 denomin. =        0.5595651E+00

  convergence  for freq. #   163 achieved in  1129 inner iterations 
 relative error value =       0.99515404E-04


  frequency number   162 frequency :       0.12112500E+01
 jw  real sour, imag sour =    162      0.85299E-01      0.51942E-01

  global error =        0.3333947E-02 iter. number =   100 denomin. =        0.5866083E+00

  global error =        0.2659193E-02 iter. number =   200 denomin. =        0.6003518E+00

  global error =        0.2160494E-02 iter. number =   300 denomin. =        0.6153837E+00

  global error =        0.1678221E-02 iter. number =   400 denomin. =        0.6287834E+00

  global error =        0.1141409E-02 iter. number =   500 denomin. =        0.6330788E+00

  global error =        0.7310447E-03 iter. number =   600 denomin. =        0.6270451E+00

  global error =        0.4298575E-03 iter. number =   700 denomin. =        0.6088772E+00

  global error =        0.3413285E-03 iter. number =   800 denomin. =        0.5894716E+00

  global error =        0.2583914E-03 iter. number =   900 denomin. =        0.5746618E+00

  global error =        0.1738254E-03 iter. number =  1000 denomin. =        0.5649954E+00

  global error =        0.1236079E-03 iter. number =  1100 denomin. =        0.5595799E+00

  convergence  for freq. #   162 achieved in  1167 inner iterations 
 relative error value =       0.99809977E-04


  frequency number   161 frequency :       0.12037500E+01
 jw  real sour, imag sour =    161      0.83871E-01      0.61295E-01

  global error =        0.3178737E-02 iter. number =   100 denomin. =        0.5781074E+00

  global error =        0.2266163E-02 iter. number =   200 denomin. =        0.5766991E+00

  global error =        0.1625985E-02 iter. number =   300 denomin. =        0.5796421E+00

  global error =        0.1126755E-02 iter. number =   400 denomin. =        0.5905207E+00

  global error =        0.6059355E-03 iter. number =   500 denomin. =        0.6069704E+00

  global error =        0.4497301E-03 iter. number =   600 denomin. =        0.6290799E+00

  global error =        0.3327705E-03 iter. number =   700 denomin. =        0.6494775E+00

  global error =        0.2082326E-03 iter. number =   800 denomin. =        0.6630896E+00

  global error =        0.1412403E-03 iter. number =   900 denomin. =        0.6693755E+00

  convergence  for freq. #   161 achieved in   964 inner iterations 
 relative error value =       0.99828254E-04


  frequency number   160 frequency :       0.11962500E+01
 jw  real sour, imag sour =    160      0.81546E-01      0.70842E-01

  global error =        0.3538510E-02 iter. number =   100 denomin. =        0.7043060E+00

  global error =        0.2830073E-02 iter. number =   200 denomin. =        0.7228680E+00

  global error =        0.2388048E-02 iter. number =   300 denomin. =        0.7498942E+00

  global error =        0.1911133E-02 iter. number =   400 denomin. =        0.7765696E+00

  global error =        0.1243497E-02 iter. number =   500 denomin. =        0.7867232E+00

  global error =        0.7573386E-03 iter. number =   600 denomin. =        0.7759232E+00

  global error =        0.4246123E-03 iter. number =   700 denomin. =        0.7543251E+00

  global error =        0.3370002E-03 iter. number =   800 denomin. =        0.7328872E+00

  global error =        0.2558144E-03 iter. number =   900 denomin. =        0.7150529E+00

  global error =        0.1509684E-03 iter. number =  1000 denomin. =        0.7033470E+00

  convergence  for freq. #   160 achieved in  1093 inner iterations 
 relative error value =       0.99925090E-04


  frequency number   159 frequency :       0.11887500E+01
 jw  real sour, imag sour =    159      0.78279E-01      0.80505E-01

  global error =        0.3390308E-02 iter. number =   100 denomin. =        0.7097305E+00

  global error =        0.2487125E-02 iter. number =   200 denomin. =        0.6961283E+00

  global error =        0.1911974E-02 iter. number =   300 denomin. =        0.6736174E+00

  global error =        0.1218765E-02 iter. number =   400 denomin. =        0.6502753E+00

  global error =        0.6860081E-03 iter. number =   500 denomin. =        0.6450980E+00

  global error =        0.4174204E-03 iter. number =   600 denomin. =        0.6525965E+00

  global error =        0.3128614E-03 iter. number =   700 denomin. =        0.6669722E+00

  global error =        0.2227350E-03 iter. number =   800 denomin. =        0.6784122E+00

  global error =        0.1316258E-03 iter. number =   900 denomin. =        0.6827022E+00

  convergence  for freq. #   159 achieved in   981 inner iterations 
 relative error value =       0.99823943E-04


  frequency number   158 frequency :       0.11812500E+01
 jw  real sour, imag sour =    158      0.74025E-01      0.90200E-01

  global error =        0.3194952E-02 iter. number =   100 denomin. =        0.7063761E+00

  global error =        0.2578154E-02 iter. number =   200 denomin. =        0.7199622E+00

  global error =        0.2052077E-02 iter. number =   300 denomin. =        0.7423878E+00

  global error =        0.1552887E-02 iter. number =   400 denomin. =        0.7640692E+00

  global error =        0.1078184E-02 iter. number =   500 denomin. =        0.7748474E+00

  global error =        0.6274754E-03 iter. number =   600 denomin. =        0.7722045E+00

  global error =        0.2794308E-03 iter. number =   700 denomin. =        0.7618710E+00

  global error =        0.2209161E-03 iter. number =   800 denomin. =        0.7476191E+00

  global error =        0.1850569E-03 iter. number =   900 denomin. =        0.7350294E+00

  global error =        0.1334979E-03 iter. number =  1000 denomin. =        0.7260988E+00

  convergence  for freq. #   158 achieved in  1074 inner iterations 
 relative error value =       0.99969911E-04


  frequency number   157 frequency :       0.11737500E+01
 jw  real sour, imag sour =    157      0.68752E-01      0.99835E-01

  global error =        0.3174440E-02 iter. number =   100 denomin. =        0.7456006E+00

  global error =        0.2362132E-02 iter. number =   200 denomin. =        0.7382264E+00

  global error =        0.1781895E-02 iter. number =   300 denomin. =        0.7366034E+00

  global error =        0.1210619E-02 iter. number =   400 denomin. =        0.7446077E+00

  global error =        0.7482560E-03 iter. number =   500 denomin. =        0.7624224E+00

  global error =        0.4829639E-03 iter. number =   600 denomin. =        0.7867783E+00

  global error =        0.2620084E-03 iter. number =   700 denomin. =        0.8097496E+00

  global error =        0.2156022E-03 iter. number =   800 denomin. =        0.8292930E+00

  global error =        0.1661562E-03 iter. number =   900 denomin. =        0.8431788E+00

  global error =        0.1170067E-03 iter. number =  1000 denomin. =        0.8523308E+00

  convergence  for freq. #   157 achieved in  1047 inner iterations 
 relative error value =       0.99840049E-04


  frequency number   156 frequency :       0.11662500E+01
 jw  real sour, imag sour =    156      0.62432E-01      0.10931E+00

  global error =        0.3595033E-02 iter. number =   100 denomin. =        0.8967558E+00

  global error =        0.2938518E-02 iter. number =   200 denomin. =        0.8949162E+00

  global error =        0.2420495E-02 iter. number =   300 denomin. =        0.8790505E+00

  global error =        0.1879973E-02 iter. number =   400 denomin. =        0.8548249E+00

  global error =        0.1243300E-02 iter. number =   500 denomin. =        0.8232443E+00

  global error =        0.7747021E-03 iter. number =   600 denomin. =        0.7892018E+00

  global error =        0.4978676E-03 iter. number =   700 denomin. =        0.7558004E+00

  global error =        0.3822281E-03 iter. number =   800 denomin. =        0.7346304E+00

  global error =        0.2852770E-03 iter. number =   900 denomin. =        0.7265673E+00

  global error =        0.1841734E-03 iter. number =  1000 denomin. =        0.7268311E+00

  global error =        0.1249949E-03 iter. number =  1100 denomin. =        0.7308841E+00

  convergence  for freq. #   156 achieved in  1181 inner iterations 
 relative error value =       0.99917084E-04


  frequency number   155 frequency :       0.11587500E+01
 jw  real sour, imag sour =    155      0.55047E-01      0.11853E+00

  global error =        0.3104775E-02 iter. number =   100 denomin. =        0.7744335E+00

  global error =        0.2225411E-02 iter. number =   200 denomin. =        0.7986054E+00

  global error =        0.1641465E-02 iter. number =   300 denomin. =        0.8351316E+00

  global error =        0.1211685E-02 iter. number =   400 denomin. =        0.8857236E+00

  global error =        0.7626864E-03 iter. number =   500 denomin. =        0.9391649E+00

  global error =        0.5643015E-03 iter. number =   600 denomin. =        0.9888093E+00

  global error =        0.3485600E-03 iter. number =   700 denomin. =        0.1027760E+01

  global error =        0.2423123E-03 iter. number =   800 denomin. =        0.1055429E+01

  global error =        0.1706004E-03 iter. number =   900 denomin. =        0.1074348E+01

  global error =        0.1150146E-03 iter. number =  1000 denomin. =        0.1087552E+01

  convergence  for freq. #   155 achieved in  1072 inner iterations 
 relative error value =       0.99878847E-04


  frequency number   154 frequency :       0.11512500E+01
 jw  real sour, imag sour =    154      0.46587E-01      0.12738E+00

  global error =        0.3984068E-02 iter. number =   100 denomin. =        0.1136432E+01

  global error =        0.3199093E-02 iter. number =   200 denomin. =        0.1129915E+01

  global error =        0.2758732E-02 iter. number =   300 denomin. =        0.1113587E+01

  global error =        0.2212015E-02 iter. number =   400 denomin. =        0.1070733E+01

  global error =        0.1526183E-02 iter. number =   500 denomin. =        0.1010587E+01

  global error =        0.9437326E-03 iter. number =   600 denomin. =        0.9498586E+00

  global error =        0.5905797E-03 iter. number =   700 denomin. =        0.9083844E+00

  global error =        0.4903958E-03 iter. number =   800 denomin. =        0.8849856E+00

  global error =        0.3719322E-03 iter. number =   900 denomin. =        0.8803794E+00

  global error =        0.2535708E-03 iter. number =  1000 denomin. =        0.8875884E+00

  global error =        0.1686710E-03 iter. number =  1100 denomin. =        0.8970006E+00

  global error =        0.1244160E-03 iter. number =  1200 denomin. =        0.9033344E+00

  global error =        0.1025809E-03 iter. number =  1300 denomin. =        0.9059651E+00

  convergence  for freq. #   154 achieved in  1313 inner iterations 
 relative error value =       0.99970034E-04


  frequency number   153 frequency :       0.11437500E+01
 jw  real sour, imag sour =    153      0.37055E-01      0.13575E+00

  global error =        0.3257319E-02 iter. number =   100 denomin. =        0.9396759E+00

  global error =        0.2404192E-02 iter. number =   200 denomin. =        0.9587770E+00

  global error =        0.1840955E-02 iter. number =   300 denomin. =        0.9819933E+00

  global error =        0.1262210E-02 iter. number =   400 denomin. =        0.1014594E+01

  global error =        0.8334252E-03 iter. number =   500 denomin. =        0.1051600E+01

  global error =        0.5554573E-03 iter. number =   600 denomin. =        0.1079029E+01

  global error =        0.3054167E-03 iter. number =   700 denomin. =        0.1096229E+01

  global error =        0.2190182E-03 iter. number =   800 denomin. =        0.1104758E+01

  global error =        0.1520508E-03 iter. number =   900 denomin. =        0.1109018E+01

  global error =        0.1088146E-03 iter. number =  1000 denomin. =        0.1111588E+01

  convergence  for freq. #   153 achieved in  1028 inner iterations 
 relative error value =       0.99959597E-04


  frequency number   152 frequency :       0.11362500E+01
 jw  real sour, imag sour =    152      0.26462E-01      0.14353E+00

  global error =        0.3643240E-02 iter. number =   100 denomin. =        0.1150438E+01

  global error =        0.2843057E-02 iter. number =   200 denomin. =        0.1134561E+01

  global error =        0.2290369E-02 iter. number =   300 denomin. =        0.1108318E+01

  global error =        0.1695418E-02 iter. number =   400 denomin. =        0.1072121E+01

  global error =        0.1133559E-02 iter. number =   500 denomin. =        0.1038490E+01

  global error =        0.6629786E-03 iter. number =   600 denomin. =        0.1017333E+01

  global error =        0.3741858E-03 iter. number =   700 denomin. =        0.1012060E+01

  global error =        0.2954680E-03 iter. number =   800 denomin. =        0.1016818E+01

  global error =        0.2187564E-03 iter. number =   900 denomin. =        0.1025644E+01

  global error =        0.1533938E-03 iter. number =  1000 denomin. =        0.1031270E+01

  global error =        0.1026042E-03 iter. number =  1100 denomin. =        0.1031610E+01

  convergence  for freq. #   152 achieved in  1107 inner iterations 
 relative error value =       0.99666901E-04


  frequency number   151 frequency :       0.11287500E+01
 jw  real sour, imag sour =    151      0.14831E-01      0.15059E+00

  global error =        0.3222653E-02 iter. number =   100 denomin. =        0.1080169E+01

  global error =        0.2520160E-02 iter. number =   200 denomin. =        0.1101445E+01

  global error =        0.1992782E-02 iter. number =   300 denomin. =        0.1141170E+01

  global error =        0.1497205E-02 iter. number =   400 denomin. =        0.1186399E+01

  global error =        0.9506221E-03 iter. number =   500 denomin. =        0.1219861E+01

  global error =        0.5933813E-03 iter. number =   600 denomin. =        0.1235372E+01

  global error =        0.3066223E-03 iter. number =   700 denomin. =        0.1232654E+01

  global error =        0.2411268E-03 iter. number =   800 denomin. =        0.1223689E+01

  global error =        0.1913167E-03 iter. number =   900 denomin. =        0.1216041E+01

  global error =        0.1290049E-03 iter. number =  1000 denomin. =        0.1209626E+01

  convergence  for freq. #   151 achieved in  1080 inner iterations 
 relative error value =       0.99726628E-04


  frequency number   150 frequency :       0.11212500E+01
 jw  real sour, imag sour =    150      0.21990E-02      0.15682E+00

  global error =        0.3466676E-02 iter. number =   100 denomin. =        0.1248481E+01

  global error =        0.2631003E-02 iter. number =   200 denomin. =        0.1214750E+01

  global error =        0.2022629E-02 iter. number =   300 denomin. =        0.1169212E+01

  global error =        0.1383601E-02 iter. number =   400 denomin. =        0.1135390E+01

  global error =        0.7989211E-03 iter. number =   500 denomin. =        0.1121690E+01

  global error =        0.5239526E-03 iter. number =   600 denomin. =        0.1131956E+01

  global error =        0.4075236E-03 iter. number =   700 denomin. =        0.1157975E+01

  global error =        0.2895682E-03 iter. number =   800 denomin. =        0.1182553E+01

  global error =        0.1805192E-03 iter. number =   900 denomin. =        0.1195145E+01

  global error =        0.1188638E-03 iter. number =  1000 denomin. =        0.1196081E+01

  global error =        0.1005490E-03 iter. number =  1100 denomin. =        0.1190871E+01

  convergence  for freq. #   150 achieved in  1105 inner iterations 
 relative error value =       0.99981609E-04


  frequency number   149 frequency :       0.11137500E+01
 jw  real sour, imag sour =    149     -0.11387E-01      0.16210E+00

  global error =        0.3336092E-02 iter. number =   100 denomin. =        0.1246917E+01

  global error =        0.2587096E-02 iter. number =   200 denomin. =        0.1297689E+01

  global error =        0.2080445E-02 iter. number =   300 denomin. =        0.1365395E+01

  global error =        0.1613366E-02 iter. number =   400 denomin. =        0.1434775E+01

  global error =        0.1107180E-02 iter. number =   500 denomin. =        0.1484761E+01

  global error =        0.7017905E-03 iter. number =   600 denomin. =        0.1506100E+01

  global error =        0.3763806E-03 iter. number =   700 denomin. =        0.1502022E+01

  global error =        0.2998244E-03 iter. number =   800 denomin. =        0.1482962E+01

  global error =        0.2369262E-03 iter. number =   900 denomin. =        0.1459779E+01

  global error =        0.1752967E-03 iter. number =  1000 denomin. =        0.1439363E+01

  global error =        0.1266765E-03 iter. number =  1100 denomin. =        0.1424778E+01

  convergence  for freq. #   149 achieved in  1178 inner iterations 
 relative error value =       0.99806550E-04


  frequency number   148 frequency :       0.11062500E+01
 jw  real sour, imag sour =    148     -0.25865E-01      0.16632E+00

  global error =        0.3602447E-02 iter. number =   100 denomin. =        0.1455744E+01

  global error =        0.2687327E-02 iter. number =   200 denomin. =        0.1422889E+01

  global error =        0.2109290E-02 iter. number =   300 denomin. =        0.1396869E+01

  global error =        0.1451391E-02 iter. number =   400 denomin. =        0.1380776E+01

  global error =        0.8551267E-03 iter. number =   500 denomin. =        0.1397387E+01

  global error =        0.5578482E-03 iter. number =   600 denomin. =        0.1442079E+01

  global error =        0.3836822E-03 iter. number =   700 denomin. =        0.1495722E+01

  global error =        0.3012235E-03 iter. number =   800 denomin. =        0.1541167E+01

  global error =        0.2097834E-03 iter. number =   900 denomin. =        0.1570321E+01

  global error =        0.1379077E-03 iter. number =  1000 denomin. =        0.1583975E+01

  global error =        0.1021235E-03 iter. number =  1100 denomin. =        0.1588773E+01

  convergence  for freq. #   148 achieved in  1108 inner iterations 
 relative error value =       0.99776051E-04


  frequency number   147 frequency :       0.10987500E+01
 jw  real sour, imag sour =    147     -0.41162E-01      0.16935E+00

  global error =        0.3720076E-02 iter. number =   100 denomin. =        0.1673657E+01

  global error =        0.2956943E-02 iter. number =   200 denomin. =        0.1714516E+01

  global error =        0.2454867E-02 iter. number =   300 denomin. =        0.1750030E+01

  global error =        0.1931398E-02 iter. number =   400 denomin. =        0.1774778E+01

  global error =        0.1366625E-02 iter. number =   500 denomin. =        0.1767764E+01

  global error =        0.8768046E-03 iter. number =   600 denomin. =        0.1718789E+01

  global error =        0.4808287E-03 iter. number =   700 denomin. =        0.1647544E+01

  global error =        0.3825689E-03 iter. number =   800 denomin. =        0.1582679E+01

  global error =        0.2961638E-03 iter. number =   900 denomin. =        0.1537477E+01

  global error =        0.2164548E-03 iter. number =  1000 denomin. =        0.1513682E+01

  global error =        0.1503532E-03 iter. number =  1100 denomin. =        0.1506680E+01

  global error =        0.1106190E-03 iter. number =  1200 denomin. =        0.1509955E+01

  convergence  for freq. #   147 achieved in  1265 inner iterations 
 relative error value =       0.99871618E-04


  frequency number   146 frequency :       0.10912500E+01
 jw  real sour, imag sour =    146     -0.57190E-01      0.17110E+00

  global error =        0.3304136E-02 iter. number =   100 denomin. =        0.1582072E+01

  global error =        0.2320556E-02 iter. number =   200 denomin. =        0.1588967E+01

  global error =        0.1740733E-02 iter. number =   300 denomin. =        0.1601622E+01

  global error =        0.1211096E-02 iter. number =   400 denomin. =        0.1629897E+01

  global error =        0.7018769E-03 iter. number =   500 denomin. =        0.1684177E+01

  global error =        0.4988011E-03 iter. number =   600 denomin. =        0.1745885E+01

  global error =        0.3039941E-03 iter. number =   700 denomin. =        0.1800041E+01

  global error =        0.2199133E-03 iter. number =   800 denomin. =        0.1838523E+01

  global error =        0.1616016E-03 iter. number =   900 denomin. =        0.1862027E+01

  global error =        0.1106781E-03 iter. number =  1000 denomin. =        0.1877150E+01

  convergence  for freq. #   146 achieved in  1057 inner iterations 
 relative error value =       0.99840652E-04


  frequency number   145 frequency :       0.10837500E+01
 jw  real sour, imag sour =    145     -0.73850E-01      0.17145E+00

  global error =        0.3744318E-02 iter. number =   100 denomin. =        0.1977107E+01

  global error =        0.3039610E-02 iter. number =   200 denomin. =        0.2008176E+01

  global error =        0.2531230E-02 iter. number =   300 denomin. =        0.2036326E+01

  global error =        0.1988093E-02 iter. number =   400 denomin. =        0.2034909E+01

  global error =        0.1385527E-02 iter. number =   500 denomin. =        0.1995793E+01

  global error =        0.8632602E-03 iter. number =   600 denomin. =        0.1925344E+01

  global error =        0.4654725E-03 iter. number =   700 denomin. =        0.1845574E+01

  global error =        0.3809567E-03 iter. number =   800 denomin. =        0.1775667E+01

  global error =        0.2902532E-03 iter. number =   900 denomin. =        0.1734128E+01

  global error =        0.2021108E-03 iter. number =  1000 denomin. =        0.1718110E+01

  global error =        0.1322752E-03 iter. number =  1100 denomin. =        0.1717386E+01

  convergence  for freq. #   145 achieved in  1169 inner iterations 
 relative error value =       0.99814315E-04


  frequency number   144 frequency :       0.10762500E+01
 jw  real sour, imag sour =    144     -0.91028E-01      0.17030E+00

  global error =        0.3227539E-02 iter. number =   100 denomin. =        0.1820205E+01

  global error =        0.2386206E-02 iter. number =   200 denomin. =        0.1853984E+01

  global error =        0.1837514E-02 iter. number =   300 denomin. =        0.1903871E+01

  global error =        0.1283648E-02 iter. number =   400 denomin. =        0.1973691E+01

  global error =        0.8187162E-03 iter. number =   500 denomin. =        0.2052922E+01

  global error =        0.5204862E-03 iter. number =   600 denomin. =        0.2125481E+01

  global error =        0.2682556E-03 iter. number =   700 denomin. =        0.2176924E+01

  global error =        0.2082005E-03 iter. number =   800 denomin. =        0.2213293E+01

  global error =        0.1676777E-03 iter. number =   900 denomin. =        0.2237814E+01

  global error =        0.1256246E-03 iter. number =  1000 denomin. =        0.2254770E+01

  convergence  for freq. #   144 achieved in  1081 inner iterations 
 relative error value =       0.99905479E-04


  frequency number   143 frequency :       0.10687500E+01
 jw  real sour, imag sour =    143     -0.10860E+00      0.16757E+00

  global error =        0.3757723E-02 iter. number =   100 denomin. =        0.2369298E+01

  global error =        0.3021228E-02 iter. number =   200 denomin. =        0.2353918E+01

  global error =        0.2468270E-02 iter. number =   300 denomin. =        0.2304272E+01

  global error =        0.1860803E-02 iter. number =   400 denomin. =        0.2232753E+01

  global error =        0.1221048E-02 iter. number =   500 denomin. =        0.2161167E+01

  global error =        0.7130130E-03 iter. number =   600 denomin. =        0.2105597E+01

  global error =        0.4671454E-03 iter. number =   700 denomin. =        0.2071054E+01

  global error =        0.3749033E-03 iter. number =   800 denomin. =        0.2063961E+01

  global error =        0.2755439E-03 iter. number =   900 denomin. =        0.2075318E+01

  global error =        0.1801521E-03 iter. number =  1000 denomin. =        0.2088199E+01

  global error =        0.1173552E-03 iter. number =  1100 denomin. =        0.2093546E+01

  convergence  for freq. #   143 achieved in  1162 inner iterations 
 relative error value =       0.99893148E-04


  frequency number   142 frequency :       0.10612500E+01
 jw  real sour, imag sour =    142     -0.12642E+00      0.16317E+00

  global error =        0.3423475E-02 iter. number =   100 denomin. =        0.2222271E+01

  global error =        0.2631431E-02 iter. number =   200 denomin. =        0.2307669E+01

  global error =        0.2042107E-02 iter. number =   300 denomin. =        0.2440023E+01

  global error =        0.1509958E-02 iter. number =   400 denomin. =        0.2596256E+01

  global error =        0.9610191E-03 iter. number =   500 denomin. =        0.2736968E+01

  global error =        0.6406867E-03 iter. number =   600 denomin. =        0.2831501E+01

  global error =        0.3715129E-03 iter. number =   700 denomin. =        0.2877749E+01

  global error =        0.2858595E-03 iter. number =   800 denomin. =        0.2890496E+01

  global error =        0.2200565E-03 iter. number =   900 denomin. =        0.2890418E+01

  global error =        0.1460997E-03 iter. number =  1000 denomin. =        0.2883848E+01

  global error =        0.1088958E-03 iter. number =  1100 denomin. =        0.2874223E+01

  convergence  for freq. #   142 achieved in  1127 inner iterations 
 relative error value =       0.99975729E-04


  frequency number   141 frequency :       0.10537500E+01
 jw  real sour, imag sour =    141     -0.14436E+00      0.15704E+00

  global error =        0.3984107E-02 iter. number =   100 denomin. =        0.2969565E+01

  global error =        0.3070699E-02 iter. number =   200 denomin. =        0.2870263E+01

  global error =        0.2483431E-02 iter. number =   300 denomin. =        0.2733692E+01

  global error =        0.1831248E-02 iter. number =   400 denomin. =        0.2578225E+01

  global error =        0.1113048E-02 iter. number =   500 denomin. =        0.2476510E+01

  global error =        0.7215300E-03 iter. number =   600 denomin. =        0.2446290E+01

  global error =        0.5478267E-03 iter. number =   700 denomin. =        0.2494796E+01

  global error =        0.4003007E-03 iter. number =   800 denomin. =        0.2560376E+01

  global error =        0.2556264E-03 iter. number =   900 denomin. =        0.2603943E+01

  global error =        0.1612553E-03 iter. number =  1000 denomin. =        0.2610721E+01

  global error =        0.1268779E-03 iter. number =  1100 denomin. =        0.2595215E+01

  global error =        0.1055319E-03 iter. number =  1200 denomin. =        0.2576268E+01

  convergence  for freq. #   141 achieved in  1224 inner iterations 
 relative error value =       0.99993645E-04


  frequency number   140 frequency :       0.10462500E+01
 jw  real sour, imag sour =    140     -0.16223E+00      0.14913E+00

  global error =        0.3353804E-02 iter. number =   100 denomin. =        0.2698437E+01

  global error =        0.2536033E-02 iter. number =   200 denomin. =        0.2807131E+01

  global error =        0.1973654E-02 iter. number =   300 denomin. =        0.2955136E+01

  global error =        0.1512530E-02 iter. number =   400 denomin. =        0.3124268E+01

  global error =        0.1065540E-02 iter. number =   500 denomin. =        0.3276874E+01

  global error =        0.7131469E-03 iter. number =   600 denomin. =        0.3365978E+01

  global error =        0.3844851E-03 iter. number =   700 denomin. =        0.3407959E+01

  global error =        0.2595997E-03 iter. number =   800 denomin. =        0.3419825E+01

  global error =        0.1935967E-03 iter. number =   900 denomin. =        0.3413707E+01

  global error =        0.1393411E-03 iter. number =  1000 denomin. =        0.3402749E+01

  global error =        0.1012695E-03 iter. number =  1100 denomin. =        0.3392283E+01

  convergence  for freq. #   140 achieved in  1104 inner iterations 
 relative error value =       0.99850415E-04


  frequency number   139 frequency :       0.10387500E+01
 jw  real sour, imag sour =    139     -0.17989E+00      0.13937E+00

  global error =        0.3853577E-02 iter. number =   100 denomin. =        0.3499028E+01

  global error =        0.2944990E-02 iter. number =   200 denomin. =        0.3440190E+01

  global error =        0.2344581E-02 iter. number =   300 denomin. =        0.3353328E+01

  global error =        0.1679333E-02 iter. number =   400 denomin. =        0.3261427E+01

  global error =        0.1102321E-02 iter. number =   500 denomin. =        0.3221609E+01

  global error =        0.6613180E-03 iter. number =   600 denomin. =        0.3254121E+01

  global error =        0.3323057E-03 iter. number =   700 denomin. =        0.3331208E+01

  global error =        0.2598761E-03 iter. number =   800 denomin. =        0.3411851E+01

  global error =        0.2043612E-03 iter. number =   900 denomin. =        0.3475750E+01

  global error =        0.1512542E-03 iter. number =  1000 denomin. =        0.3511900E+01

  global error =        0.1029277E-03 iter. number =  1100 denomin. =        0.3523976E+01

  convergence  for freq. #   139 achieved in  1108 inner iterations 
 relative error value =       0.99639536E-04


  frequency number   138 frequency :       0.10312500E+01
 jw  real sour, imag sour =    138     -0.19715E+00      0.12777E+00

  global error =        0.3751226E-02 iter. number =   100 denomin. =        0.3719916E+01

  global error =        0.3007298E-02 iter. number =   200 denomin. =        0.3801405E+01

  global error =        0.2473800E-02 iter. number =   300 denomin. =        0.3894918E+01

  global error =        0.1928217E-02 iter. number =   400 denomin. =        0.3956206E+01

  global error =        0.1369663E-02 iter. number =   500 denomin. =        0.3958217E+01

  global error =        0.8616147E-03 iter. number =   600 denomin. =        0.3891434E+01

  global error =        0.4643003E-03 iter. number =   700 denomin. =        0.3738573E+01

  global error =        0.3691455E-03 iter. number =   800 denomin. =        0.3579526E+01

  global error =        0.2867602E-03 iter. number =   900 denomin. =        0.3466353E+01

  global error =        0.1969860E-03 iter. number =  1000 denomin. =        0.3402483E+01

  global error =        0.1256672E-03 iter. number =  1100 denomin. =        0.3380680E+01

  convergence  for freq. #   138 achieved in  1149 inner iterations 
 relative error value =       0.99783930E-04


  frequency number   137 frequency :       0.10237500E+01
 jw  real sour, imag sour =    137     -0.21382E+00      0.11429E+00

  global error =        0.3452738E-02 iter. number =   100 denomin. =        0.3583681E+01

  global error =        0.2471338E-02 iter. number =   200 denomin. =        0.3632134E+01

  global error =        0.1826321E-02 iter. number =   300 denomin. =        0.3723294E+01

  global error =        0.1315666E-02 iter. number =   400 denomin. =        0.3907418E+01

  global error =        0.7492361E-03 iter. number =   500 denomin. =        0.4131452E+01

  global error =        0.5175675E-03 iter. number =   600 denomin. =        0.4367342E+01

  global error =        0.3324862E-03 iter. number =   700 denomin. =        0.4571010E+01

  global error =        0.2489547E-03 iter. number =   800 denomin. =        0.4730483E+01

  global error =        0.1987807E-03 iter. number =   900 denomin. =        0.4848295E+01

  global error =        0.1265140E-03 iter. number =  1000 denomin. =        0.4931422E+01

  convergence  for freq. #   137 achieved in  1073 inner iterations 
 relative error value =       0.99774309E-04


  frequency number   136 frequency :       0.10162500E+01
 jw  real sour, imag sour =    136     -0.22972E+00      0.98949E-01

  global error =        0.4194403E-02 iter. number =   100 denomin. =        0.5249610E+01

  global error =        0.3388685E-02 iter. number =   200 denomin. =        0.5349840E+01

  global error =        0.2899000E-02 iter. number =   300 denomin. =        0.5404354E+01

  global error =        0.2334518E-02 iter. number =   400 denomin. =        0.5335644E+01

  global error =        0.1565540E-02 iter. number =   500 denomin. =        0.5124766E+01

  global error =        0.1033603E-02 iter. number =   600 denomin. =        0.4761475E+01

  global error =        0.7115123E-03 iter. number =   700 denomin. =        0.4387652E+01

  global error =        0.6085360E-03 iter. number =   800 denomin. =        0.4086771E+01

  global error =        0.4538716E-03 iter. number =   900 denomin. =        0.3917055E+01

  global error =        0.2976680E-03 iter. number =  1000 denomin. =        0.3868006E+01

  global error =        0.2115664E-03 iter. number =  1100 denomin. =        0.3891815E+01

  global error =        0.1560315E-03 iter. number =  1200 denomin. =        0.3939778E+01

  global error =        0.1220646E-03 iter. number =  1300 denomin. =        0.3985909E+01

  convergence  for freq. #   136 achieved in  1367 inner iterations 
 relative error value =       0.99900058E-04


  frequency number   135 frequency :       0.10087500E+01
 jw  real sour, imag sour =    135     -0.24465E+00      0.81773E-01

  global error =        0.3451818E-02 iter. number =   100 denomin. =        0.4237706E+01

  global error =        0.2491528E-02 iter. number =   200 denomin. =        0.4326669E+01

  global error =        0.1813877E-02 iter. number =   300 denomin. =        0.4461149E+01

  global error =        0.1190670E-02 iter. number =   400 denomin. =        0.4630854E+01

  global error =        0.7708223E-03 iter. number =   500 denomin. =        0.4885771E+01

  global error =        0.5416954E-03 iter. number =   600 denomin. =        0.5125182E+01

  global error =        0.3878803E-03 iter. number =   700 denomin. =        0.5316350E+01

  global error =        0.2243628E-03 iter. number =   800 denomin. =        0.5431923E+01

  global error =        0.1340506E-03 iter. number =   900 denomin. =        0.5488501E+01

  convergence  for freq. #   135 achieved in   988 inner iterations 
 relative error value =       0.99965673E-04


  frequency number   134 frequency :       0.10012500E+01
 jw  real sour, imag sour =    134     -0.25842E+00      0.62807E-01

  global error =        0.3783685E-02 iter. number =   100 denomin. =        0.5787557E+01

  global error =        0.3108218E-02 iter. number =   200 denomin. =        0.5915604E+01

  global error =        0.2510595E-02 iter. number =   300 denomin. =        0.6012572E+01

  global error =        0.1902433E-02 iter. number =   400 denomin. =        0.6035564E+01

  global error =        0.1288554E-02 iter. number =   500 denomin. =        0.5965278E+01

  global error =        0.7594731E-03 iter. number =   600 denomin. =        0.5841086E+01

  global error =        0.3606107E-03 iter. number =   700 denomin. =        0.5719679E+01

  global error =        0.2784450E-03 iter. number =   800 denomin. =        0.5642412E+01

  global error =        0.2318484E-03 iter. number =   900 denomin. =        0.5612595E+01

  global error =        0.1682606E-03 iter. number =  1000 denomin. =        0.5617961E+01

  global error =        0.1102766E-03 iter. number =  1100 denomin. =        0.5636565E+01

  convergence  for freq. #   134 achieved in  1120 inner iterations 
 relative error value =       0.99752956E-04


  frequency number   133 frequency :       0.99375000E+00
 jw  real sour, imag sour =    133     -0.27083E+00      0.42116E-01

  global error =        0.3538290E-02 iter. number =   100 denomin. =        0.5947785E+01

  global error =        0.2813578E-02 iter. number =   200 denomin. =        0.6083009E+01

  global error =        0.2188138E-02 iter. number =   300 denomin. =        0.6261210E+01

  global error =        0.1566029E-02 iter. number =   400 denomin. =        0.6491120E+01

  global error =        0.1017602E-02 iter. number =   500 denomin. =        0.6695881E+01

  global error =        0.6199172E-03 iter. number =   600 denomin. =        0.6825397E+01

  global error =        0.3107293E-03 iter. number =   700 denomin. =        0.6848658E+01

  global error =        0.2242811E-03 iter. number =   800 denomin. =        0.6822672E+01

  global error =        0.1664220E-03 iter. number =   900 denomin. =        0.6796286E+01

  global error =        0.1106509E-03 iter. number =  1000 denomin. =        0.6778762E+01

  convergence  for freq. #   133 achieved in  1024 inner iterations 
 relative error value =       0.99777473E-04


  frequency number   132 frequency :       0.98625000E+00
 jw  real sour, imag sour =    132     -0.28168E+00      0.19785E-01

  global error =        0.3846083E-02 iter. number =   100 denomin. =        0.7083842E+01

  global error =        0.2928862E-02 iter. number =   200 denomin. =        0.6927382E+01

  global error =        0.2204165E-02 iter. number =   300 denomin. =        0.6700853E+01

  global error =        0.1543090E-02 iter. number =   400 denomin. =        0.6539960E+01

  global error =        0.8859994E-03 iter. number =   500 denomin. =        0.6513404E+01

  global error =        0.5405592E-03 iter. number =   600 denomin. =        0.6630253E+01

  global error =        0.3362519E-03 iter. number =   700 denomin. =        0.6793939E+01

  global error =        0.2295107E-03 iter. number =   800 denomin. =        0.6903784E+01

  global error =        0.1670537E-03 iter. number =   900 denomin. =        0.6945994E+01

  global error =        0.1191178E-03 iter. number =  1000 denomin. =        0.6930107E+01

  convergence  for freq. #   132 achieved in  1087 inner iterations 
 relative error value =       0.99952510E-04


  frequency number   131 frequency :       0.97875000E+00
 jw  real sour, imag sour =    131     -0.29080E+00     -0.40793E-02

  global error =        0.3891395E-02 iter. number =   100 denomin. =        0.7269221E+01

  global error =        0.3023312E-02 iter. number =   200 denomin. =        0.7625187E+01

  global error =        0.2463487E-02 iter. number =   300 denomin. =        0.8143108E+01

  global error =        0.1975318E-02 iter. number =   400 denomin. =        0.8755292E+01

  global error =        0.1301811E-02 iter. number =   500 denomin. =        0.9249557E+01

  global error =        0.8269092E-03 iter. number =   600 denomin. =        0.9498940E+01

  global error =        0.4526664E-03 iter. number =   700 denomin. =        0.9563495E+01

  global error =        0.3709061E-03 iter. number =   800 denomin. =        0.9536091E+01

  global error =        0.2853947E-03 iter. number =   900 denomin. =        0.9470597E+01

  global error =        0.1838690E-03 iter. number =  1000 denomin. =        0.9392860E+01

  global error =        0.1291987E-03 iter. number =  1100 denomin. =        0.9319121E+01

  convergence  for freq. #   131 achieved in  1170 inner iterations 
 relative error value =       0.99953322E-04


  frequency number   130 frequency :       0.97125000E+00
 jw  real sour, imag sour =    130     -0.29798E+00     -0.29349E-01

  global error =        0.4288003E-02 iter. number =   100 denomin. =        0.9401800E+01

  global error =        0.3161348E-02 iter. number =   200 denomin. =        0.8897066E+01

  global error =        0.2582932E-02 iter. number =   300 denomin. =        0.8276563E+01

  global error =        0.1794345E-02 iter. number =   400 denomin. =        0.7664649E+01

  global error =        0.1063538E-02 iter. number =   500 denomin. =        0.7403705E+01

  global error =        0.6967968E-03 iter. number =   600 denomin. =        0.7440879E+01

  global error =        0.5059715E-03 iter. number =   700 denomin. =        0.7658956E+01

  global error =        0.3561778E-03 iter. number =   800 denomin. =        0.7915578E+01

  global error =        0.2261708E-03 iter. number =   900 denomin. =        0.8073039E+01

  global error =        0.1337877E-03 iter. number =  1000 denomin. =        0.8122029E+01

  convergence  for freq. #   130 achieved in  1097 inner iterations 
 relative error value =       0.99686510E-04


  frequency number   129 frequency :       0.96375000E+00
 jw  real sour, imag sour =    129     -0.30306E+00     -0.55876E-01

  global error =        0.3788422E-02 iter. number =   100 denomin. =        0.8531771E+01

  global error =        0.2920633E-02 iter. number =   200 denomin. =        0.9012095E+01

  global error =        0.2339824E-02 iter. number =   300 denomin. =        0.9597706E+01

  global error =        0.1821709E-02 iter. number =   400 denomin. =        0.1014519E+02

  global error =        0.1329030E-02 iter. number =   500 denomin. =        0.1052541E+02

  global error =        0.8559028E-03 iter. number =   600 denomin. =        0.1063499E+02

  global error =        0.4614949E-03 iter. number =   700 denomin. =        0.1052898E+02

  global error =        0.3471099E-03 iter. number =   800 denomin. =        0.1025863E+02

  global error =        0.2862446E-03 iter. number =   900 denomin. =        0.9965008E+01

  global error =        0.2129644E-03 iter. number =  1000 denomin. =        0.9715913E+01

  global error =        0.1530690E-03 iter. number =  1100 denomin. =        0.9540346E+01

  global error =        0.1070363E-03 iter. number =  1200 denomin. =        0.9434483E+01

  convergence  for freq. #   129 achieved in  1222 inner iterations 
 relative error value =       0.99932544E-04


  frequency number   128 frequency :       0.95625000E+00
 jw  real sour, imag sour =    128     -0.30587E+00     -0.83491E-01

  global error =        0.3744481E-02 iter. number =   100 denomin. =        0.9834681E+01

  global error =        0.2816205E-02 iter. number =   200 denomin. =        0.9976952E+01

  global error =        0.2178694E-02 iter. number =   300 denomin. =        0.1023940E+02

  global error =        0.1560864E-02 iter. number =   400 denomin. =        0.1058956E+02

  global error =        0.9907297E-03 iter. number =   500 denomin. =        0.1104994E+02

  global error =        0.6340626E-03 iter. number =   600 denomin. =        0.1153980E+02

  global error =        0.3500491E-03 iter. number =   700 denomin. =        0.1192868E+02

  global error =        0.2670187E-03 iter. number =   800 denomin. =        0.1218139E+02

  global error =        0.2112562E-03 iter. number =   900 denomin. =        0.1234575E+02

  global error =        0.1522303E-03 iter. number =  1000 denomin. =        0.1243307E+02

  global error =        0.1008419E-03 iter. number =  1100 denomin. =        0.1246957E+02

  convergence  for freq. #   128 achieved in  1102 inner iterations 
 relative error value =       0.99847255E-04


  frequency number   127 frequency :       0.94875000E+00
 jw  real sour, imag sour =    127     -0.30625E+00     -0.11201E+00

  global error =        0.4154783E-02 iter. number =   100 denomin. =        0.1305401E+02

  global error =        0.3337981E-02 iter. number =   200 denomin. =        0.1297726E+02

  global error =        0.2713780E-02 iter. number =   300 denomin. =        0.1275436E+02

  global error =        0.2083917E-02 iter. number =   400 denomin. =        0.1234581E+02

  global error =        0.1390899E-02 iter. number =   500 denomin. =        0.1188272E+02

  global error =        0.8526466E-03 iter. number =   600 denomin. =        0.1147869E+02

  global error =        0.5857022E-03 iter. number =   700 denomin. =        0.1119423E+02

  global error =        0.4460762E-03 iter. number =   800 denomin. =        0.1110824E+02

  global error =        0.3008315E-03 iter. number =   900 denomin. =        0.1119179E+02

  global error =        0.1972269E-03 iter. number =  1000 denomin. =        0.1130896E+02

  global error =        0.1474398E-03 iter. number =  1100 denomin. =        0.1138516E+02

  global error =        0.1181145E-03 iter. number =  1200 denomin. =        0.1141300E+02

  convergence  for freq. #   127 achieved in  1248 inner iterations 
 relative error value =       0.99992566E-04


  frequency number   126 frequency :       0.94125000E+00
 jw  real sour, imag sour =    126     -0.30408E+00     -0.14122E+00

  global error =        0.3638776E-02 iter. number =   100 denomin. =        0.1198068E+02

  global error =        0.2724848E-02 iter. number =   200 denomin. =        0.1233930E+02

  global error =        0.2049475E-02 iter. number =   300 denomin. =        0.1291941E+02

  global error =        0.1539777E-02 iter. number =   400 denomin. =        0.1374621E+02

  global error =        0.9973728E-03 iter. number =   500 denomin. =        0.1458956E+02

  global error =        0.6679527E-03 iter. number =   600 denomin. =        0.1528566E+02

  global error =        0.3637089E-03 iter. number =   700 denomin. =        0.1573809E+02

  global error =        0.2172792E-03 iter. number =   800 denomin. =        0.1599729E+02

  global error =        0.1540661E-03 iter. number =   900 denomin. =        0.1615606E+02

  convergence  for freq. #   126 achieved in   994 inner iterations 
 relative error value =       0.99824559E-04


  frequency number   125 frequency :       0.93375000E+00
 jw  real sour, imag sour =    125     -0.29922E+00     -0.17089E+00

  global error =        0.4339241E-02 iter. number =   100 denomin. =        0.1690452E+02

  global error =        0.3493797E-02 iter. number =   200 denomin. =        0.1678802E+02

  global error =        0.2894651E-02 iter. number =   300 denomin. =        0.1632443E+02

  global error =        0.2177406E-02 iter. number =   400 denomin. =        0.1553909E+02

  global error =        0.1380587E-02 iter. number =   500 denomin. =        0.1466270E+02

  global error =        0.7810071E-03 iter. number =   600 denomin. =        0.1393573E+02

  global error =        0.4551756E-03 iter. number =   700 denomin. =        0.1363453E+02

  global error =        0.3495287E-03 iter. number =   800 denomin. =        0.1357960E+02

  global error =        0.2378166E-03 iter. number =   900 denomin. =        0.1363220E+02

  global error =        0.1406809E-03 iter. number =  1000 denomin. =        0.1366708E+02

  global error =        0.1019096E-03 iter. number =  1100 denomin. =        0.1364096E+02

  convergence  for freq. #   125 achieved in  1108 inner iterations 
 relative error value =       0.99982624E-04


  frequency number   124 frequency :       0.92625000E+00
 jw  real sour, imag sour =    124     -0.29158E+00     -0.20080E+00

  global error =        0.3773620E-02 iter. number =   100 denomin. =        0.1413591E+02

  global error =        0.2781562E-02 iter. number =   200 denomin. =        0.1447004E+02

  global error =        0.2133728E-02 iter. number =   300 denomin. =        0.1511205E+02

  global error =        0.1528602E-02 iter. number =   400 denomin. =        0.1600103E+02

  global error =        0.1085738E-02 iter. number =   500 denomin. =        0.1692727E+02

  global error =        0.7120624E-03 iter. number =   600 denomin. =        0.1759850E+02

  global error =        0.3448405E-03 iter. number =   700 denomin. =        0.1805764E+02

  global error =        0.2510656E-03 iter. number =   800 denomin. =        0.1839919E+02

  global error =        0.1971118E-03 iter. number =   900 denomin. =        0.1864581E+02

  global error =        0.1525033E-03 iter. number =  1000 denomin. =        0.1881823E+02

  global error =        0.1070993E-03 iter. number =  1100 denomin. =        0.1893738E+02

  convergence  for freq. #   124 achieved in  1118 inner iterations 
 relative error value =       0.99880575E-04


  frequency number   123 frequency :       0.91875000E+00
 jw  real sour, imag sour =    123     -0.28108E+00     -0.23068E+00

  global error =        0.4267849E-02 iter. number =   100 denomin. =        0.1959964E+02

  global error =        0.3361370E-02 iter. number =   200 denomin. =        0.1911333E+02

  global error =        0.2737784E-02 iter. number =   300 denomin. =        0.1831637E+02

  global error =        0.2059821E-02 iter. number =   400 denomin. =        0.1751873E+02

  global error =        0.1312862E-02 iter. number =   500 denomin. =        0.1702428E+02

  global error =        0.8183038E-03 iter. number =   600 denomin. =        0.1693407E+02

  global error =        0.4598810E-03 iter. number =   700 denomin. =        0.1720655E+02

  global error =        0.3494957E-03 iter. number =   800 denomin. =        0.1762186E+02

  global error =        0.2706358E-03 iter. number =   900 denomin. =        0.1803741E+02

  global error =        0.1846334E-03 iter. number =  1000 denomin. =        0.1834064E+02

  global error =        0.1261678E-03 iter. number =  1100 denomin. =        0.1848191E+02

  convergence  for freq. #   123 achieved in  1147 inner iterations 
 relative error value =       0.99503501E-04


  frequency number   122 frequency :       0.91125000E+00
 jw  real sour, imag sour =    122     -0.26766E+00     -0.26026E+00

  global error =        0.4116768E-02 iter. number =   100 denomin. =        0.1959543E+02

  global error =        0.3197544E-02 iter. number =   200 denomin. =        0.2049914E+02

  global error =        0.2603683E-02 iter. number =   300 denomin. =        0.2153782E+02

  global error =        0.2035901E-02 iter. number =   400 denomin. =        0.2245070E+02

  global error =        0.1454566E-02 iter. number =   500 denomin. =        0.2294122E+02

  global error =        0.9901488E-03 iter. number =   600 denomin. =        0.2281064E+02

  global error =        0.5447092E-03 iter. number =   700 denomin. =        0.2210958E+02

  global error =        0.4483666E-03 iter. number =   800 denomin. =        0.2111973E+02

  global error =        0.3587499E-03 iter. number =   900 denomin. =        0.2019737E+02

  global error =        0.2778020E-03 iter. number =  1000 denomin. =        0.1949202E+02

  global error =        0.2001965E-03 iter. number =  1100 denomin. =        0.1902994E+02

  global error =        0.1302791E-03 iter. number =  1200 denomin. =        0.1878271E+02

  global error =        0.1009025E-03 iter. number =  1300 denomin. =        0.1867024E+02

  convergence  for freq. #   122 achieved in  1304 inner iterations 
 relative error value =       0.99765847E-04


  frequency number   121 frequency :       0.90375000E+00
 jw  real sour, imag sour =    121     -0.25129E+00     -0.28926E+00

  global error =        0.3915954E-02 iter. number =   100 denomin. =        0.1943023E+02

  global error =        0.2791017E-02 iter. number =   200 denomin. =        0.1966750E+02

  global error =        0.2115141E-02 iter. number =   300 denomin. =        0.2010203E+02

  global error =        0.1529410E-02 iter. number =   400 denomin. =        0.2074410E+02

  global error =        0.9643543E-03 iter. number =   500 denomin. =        0.2178045E+02

  global error =        0.6642664E-03 iter. number =   600 denomin. =        0.2307972E+02

  global error =        0.4402486E-03 iter. number =   700 denomin. =        0.2425818E+02

  global error =        0.3217188E-03 iter. number =   800 denomin. =        0.2513976E+02

  global error =        0.2343186E-03 iter. number =   900 denomin. =        0.2571871E+02

  global error =        0.1496263E-03 iter. number =  1000 denomin. =        0.2606939E+02

  convergence  for freq. #   121 achieved in  1091 inner iterations 
 relative error value =       0.99624365E-04


  frequency number   120 frequency :       0.89625000E+00
 jw  real sour, imag sour =    120     -0.23196E+00     -0.31739E+00

  global error =        0.4344194E-02 iter. number =   100 denomin. =        0.2751320E+02

  global error =        0.3522231E-02 iter. number =   200 denomin. =        0.2791139E+02

  global error =        0.2960785E-02 iter. number =   300 denomin. =        0.2815150E+02

  global error =        0.2359052E-02 iter. number =   400 denomin. =        0.2797826E+02

  global error =        0.1700291E-02 iter. number =   500 denomin. =        0.2720664E+02

  global error =        0.1104843E-02 iter. number =   600 denomin. =        0.2598607E+02

  global error =        0.6833708E-03 iter. number =   700 denomin. =        0.2458696E+02

  global error =        0.5576835E-03 iter. number =   800 denomin. =        0.2350048E+02

  global error =        0.4176964E-03 iter. number =   900 denomin. =        0.2304927E+02

  global error =        0.3031484E-03 iter. number =  1000 denomin. =        0.2308836E+02

  global error =        0.2126949E-03 iter. number =  1100 denomin. =        0.2336231E+02

  global error =        0.1549232E-03 iter. number =  1200 denomin. =        0.2366817E+02

  global error =        0.1131934E-03 iter. number =  1300 denomin. =        0.2386721E+02

  convergence  for freq. #   120 achieved in  1333 inner iterations 
 relative error value =       0.99819720E-04


  frequency number   119 frequency :       0.88875000E+00
 jw  real sour, imag sour =    119     -0.20971E+00     -0.34437E+00

  global error =        0.3838927E-02 iter. number =   100 denomin. =        0.2502282E+02

  global error =        0.2808665E-02 iter. number =   200 denomin. =        0.2555009E+02

  global error =        0.2160199E-02 iter. number =   300 denomin. =        0.2645400E+02

  global error =        0.1528738E-02 iter. number =   400 denomin. =        0.2780096E+02

  global error =        0.9887693E-03 iter. number =   500 denomin. =        0.2932063E+02

  global error =        0.6473617E-03 iter. number =   600 denomin. =        0.3068849E+02

  global error =        0.3571424E-03 iter. number =   700 denomin. =        0.3158027E+02

  global error =        0.2215708E-03 iter. number =   800 denomin. =        0.3206584E+02

  global error =        0.1499680E-03 iter. number =   900 denomin. =        0.3231562E+02

  convergence  for freq. #   119 achieved in   979 inner iterations 
 relative error value =       0.99886558E-04


  frequency number   118 frequency :       0.88125000E+00
 jw  real sour, imag sour =    118     -0.18457E+00     -0.36989E+00

  global error =        0.4353941E-02 iter. number =   100 denomin. =        0.3370122E+02

  global error =        0.3552126E-02 iter. number =   200 denomin. =        0.3367687E+02

  global error =        0.2922766E-02 iter. number =   300 denomin. =        0.3309634E+02

  global error =        0.2238443E-02 iter. number =   400 denomin. =        0.3183257E+02

  global error =        0.1413375E-02 iter. number =   500 denomin. =        0.3031970E+02

  global error =        0.8049789E-03 iter. number =   600 denomin. =        0.2877903E+02

  global error =        0.4763299E-03 iter. number =   700 denomin. =        0.2785738E+02

  global error =        0.3649956E-03 iter. number =   800 denomin. =        0.2747967E+02

  global error =        0.2450870E-03 iter. number =   900 denomin. =        0.2747341E+02

  global error =        0.1440300E-03 iter. number =  1000 denomin. =        0.2754596E+02

  global error =        0.1039925E-03 iter. number =  1100 denomin. =        0.2756332E+02

  convergence  for freq. #   118 achieved in  1115 inner iterations 
 relative error value =       0.99851493E-04


  frequency number   117 frequency :       0.87375000E+00
 jw  real sour, imag sour =    117     -0.15663E+00     -0.39366E+00

  global error =        0.3895130E-02 iter. number =   100 denomin. =        0.2860799E+02

  global error =        0.2955108E-02 iter. number =   200 denomin. =        0.2932289E+02

  global error =        0.2213497E-02 iter. number =   300 denomin. =        0.3077437E+02

  global error =        0.1566701E-02 iter. number =   400 denomin. =        0.3275178E+02

  global error =        0.1014144E-02 iter. number =   500 denomin. =        0.3476552E+02

  global error =        0.6389566E-03 iter. number =   600 denomin. =        0.3626064E+02

  global error =        0.3145755E-03 iter. number =   700 denomin. =        0.3729284E+02

  global error =        0.2279847E-03 iter. number =   800 denomin. =        0.3810054E+02

  global error =        0.1735037E-03 iter. number =   900 denomin. =        0.3868649E+02

  global error =        0.1327043E-03 iter. number =  1000 denomin. =        0.3911468E+02

  convergence  for freq. #   117 achieved in  1081 inner iterations 
 relative error value =       0.99792563E-04


  frequency number   116 frequency :       0.86625000E+00
 jw  real sour, imag sour =    116     -0.12600E+00     -0.41538E+00

  global error =        0.4334093E-02 iter. number =   100 denomin. =        0.4047117E+02

  global error =        0.3462756E-02 iter. number =   200 denomin. =        0.3940640E+02

  global error =        0.2819968E-02 iter. number =   300 denomin. =        0.3755924E+02

  global error =        0.2102506E-02 iter. number =   400 denomin. =        0.3533556E+02

  global error =        0.1357439E-02 iter. number =   500 denomin. =        0.3357295E+02

  global error =        0.8128264E-03 iter. number =   600 denomin. =        0.3274560E+02

  global error =        0.4297599E-03 iter. number =   700 denomin. =        0.3290821E+02

  global error =        0.3215111E-03 iter. number =   800 denomin. =        0.3357881E+02

  global error =        0.2493969E-03 iter. number =   900 denomin. =        0.3431306E+02

  global error =        0.1706697E-03 iter. number =  1000 denomin. =        0.3485376E+02

  global error =        0.1134511E-03 iter. number =  1100 denomin. =        0.3511989E+02

  convergence  for freq. #   116 achieved in  1128 inner iterations 
 relative error value =       0.99754785E-04


  frequency number   115 frequency :       0.85875000E+00
 jw  real sour, imag sour =    115     -0.92836E-01     -0.43476E+00

  global error =        0.4056283E-02 iter. number =   100 denomin. =        0.3694061E+02

  global error =        0.3231694E-02 iter. number =   200 denomin. =        0.3837102E+02

  global error =        0.2594933E-02 iter. number =   300 denomin. =        0.4000255E+02

  global error =        0.1971849E-02 iter. number =   400 denomin. =        0.4148313E+02

  global error =        0.1424493E-02 iter. number =   500 denomin. =        0.4229250E+02

  global error =        0.9494924E-03 iter. number =   600 denomin. =        0.4224347E+02

  global error =        0.5084195E-03 iter. number =   700 denomin. =        0.4109047E+02

  global error =        0.4083113E-03 iter. number =   800 denomin. =        0.3939690E+02

  global error =        0.3325439E-03 iter. number =   900 denomin. =        0.3785602E+02

  global error =        0.2574539E-03 iter. number =  1000 denomin. =        0.3666027E+02

  global error =        0.1767279E-03 iter. number =  1100 denomin. =        0.3595922E+02

  global error =        0.1123346E-03 iter. number =  1200 denomin. =        0.3559866E+02

  convergence  for freq. #   115 achieved in  1239 inner iterations 
 relative error value =       0.99942391E-04


  frequency number   114 frequency :       0.85125000E+00
 jw  real sour, imag sour =    114     -0.57298E-01     -0.45152E+00

  global error =        0.4024520E-02 iter. number =   100 denomin. =        0.3734992E+02

  global error =        0.2803914E-02 iter. number =   200 denomin. =        0.3822844E+02

  global error =        0.2094435E-02 iter. number =   300 denomin. =        0.3961279E+02

  global error =        0.1496427E-02 iter. number =   400 denomin. =        0.4182484E+02

  global error =        0.9755457E-03 iter. number =   500 denomin. =        0.4478698E+02

  global error =        0.7283018E-03 iter. number =   600 denomin. =        0.4824197E+02

  global error =        0.4722899E-03 iter. number =   700 denomin. =        0.5135336E+02

  global error =        0.3371637E-03 iter. number =   800 denomin. =        0.5368974E+02

  global error =        0.2376483E-03 iter. number =   900 denomin. =        0.5534561E+02

  global error =        0.1434609E-03 iter. number =  1000 denomin. =        0.5645814E+02

  convergence  for freq. #   114 achieved in  1096 inner iterations 
 relative error value =       0.99712194E-04


  frequency number   113 frequency :       0.84375000E+00
 jw  real sour, imag sour =    113     -0.19593E-01     -0.46539E+00

  global error =        0.4727528E-02 iter. number =   100 denomin. =        0.5982949E+02

  global error =        0.3813120E-02 iter. number =   200 denomin. =        0.6060292E+02

  global error =        0.3302946E-02 iter. number =   300 denomin. =        0.6129638E+02

  global error =        0.2740283E-02 iter. number =   400 denomin. =        0.6089703E+02

  global error =        0.1952060E-02 iter. number =   500 denomin. =        0.5884313E+02

  global error =        0.1326245E-02 iter. number =   600 denomin. =        0.5482698E+02

  global error =        0.8828800E-03 iter. number =   700 denomin. =        0.5039689E+02

  global error =        0.7224579E-03 iter. number =   800 denomin. =        0.4692627E+02

  global error =        0.5452254E-03 iter. number =   900 denomin. =        0.4527255E+02

  global error =        0.3942692E-03 iter. number =  1000 denomin. =        0.4516042E+02

  global error =        0.2906408E-03 iter. number =  1100 denomin. =        0.4587724E+02

  global error =        0.2085339E-03 iter. number =  1200 denomin. =        0.4674833E+02

  global error =        0.1520429E-03 iter. number =  1300 denomin. =        0.4737997E+02

  global error =        0.1083307E-03 iter. number =  1400 denomin. =        0.4764895E+02

  convergence  for freq. #   113 achieved in  1426 inner iterations 
 relative error value =       0.99781047E-04


  frequency number   112 frequency :       0.83625000E+00
 jw  real sour, imag sour =    112      0.20044E-01     -0.47612E+00

  global error =        0.4075442E-02 iter. number =   100 denomin. =        0.4930262E+02

  global error =        0.2898944E-02 iter. number =   200 denomin. =        0.4967298E+02

  global error =        0.2142171E-02 iter. number =   300 denomin. =        0.5058649E+02

  global error =        0.1478759E-02 iter. number =   400 denomin. =        0.5214233E+02

  global error =        0.9277067E-03 iter. number =   500 denomin. =        0.5477048E+02

  global error =        0.6322148E-03 iter. number =   600 denomin. =        0.5716478E+02

  global error =        0.3757561E-03 iter. number =   700 denomin. =        0.5876726E+02

  global error =        0.2157278E-03 iter. number =   800 denomin. =        0.5968706E+02

  global error =        0.1362696E-03 iter. number =   900 denomin. =        0.6006320E+02

  convergence  for freq. #   112 achieved in   963 inner iterations 
 relative error value =       0.99571205E-04


  frequency number   111 frequency :       0.82875000E+00
 jw  real sour, imag sour =    111      0.61352E-01     -0.48347E+00

  global error =        0.4377331E-02 iter. number =   100 denomin. =        0.6211981E+02

  global error =        0.3577250E-02 iter. number =   200 denomin. =        0.6337063E+02

  global error =        0.2931261E-02 iter. number =   300 denomin. =        0.6403412E+02

  global error =        0.2248120E-02 iter. number =   400 denomin. =        0.6331225E+02

  global error =        0.1563810E-02 iter. number =   500 denomin. =        0.6137907E+02

  global error =        0.9383328E-03 iter. number =   600 denomin. =        0.5901527E+02

  global error =        0.4336426E-03 iter. number =   700 denomin. =        0.5717759E+02

  global error =        0.3221493E-03 iter. number =   800 denomin. =        0.5609386E+02

  global error =        0.2472602E-03 iter. number =   900 denomin. =        0.5583653E+02

  global error =        0.1658991E-03 iter. number =  1000 denomin. =        0.5597454E+02

  global error =        0.9973121E-04 iter. number =  1100 denomin. =        0.5612815E+02

  convergence  for freq. #   111 achieved in  1100 inner iterations 
 relative error value =       0.99731208E-04


  frequency number   110 frequency :       0.82125000E+00
 jw  real sour, imag sour =    110      0.10404E+00     -0.48724E+00

  global error =        0.3952724E-02 iter. number =   100 denomin. =        0.5800430E+02

  global error =        0.3218587E-02 iter. number =   200 denomin. =        0.5891865E+02

  global error =        0.2514406E-02 iter. number =   300 denomin. =        0.6061461E+02

  global error =        0.1814954E-02 iter. number =   400 denomin. =        0.6258114E+02

  global error =        0.1159738E-02 iter. number =   500 denomin. =        0.6396107E+02

  global error =        0.6614222E-03 iter. number =   600 denomin. =        0.6426709E+02

  global error =        0.3179989E-03 iter. number =   700 denomin. =        0.6346969E+02

  global error =        0.2285279E-03 iter. number =   800 denomin. =        0.6229979E+02

  global error =        0.1765657E-03 iter. number =   900 denomin. =        0.6155047E+02

  global error =        0.1178667E-03 iter. number =  1000 denomin. =        0.6115687E+02

  convergence  for freq. #   110 achieved in  1037 inner iterations 
 relative error value =       0.99838812E-04


  frequency number   109 frequency :       0.81375000E+00
 jw  real sour, imag sour =    109      0.14780E+00     -0.48723E+00

  global error =        0.4079553E-02 iter. number =   100 denomin. =        0.6297214E+02

  global error =        0.3179045E-02 iter. number =   200 denomin. =        0.6119399E+02

  global error =        0.2369156E-02 iter. number =   300 denomin. =        0.5962443E+02

  global error =        0.1603398E-02 iter. number =   400 denomin. =        0.5941738E+02

  global error =        0.9333309E-03 iter. number =   500 denomin. =        0.6061195E+02

  global error =        0.6139919E-03 iter. number =   600 denomin. =        0.6331343E+02

  global error =        0.4676862E-03 iter. number =   700 denomin. =        0.6644638E+02

  global error =        0.3265128E-03 iter. number =   800 denomin. =        0.6903791E+02

  global error =        0.2046173E-03 iter. number =   900 denomin. =        0.7051397E+02

  global error =        0.1218436E-03 iter. number =  1000 denomin. =        0.7105564E+02

  convergence  for freq. #   109 achieved in  1078 inner iterations 
 relative error value =       0.99918249E-04


  frequency number   108 frequency :       0.80625000E+00
 jw  real sour, imag sour =    108      0.19229E+00     -0.48328E+00

  global error =        0.4361216E-02 iter. number =   100 denomin. =        0.7499022E+02

  global error =        0.3477777E-02 iter. number =   200 denomin. =        0.7903972E+02

  global error =        0.2869854E-02 iter. number =   300 denomin. =        0.8361187E+02

  global error =        0.2288386E-02 iter. number =   400 denomin. =        0.8797554E+02

  global error =        0.1570883E-02 iter. number =   500 denomin. =        0.9010862E+02

  global error =        0.1053000E-02 iter. number =   600 denomin. =        0.8902649E+02

  global error =        0.6570641E-03 iter. number =   700 denomin. =        0.8548888E+02

  global error =        0.5422978E-03 iter. number =   800 denomin. =        0.8099947E+02

  global error =        0.4406170E-03 iter. number =   900 denomin. =        0.7670189E+02

  global error =        0.3114755E-03 iter. number =  1000 denomin. =        0.7332324E+02

  global error =        0.2215940E-03 iter. number =  1100 denomin. =        0.7119656E+02

  global error =        0.1552837E-03 iter. number =  1200 denomin. =        0.6993871E+02

  global error =        0.1195664E-03 iter. number =  1300 denomin. =        0.6930106E+02

  convergence  for freq. #   108 achieved in  1365 inner iterations 
 relative error value =       0.99723150E-04


  frequency number   107 frequency :       0.79875000E+00
 jw  real sour, imag sour =    107      0.23715E+00     -0.47527E+00

  global error =        0.4312120E-02 iter. number =   100 denomin. =        0.7115232E+02

  global error =        0.3048103E-02 iter. number =   200 denomin. =        0.7119313E+02

  global error =        0.2287332E-02 iter. number =   300 denomin. =        0.7131928E+02

  global error =        0.1545913E-02 iter. number =   400 denomin. =        0.7182831E+02

  global error =        0.9610400E-03 iter. number =   500 denomin. =        0.7527599E+02

  global error =        0.7405677E-03 iter. number =   600 denomin. =        0.8028327E+02

  global error =        0.5797034E-03 iter. number =   700 denomin. =        0.8528130E+02

  global error =        0.3940398E-03 iter. number =   800 denomin. =        0.8903420E+02

  global error =        0.2211914E-03 iter. number =   900 denomin. =        0.9094640E+02

  global error =        0.1234738E-03 iter. number =  1000 denomin. =        0.9191389E+02

  convergence  for freq. #   107 achieved in  1094 inner iterations 
 relative error value =       0.99993636E-04


  frequency number   106 frequency :       0.79125000E+00
 jw  real sour, imag sour =    106      0.28200E+00     -0.46309E+00

  global error =        0.4431837E-02 iter. number =   100 denomin. =        0.9560218E+02

  global error =        0.3559774E-02 iter. number =   200 denomin. =        0.9858682E+02

  global error =        0.2955312E-02 iter. number =   300 denomin. =        0.1024648E+03

  global error =        0.2395279E-02 iter. number =   400 denomin. =        0.1054091E+03

  global error =        0.1799778E-02 iter. number =   500 denomin. =        0.1059868E+03

  global error =        0.1231742E-02 iter. number =   600 denomin. =        0.1035820E+03

  global error =        0.7079543E-03 iter. number =   700 denomin. =        0.1000760E+03

  global error =        0.5073993E-03 iter. number =   800 denomin. =        0.9631001E+02

  global error =        0.3913103E-03 iter. number =   900 denomin. =        0.9310857E+02

  global error =        0.2800120E-03 iter. number =  1000 denomin. =        0.9105891E+02

  global error =        0.1948241E-03 iter. number =  1100 denomin. =        0.9021966E+02

  global error =        0.1279858E-03 iter. number =  1200 denomin. =        0.9021865E+02

  convergence  for freq. #   106 achieved in  1273 inner iterations 
 relative error value =       0.99695037E-04


  frequency number   105 frequency :       0.78375000E+00
 jw  real sour, imag sour =    105      0.32646E+00     -0.44669E+00

  global error =        0.4140283E-02 iter. number =   100 denomin. =        0.9384878E+02

  global error =        0.3152136E-02 iter. number =   200 denomin. =        0.9504548E+02

  global error =        0.2509027E-02 iter. number =   300 denomin. =        0.9692442E+02

  global error =        0.1873319E-02 iter. number =   400 denomin. =        0.1001711E+03

  global error =        0.1278127E-02 iter. number =   500 denomin. =        0.1041081E+03

  global error =        0.8711365E-03 iter. number =   600 denomin. =        0.1079601E+03

  global error =        0.4513431E-03 iter. number =   700 denomin. =        0.1103618E+03

  global error =        0.3210030E-03 iter. number =   800 denomin. =        0.1115359E+03

  global error =        0.2234767E-03 iter. number =   900 denomin. =        0.1121846E+03

  global error =        0.1482103E-03 iter. number =  1000 denomin. =        0.1125378E+03

  convergence  for freq. #   105 achieved in  1094 inner iterations 
 relative error value =       0.99758109E-04


  frequency number   104 frequency :       0.77625000E+00
 jw  real sour, imag sour =    104      0.37012E+00     -0.42604E+00

  global error =        0.4562279E-02 iter. number =   100 denomin. =        0.1165896E+03

  global error =        0.3555682E-02 iter. number =   200 denomin. =        0.1131086E+03

  global error =        0.2862547E-02 iter. number =   300 denomin. =        0.1068658E+03

  global error =        0.2187228E-02 iter. number =   400 denomin. =        0.1004810E+03

  global error =        0.1458032E-02 iter. number =   500 denomin. =        0.9508840E+02

  global error =        0.8703523E-03 iter. number =   600 denomin. =        0.9194452E+02

  global error =        0.5385536E-03 iter. number =   700 denomin. =        0.9094962E+02

  global error =        0.3810727E-03 iter. number =   800 denomin. =        0.9127693E+02

  global error =        0.2649770E-03 iter. number =   900 denomin. =        0.9225601E+02

  global error =        0.1670951E-03 iter. number =  1000 denomin. =        0.9286002E+02

  global error =        0.1032966E-03 iter. number =  1100 denomin. =        0.9266413E+02

  convergence  for freq. #   104 achieved in  1108 inner iterations 
 relative error value =       0.99593447E-04


  frequency number   103 frequency :       0.76875000E+00
 jw  real sour, imag sour =    103      0.41257E+00     -0.40116E+00

  global error =        0.4363825E-02 iter. number =   100 denomin. =        0.9616140E+02

  global error =        0.3354689E-02 iter. number =   200 denomin. =        0.1021385E+03

  global error =        0.2670344E-02 iter. number =   300 denomin. =        0.1111793E+03

  global error =        0.2058166E-02 iter. number =   400 denomin. =        0.1213219E+03

  global error =        0.1299753E-02 iter. number =   500 denomin. =        0.1292496E+03

  global error =        0.8052083E-03 iter. number =   600 denomin. =        0.1337002E+03

  global error =        0.4410614E-03 iter. number =   700 denomin. =        0.1349238E+03

  global error =        0.3404901E-03 iter. number =   800 denomin. =        0.1341658E+03

  global error =        0.2929035E-03 iter. number =   900 denomin. =        0.1330653E+03

  global error =        0.1970878E-03 iter. number =  1000 denomin. =        0.1318266E+03

  global error =        0.1218446E-03 iter. number =  1100 denomin. =        0.1305714E+03

  convergence  for freq. #   103 achieved in  1148 inner iterations 
 relative error value =       0.99860091E-04


  frequency number   102 frequency :       0.76125000E+00
 jw  real sour, imag sour =    102      0.45340E+00     -0.37210E+00

  global error =        0.4593664E-02 iter. number =   100 denomin. =        0.1294873E+03

  global error =        0.3613435E-02 iter. number =   200 denomin. =        0.1209850E+03

  global error =        0.2906419E-02 iter. number =   300 denomin. =        0.1121458E+03

  global error =        0.2072538E-02 iter. number =   400 denomin. =        0.1030914E+03

  global error =        0.1316125E-02 iter. number =   500 denomin. =        0.9879493E+02

  global error =        0.8454743E-03 iter. number =   600 denomin. =        0.9917716E+02

  global error =        0.6584735E-03 iter. number =   700 denomin. =        0.1028996E+03

  global error =        0.4964527E-03 iter. number =   800 denomin. =        0.1074725E+03

  global error =        0.2883415E-03 iter. number =   900 denomin. =        0.1101836E+03

  global error =        0.1657199E-03 iter. number =  1000 denomin. =        0.1105716E+03

  global error =        0.1215885E-03 iter. number =  1100 denomin. =        0.1097437E+03

  convergence  for freq. #   102 achieved in  1179 inner iterations 
 relative error value =       0.99944565E-04


  frequency number   101 frequency :       0.75375000E+00
 jw  real sour, imag sour =    101      0.49220E+00     -0.33896E+00

  global error =        0.4141195E-02 iter. number =   100 denomin. =        0.1131384E+03

  global error =        0.3316638E-02 iter. number =   200 denomin. =        0.1192238E+03

  global error =        0.2615295E-02 iter. number =   300 denomin. =        0.1261882E+03

  global error =        0.1958463E-02 iter. number =   400 denomin. =        0.1326467E+03

  global error =        0.1343983E-02 iter. number =   500 denomin. =        0.1365961E+03

  global error =        0.8317271E-03 iter. number =   600 denomin. =        0.1370044E+03

  global error =        0.4477073E-03 iter. number =   700 denomin. =        0.1347144E+03

  global error =        0.3058577E-03 iter. number =   800 denomin. =        0.1311490E+03

  global error =        0.2300028E-03 iter. number =   900 denomin. =        0.1274474E+03

  global error =        0.1659461E-03 iter. number =  1000 denomin. =        0.1245810E+03

  global error =        0.1097797E-03 iter. number =  1100 denomin. =        0.1229101E+03

  convergence  for freq. #   101 achieved in  1121 inner iterations 
 relative error value =       0.99613537E-04


  frequency number   100 frequency :       0.74625000E+00
 jw  real sour, imag sour =    100      0.52854E+00     -0.30187E+00

  global error =        0.4202155E-02 iter. number =   100 denomin. =        0.1260496E+03

  global error =        0.3152297E-02 iter. number =   200 denomin. =        0.1265804E+03

  global error =        0.2366926E-02 iter. number =   300 denomin. =        0.1280280E+03

  global error =        0.1603842E-02 iter. number =   400 denomin. =        0.1310431E+03

  global error =        0.1004630E-02 iter. number =   500 denomin. =        0.1370531E+03

  global error =        0.7206971E-03 iter. number =   600 denomin. =        0.1447957E+03

  global error =        0.4638002E-03 iter. number =   700 denomin. =        0.1520914E+03

  global error =        0.3360150E-03 iter. number =   800 denomin. =        0.1574869E+03

  global error =        0.2064253E-03 iter. number =   900 denomin. =        0.1609023E+03

  global error =        0.1243761E-03 iter. number =  1000 denomin. =        0.1628982E+03

  convergence  for freq. #   100 achieved in  1064 inner iterations 
 relative error value =       0.99846100E-04


  frequency number    99 frequency :       0.73875000E+00
 jw  real sour, imag sour =     99      0.56204E+00     -0.26102E+00

  global error =        0.4595606E-02 iter. number =   100 denomin. =        0.1702466E+03

  global error =        0.3766279E-02 iter. number =   200 denomin. =        0.1702642E+03

  global error =        0.3119724E-02 iter. number =   300 denomin. =        0.1689358E+03

  global error =        0.2454651E-02 iter. number =   400 denomin. =        0.1661039E+03

  global error =        0.1706870E-02 iter. number =   500 denomin. =        0.1618264E+03

  global error =        0.1093180E-02 iter. number =   600 denomin. =        0.1569890E+03

  global error =        0.5369699E-03 iter. number =   700 denomin. =        0.1527941E+03

  global error =        0.3587322E-03 iter. number =   800 denomin. =        0.1497066E+03

  global error =        0.2857245E-03 iter. number =   900 denomin. =        0.1483487E+03

  global error =        0.2066432E-03 iter. number =  1000 denomin. =        0.1480945E+03

  global error =        0.1363669E-03 iter. number =  1100 denomin. =        0.1485063E+03

  convergence  for freq. #    99 achieved in  1163 inner iterations 
 relative error value =       0.99579342E-04


  frequency number    98 frequency :       0.73125000E+00
 jw  real sour, imag sour =     98      0.59229E+00     -0.21662E+00

  global error =        0.4334297E-02 iter. number =   100 denomin. =        0.1544561E+03

  global error =        0.3191076E-02 iter. number =   200 denomin. =        0.1568284E+03

  global error =        0.2495772E-02 iter. number =   300 denomin. =        0.1622197E+03

  global error =        0.1906918E-02 iter. number =   400 denomin. =        0.1718593E+03

  global error =        0.1287242E-02 iter. number =   500 denomin. =        0.1821008E+03

  global error =        0.8998093E-03 iter. number =   600 denomin. =        0.1907585E+03

  global error =        0.4411121E-03 iter. number =   700 denomin. =        0.1964340E+03

  global error =        0.2885949E-03 iter. number =   800 denomin. =        0.2008697E+03

  global error =        0.2076330E-03 iter. number =   900 denomin. =        0.2042325E+03

  global error =        0.1360552E-03 iter. number =  1000 denomin. =        0.2068115E+03

  convergence  for freq. #    98 achieved in  1098 inner iterations 
 relative error value =       0.99857681E-04


  frequency number    97 frequency :       0.72375000E+00
 jw  real sour, imag sour =     97      0.61894E+00     -0.16895E+00

  global error =        0.4973955E-02 iter. number =   100 denomin. =        0.2136133E+03

  global error =        0.3830717E-02 iter. number =   200 denomin. =        0.2088046E+03

  global error =        0.3258497E-02 iter. number =   300 denomin. =        0.1973118E+03

  global error =        0.2594814E-02 iter. number =   400 denomin. =        0.1813181E+03

  global error =        0.1812272E-02 iter. number =   500 denomin. =        0.1662625E+03

  global error =        0.1093052E-02 iter. number =   600 denomin. =        0.1567791E+03

  global error =        0.5770170E-03 iter. number =   700 denomin. =        0.1536322E+03

  global error =        0.4170286E-03 iter. number =   800 denomin. =        0.1539514E+03

  global error =        0.2962567E-03 iter. number =   900 denomin. =        0.1563795E+03

  global error =        0.2003883E-03 iter. number =  1000 denomin. =        0.1589605E+03

  global error =        0.1299173E-03 iter. number =  1100 denomin. =        0.1602736E+03

  convergence  for freq. #    97 achieved in  1145 inner iterations 
 relative error value =       0.99311901E-04


  frequency number    96 frequency :       0.71625000E+00
 jw  real sour, imag sour =     96      0.64162E+00     -0.11830E+00

  global error =        0.4553399E-02 iter. number =   100 denomin. =        0.1659553E+03

  global error =        0.3554761E-02 iter. number =   200 denomin. =        0.1747096E+03

  global error =        0.2899071E-02 iter. number =   300 denomin. =        0.1867724E+03

  global error =        0.2227121E-02 iter. number =   400 denomin. =        0.1981222E+03

  global error =        0.1569319E-02 iter. number =   500 denomin. =        0.2050634E+03

  global error =        0.1041612E-02 iter. number =   600 denomin. =        0.2047927E+03

  global error =        0.5645153E-03 iter. number =   700 denomin. =        0.1984304E+03

  global error =        0.4637416E-03 iter. number =   800 denomin. =        0.1887992E+03

  global error =        0.3746840E-03 iter. number =   900 denomin. =        0.1804064E+03

  global error =        0.2875672E-03 iter. number =  1000 denomin. =        0.1740031E+03

  global error =        0.2015718E-03 iter. number =  1100 denomin. =        0.1693349E+03

  global error =        0.1342992E-03 iter. number =  1200 denomin. =        0.1661451E+03

  global error =        0.1044836E-03 iter. number =  1300 denomin. =        0.1641901E+03

  convergence  for freq. #    96 achieved in  1317 inner iterations 
 relative error value =       0.99914518E-04


  frequency number    95 frequency :       0.70875000E+00
 jw  real sour, imag sour =     95      0.66002E+00     -0.65007E-01

  global error =        0.4306998E-02 iter. number =   100 denomin. =        0.1659695E+03

  global error =        0.3184345E-02 iter. number =   200 denomin. =        0.1623024E+03

  global error =        0.2416346E-02 iter. number =   300 denomin. =        0.1623521E+03

  global error =        0.1716246E-02 iter. number =   400 denomin. =        0.1644783E+03

  global error =        0.1045613E-02 iter. number =   500 denomin. =        0.1708629E+03

  global error =        0.7146109E-03 iter. number =   600 denomin. =        0.1805987E+03

  global error =        0.5400791E-03 iter. number =   700 denomin. =        0.1903019E+03

  global error =        0.3857196E-03 iter. number =   800 denomin. =        0.1979239E+03

  global error =        0.2494057E-03 iter. number =   900 denomin. =        0.2019514E+03

  global error =        0.1529038E-03 iter. number =  1000 denomin. =        0.2033502E+03

  global error =        0.1007417E-03 iter. number =  1100 denomin. =        0.2037600E+03

  convergence  for freq. #    95 achieved in  1103 inner iterations 
 relative error value =       0.99651736E-04


  frequency number    94 frequency :       0.70125000E+00
 jw  real sour, imag sour =     94      0.67383E+00     -0.94516E-02

  global error =        0.4370340E-02 iter. number =   100 denomin. =        0.2114032E+03

  global error =        0.3657449E-02 iter. number =   200 denomin. =        0.2158952E+03

  global error =        0.2992885E-02 iter. number =   300 denomin. =        0.2197920E+03

  global error =        0.2315646E-02 iter. number =   400 denomin. =        0.2198786E+03

  global error =        0.1557695E-02 iter. number =   500 denomin. =        0.2146009E+03

  global error =        0.9766558E-03 iter. number =   600 denomin. =        0.2048571E+03

  global error =        0.5676605E-03 iter. number =   700 denomin. =        0.1940589E+03

  global error =        0.4562240E-03 iter. number =   800 denomin. =        0.1859846E+03

  global error =        0.3494907E-03 iter. number =   900 denomin. =        0.1819238E+03

  global error =        0.2358729E-03 iter. number =  1000 denomin. =        0.1815530E+03

  global error =        0.1597605E-03 iter. number =  1100 denomin. =        0.1832290E+03

  global error =        0.1086220E-03 iter. number =  1200 denomin. =        0.1852032E+03

  convergence  for freq. #    94 achieved in  1229 inner iterations 
 relative error value =       0.99901602E-04


  frequency number    93 frequency :       0.69375000E+00
 jw  real sour, imag sour =     93      0.68280E+00      0.47960E-01

  global error =        0.4100225E-02 iter. number =   100 denomin. =        0.1942382E+03

  global error =        0.3146489E-02 iter. number =   200 denomin. =        0.2002727E+03

  global error =        0.2337947E-02 iter. number =   300 denomin. =        0.2074224E+03

  global error =        0.1582325E-02 iter. number =   400 denomin. =        0.2171211E+03

  global error =        0.1011671E-02 iter. number =   500 denomin. =        0.2287669E+03

  global error =        0.6967842E-03 iter. number =   600 denomin. =        0.2402994E+03

  global error =        0.4578361E-03 iter. number =   700 denomin. =        0.2487400E+03

  global error =        0.2945429E-03 iter. number =   800 denomin. =        0.2535073E+03

  global error =        0.1528531E-03 iter. number =   900 denomin. =        0.2555419E+03

  convergence  for freq. #    93 achieved in   972 inner iterations 
 relative error value =       0.99606853E-04


  frequency number    92 frequency :       0.68625000E+00
 jw  real sour, imag sour =     92      0.68671E+00      0.10679E+00

  global error =        0.4575489E-02 iter. number =   100 denomin. =        0.2635043E+03

  global error =        0.3766978E-02 iter. number =   200 denomin. =        0.2626520E+03

  global error =        0.3074810E-02 iter. number =   300 denomin. =        0.2593331E+03

  global error =        0.2320114E-02 iter. number =   400 denomin. =        0.2534704E+03

  global error =        0.1544609E-02 iter. number =   500 denomin. =        0.2475647E+03

  global error =        0.8896577E-03 iter. number =   600 denomin. =        0.2445784E+03

  global error =        0.4051603E-03 iter. number =   700 denomin. =        0.2450653E+03

  global error =        0.2726717E-03 iter. number =   800 denomin. =        0.2471112E+03

  global error =        0.1917863E-03 iter. number =   900 denomin. =        0.2488894E+03

  global error =        0.1386325E-03 iter. number =  1000 denomin. =        0.2489815E+03

  convergence  for freq. #    92 achieved in  1098 inner iterations 
 relative error value =       0.99730485E-04


  frequency number    91 frequency :       0.67875000E+00
 jw  real sour, imag sour =     91      0.68536E+00      0.16658E+00

  global error =        0.4601608E-02 iter. number =   100 denomin. =        0.2549559E+03

  global error =        0.3585776E-02 iter. number =   200 denomin. =        0.2581900E+03

  global error =        0.2894773E-02 iter. number =   300 denomin. =        0.2680626E+03

  global error =        0.2201327E-02 iter. number =   400 denomin. =        0.2842261E+03

  global error =        0.1543040E-02 iter. number =   500 denomin. =        0.2987696E+03

  global error =        0.1040939E-02 iter. number =   600 denomin. =        0.3071447E+03

  global error =        0.5104215E-03 iter. number =   700 denomin. =        0.3094196E+03

  global error =        0.3418452E-03 iter. number =   800 denomin. =        0.3098788E+03

  global error =        0.2543389E-03 iter. number =   900 denomin. =        0.3102145E+03

  global error =        0.1696468E-03 iter. number =  1000 denomin. =        0.3101321E+03

  global error =        0.1127893E-03 iter. number =  1100 denomin. =        0.3099749E+03

  convergence  for freq. #    91 achieved in  1125 inner iterations 
 relative error value =       0.99458805E-04


  frequency number    90 frequency :       0.67125000E+00
 jw  real sour, imag sour =     90      0.67863E+00      0.22683E+00

  global error =        0.4943665E-02 iter. number =   100 denomin. =        0.3141642E+03

  global error =        0.3623518E-02 iter. number =   200 denomin. =        0.2915229E+03

  global error =        0.2918307E-02 iter. number =   300 denomin. =        0.2617550E+03

  global error =        0.2193257E-02 iter. number =   400 denomin. =        0.2345294E+03

  global error =        0.1278982E-02 iter. number =   500 denomin. =        0.2190802E+03

  global error =        0.7753854E-03 iter. number =   600 denomin. =        0.2162436E+03

  global error =        0.4790415E-03 iter. number =   700 denomin. =        0.2210632E+03

  global error =        0.3560943E-03 iter. number =   800 denomin. =        0.2287589E+03

  global error =        0.2715890E-03 iter. number =   900 denomin. =        0.2356322E+03

  global error =        0.1718916E-03 iter. number =  1000 denomin. =        0.2400717E+03

  global error =        0.1225997E-03 iter. number =  1100 denomin. =        0.2417773E+03

  convergence  for freq. #    90 achieved in  1152 inner iterations 
 relative error value =       0.99554654E-04


  frequency number    89 frequency :       0.66375000E+00
 jw  real sour, imag sour =     89      0.66641E+00      0.28705E+00

  global error =        0.4731137E-02 iter. number =   100 denomin. =        0.2490366E+03

  global error =        0.3656873E-02 iter. number =   200 denomin. =        0.2657161E+03

  global error =        0.2996765E-02 iter. number =   300 denomin. =        0.2866411E+03

  global error =        0.2413774E-02 iter. number =   400 denomin. =        0.3050026E+03

  global error =        0.1756960E-02 iter. number =   500 denomin. =        0.3158127E+03

  global error =        0.1205556E-02 iter. number =   600 denomin. =        0.3139598E+03

  global error =        0.7360366E-03 iter. number =   700 denomin. =        0.3037949E+03

  global error =        0.6019254E-03 iter. number =   800 denomin. =        0.2876526E+03

  global error =        0.4870849E-03 iter. number =   900 denomin. =        0.2706052E+03

  global error =        0.3851928E-03 iter. number =  1000 denomin. =        0.2563278E+03

  global error =        0.2974138E-03 iter. number =  1100 denomin. =        0.2456830E+03

  global error =        0.2243311E-03 iter. number =  1200 denomin. =        0.2387791E+03

  global error =        0.1652618E-03 iter. number =  1300 denomin. =        0.2351760E+03

  global error =        0.1205600E-03 iter. number =  1400 denomin. =        0.2337977E+03

  convergence  for freq. #    89 achieved in  1465 inner iterations 
 relative error value =       0.99919495E-04


  frequency number    88 frequency :       0.65625000E+00
 jw  real sour, imag sour =     88      0.64866E+00      0.34672E+00

  global error =        0.4362794E-02 iter. number =   100 denomin. =        0.2392524E+03

  global error =        0.3231362E-02 iter. number =   200 denomin. =        0.2423380E+03

  global error =        0.2520405E-02 iter. number =   300 denomin. =        0.2512713E+03

  global error =        0.1823207E-02 iter. number =   400 denomin. =        0.2621777E+03

  global error =        0.1239726E-02 iter. number =   500 denomin. =        0.2773878E+03

  global error =        0.8771826E-03 iter. number =   600 denomin. =        0.2939186E+03

  global error =        0.5172818E-03 iter. number =   700 denomin. =        0.3069080E+03

  global error =        0.3695925E-03 iter. number =   800 denomin. =        0.3142606E+03

  global error =        0.2976102E-03 iter. number =   900 denomin. =        0.3177547E+03

  global error =        0.2343142E-03 iter. number =  1000 denomin. =        0.3189278E+03

  global error =        0.1610808E-03 iter. number =  1100 denomin. =        0.3192410E+03

  convergence  for freq. #    88 achieved in  1181 inner iterations 
 relative error value =       0.99531014E-04


  frequency number    87 frequency :       0.64875000E+00
 jw  real sour, imag sour =     87      0.62539E+00      0.40530E+00

  global error =        0.4655078E-02 iter. number =   100 denomin. =        0.3285539E+03

  global error =        0.3813701E-02 iter. number =   200 denomin. =        0.3235933E+03

  global error =        0.3119340E-02 iter. number =   300 denomin. =        0.3173129E+03

  global error =        0.2408972E-02 iter. number =   400 denomin. =        0.3085580E+03

  global error =        0.1700304E-02 iter. number =   500 denomin. =        0.3002835E+03

  global error =        0.1082575E-02 iter. number =   600 denomin. =        0.2972974E+03

  global error =        0.7455630E-03 iter. number =   700 denomin. =        0.2985547E+03

  global error =        0.5964402E-03 iter. number =   800 denomin. =        0.3042384E+03

  global error =        0.4327367E-03 iter. number =   900 denomin. =        0.3128673E+03

  global error =        0.3071105E-03 iter. number =  1000 denomin. =        0.3198803E+03

  global error =        0.2226960E-03 iter. number =  1100 denomin. =        0.3225960E+03

  global error =        0.1742593E-03 iter. number =  1200 denomin. =        0.3222295E+03

  global error =        0.1245025E-03 iter. number =  1300 denomin. =        0.3205395E+03

  convergence  for freq. #    87 achieved in  1363 inner iterations 
 relative error value =       0.99940592E-04


  frequency number    86 frequency :       0.64125000E+00
 jw  real sour, imag sour =     86      0.59666E+00      0.46228E+00

  global error =        0.4374481E-02 iter. number =   100 denomin. =        0.3336506E+03

  global error =        0.3498147E-02 iter. number =   200 denomin. =        0.3465711E+03

  global error =        0.2814308E-02 iter. number =   300 denomin. =        0.3661319E+03

  global error =        0.2160391E-02 iter. number =   400 denomin. =        0.3883344E+03

  global error =        0.1425190E-02 iter. number =   500 denomin. =        0.4018889E+03

  global error =        0.9140933E-03 iter. number =   600 denomin. =        0.4051841E+03

  global error =        0.5226386E-03 iter. number =   700 denomin. =        0.3979404E+03

  global error =        0.3205666E-03 iter. number =   800 denomin. =        0.3869424E+03

  global error =        0.2178642E-03 iter. number =   900 denomin. =        0.3778983E+03

  global error =        0.1402138E-03 iter. number =  1000 denomin. =        0.3717446E+03

  global error =        0.1067513E-03 iter. number =  1100 denomin. =        0.3683150E+03

  convergence  for freq. #    86 achieved in  1124 inner iterations 
 relative error value =       0.99977748E-04


  frequency number    85 frequency :       0.63375000E+00
 jw  real sour, imag sour =     85      0.56258E+00      0.51712E+00

  global error =        0.4667876E-02 iter. number =   100 denomin. =        0.3756661E+03

  global error =        0.3647381E-02 iter. number =   200 denomin. =        0.3681454E+03

  global error =        0.2857919E-02 iter. number =   300 denomin. =        0.3524661E+03

  global error =        0.1992275E-02 iter. number =   400 denomin. =        0.3332793E+03

  global error =        0.1120349E-02 iter. number =   500 denomin. =        0.3229922E+03

  global error =        0.6476187E-03 iter. number =   600 denomin. =        0.3245751E+03

  global error =        0.5323208E-03 iter. number =   700 denomin. =        0.3349705E+03

  global error =        0.3771875E-03 iter. number =   800 denomin. =        0.3432447E+03

  global error =        0.2283268E-03 iter. number =   900 denomin. =        0.3434001E+03

  global error =        0.1958643E-03 iter. number =  1000 denomin. =        0.3382528E+03

  global error =        0.1608229E-03 iter. number =  1100 denomin. =        0.3331572E+03

  global error =        0.1084931E-03 iter. number =  1200 denomin. =        0.3311141E+03

  convergence  for freq. #    85 achieved in  1215 inner iterations 
 relative error value =       0.99829877E-04


  frequency number    84 frequency :       0.62625000E+00
 jw  real sour, imag sour =     84      0.52331E+00      0.56931E+00

  global error =        0.4484192E-02 iter. number =   100 denomin. =        0.3361384E+03

  global error =        0.3541635E-02 iter. number =   200 denomin. =        0.3414858E+03

  global error =        0.2759646E-02 iter. number =   300 denomin. =        0.3569421E+03

  global error =        0.2104463E-02 iter. number =   400 denomin. =        0.3774334E+03

  global error =        0.1500669E-02 iter. number =   500 denomin. =        0.3950438E+03

  global error =        0.9327586E-03 iter. number =   600 denomin. =        0.4034434E+03

  global error =        0.4458122E-03 iter. number =   700 denomin. =        0.4086814E+03

  global error =        0.3223265E-03 iter. number =   800 denomin. =        0.4134063E+03

  global error =        0.2301093E-03 iter. number =   900 denomin. =        0.4158250E+03

  global error =        0.1721554E-03 iter. number =  1000 denomin. =        0.4167113E+03

  global error =        0.1326927E-03 iter. number =  1100 denomin. =        0.4177189E+03

  global error =        0.1113231E-03 iter. number =  1200 denomin. =        0.4188645E+03

  convergence  for freq. #    84 achieved in  1240 inner iterations 
 relative error value =       0.99711131E-04


  frequency number    83 frequency :       0.61875000E+00
 jw  real sour, imag sour =     83      0.47906E+00      0.61832E+00

  global error =        0.4780010E-02 iter. number =   100 denomin. =        0.4215629E+03

  global error =        0.3695307E-02 iter. number =   200 denomin. =        0.3982664E+03

  global error =        0.2996614E-02 iter. number =   300 denomin. =        0.3691214E+03

  global error =        0.2179162E-02 iter. number =   400 denomin. =        0.3430035E+03

  global error =        0.1406841E-02 iter. number =   500 denomin. =        0.3319727E+03

  global error =        0.9776601E-03 iter. number =   600 denomin. =        0.3361248E+03

  global error =        0.5365165E-03 iter. number =   700 denomin. =        0.3486190E+03

  global error =        0.3374930E-03 iter. number =   800 denomin. =        0.3653659E+03

  global error =        0.2669004E-03 iter. number =   900 denomin. =        0.3811316E+03

  global error =        0.2172247E-03 iter. number =  1000 denomin. =        0.3937939E+03

  global error =        0.1674980E-03 iter. number =  1100 denomin. =        0.4030150E+03

  global error =        0.1119529E-03 iter. number =  1200 denomin. =        0.4092063E+03

  convergence  for freq. #    83 achieved in  1233 inner iterations 
 relative error value =       0.99885116E-04


  frequency number    82 frequency :       0.61125000E+00
 jw  real sour, imag sour =     82      0.43012E+00      0.66368E+00

  global error =        0.4835080E-02 iter. number =   100 denomin. =        0.4285313E+03

  global error =        0.3922253E-02 iter. number =   200 denomin. =        0.4275467E+03

  global error =        0.3304212E-02 iter. number =   300 denomin. =        0.4155695E+03

  global error =        0.2673986E-02 iter. number =   400 denomin. =        0.3992823E+03

  global error =        0.2051700E-02 iter. number =   500 denomin. =        0.3789093E+03

  global error =        0.1433398E-02 iter. number =   600 denomin. =        0.3588136E+03

  global error =        0.8854397E-03 iter. number =   700 denomin. =        0.3363182E+03

  global error =        0.7269661E-03 iter. number =   800 denomin. =        0.3173160E+03

  global error =        0.6013964E-03 iter. number =   900 denomin. =        0.3065126E+03

  global error =        0.4694909E-03 iter. number =  1000 denomin. =        0.3031357E+03

  global error =        0.3278382E-03 iter. number =  1100 denomin. =        0.3039045E+03

  global error =        0.2189711E-03 iter. number =  1200 denomin. =        0.3067984E+03

  global error =        0.1591852E-03 iter. number =  1300 denomin. =        0.3090877E+03

  global error =        0.1170640E-03 iter. number =  1400 denomin. =        0.3103126E+03

  convergence  for freq. #    82 achieved in  1472 inner iterations 
 relative error value =       0.99979631E-04


  frequency number    81 frequency :       0.60375000E+00
 jw  real sour, imag sour =     81      0.37678E+00      0.70491E+00

  global error =        0.4725706E-02 iter. number =   100 denomin. =        0.3276921E+03

  global error =        0.3396699E-02 iter. number =   200 denomin. =        0.3547474E+03

  global error =        0.2649345E-02 iter. number =   300 denomin. =        0.3927309E+03

  global error =        0.2090280E-02 iter. number =   400 denomin. =        0.4401848E+03

  global error =        0.1424792E-02 iter. number =   500 denomin. =        0.4850490E+03

  global error =        0.1068055E-02 iter. number =   600 denomin. =        0.5212027E+03

  global error =        0.7176336E-03 iter. number =   700 denomin. =        0.5436804E+03

  global error =        0.5564202E-03 iter. number =   800 denomin. =        0.5515548E+03

  global error =        0.4395562E-03 iter. number =   900 denomin. =        0.5509567E+03

  global error =        0.3246056E-03 iter. number =  1000 denomin. =        0.5451788E+03

  global error =        0.2563736E-03 iter. number =  1100 denomin. =        0.5370573E+03

  global error =        0.1873256E-03 iter. number =  1200 denomin. =        0.5279636E+03

  global error =        0.1507399E-03 iter. number =  1300 denomin. =        0.5192952E+03

  global error =        0.1180560E-03 iter. number =  1400 denomin. =        0.5113923E+03

  convergence  for freq. #    81 achieved in  1459 inner iterations 
 relative error value =       0.99847472E-04


  frequency number    80 frequency :       0.59625000E+00
 jw  real sour, imag sour =     80      0.31943E+00      0.74159E+00

  global error =        0.5365951E-02 iter. number =   100 denomin. =        0.5045115E+03

  global error =        0.4061582E-02 iter. number =   200 denomin. =        0.4757535E+03

  global error =        0.3459242E-02 iter. number =   300 denomin. =        0.4469319E+03

  global error =        0.2792134E-02 iter. number =   400 denomin. =        0.4089425E+03

  global error =        0.2028633E-02 iter. number =   500 denomin. =        0.3848016E+03

  global error =        0.1460586E-02 iter. number =   600 denomin. =        0.3817955E+03

  global error =        0.1159433E-02 iter. number =   700 denomin. =        0.4011646E+03

  global error =        0.8681781E-03 iter. number =   800 denomin. =        0.4281814E+03

  global error =        0.6315231E-03 iter. number =   900 denomin. =        0.4468638E+03

  global error =        0.4954560E-03 iter. number =  1000 denomin. =        0.4519899E+03

  global error =        0.3791691E-03 iter. number =  1100 denomin. =        0.4467852E+03

  global error =        0.2920928E-03 iter. number =  1200 denomin. =        0.4395812E+03

  global error =        0.2272355E-03 iter. number =  1300 denomin. =        0.4358895E+03

  global error =        0.1758708E-03 iter. number =  1400 denomin. =        0.4371227E+03

  global error =        0.1394100E-03 iter. number =  1500 denomin. =        0.4406712E+03

  global error =        0.1045049E-03 iter. number =  1600 denomin. =        0.4434729E+03

  convergence  for freq. #    80 achieved in  1616 inner iterations 
 relative error value =       0.99976402E-04


  frequency number    79 frequency :       0.58875000E+00
 jw  real sour, imag sour =     79      0.25847E+00      0.77329E+00

  global error =        0.4523307E-02 iter. number =   100 denomin. =        0.4569149E+03

  global error =        0.3573328E-02 iter. number =   200 denomin. =        0.4725263E+03

  global error =        0.2849497E-02 iter. number =   300 denomin. =        0.4958011E+03

  global error =        0.2179783E-02 iter. number =   400 denomin. =        0.5180129E+03

  global error =        0.1554409E-02 iter. number =   500 denomin. =        0.5317562E+03

  global error =        0.1049792E-02 iter. number =   600 denomin. =        0.5305808E+03

  global error =        0.6097545E-03 iter. number =   700 denomin. =        0.5176323E+03

  global error =        0.4027497E-03 iter. number =   800 denomin. =        0.5013799E+03

  global error =        0.2847679E-03 iter. number =   900 denomin. =        0.4877140E+03

  global error =        0.1989060E-03 iter. number =  1000 denomin. =        0.4795039E+03

  global error =        0.1497198E-03 iter. number =  1100 denomin. =        0.4763991E+03

  global error =        0.1043957E-03 iter. number =  1200 denomin. =        0.4765548E+03

  convergence  for freq. #    79 achieved in  1213 inner iterations 
 relative error value =       0.99902852E-04


  frequency number    78 frequency :       0.58125000E+00
 jw  real sour, imag sour =     78      0.19435E+00      0.79966E+00

  global error =        0.4319649E-02 iter. number =   100 denomin. =        0.4879245E+03

  global error =        0.3562998E-02 iter. number =   200 denomin. =        0.4858634E+03

  global error =        0.2794406E-02 iter. number =   300 denomin. =        0.4799848E+03

  global error =        0.1976084E-02 iter. number =   400 denomin. =        0.4744178E+03

  global error =        0.1234439E-02 iter. number =   500 denomin. =        0.4722013E+03

  global error =        0.6834105E-03 iter. number =   600 denomin. =        0.4762988E+03

  global error =        0.3739938E-03 iter. number =   700 denomin. =        0.4827960E+03

  global error =        0.2765567E-03 iter. number =   800 denomin. =        0.4884313E+03

  global error =        0.1812441E-03 iter. number =   900 denomin. =        0.4905626E+03

  global error =        0.1286662E-03 iter. number =  1000 denomin. =        0.4902050E+03

  global error =        0.1052277E-03 iter. number =  1100 denomin. =        0.4891690E+03

  convergence  for freq. #    78 achieved in  1123 inner iterations 
 relative error value =       0.99833193E-04


  frequency number    77 frequency :       0.57375000E+00
 jw  real sour, imag sour =     77      0.12758E+00      0.82037E+00

  global error =        0.4408895E-02 iter. number =   100 denomin. =        0.5014863E+03

  global error =        0.3771527E-02 iter. number =   200 denomin. =        0.5000604E+03

  global error =        0.3022107E-02 iter. number =   300 denomin. =        0.4944740E+03

  global error =        0.2231699E-02 iter. number =   400 denomin. =        0.4825650E+03

  global error =        0.1417171E-02 iter. number =   500 denomin. =        0.4630138E+03

  global error =        0.8157020E-03 iter. number =   600 denomin. =        0.4431093E+03

  global error =        0.4591455E-03 iter. number =   700 denomin. =        0.4261672E+03

  global error =        0.3119552E-03 iter. number =   800 denomin. =        0.4140881E+03

  global error =        0.2069627E-03 iter. number =   900 denomin. =        0.4064699E+03

  global error =        0.1588587E-03 iter. number =  1000 denomin. =        0.4003479E+03

  global error =        0.1305025E-03 iter. number =  1100 denomin. =        0.3963073E+03

  convergence  for freq. #    77 achieved in  1183 inner iterations 
 relative error value =       0.99895379E-04


  frequency number    76 frequency :       0.56625000E+00
 jw  real sour, imag sour =     76      0.58660E-01      0.83515E+00

  global error =        0.4450445E-02 iter. number =   100 denomin. =        0.4027649E+03

  global error =        0.3423328E-02 iter. number =   200 denomin. =        0.4035421E+03

  global error =        0.2541402E-02 iter. number =   300 denomin. =        0.4172410E+03

  global error =        0.1822629E-02 iter. number =   400 denomin. =        0.4469455E+03

  global error =        0.1164433E-02 iter. number =   500 denomin. =        0.4827712E+03

  global error =        0.8097668E-03 iter. number =   600 denomin. =        0.5211426E+03

  global error =        0.5166381E-03 iter. number =   700 denomin. =        0.5565301E+03

  global error =        0.4259750E-03 iter. number =   800 denomin. =        0.5891333E+03

  global error =        0.3213564E-03 iter. number =   900 denomin. =        0.6155565E+03

  global error =        0.2315148E-03 iter. number =  1000 denomin. =        0.6352659E+03

  global error =        0.1829607E-03 iter. number =  1100 denomin. =        0.6510232E+03

  global error =        0.1341810E-03 iter. number =  1200 denomin. =        0.6635095E+03

  global error =        0.1015399E-03 iter. number =  1300 denomin. =        0.6730687E+03

  convergence  for freq. #    76 achieved in  1306 inner iterations 
 relative error value =       0.99949417E-04


  frequency number    75 frequency :       0.55875000E+00
 jw  real sour, imag sour =     75     -0.11836E-01      0.84377E+00

  global error =        0.5300240E-02 iter. number =   100 denomin. =        0.6935663E+03

  global error =        0.4231883E-02 iter. number =   200 denomin. =        0.6574412E+03

  global error =        0.3701206E-02 iter. number =   300 denomin. =        0.5951653E+03

  global error =        0.3070546E-02 iter. number =   400 denomin. =        0.5231313E+03

  global error =        0.2253930E-02 iter. number =   500 denomin. =        0.4564065E+03

  global error =        0.1641668E-02 iter. number =   600 denomin. =        0.4082741E+03

  global error =        0.1170843E-02 iter. number =   700 denomin. =        0.3882129E+03

  global error =        0.9236431E-03 iter. number =   800 denomin. =        0.3884244E+03

  global error =        0.7055989E-03 iter. number =   900 denomin. =        0.4015265E+03

  global error =        0.5017413E-03 iter. number =  1000 denomin. =        0.4171227E+03

  global error =        0.3540104E-03 iter. number =  1100 denomin. =        0.4273997E+03

  global error =        0.2318464E-03 iter. number =  1200 denomin. =        0.4307112E+03

  global error =        0.1676503E-03 iter. number =  1300 denomin. =        0.4278137E+03

  global error =        0.1344590E-03 iter. number =  1400 denomin. =        0.4222237E+03

  global error =        0.1107897E-03 iter. number =  1500 denomin. =        0.4167706E+03

  convergence  for freq. #    75 achieved in  1539 inner iterations 
 relative error value =       0.99880365E-04


  frequency number    74 frequency :       0.55125000E+00
 jw  real sour, imag sour =     74     -0.83331E-01      0.84607E+00

  global error =        0.4815673E-02 iter. number =   100 denomin. =        0.4296293E+03

  global error =        0.3436992E-02 iter. number =   200 denomin. =        0.4649726E+03

  global error =        0.2746838E-02 iter. number =   300 denomin. =        0.5109769E+03

  global error =        0.2170390E-02 iter. number =   400 denomin. =        0.5613587E+03

  global error =        0.1678940E-02 iter. number =   500 denomin. =        0.6070513E+03

  global error =        0.1238211E-02 iter. number =   600 denomin. =        0.6356437E+03

  global error =        0.8564504E-03 iter. number =   700 denomin. =        0.6466544E+03

  global error =        0.6484581E-03 iter. number =   800 denomin. =        0.6402351E+03

  global error =        0.4702396E-03 iter. number =   900 denomin. =        0.6227823E+03

  global error =        0.3714068E-03 iter. number =  1000 denomin. =        0.6017589E+03

  global error =        0.2923931E-03 iter. number =  1100 denomin. =        0.5806993E+03

  global error =        0.2348175E-03 iter. number =  1200 denomin. =        0.5627277E+03

  global error =        0.1824197E-03 iter. number =  1300 denomin. =        0.5484018E+03

  global error =        0.1416814E-03 iter. number =  1400 denomin. =        0.5378584E+03

  global error =        0.1091210E-03 iter. number =  1500 denomin. =        0.5308589E+03

  convergence  for freq. #    74 achieved in  1528 inner iterations 
 relative error value =       0.99859114E-04


  frequency number    73 frequency :       0.54375000E+00
 jw  real sour, imag sour =     73     -0.15523E+00      0.84193E+00

  global error =        0.5020314E-02 iter. number =   100 denomin. =        0.5383586E+03

  global error =        0.3634964E-02 iter. number =   200 denomin. =        0.5364191E+03

  global error =        0.2907225E-02 iter. number =   300 denomin. =        0.5400877E+03

  global error =        0.2252703E-02 iter. number =   400 denomin. =        0.5490354E+03

  global error =        0.1492009E-02 iter. number =   500 denomin. =        0.5712486E+03

  global error =        0.1049841E-02 iter. number =   600 denomin. =        0.6046583E+03

  global error =        0.6613720E-03 iter. number =   700 denomin. =        0.6402232E+03

  global error =        0.4904963E-03 iter. number =   800 denomin. =        0.6672226E+03

  global error =        0.4090396E-03 iter. number =   900 denomin. =        0.6840967E+03

  global error =        0.3171536E-03 iter. number =  1000 denomin. =        0.6913451E+03

  global error =        0.2302581E-03 iter. number =  1100 denomin. =        0.6927198E+03

  global error =        0.1385709E-03 iter. number =  1200 denomin. =        0.6920292E+03

  global error =        0.1001099E-03 iter. number =  1300 denomin. =        0.6918613E+03

  convergence  for freq. #    73 achieved in  1301 inner iterations 
 relative error value =       0.99857441E-04


  frequency number    72 frequency :       0.53625000E+00
 jw  real sour, imag sour =     72     -0.22692E+00      0.83129E+00

  global error =        0.5143337E-02 iter. number =   100 denomin. =        0.7099274E+03

  global error =        0.4136061E-02 iter. number =   200 denomin. =        0.7089462E+03

  global error =        0.3542988E-02 iter. number =   300 denomin. =        0.7086788E+03

  global error =        0.2915283E-02 iter. number =   400 denomin. =        0.6930298E+03

  global error =        0.2181857E-02 iter. number =   500 denomin. =        0.6641795E+03

  global error =        0.1540659E-02 iter. number =   600 denomin. =        0.6284927E+03

  global error =        0.9509234E-03 iter. number =   700 denomin. =        0.5934601E+03

  global error =        0.6862711E-03 iter. number =   800 denomin. =        0.5692937E+03

  global error =        0.4750176E-03 iter. number =   900 denomin. =        0.5647560E+03

  global error =        0.3591417E-03 iter. number =  1000 denomin. =        0.5721778E+03

  global error =        0.2895884E-03 iter. number =  1100 denomin. =        0.5811774E+03

  global error =        0.2297142E-03 iter. number =  1200 denomin. =        0.5871004E+03

  global error =        0.1698238E-03 iter. number =  1300 denomin. =        0.5887440E+03

  global error =        0.1128344E-03 iter. number =  1400 denomin. =        0.5865991E+03

  convergence  for freq. #    72 achieved in  1435 inner iterations 
 relative error value =       0.99777661E-04


  frequency number    71 frequency :       0.52875000E+00
 jw  real sour, imag sour =     71     -0.29777E+00      0.81417E+00

  global error =        0.4513076E-02 iter. number =   100 denomin. =        0.5939602E+03

  global error =        0.3508963E-02 iter. number =   200 denomin. =        0.5908614E+03

  global error =        0.2776361E-02 iter. number =   300 denomin. =        0.6014459E+03

  global error =        0.2114028E-02 iter. number =   400 denomin. =        0.6189849E+03

  global error =        0.1348722E-02 iter. number =   500 denomin. =        0.6333980E+03

  global error =        0.8505817E-03 iter. number =   600 denomin. =        0.6423163E+03

  global error =        0.4707299E-03 iter. number =   700 denomin. =        0.6441099E+03

  global error =        0.3062011E-03 iter. number =   800 denomin. =        0.6433601E+03

  global error =        0.1646568E-03 iter. number =   900 denomin. =        0.6438979E+03

  convergence  for freq. #    71 achieved in   996 inner iterations 
 relative error value =       0.99671855E-04


  frequency number    70 frequency :       0.52125000E+00
 jw  real sour, imag sour =     70     -0.36718E+00      0.79063E+00

  global error =        0.4653944E-02 iter. number =   100 denomin. =        0.6600961E+03

  global error =        0.3869003E-02 iter. number =   200 denomin. =        0.6419965E+03

  global error =        0.3157395E-02 iter. number =   300 denomin. =        0.6065684E+03

  global error =        0.2344974E-02 iter. number =   400 denomin. =        0.5606369E+03

  global error =        0.1561130E-02 iter. number =   500 denomin. =        0.5134211E+03

  global error =        0.9206602E-03 iter. number =   600 denomin. =        0.4806294E+03

  global error =        0.6117903E-03 iter. number =   700 denomin. =        0.4684508E+03

  global error =        0.4434293E-03 iter. number =   800 denomin. =        0.4707821E+03

  global error =        0.2543307E-03 iter. number =   900 denomin. =        0.4752055E+03

  global error =        0.1385754E-03 iter. number =  1000 denomin. =        0.4765460E+03

  convergence  for freq. #    70 achieved in  1080 inner iterations 
 relative error value =       0.99948937E-04


  frequency number    69 frequency :       0.51375000E+00
 jw  real sour, imag sour =     69     -0.43452E+00      0.76080E+00

  global error =        0.4503376E-02 iter. number =   100 denomin. =        0.4832275E+03

  global error =        0.3636442E-02 iter. number =   200 denomin. =        0.4975795E+03

  global error =        0.2824426E-02 iter. number =   300 denomin. =        0.5256113E+03

  global error =        0.2031272E-02 iter. number =   400 denomin. =        0.5588073E+03

  global error =        0.1319976E-02 iter. number =   500 denomin. =        0.5846836E+03

  global error =        0.8168265E-03 iter. number =   600 denomin. =        0.5999690E+03

  global error =        0.5101120E-03 iter. number =   700 denomin. =        0.6074150E+03

  global error =        0.4037880E-03 iter. number =   800 denomin. =        0.6096860E+03

  global error =        0.2839267E-03 iter. number =   900 denomin. =        0.6091576E+03

  global error =        0.2106593E-03 iter. number =  1000 denomin. =        0.6067999E+03

  global error =        0.1497303E-03 iter. number =  1100 denomin. =        0.6057121E+03

  global error =        0.1104149E-03 iter. number =  1200 denomin. =        0.6050316E+03

  convergence  for freq. #    69 achieved in  1235 inner iterations 
 relative error value =       0.99693585E-04


  frequency number    68 frequency :       0.50625000E+00
 jw  real sour, imag sour =     68     -0.49920E+00      0.72488E+00

  global error =        0.4943592E-02 iter. number =   100 denomin. =        0.6134230E+03

  global error =        0.3914368E-02 iter. number =   200 denomin. =        0.5770745E+03

  global error =        0.3089913E-02 iter. number =   300 denomin. =        0.5409163E+03

  global error =        0.2229400E-02 iter. number =   400 denomin. =        0.5189024E+03

  global error =        0.1393392E-02 iter. number =   500 denomin. =        0.5242739E+03

  global error =        0.9867214E-03 iter. number =   600 denomin. =        0.5544621E+03

  global error =        0.7212813E-03 iter. number =   700 denomin. =        0.5980781E+03

  global error =        0.5157056E-03 iter. number =   800 denomin. =        0.6424046E+03

  global error =        0.3182955E-03 iter. number =   900 denomin. =        0.6745121E+03

  global error =        0.1906567E-03 iter. number =  1000 denomin. =        0.6932476E+03

  global error =        0.1339574E-03 iter. number =  1100 denomin. =        0.7042806E+03

  convergence  for freq. #    68 achieved in  1186 inner iterations 
 relative error value =       0.99978923E-04


  frequency number    67 frequency :       0.49875000E+00
 jw  real sour, imag sour =     67     -0.56062E+00      0.68312E+00

  global error =        0.5056354E-02 iter. number =   100 denomin. =        0.7455622E+03

  global error =        0.3944777E-02 iter. number =   200 denomin. =        0.7684204E+03

  global error =        0.3323093E-02 iter. number =   300 denomin. =        0.7860581E+03

  global error =        0.2764777E-02 iter. number =   400 denomin. =        0.7950091E+03

  global error =        0.2164332E-02 iter. number =   500 denomin. =        0.7825801E+03

  global error =        0.1601474E-02 iter. number =   600 denomin. =        0.7428612E+03

  global error =        0.1069198E-02 iter. number =   700 denomin. =        0.6929523E+03

  global error =        0.8133468E-03 iter. number =   800 denomin. =        0.6448440E+03

  global error =        0.6395428E-03 iter. number =   900 denomin. =        0.6024224E+03

  global error =        0.5350945E-03 iter. number =  1000 denomin. =        0.5739672E+03

  global error =        0.4254747E-03 iter. number =  1100 denomin. =        0.5605239E+03

  global error =        0.3206773E-03 iter. number =  1200 denomin. =        0.5595654E+03

  global error =        0.2363268E-03 iter. number =  1300 denomin. =        0.5654315E+03

  global error =        0.1714100E-03 iter. number =  1400 denomin. =        0.5736951E+03

  global error =        0.1297947E-03 iter. number =  1500 denomin. =        0.5809775E+03

  convergence  for freq. #    67 achieved in  1590 inner iterations 
 relative error value =       0.99905419E-04


  frequency number    66 frequency :       0.49125000E+00
 jw  real sour, imag sour =     66     -0.61824E+00      0.63583E+00

  global error =        0.4892725E-02 iter. number =   100 denomin. =        0.6049014E+03

  global error =        0.3526114E-02 iter. number =   200 denomin. =        0.6209601E+03

  global error =        0.2769319E-02 iter. number =   300 denomin. =        0.6431973E+03

  global error =        0.2110807E-02 iter. number =   400 denomin. =        0.6747452E+03

  global error =        0.1485430E-02 iter. number =   500 denomin. =        0.7179484E+03

  global error =        0.1155942E-02 iter. number =   600 denomin. =        0.7621658E+03

  global error =        0.7644310E-03 iter. number =   700 denomin. =        0.7941984E+03

  global error =        0.5833886E-03 iter. number =   800 denomin. =        0.8096159E+03

  global error =        0.4133332E-03 iter. number =   900 denomin. =        0.8146076E+03

  global error =        0.2855968E-03 iter. number =  1000 denomin. =        0.8128710E+03

  global error =        0.1945754E-03 iter. number =  1100 denomin. =        0.8085549E+03

  global error =        0.1089468E-03 iter. number =  1200 denomin. =        0.8031012E+03

  convergence  for freq. #    66 achieved in  1221 inner iterations 
 relative error value =       0.99955513E-04


  frequency number    65 frequency :       0.48375000E+00
 jw  real sour, imag sour =     65     -0.67153E+00      0.58338E+00

  global error =        0.5381917E-02 iter. number =   100 denomin. =        0.8223238E+03

  global error =        0.4056153E-02 iter. number =   200 denomin. =        0.8039021E+03

  global error =        0.3390462E-02 iter. number =   300 denomin. =        0.7682428E+03

  global error =        0.2740725E-02 iter. number =   400 denomin. =        0.7327352E+03

  global error =        0.2065021E-02 iter. number =   500 denomin. =        0.7010006E+03

  global error =        0.1365260E-02 iter. number =   600 denomin. =        0.6855014E+03

  global error =        0.7102302E-03 iter. number =   700 denomin. =        0.6822214E+03

  global error =        0.4699101E-03 iter. number =   800 denomin. =        0.6854183E+03

  global error =        0.3933115E-03 iter. number =   900 denomin. =        0.6932140E+03

  global error =        0.3173623E-03 iter. number =  1000 denomin. =        0.6971563E+03

  global error =        0.2414497E-03 iter. number =  1100 denomin. =        0.6931287E+03

  global error =        0.1832501E-03 iter. number =  1200 denomin. =        0.6851398E+03

  global error =        0.1405630E-03 iter. number =  1300 denomin. =        0.6773196E+03

  global error =        0.1092458E-03 iter. number =  1400 denomin. =        0.6722198E+03

  convergence  for freq. #    65 achieved in  1431 inner iterations 
 relative error value =       0.99808287E-04


  frequency number    64 frequency :       0.47625000E+00
 jw  real sour, imag sour =     64     -0.71998E+00      0.52619E+00

  global error =        0.5113272E-02 iter. number =   100 denomin. =        0.6863899E+03

  global error =        0.4017377E-02 iter. number =   200 denomin. =        0.7071485E+03

  global error =        0.3418257E-02 iter. number =   300 denomin. =        0.7531803E+03

  global error =        0.2756420E-02 iter. number =   400 denomin. =        0.8024352E+03

  global error =        0.1888987E-02 iter. number =   500 denomin. =        0.8325705E+03

  global error =        0.1288215E-02 iter. number =   600 denomin. =        0.8341411E+03

  global error =        0.7647699E-03 iter. number =   700 denomin. =        0.8096591E+03

  global error =        0.4991480E-03 iter. number =   800 denomin. =        0.7752588E+03

  global error =        0.3146805E-03 iter. number =   900 denomin. =        0.7511932E+03

  global error =        0.2034412E-03 iter. number =  1000 denomin. =        0.7368055E+03

  global error =        0.1492001E-03 iter. number =  1100 denomin. =        0.7250161E+03

  global error =        0.1187773E-03 iter. number =  1200 denomin. =        0.7138826E+03

  convergence  for freq. #    64 achieved in  1298 inner iterations 
 relative error value =       0.99975982E-04


  frequency number    63 frequency :       0.46875000E+00
 jw  real sour, imag sour =     63     -0.76317E+00      0.46473E+00

  global error =        0.4930886E-02 iter. number =   100 denomin. =        0.7035888E+03

  global error =        0.3769054E-02 iter. number =   200 denomin. =        0.6511420E+03

  global error =        0.2941242E-02 iter. number =   300 denomin. =        0.6036460E+03

  global error =        0.2135842E-02 iter. number =   400 denomin. =        0.5591582E+03

  global error =        0.1336542E-02 iter. number =   500 denomin. =        0.5377864E+03

  global error =        0.9003936E-03 iter. number =   600 denomin. =        0.5408659E+03

  global error =        0.6688189E-03 iter. number =   700 denomin. =        0.5601706E+03

  global error =        0.4906235E-03 iter. number =   800 denomin. =        0.5837502E+03

  global error =        0.2941992E-03 iter. number =   900 denomin. =        0.5977311E+03

  global error =        0.1741513E-03 iter. number =  1000 denomin. =        0.6003421E+03

  global error =        0.1241599E-03 iter. number =  1100 denomin. =        0.5962550E+03

  convergence  for freq. #    63 achieved in  1161 inner iterations 
 relative error value =       0.99825194E-04


  frequency number    62 frequency :       0.46125000E+00
 jw  real sour, imag sour =     62     -0.80067E+00      0.39951E+00

  global error =        0.4699551E-02 iter. number =   100 denomin. =        0.6066809E+03

  global error =        0.3874769E-02 iter. number =   200 denomin. =        0.6350154E+03

  global error =        0.3084923E-02 iter. number =   300 denomin. =        0.6658400E+03

  global error =        0.2296299E-02 iter. number =   400 denomin. =        0.6879437E+03

  global error =        0.1526491E-02 iter. number =   500 denomin. =        0.6893928E+03

  global error =        0.9461718E-03 iter. number =   600 denomin. =        0.6736576E+03

  global error =        0.5598162E-03 iter. number =   700 denomin. =        0.6495508E+03

  global error =        0.4115747E-03 iter. number =   800 denomin. =        0.6268181E+03

  global error =        0.2951065E-03 iter. number =   900 denomin. =        0.6069560E+03

  global error =        0.1962989E-03 iter. number =  1000 denomin. =        0.5942782E+03

  global error =        0.1141533E-03 iter. number =  1100 denomin. =        0.5900974E+03

  convergence  for freq. #    62 achieved in  1126 inner iterations 
 relative error value =       0.99479626E-04


  frequency number    61 frequency :       0.45375000E+00
 jw  real sour, imag sour =     61     -0.83215E+00      0.33109E+00

  global error =        0.4534975E-02 iter. number =   100 denomin. =        0.5968250E+03

  global error =        0.3728878E-02 iter. number =   200 denomin. =        0.5816138E+03

  global error =        0.2859339E-02 iter. number =   300 denomin. =        0.5744317E+03

  global error =        0.1966376E-02 iter. number =   400 denomin. =        0.5736960E+03

  global error =        0.1232918E-02 iter. number =   500 denomin. =        0.5864949E+03

  global error =        0.8110449E-03 iter. number =   600 denomin. =        0.6070656E+03

  global error =        0.5895149E-03 iter. number =   700 denomin. =        0.6304808E+03

  global error =        0.4719868E-03 iter. number =   800 denomin. =        0.6498818E+03

  global error =        0.2625932E-03 iter. number =   900 denomin. =        0.6634825E+03

  global error =        0.1507694E-03 iter. number =  1000 denomin. =        0.6731451E+03

  global error =        0.1169553E-03 iter. number =  1100 denomin. =        0.6808508E+03

  convergence  for freq. #    61 achieved in  1197 inner iterations 
 relative error value =       0.99920769E-04


  frequency number    60 frequency :       0.44625000E+00
 jw  real sour, imag sour =     60     -0.85732E+00      0.26006E+00

  global error =        0.4753299E-02 iter. number =   100 denomin. =        0.7138822E+03

  global error =        0.3962232E-02 iter. number =   200 denomin. =        0.7008597E+03

  global error =        0.3157715E-02 iter. number =   300 denomin. =        0.6812293E+03

  global error =        0.2304759E-02 iter. number =   400 denomin. =        0.6700793E+03

  global error =        0.1570698E-02 iter. number =   500 denomin. =        0.6717427E+03

  global error =        0.1072137E-02 iter. number =   600 denomin. =        0.6932814E+03

  global error =        0.6192732E-03 iter. number =   700 denomin. =        0.7270921E+03

  global error =        0.3902604E-03 iter. number =   800 denomin. =        0.7607730E+03

  global error =        0.2427774E-03 iter. number =   900 denomin. =        0.7848423E+03

  global error =        0.1686139E-03 iter. number =  1000 denomin. =        0.7982668E+03

  global error =        0.1284966E-03 iter. number =  1100 denomin. =        0.8066888E+03

  convergence  for freq. #    60 achieved in  1156 inner iterations 
 relative error value =       0.99704799E-04


  frequency number    59 frequency :       0.43875000E+00
 jw  real sour, imag sour =     59     -0.87594E+00      0.18704E+00

  global error =        0.5075175E-02 iter. number =   100 denomin. =        0.8547157E+03

  global error =        0.3953447E-02 iter. number =   200 denomin. =        0.8751382E+03

  global error =        0.3338976E-02 iter. number =   300 denomin. =        0.9035102E+03

  global error =        0.2790417E-02 iter. number =   400 denomin. =        0.9459910E+03

  global error =        0.2116732E-02 iter. number =   500 denomin. =        0.9706514E+03

  global error =        0.1544480E-02 iter. number =   600 denomin. =        0.9681068E+03

  global error =        0.9524087E-03 iter. number =   700 denomin. =        0.9390631E+03

  global error =        0.6633337E-03 iter. number =   800 denomin. =        0.9061807E+03

  global error =        0.4863761E-03 iter. number =   900 denomin. =        0.8765040E+03

  global error =        0.3296115E-03 iter. number =  1000 denomin. =        0.8524623E+03

  global error =        0.2328156E-03 iter. number =  1100 denomin. =        0.8387372E+03

  global error =        0.1641932E-03 iter. number =  1200 denomin. =        0.8352599E+03

  global error =        0.1310450E-03 iter. number =  1300 denomin. =        0.8374460E+03

  global error =        0.1016392E-03 iter. number =  1400 denomin. =        0.8424032E+03

  convergence  for freq. #    59 achieved in  1407 inner iterations 
 relative error value =       0.99853366E-04


  frequency number    58 frequency :       0.43125000E+00
 jw  real sour, imag sour =     58     -0.88783E+00      0.11267E+00

  global error =        0.5341826E-02 iter. number =   100 denomin. =        0.8773395E+03

  global error =        0.3762015E-02 iter. number =   200 denomin. =        0.8549636E+03

  global error =        0.3003285E-02 iter. number =   300 denomin. =        0.8035688E+03

  global error =        0.2244015E-02 iter. number =   400 denomin. =        0.7438241E+03

  global error =        0.1308062E-02 iter. number =   500 denomin. =        0.7077407E+03

  global error =        0.8788987E-03 iter. number =   600 denomin. =        0.6989296E+03

  global error =        0.5170569E-03 iter. number =   700 denomin. =        0.6986028E+03

  global error =        0.3378376E-03 iter. number =   800 denomin. =        0.7016896E+03

  global error =        0.2672462E-03 iter. number =   900 denomin. =        0.7012391E+03

  global error =        0.2077560E-03 iter. number =  1000 denomin. =        0.7000436E+03

  global error =        0.1589493E-03 iter. number =  1100 denomin. =        0.6991604E+03

  global error =        0.1362902E-03 iter. number =  1200 denomin. =        0.7006502E+03

  convergence  for freq. #    58 achieved in  1287 inner iterations 
 relative error value =       0.99685276E-04


  frequency number    57 frequency :       0.42375000E+00
 jw  real sour, imag sour =     57     -0.89291E+00      0.37591E-01

  global error =        0.5419680E-02 iter. number =   100 denomin. =        0.7076336E+03

  global error =        0.4178675E-02 iter. number =   200 denomin. =        0.7351319E+03

  global error =        0.3518855E-02 iter. number =   300 denomin. =        0.7817967E+03

  global error =        0.2896851E-02 iter. number =   400 denomin. =        0.8207522E+03

  global error =        0.2243191E-02 iter. number =   500 denomin. =        0.8369538E+03

  global error =        0.1509951E-02 iter. number =   600 denomin. =        0.8226323E+03

  global error =        0.8232870E-03 iter. number =   700 denomin. =        0.7936550E+03

  global error =        0.5783095E-03 iter. number =   800 denomin. =        0.7536167E+03

  global error =        0.4281099E-03 iter. number =   900 denomin. =        0.7138509E+03

  global error =        0.3326315E-03 iter. number =  1000 denomin. =        0.6804642E+03

  global error =        0.2687990E-03 iter. number =  1100 denomin. =        0.6531353E+03

  global error =        0.2257800E-03 iter. number =  1200 denomin. =        0.6324094E+03

  global error =        0.1736745E-03 iter. number =  1300 denomin. =        0.6188277E+03

  global error =        0.1354930E-03 iter. number =  1400 denomin. =        0.6109237E+03

  convergence  for freq. #    57 achieved in  1488 inner iterations 
 relative error value =       0.99888604E-04


  frequency number    56 frequency :       0.41625000E+00
 jw  real sour, imag sour =     56     -0.89113E+00     -0.37517E-01

  global error =        0.4811314E-02 iter. number =   100 denomin. =        0.6155241E+03

  global error =        0.3778151E-02 iter. number =   200 denomin. =        0.6133042E+03

  global error =        0.3082475E-02 iter. number =   300 denomin. =        0.6325496E+03

  global error =        0.2386114E-02 iter. number =   400 denomin. =        0.6585175E+03

  global error =        0.1637154E-02 iter. number =   500 denomin. =        0.6869727E+03

  global error =        0.1205307E-02 iter. number =   600 denomin. =        0.7096239E+03

  global error =        0.7110900E-03 iter. number =   700 denomin. =        0.7178956E+03

  global error =        0.5041567E-03 iter. number =   800 denomin. =        0.7084480E+03

  global error =        0.3954841E-03 iter. number =   900 denomin. =        0.6953538E+03

  global error =        0.3319290E-03 iter. number =  1000 denomin. =        0.6817827E+03

  global error =        0.2605383E-03 iter. number =  1100 denomin. =        0.6698213E+03

  global error =        0.1878624E-03 iter. number =  1200 denomin. =        0.6580933E+03

  global error =        0.1439686E-03 iter. number =  1300 denomin. =        0.6469456E+03

  convergence  for freq. #    56 achieved in  1399 inner iterations 
 relative error value =       0.99806023E-04


  frequency number    55 frequency :       0.40875000E+00
 jw  real sour, imag sour =     55     -0.88252E+00     -0.11199E+00

  global error =        0.4865510E-02 iter. number =   100 denomin. =        0.6447068E+03

  global error =        0.3872926E-02 iter. number =   200 denomin. =        0.6097960E+03

  global error =        0.3070368E-02 iter. number =   300 denomin. =        0.5809184E+03

  global error =        0.2382265E-02 iter. number =   400 denomin. =        0.5623775E+03

  global error =        0.1687869E-02 iter. number =   500 denomin. =        0.5561118E+03

  global error =        0.1243414E-02 iter. number =   600 denomin. =        0.5744463E+03

  global error =        0.1010378E-02 iter. number =   700 denomin. =        0.6105476E+03

  global error =        0.7579203E-03 iter. number =   800 denomin. =        0.6490356E+03

  global error =        0.5193776E-03 iter. number =   900 denomin. =        0.6736150E+03

  global error =        0.3639174E-03 iter. number =  1000 denomin. =        0.6803073E+03

  global error =        0.2604583E-03 iter. number =  1100 denomin. =        0.6738176E+03

  global error =        0.2045523E-03 iter. number =  1200 denomin. =        0.6655142E+03

  global error =        0.1569416E-03 iter. number =  1300 denomin. =        0.6617889E+03

  global error =        0.1237134E-03 iter. number =  1400 denomin. =        0.6627152E+03

  convergence  for freq. #    55 achieved in  1479 inner iterations 
 relative error value =       0.99729802E-04


  frequency number    54 frequency :       0.40125000E+00
 jw  real sour, imag sour =     54     -0.86719E+00     -0.18517E+00

  global error =        0.4734901E-02 iter. number =   100 denomin. =        0.6974098E+03

  global error =        0.3996323E-02 iter. number =   200 denomin. =        0.7281206E+03

  global error =        0.3245420E-02 iter. number =   300 denomin. =        0.7615191E+03

  global error =        0.2510574E-02 iter. number =   400 denomin. =        0.7838095E+03

  global error =        0.1692038E-02 iter. number =   500 denomin. =        0.7779052E+03

  global error =        0.1158726E-02 iter. number =   600 denomin. =        0.7481087E+03

  global error =        0.7748109E-03 iter. number =   700 denomin. =        0.7003129E+03

  global error =        0.5838805E-03 iter. number =   800 denomin. =        0.6541742E+03

  global error =        0.4604519E-03 iter. number =   900 denomin. =        0.6203514E+03

  global error =        0.3181103E-03 iter. number =  1000 denomin. =        0.6032190E+03

  global error =        0.2156118E-03 iter. number =  1100 denomin. =        0.6013018E+03

  global error =        0.1525740E-03 iter. number =  1200 denomin. =        0.6063249E+03

  global error =        0.1074721E-03 iter. number =  1300 denomin. =        0.6128123E+03

  convergence  for freq. #    54 achieved in  1320 inner iterations 
 relative error value =       0.99800323E-04


  frequency number    53 frequency :       0.39375000E+00
 jw  real sour, imag sour =     53     -0.84529E+00     -0.25642E+00

  global error =        0.4872661E-02 iter. number =   100 denomin. =        0.6353575E+03

  global error =        0.3835824E-02 iter. number =   200 denomin. =        0.6296528E+03

  global error =        0.2908923E-02 iter. number =   300 denomin. =        0.6235676E+03

  global error =        0.2003955E-02 iter. number =   400 denomin. =        0.6300480E+03

  global error =        0.1315259E-02 iter. number =   500 denomin. =        0.6607109E+03

  global error =        0.1015943E-02 iter. number =   600 denomin. =        0.7140082E+03

  global error =        0.8557130E-03 iter. number =   700 denomin. =        0.7705697E+03

  global error =        0.6047029E-03 iter. number =   800 denomin. =        0.8115561E+03

  global error =        0.3077317E-03 iter. number =   900 denomin. =        0.8274927E+03

  global error =        0.2140079E-03 iter. number =  1000 denomin. =        0.8328408E+03

  global error =        0.1898860E-03 iter. number =  1100 denomin. =        0.8388036E+03

  global error =        0.1537586E-03 iter. number =  1200 denomin. =        0.8462707E+03

  global error =        0.1171569E-03 iter. number =  1300 denomin. =        0.8506453E+03

  convergence  for freq. #    53 achieved in  1351 inner iterations 
 relative error value =       0.99789664E-04


  frequency number    52 frequency :       0.38625000E+00
 jw  real sour, imag sour =     52     -0.81706E+00     -0.32509E+00

  global error =        0.5154250E-02 iter. number =   100 denomin. =        0.8701636E+03

  global error =        0.4124698E-02 iter. number =   200 denomin. =        0.8659822E+03

  global error =        0.3470397E-02 iter. number =   300 denomin. =        0.8723038E+03

  global error =        0.2873190E-02 iter. number =   400 denomin. =        0.8749777E+03

  global error =        0.2250859E-02 iter. number =   500 denomin. =        0.8618896E+03

  global error =        0.1550522E-02 iter. number =   600 denomin. =        0.8315876E+03

  global error =        0.8282058E-03 iter. number =   700 denomin. =        0.8073415E+03

  global error =        0.5515300E-03 iter. number =   800 denomin. =        0.7968672E+03

  global error =        0.3981882E-03 iter. number =   900 denomin. =        0.7881566E+03

  global error =        0.2767538E-03 iter. number =  1000 denomin. =        0.7807065E+03

  global error =        0.1840852E-03 iter. number =  1100 denomin. =        0.7810294E+03

  global error =        0.1300766E-03 iter. number =  1200 denomin. =        0.7860273E+03

  global error =        0.1104974E-03 iter. number =  1300 denomin. =        0.7908277E+03

  convergence  for freq. #    52 achieved in  1360 inner iterations 
 relative error value =       0.99861590E-04


  frequency number    51 frequency :       0.37875000E+00
 jw  real sour, imag sour =     51     -0.78279E+00     -0.39059E+00

  global error =        0.5078075E-02 iter. number =   100 denomin. =        0.8185124E+03

  global error =        0.3792258E-02 iter. number =   200 denomin. =        0.7900424E+03

  global error =        0.3065144E-02 iter. number =   300 denomin. =        0.7561533E+03

  global error =        0.2363237E-02 iter. number =   400 denomin. =        0.7358007E+03

  global error =        0.1717304E-02 iter. number =   500 denomin. =        0.7389454E+03

  global error =        0.1337785E-02 iter. number =   600 denomin. =        0.7553633E+03

  global error =        0.7773383E-03 iter. number =   700 denomin. =        0.7725317E+03

  global error =        0.4763981E-03 iter. number =   800 denomin. =        0.7961814E+03

  global error =        0.3326318E-03 iter. number =   900 denomin. =        0.8225693E+03

  global error =        0.2228567E-03 iter. number =  1000 denomin. =        0.8477078E+03

  global error =        0.1792857E-03 iter. number =  1100 denomin. =        0.8694779E+03

  global error =        0.1442000E-03 iter. number =  1200 denomin. =        0.8880406E+03

  global error =        0.1221704E-03 iter. number =  1300 denomin. =        0.9033648E+03

  convergence  for freq. #    51 achieved in  1385 inner iterations 
 relative error value =       0.99833848E-04


  frequency number    50 frequency :       0.37125000E+00
 jw  real sour, imag sour =     50     -0.74284E+00     -0.45235E+00

  global error =        0.5582879E-02 iter. number =   100 denomin. =        0.9568165E+03

  global error =        0.4272038E-02 iter. number =   200 denomin. =        0.9157435E+03

  global error =        0.3701667E-02 iter. number =   300 denomin. =        0.8212389E+03

  global error =        0.3202371E-02 iter. number =   400 denomin. =        0.7221056E+03

  global error =        0.2487173E-02 iter. number =   500 denomin. =        0.6304697E+03

  global error =        0.1852035E-02 iter. number =   600 denomin. =        0.5577439E+03

  global error =        0.1253943E-02 iter. number =   700 denomin. =        0.5154335E+03

  global error =        0.9894501E-03 iter. number =   800 denomin. =        0.5014036E+03

  global error =        0.7452287E-03 iter. number =   900 denomin. =        0.5103597E+03

  global error =        0.5585367E-03 iter. number =  1000 denomin. =        0.5331520E+03

  global error =        0.4288658E-03 iter. number =  1100 denomin. =        0.5537177E+03

  global error =        0.2912815E-03 iter. number =  1200 denomin. =        0.5672203E+03

  global error =        0.1964392E-03 iter. number =  1300 denomin. =        0.5717838E+03

  global error =        0.1324173E-03 iter. number =  1400 denomin. =        0.5690725E+03

  global error =        0.1097985E-03 iter. number =  1500 denomin. =        0.5622645E+03

  convergence  for freq. #    50 achieved in  1569 inner iterations 
 relative error value =       0.99999184E-04


  frequency number    49 frequency :       0.36375000E+00
 jw  real sour, imag sour =     49     -0.69763E+00     -0.50985E+00

  global error =        0.5576040E-02 iter. number =   100 denomin. =        0.5696917E+03

  global error =        0.4077491E-02 iter. number =   200 denomin. =        0.6090755E+03

  global error =        0.3399707E-02 iter. number =   300 denomin. =        0.6679589E+03

  global error =        0.2799640E-02 iter. number =   400 denomin. =        0.7286220E+03

  global error =        0.2088124E-02 iter. number =   500 denomin. =        0.7709942E+03

  global error =        0.1571052E-02 iter. number =   600 denomin. =        0.7829826E+03

  global error =        0.1071845E-02 iter. number =   700 denomin. =        0.7602994E+03

  global error =        0.9167047E-03 iter. number =   800 denomin. =        0.7100195E+03

  global error =        0.7909723E-03 iter. number =   900 denomin. =        0.6518656E+03

  global error =        0.7083495E-03 iter. number =  1000 denomin. =        0.5974378E+03

  global error =        0.5972100E-03 iter. number =  1100 denomin. =        0.5487869E+03

  global error =        0.4703535E-03 iter. number =  1200 denomin. =        0.5110894E+03

  global error =        0.3855551E-03 iter. number =  1300 denomin. =        0.4868237E+03

  global error =        0.3019603E-03 iter. number =  1400 denomin. =        0.4734500E+03

  global error =        0.2449605E-03 iter. number =  1500 denomin. =        0.4690139E+03

  global error =        0.1989408E-03 iter. number =  1600 denomin. =        0.4702295E+03

  global error =        0.1607039E-03 iter. number =  1700 denomin. =        0.4749332E+03

  global error =        0.1310981E-03 iter. number =  1800 denomin. =        0.4812085E+03

  global error =        0.1038682E-03 iter. number =  1900 denomin. =        0.4876230E+03

  convergence  for freq. #    49 achieved in  1917 inner iterations 
 relative error value =       0.99781806E-04


  frequency number    48 frequency :       0.35625000E+00
 jw  real sour, imag sour =     48     -0.64760E+00     -0.56259E+00

  global error =        0.5169090E-02 iter. number =   100 denomin. =        0.5002019E+03

  global error =        0.3821486E-02 iter. number =   200 denomin. =        0.4994507E+03

  global error =        0.3045622E-02 iter. number =   300 denomin. =        0.5218647E+03

  global error =        0.2348449E-02 iter. number =   400 denomin. =        0.5546067E+03

  global error =        0.1641474E-02 iter. number =   500 denomin. =        0.6001920E+03

  global error =        0.1221769E-02 iter. number =   600 denomin. =        0.6523733E+03

  global error =        0.8838463E-03 iter. number =   700 denomin. =        0.6987060E+03

  global error =        0.6572839E-03 iter. number =   800 denomin. =        0.7279031E+03

  global error =        0.5490110E-03 iter. number =   900 denomin. =        0.7414987E+03

  global error =        0.4367771E-03 iter. number =  1000 denomin. =        0.7441788E+03

  global error =        0.3050114E-03 iter. number =  1100 denomin. =        0.7432865E+03

  global error =        0.2028369E-03 iter. number =  1200 denomin. =        0.7431564E+03

  global error =        0.1606094E-03 iter. number =  1300 denomin. =        0.7442085E+03

  global error =        0.1341263E-03 iter. number =  1400 denomin. =        0.7453111E+03

  global error =        0.1140010E-03 iter. number =  1500 denomin. =        0.7449517E+03

  convergence  for freq. #    48 achieved in  1569 inner iterations 
 relative error value =       0.99970777E-04


  frequency number    47 frequency :       0.34875000E+00
 jw  real sour, imag sour =     47     -0.59328E+00     -0.61016E+00

  global error =        0.5156858E-02 iter. number =   100 denomin. =        0.7622714E+03

  global error =        0.4288246E-02 iter. number =   200 denomin. =        0.7385636E+03

  global error =        0.3643286E-02 iter. number =   300 denomin. =        0.7105900E+03

  global error =        0.2966766E-02 iter. number =   400 denomin. =        0.6632408E+03

  global error =        0.2264244E-02 iter. number =   500 denomin. =        0.6097526E+03

  global error =        0.1725485E-02 iter. number =   600 denomin. =        0.5684358E+03

  global error =        0.1366791E-02 iter. number =   700 denomin. =        0.5535028E+03

  global error =        0.1118386E-02 iter. number =   800 denomin. =        0.5691317E+03

  global error =        0.7940594E-03 iter. number =   900 denomin. =        0.5993136E+03

  global error =        0.6125509E-03 iter. number =  1000 denomin. =        0.6242545E+03

  global error =        0.5053001E-03 iter. number =  1100 denomin. =        0.6343174E+03

  global error =        0.4210595E-03 iter. number =  1200 denomin. =        0.6302148E+03

  global error =        0.3306239E-03 iter. number =  1300 denomin. =        0.6186896E+03

  global error =        0.2510143E-03 iter. number =  1400 denomin. =        0.6078522E+03

  global error =        0.2029572E-03 iter. number =  1500 denomin. =        0.6027486E+03

  global error =        0.1551185E-03 iter. number =  1600 denomin. =        0.6035218E+03

  global error =        0.1214925E-03 iter. number =  1700 denomin. =        0.6075358E+03

  convergence  for freq. #    47 achieved in  1797 inner iterations 
 relative error value =       0.99909018E-04


  frequency number    46 frequency :       0.34125000E+00
 jw  real sour, imag sour =     46     -0.53521E+00     -0.65216E+00

  global error =        0.4510656E-02 iter. number =   100 denomin. =        0.6390663E+03

  global error =        0.3766771E-02 iter. number =   200 denomin. =        0.6508975E+03

  global error =        0.2915022E-02 iter. number =   300 denomin. =        0.6667867E+03

  global error =        0.2127123E-02 iter. number =   400 denomin. =        0.6848502E+03

  global error =        0.1420339E-02 iter. number =   500 denomin. =        0.6973560E+03

  global error =        0.9555157E-03 iter. number =   600 denomin. =        0.7048215E+03

  global error =        0.6313649E-03 iter. number =   700 denomin. =        0.7027192E+03

  global error =        0.4198569E-03 iter. number =   800 denomin. =        0.6983245E+03

  global error =        0.2843950E-03 iter. number =   900 denomin. =        0.6944970E+03

  global error =        0.2178737E-03 iter. number =  1000 denomin. =        0.6958051E+03

  global error =        0.1607527E-03 iter. number =  1100 denomin. =        0.7002972E+03

  global error =        0.1025804E-03 iter. number =  1200 denomin. =        0.7031836E+03

  convergence  for freq. #    46 achieved in  1206 inner iterations 
 relative error value =       0.99539918E-04


  frequency number    45 frequency :       0.33375000E+00
 jw  real sour, imag sour =     45     -0.47399E+00     -0.68828E+00

  global error =        0.4887914E-02 iter. number =   100 denomin. =        0.7247748E+03

  global error =        0.4140358E-02 iter. number =   200 denomin. =        0.7086394E+03

  global error =        0.3359712E-02 iter. number =   300 denomin. =        0.6810029E+03

  global error =        0.2527355E-02 iter. number =   400 denomin. =        0.6530040E+03

  global error =        0.1635928E-02 iter. number =   500 denomin. =        0.6305385E+03

  global error =        0.1028138E-02 iter. number =   600 denomin. =        0.6212827E+03

  global error =        0.7999148E-03 iter. number =   700 denomin. =        0.6269540E+03

  global error =        0.6032449E-03 iter. number =   800 denomin. =        0.6356137E+03

  global error =        0.3286716E-03 iter. number =   900 denomin. =        0.6301609E+03

  global error =        0.2481437E-03 iter. number =  1000 denomin. =        0.6145119E+03

  global error =        0.2220211E-03 iter. number =  1100 denomin. =        0.5997946E+03

  global error =        0.1720631E-03 iter. number =  1200 denomin. =        0.5898748E+03

  global error =        0.1286318E-03 iter. number =  1300 denomin. =        0.5848978E+03

  global error =        0.1156281E-03 iter. number =  1400 denomin. =        0.5812173E+03

  convergence  for freq. #    45 achieved in  1480 inner iterations 
 relative error value =       0.99962692E-04


  frequency number    44 frequency :       0.32625000E+00
 jw  real sour, imag sour =     44     -0.41023E+00     -0.71827E+00

  global error =        0.5032865E-02 iter. number =   100 denomin. =        0.5886831E+03

  global error =        0.3974954E-02 iter. number =   200 denomin. =        0.5800301E+03

  global error =        0.3239623E-02 iter. number =   300 denomin. =        0.5856880E+03

  global error =        0.2579316E-02 iter. number =   400 denomin. =        0.6014694E+03

  global error =        0.2003562E-02 iter. number =   500 denomin. =        0.6186289E+03

  global error =        0.1426261E-02 iter. number =   600 denomin. =        0.6322433E+03

  global error =        0.7698274E-03 iter. number =   700 denomin. =        0.6473156E+03

  global error =        0.5740353E-03 iter. number =   800 denomin. =        0.6606098E+03

  global error =        0.4266583E-03 iter. number =   900 denomin. =        0.6644818E+03

  global error =        0.3492407E-03 iter. number =  1000 denomin. =        0.6602906E+03

  global error =        0.2948378E-03 iter. number =  1100 denomin. =        0.6559700E+03

  global error =        0.2537988E-03 iter. number =  1200 denomin. =        0.6538774E+03

  global error =        0.2019940E-03 iter. number =  1300 denomin. =        0.6515362E+03

  global error =        0.1302798E-03 iter. number =  1400 denomin. =        0.6484268E+03

  global error =        0.1011651E-03 iter. number =  1500 denomin. =        0.6449581E+03

  convergence  for freq. #    44 achieved in  1506 inner iterations 
 relative error value =       0.99953931E-04


  frequency number    43 frequency :       0.31875000E+00
 jw  real sour, imag sour =     43     -0.34457E+00     -0.74195E+00

  global error =        0.5500146E-02 iter. number =   100 denomin. =        0.6567136E+03

  global error =        0.4133493E-02 iter. number =   200 denomin. =        0.6027921E+03

  global error =        0.3419641E-02 iter. number =   300 denomin. =        0.5496656E+03

  global error =        0.2703094E-02 iter. number =   400 denomin. =        0.5257496E+03

  global error =        0.1885121E-02 iter. number =   500 denomin. =        0.5348922E+03

  global error =        0.1437352E-02 iter. number =   600 denomin. =        0.5693087E+03

  global error =        0.9579662E-03 iter. number =   700 denomin. =        0.6132836E+03

  global error =        0.6807626E-03 iter. number =   800 denomin. =        0.6640305E+03

  global error =        0.5465454E-03 iter. number =   900 denomin. =        0.7150332E+03

  global error =        0.4546438E-03 iter. number =  1000 denomin. =        0.7587967E+03

  global error =        0.3778776E-03 iter. number =  1100 denomin. =        0.7950438E+03

  global error =        0.2712297E-03 iter. number =  1200 denomin. =        0.8232270E+03

  global error =        0.2019486E-03 iter. number =  1300 denomin. =        0.8452671E+03

  global error =        0.1457759E-03 iter. number =  1400 denomin. =        0.8634862E+03

  global error =        0.1061151E-03 iter. number =  1500 denomin. =        0.8787671E+03

  convergence  for freq. #    43 achieved in  1552 inner iterations 
 relative error value =       0.99984691E-04


  frequency number    42 frequency :       0.31125000E+00
 jw  real sour, imag sour =     42     -0.27766E+00     -0.75918E+00

  global error =        0.6028927E-02 iter. number =   100 denomin. =        0.9451775E+03

  global error =        0.4574432E-02 iter. number =   200 denomin. =        0.9107686E+03

  global error =        0.4181557E-02 iter. number =   300 denomin. =        0.8182542E+03

  global error =        0.3872590E-02 iter. number =   400 denomin. =        0.7033816E+03

  global error =        0.3407872E-02 iter. number =   500 denomin. =        0.5802084E+03

  global error =        0.2922092E-02 iter. number =   600 denomin. =        0.4631939E+03

  global error =        0.2528906E-02 iter. number =   700 denomin. =        0.3764852E+03

  global error =        0.2287464E-02 iter. number =   800 denomin. =        0.3309104E+03

  global error =        0.1807667E-02 iter. number =   900 denomin. =        0.3296584E+03

  global error =        0.1445897E-02 iter. number =  1000 denomin. =        0.3578600E+03

  global error =        0.1114351E-02 iter. number =  1100 denomin. =        0.3907404E+03

  global error =        0.8490456E-03 iter. number =  1200 denomin. =        0.4140470E+03

  global error =        0.6687595E-03 iter. number =  1300 denomin. =        0.4206998E+03

  global error =        0.5438383E-03 iter. number =  1400 denomin. =        0.4125976E+03

  global error =        0.4765911E-03 iter. number =  1500 denomin. =        0.3968306E+03

  global error =        0.3954484E-03 iter. number =  1600 denomin. =        0.3807649E+03

  global error =        0.3241049E-03 iter. number =  1700 denomin. =        0.3695361E+03

  global error =        0.2568427E-03 iter. number =  1800 denomin. =        0.3649182E+03

  global error =        0.2017954E-03 iter. number =  1900 denomin. =        0.3661014E+03

  global error =        0.1634705E-03 iter. number =  2000 denomin. =        0.3703667E+03

  global error =        0.1330544E-03 iter. number =  2100 denomin. =        0.3751336E+03

  global error =        0.1111606E-03 iter. number =  2200 denomin. =        0.3785375E+03

  convergence  for freq. #    42 achieved in  2255 inner iterations 
 relative error value =       0.99860805E-04


  frequency number    41 frequency :       0.30375000E+00
 jw  real sour, imag sour =     41     -0.21017E+00     -0.76993E+00

  global error =        0.5431789E-02 iter. number =   100 denomin. =        0.3939347E+03

  global error =        0.3784412E-02 iter. number =   200 denomin. =        0.4276270E+03

  global error =        0.3002591E-02 iter. number =   300 denomin. =        0.4848949E+03

  global error =        0.2428233E-02 iter. number =   400 denomin. =        0.5498760E+03

  global error =        0.1803730E-02 iter. number =   500 denomin. =        0.6110938E+03

  global error =        0.1404836E-02 iter. number =   600 denomin. =        0.6550892E+03

  global error =        0.1114477E-02 iter. number =   700 denomin. =        0.6787925E+03

  global error =        0.8705389E-03 iter. number =   800 denomin. =        0.6782038E+03

  global error =        0.7026871E-03 iter. number =   900 denomin. =        0.6602662E+03

  global error =        0.5611092E-03 iter. number =  1000 denomin. =        0.6332211E+03

  global error =        0.4336387E-03 iter. number =  1100 denomin. =        0.6024496E+03

  global error =        0.3690150E-03 iter. number =  1200 denomin. =        0.5735163E+03

  global error =        0.3187724E-03 iter. number =  1300 denomin. =        0.5486749E+03

  global error =        0.2802114E-03 iter. number =  1400 denomin. =        0.5276690E+03

  global error =        0.2299461E-03 iter. number =  1500 denomin. =        0.5114754E+03

  global error =        0.1802457E-03 iter. number =  1600 denomin. =        0.5003394E+03

  global error =        0.1458012E-03 iter. number =  1700 denomin. =        0.4935061E+03

  global error =        0.1133143E-03 iter. number =  1800 denomin. =        0.4902671E+03

  convergence  for freq. #    41 achieved in  1869 inner iterations 
 relative error value =       0.99891858E-04


  frequency number    40 frequency :       0.29625000E+00
 jw  real sour, imag sour =     40     -0.14274E+00     -0.77421E+00

  global error =        0.5248436E-02 iter. number =   100 denomin. =        0.5015945E+03

  global error =        0.3994438E-02 iter. number =   200 denomin. =        0.4952603E+03

  global error =        0.3283660E-02 iter. number =   300 denomin. =        0.5002044E+03

  global error =        0.2634300E-02 iter. number =   400 denomin. =        0.5031645E+03

  global error =        0.1979127E-02 iter. number =   500 denomin. =        0.5143063E+03

  global error =        0.1511381E-02 iter. number =   600 denomin. =        0.5406835E+03

  global error =        0.1060456E-02 iter. number =   700 denomin. =        0.5739120E+03

  global error =        0.8060208E-03 iter. number =   800 denomin. =        0.5995771E+03

  global error =        0.6784707E-03 iter. number =   900 denomin. =        0.6096448E+03

  global error =        0.5853243E-03 iter. number =  1000 denomin. =        0.6047119E+03

  global error =        0.5044977E-03 iter. number =  1100 denomin. =        0.5946007E+03

  global error =        0.3986127E-03 iter. number =  1200 denomin. =        0.5868111E+03

  global error =        0.3133928E-03 iter. number =  1300 denomin. =        0.5840903E+03

  global error =        0.2349400E-03 iter. number =  1400 denomin. =        0.5847459E+03

  global error =        0.1925281E-03 iter. number =  1500 denomin. =        0.5850237E+03

  global error =        0.1666765E-03 iter. number =  1600 denomin. =        0.5830220E+03

  global error =        0.1398856E-03 iter. number =  1700 denomin. =        0.5795605E+03

  global error =        0.1209270E-03 iter. number =  1800 denomin. =        0.5765985E+03

  convergence  for freq. #    40 achieved in  1893 inner iterations 
 relative error value =       0.99790593E-04


  frequency number    39 frequency :       0.28875000E+00
 jw  real sour, imag sour =     39     -0.76048E-01     -0.77212E+00

  global error =        0.4776446E-02 iter. number =   100 denomin. =        0.5974831E+03

  global error =        0.4117561E-02 iter. number =   200 denomin. =        0.5953732E+03

  global error =        0.3426078E-02 iter. number =   300 denomin. =        0.5931411E+03

  global error =        0.2695273E-02 iter. number =   400 denomin. =        0.5850646E+03

  global error =        0.1962352E-02 iter. number =   500 denomin. =        0.5683868E+03

  global error =        0.1418983E-02 iter. number =   600 denomin. =        0.5517129E+03

  global error =        0.9911207E-03 iter. number =   700 denomin. =        0.5359551E+03

  global error =        0.7435216E-03 iter. number =   800 denomin. =        0.5259218E+03

  global error =        0.4998298E-03 iter. number =   900 denomin. =        0.5265867E+03

  global error =        0.3866967E-03 iter. number =  1000 denomin. =        0.5320978E+03

  global error =        0.3203679E-03 iter. number =  1100 denomin. =        0.5351442E+03

  global error =        0.2667223E-03 iter. number =  1200 denomin. =        0.5342291E+03

  global error =        0.2119332E-03 iter. number =  1300 denomin. =        0.5309879E+03

  global error =        0.1544770E-03 iter. number =  1400 denomin. =        0.5269602E+03

  global error =        0.1238616E-03 iter. number =  1500 denomin. =        0.5233437E+03

  convergence  for freq. #    39 achieved in  1574 inner iterations 
 relative error value =       0.99926030E-04


  frequency number    38 frequency :       0.28125000E+00
 jw  real sour, imag sour =     38     -0.10714E-01     -0.76381E+00

  global error =        0.4581739E-02 iter. number =   100 denomin. =        0.5410206E+03

  global error =        0.3995992E-02 iter. number =   200 denomin. =        0.5347519E+03

  global error =        0.3222665E-02 iter. number =   300 denomin. =        0.5303550E+03

  global error =        0.2422732E-02 iter. number =   400 denomin. =        0.5278736E+03

  global error =        0.1599040E-02 iter. number =   500 denomin. =        0.5192801E+03

  global error =        0.1005714E-02 iter. number =   600 denomin. =        0.5154620E+03

  global error =        0.7249961E-03 iter. number =   700 denomin. =        0.5167020E+03

  global error =        0.5835040E-03 iter. number =   800 denomin. =        0.5271688E+03

  global error =        0.3744137E-03 iter. number =   900 denomin. =        0.5413306E+03

  global error =        0.2647839E-03 iter. number =  1000 denomin. =        0.5530131E+03

  global error =        0.2083945E-03 iter. number =  1100 denomin. =        0.5620126E+03

  global error =        0.1373285E-03 iter. number =  1200 denomin. =        0.5664796E+03

  convergence  for freq. #    38 achieved in  1294 inner iterations 
 relative error value =       0.99984085E-04


  frequency number    37 frequency :       0.27375000E+00
 jw  real sour, imag sour =     37      0.52644E-01     -0.74950E+00

  global error =        0.5199858E-02 iter. number =   100 denomin. =        0.5945913E+03

  global error =        0.4318926E-02 iter. number =   200 denomin. =        0.5787810E+03

  global error =        0.3603772E-02 iter. number =   300 denomin. =        0.5394888E+03

  global error =        0.2773208E-02 iter. number =   400 denomin. =        0.4944630E+03

  global error =        0.1920976E-02 iter. number =   500 denomin. =        0.4470453E+03

  global error =        0.1347102E-02 iter. number =   600 denomin. =        0.4081254E+03

  global error =        0.1056183E-02 iter. number =   700 denomin. =        0.3821809E+03

  global error =        0.8558687E-03 iter. number =   800 denomin. =        0.3603155E+03

  global error =        0.6810316E-03 iter. number =   900 denomin. =        0.3321809E+03

  global error =        0.5486029E-03 iter. number =  1000 denomin. =        0.3081271E+03

  global error =        0.4042554E-03 iter. number =  1100 denomin. =        0.2938906E+03

  global error =        0.2822657E-03 iter. number =  1200 denomin. =        0.2877413E+03

  global error =        0.1916488E-03 iter. number =  1300 denomin. =        0.2867877E+03

  global error =        0.1593864E-03 iter. number =  1400 denomin. =        0.2885603E+03

  global error =        0.1357420E-03 iter. number =  1500 denomin. =        0.2914495E+03

  global error =        0.1243281E-03 iter. number =  1600 denomin. =        0.2955746E+03

  convergence  for freq. #    37 achieved in  1691 inner iterations 
 relative error value =       0.99822388E-04


  frequency number    36 frequency :       0.26625000E+00
 jw  real sour, imag sour =     36      0.11344E+00     -0.72948E+00

  global error =        0.5380462E-02 iter. number =   100 denomin. =        0.3056471E+03

  global error =        0.3930219E-02 iter. number =   200 denomin. =        0.3044889E+03

  global error =        0.3021908E-02 iter. number =   300 denomin. =        0.3223628E+03

  global error =        0.2395882E-02 iter. number =   400 denomin. =        0.3576391E+03

  global error =        0.1790121E-02 iter. number =   500 denomin. =        0.4008869E+03

  global error =        0.1293871E-02 iter. number =   600 denomin. =        0.4436961E+03

  global error =        0.1048778E-02 iter. number =   700 denomin. =        0.4865762E+03

  global error =        0.8289650E-03 iter. number =   800 denomin. =        0.5224663E+03

  global error =        0.5510226E-03 iter. number =   900 denomin. =        0.5447739E+03

  global error =        0.4445295E-03 iter. number =  1000 denomin. =        0.5609808E+03

  global error =        0.3819328E-03 iter. number =  1100 denomin. =        0.5745445E+03

  global error =        0.3330638E-03 iter. number =  1200 denomin. =        0.5848969E+03

  global error =        0.2521893E-03 iter. number =  1300 denomin. =        0.5921225E+03

  global error =        0.2088393E-03 iter. number =  1400 denomin. =        0.5973573E+03

  global error =        0.1730473E-03 iter. number =  1500 denomin. =        0.6000340E+03

  global error =        0.1256721E-03 iter. number =  1600 denomin. =        0.6001072E+03

  global error =        0.1106918E-03 iter. number =  1700 denomin. =        0.5992271E+03

  convergence  for freq. #    36 achieved in  1772 inner iterations 
 relative error value =       0.99999276E-04


  frequency number    35 frequency :       0.25875000E+00
 jw  real sour, imag sour =     35      0.17113E+00     -0.70410E+00

  global error =        0.6122481E-02 iter. number =   100 denomin. =        0.6093566E+03

  global error =        0.4677319E-02 iter. number =   200 denomin. =        0.5447916E+03

  global error =        0.4265767E-02 iter. number =   300 denomin. =        0.4692890E+03

  global error =        0.3894786E-02 iter. number =   400 denomin. =        0.3908473E+03

  global error =        0.3278772E-02 iter. number =   500 denomin. =        0.3402958E+03

  global error =        0.2805403E-02 iter. number =   600 denomin. =        0.3261368E+03

  global error =        0.2083497E-02 iter. number =   700 denomin. =        0.3420601E+03

  global error =        0.1478669E-02 iter. number =   800 denomin. =        0.3777062E+03

  global error =        0.1185467E-02 iter. number =   900 denomin. =        0.4157494E+03

  global error =        0.1007633E-02 iter. number =  1000 denomin. =        0.4451220E+03

  global error =        0.7918092E-03 iter. number =  1100 denomin. =        0.4624969E+03

  global error =        0.5920560E-03 iter. number =  1200 denomin. =        0.4679829E+03

  global error =        0.4816430E-03 iter. number =  1300 denomin. =        0.4688742E+03

  global error =        0.3772384E-03 iter. number =  1400 denomin. =        0.4703100E+03

  global error =        0.2918264E-03 iter. number =  1500 denomin. =        0.4750224E+03

  global error =        0.2467969E-03 iter. number =  1600 denomin. =        0.4826907E+03

  global error =        0.2161335E-03 iter. number =  1700 denomin. =        0.4906881E+03

  global error =        0.1744296E-03 iter. number =  1800 denomin. =        0.4973553E+03

  global error =        0.1332501E-03 iter. number =  1900 denomin. =        0.5011554E+03

  global error =        0.1047496E-03 iter. number =  2000 denomin. =        0.5025034E+03

  convergence  for freq. #    35 achieved in  2021 inner iterations 
 relative error value =       0.99834962E-04


  frequency number    34 frequency :       0.25125000E+00
 jw  real sour, imag sour =     34      0.22520E+00     -0.67377E+00

  global error =        0.5758902E-02 iter. number =   100 denomin. =        0.5295485E+03

  global error =        0.4431956E-02 iter. number =   200 denomin. =        0.5339861E+03

  global error =        0.3933207E-02 iter. number =   300 denomin. =        0.5290318E+03

  global error =        0.3478428E-02 iter. number =   400 denomin. =        0.5174892E+03

  global error =        0.3023603E-02 iter. number =   500 denomin. =        0.4976186E+03

  global error =        0.2417494E-02 iter. number =   600 denomin. =        0.4704806E+03

  global error =        0.1869301E-02 iter. number =   700 denomin. =        0.4387809E+03

  global error =        0.1544933E-02 iter. number =   800 denomin. =        0.4064690E+03

  global error =        0.1230205E-02 iter. number =   900 denomin. =        0.3848554E+03

  global error =        0.1074391E-02 iter. number =  1000 denomin. =        0.3800565E+03

  global error =        0.9026511E-03 iter. number =  1100 denomin. =        0.3875633E+03

  global error =        0.7585063E-03 iter. number =  1200 denomin. =        0.4026243E+03

  global error =        0.6136363E-03 iter. number =  1300 denomin. =        0.4187143E+03

  global error =        0.4854887E-03 iter. number =  1400 denomin. =        0.4309112E+03

  global error =        0.3911873E-03 iter. number =  1500 denomin. =        0.4375120E+03

  global error =        0.3036914E-03 iter. number =  1600 denomin. =        0.4380395E+03

  global error =        0.2514129E-03 iter. number =  1700 denomin. =        0.4338208E+03

  global error =        0.2099911E-03 iter. number =  1800 denomin. =        0.4278111E+03

  global error =        0.1788222E-03 iter. number =  1900 denomin. =        0.4226141E+03

  global error =        0.1505987E-03 iter. number =  2000 denomin. =        0.4189760E+03

  global error =        0.1236729E-03 iter. number =  2100 denomin. =        0.4175473E+03

  global error =        0.1018368E-03 iter. number =  2200 denomin. =        0.4179074E+03

  convergence  for freq. #    34 achieved in  2209 inner iterations 
 relative error value =       0.99897560E-04


  frequency number    33 frequency :       0.24375000E+00
 jw  real sour, imag sour =     33      0.27521E+00     -0.63892E+00

  global error =        0.5524277E-02 iter. number =   100 denomin. =        0.4525308E+03

  global error =        0.3938905E-02 iter. number =   200 denomin. =        0.4764408E+03

  global error =        0.3305790E-02 iter. number =   300 denomin. =        0.5058453E+03

  global error =        0.2823894E-02 iter. number =   400 denomin. =        0.5397816E+03

  global error =        0.2087909E-02 iter. number =   500 denomin. =        0.5546067E+03

  global error =        0.1680135E-02 iter. number =   600 denomin. =        0.5527665E+03

  global error =        0.1298456E-02 iter. number =   700 denomin. =        0.5373423E+03

  global error =        0.1014083E-02 iter. number =   800 denomin. =        0.5131881E+03

  global error =        0.7774282E-03 iter. number =   900 denomin. =        0.4803967E+03

  global error =        0.5959830E-03 iter. number =  1000 denomin. =        0.4488690E+03

  global error =        0.4962630E-03 iter. number =  1100 denomin. =        0.4238259E+03

  global error =        0.3804521E-03 iter. number =  1200 denomin. =        0.4080215E+03

  global error =        0.3308020E-03 iter. number =  1300 denomin. =        0.4003726E+03

  global error =        0.2630778E-03 iter. number =  1400 denomin. =        0.3986774E+03

  global error =        0.2105932E-03 iter. number =  1500 denomin. =        0.4011159E+03

  global error =        0.1703287E-03 iter. number =  1600 denomin. =        0.4058117E+03

  global error =        0.1305548E-03 iter. number =  1700 denomin. =        0.4112673E+03

  convergence  for freq. #    33 achieved in  1798 inner iterations 
 relative error value =       0.99810912E-04


  frequency number    32 frequency :       0.23625000E+00
 jw  real sour, imag sour =     32      0.32074E+00     -0.60007E+00

  global error =        0.5829125E-02 iter. number =   100 denomin. =        0.4357309E+03

  global error =        0.4321471E-02 iter. number =   200 denomin. =        0.4320951E+03

  global error =        0.3660299E-02 iter. number =   300 denomin. =        0.4257765E+03

  global error =        0.2967266E-02 iter. number =   400 denomin. =        0.4068090E+03

  global error =        0.2182405E-02 iter. number =   500 denomin. =        0.3831009E+03

  global error =        0.1521777E-02 iter. number =   600 denomin. =        0.3702180E+03

  global error =        0.1086110E-02 iter. number =   700 denomin. =        0.3696597E+03

  global error =        0.8336317E-03 iter. number =   800 denomin. =        0.3745117E+03

  global error =        0.7250755E-03 iter. number =   900 denomin. =        0.3701732E+03

  global error =        0.6631895E-03 iter. number =  1000 denomin. =        0.3566327E+03

  global error =        0.5590436E-03 iter. number =  1100 denomin. =        0.3434310E+03

  global error =        0.4708982E-03 iter. number =  1200 denomin. =        0.3352443E+03

  global error =        0.3372426E-03 iter. number =  1300 denomin. =        0.3330628E+03

  global error =        0.2515259E-03 iter. number =  1400 denomin. =        0.3350070E+03

  global error =        0.1905242E-03 iter. number =  1500 denomin. =        0.3368474E+03

  global error =        0.1460431E-03 iter. number =  1600 denomin. =        0.3365271E+03

  global error =        0.1334785E-03 iter. number =  1700 denomin. =        0.3351938E+03

  global error =        0.1132675E-03 iter. number =  1800 denomin. =        0.3346229E+03

  convergence  for freq. #    32 achieved in  1871 inner iterations 
 relative error value =       0.99999159E-04


  frequency number    31 frequency :       0.22875000E+00
 jw  real sour, imag sour =     31      0.36145E+00     -0.55773E+00

  global error =        0.4938395E-02 iter. number =   100 denomin. =        0.3447817E+03

  global error =        0.4229406E-02 iter. number =   200 denomin. =        0.3409835E+03

  global error =        0.3490002E-02 iter. number =   300 denomin. =        0.3403912E+03

  global error =        0.2702626E-02 iter. number =   400 denomin. =        0.3392517E+03

  global error =        0.1927130E-02 iter. number =   500 denomin. =        0.3331861E+03

  global error =        0.1440506E-02 iter. number =   600 denomin. =        0.3245539E+03

  global error =        0.1069868E-02 iter. number =   700 denomin. =        0.3168171E+03

  global error =        0.7872829E-03 iter. number =   800 denomin. =        0.3141431E+03

  global error =        0.4458252E-03 iter. number =   900 denomin. =        0.3147309E+03

  global error =        0.3005095E-03 iter. number =  1000 denomin. =        0.3169093E+03

  global error =        0.2468224E-03 iter. number =  1100 denomin. =        0.3192083E+03

  global error =        0.1888863E-03 iter. number =  1200 denomin. =        0.3203008E+03

  global error =        0.1579501E-03 iter. number =  1300 denomin. =        0.3207111E+03

  global error =        0.1370152E-03 iter. number =  1400 denomin. =        0.3216523E+03

  global error =        0.1016281E-03 iter. number =  1500 denomin. =        0.3230139E+03

  convergence  for freq. #    31 achieved in  1504 inner iterations 
 relative error value =       0.99863498E-04


  frequency number    30 frequency :       0.22125000E+00
 jw  real sour, imag sour =     30      0.39707E+00     -0.51249E+00

  global error =        0.5033696E-02 iter. number =   100 denomin. =        0.3367682E+03

  global error =        0.4172129E-02 iter. number =   200 denomin. =        0.3250750E+03

  global error =        0.3438728E-02 iter. number =   300 denomin. =        0.3037578E+03

  global error =        0.2653397E-02 iter. number =   400 denomin. =        0.2801886E+03

  global error =        0.1885252E-02 iter. number =   500 denomin. =        0.2595122E+03

  global error =        0.1399599E-02 iter. number =   600 denomin. =        0.2467466E+03

  global error =        0.1084570E-02 iter. number =   700 denomin. =        0.2405159E+03

  global error =        0.7865299E-03 iter. number =   800 denomin. =        0.2377759E+03

  global error =        0.4670818E-03 iter. number =   900 denomin. =        0.2342832E+03

  global error =        0.3318854E-03 iter. number =  1000 denomin. =        0.2312156E+03

  global error =        0.2761100E-03 iter. number =  1100 denomin. =        0.2292204E+03

  global error =        0.2308481E-03 iter. number =  1200 denomin. =        0.2287428E+03

  global error =        0.1924965E-03 iter. number =  1300 denomin. =        0.2287270E+03

  global error =        0.1532415E-03 iter. number =  1400 denomin. =        0.2287745E+03

  global error =        0.1049021E-03 iter. number =  1500 denomin. =        0.2289380E+03

  convergence  for freq. #    30 achieved in  1512 inner iterations 
 relative error value =       0.99726928E-04


  frequency number    29 frequency :       0.21375000E+00
 jw  real sour, imag sour =     29      0.42736E+00     -0.46493E+00

  global error =        0.5117330E-02 iter. number =   100 denomin. =        0.2372030E+03

  global error =        0.4157819E-02 iter. number =   200 denomin. =        0.2366806E+03

  global error =        0.3357220E-02 iter. number =   300 denomin. =        0.2384530E+03

  global error =        0.2595570E-02 iter. number =   400 denomin. =        0.2413657E+03

  global error =        0.1951521E-02 iter. number =   500 denomin. =        0.2414467E+03

  global error =        0.1432933E-02 iter. number =   600 denomin. =        0.2425977E+03

  global error =        0.1083997E-02 iter. number =   700 denomin. =        0.2415305E+03

  global error =        0.8522795E-03 iter. number =   800 denomin. =        0.2369273E+03

  global error =        0.5987403E-03 iter. number =   900 denomin. =        0.2248550E+03

  global error =        0.5167348E-03 iter. number =  1000 denomin. =        0.2094303E+03

  global error =        0.4569019E-03 iter. number =  1100 denomin. =        0.1964392E+03

  global error =        0.3966710E-03 iter. number =  1200 denomin. =        0.1874949E+03

  global error =        0.3057515E-03 iter. number =  1300 denomin. =        0.1812703E+03

  global error =        0.2217767E-03 iter. number =  1400 denomin. =        0.1784695E+03

  global error =        0.1735601E-03 iter. number =  1500 denomin. =        0.1779110E+03

  global error =        0.1336268E-03 iter. number =  1600 denomin. =        0.1786678E+03

  convergence  for freq. #    29 achieved in  1695 inner iterations 
 relative error value =       0.99812819E-04


  frequency number    28 frequency :       0.20625000E+00
 jw  real sour, imag sour =     28      0.45218E+00     -0.41565E+00

  global error =        0.5529550E-02 iter. number =   100 denomin. =        0.1914451E+03

  global error =        0.3916583E-02 iter. number =   200 denomin. =        0.1972217E+03

  global error =        0.3010208E-02 iter. number =   300 denomin. =        0.2127717E+03

  global error =        0.2403714E-02 iter. number =   400 denomin. =        0.2394273E+03

  global error =        0.1895089E-02 iter. number =   500 denomin. =        0.2719645E+03

  global error =        0.1509738E-02 iter. number =   600 denomin. =        0.3051866E+03

  global error =        0.1091775E-02 iter. number =   700 denomin. =        0.3319623E+03

  global error =        0.8290138E-03 iter. number =   800 denomin. =        0.3483121E+03

  global error =        0.6067133E-03 iter. number =   900 denomin. =        0.3546553E+03

  global error =        0.5175959E-03 iter. number =  1000 denomin. =        0.3558091E+03

  global error =        0.4665485E-03 iter. number =  1100 denomin. =        0.3537275E+03

  global error =        0.3770717E-03 iter. number =  1200 denomin. =        0.3481870E+03

  global error =        0.3190879E-03 iter. number =  1300 denomin. =        0.3417518E+03

  global error =        0.2580436E-03 iter. number =  1400 denomin. =        0.3352494E+03

  global error =        0.2192861E-03 iter. number =  1500 denomin. =        0.3288149E+03

  global error =        0.1803139E-03 iter. number =  1600 denomin. =        0.3220641E+03

  global error =        0.1450506E-03 iter. number =  1700 denomin. =        0.3156746E+03

  global error =        0.1242891E-03 iter. number =  1800 denomin. =        0.3099271E+03

  global error =        0.1007375E-03 iter. number =  1900 denomin. =        0.3048575E+03

  convergence  for freq. #    28 achieved in  1904 inner iterations 
 relative error value =       0.99984113E-04


  frequency number    27 frequency :       0.19875000E+00
 jw  real sour, imag sour =     27      0.47146E+00     -0.36528E+00

  global error =        0.6656565E-02 iter. number =   100 denomin. =        0.3143477E+03

  global error =        0.4720579E-02 iter. number =   200 denomin. =        0.2860534E+03

  global error =        0.4232250E-02 iter. number =   300 denomin. =        0.2609398E+03

  global error =        0.3807365E-02 iter. number =   400 denomin. =        0.2431352E+03

  global error =        0.3020778E-02 iter. number =   500 denomin. =        0.2378281E+03

  global error =        0.2266902E-02 iter. number =   600 denomin. =        0.2487160E+03

  global error =        0.1635825E-02 iter. number =   700 denomin. =        0.2721516E+03

  global error =        0.1263925E-02 iter. number =   800 denomin. =        0.2985565E+03

  global error =        0.1117234E-02 iter. number =   900 denomin. =        0.3218715E+03

  global error =        0.9276447E-03 iter. number =  1000 denomin. =        0.3404865E+03

  global error =        0.6438472E-03 iter. number =  1100 denomin. =        0.3481124E+03

  global error =        0.4688998E-03 iter. number =  1200 denomin. =        0.3475437E+03

  global error =        0.3935181E-03 iter. number =  1300 denomin. =        0.3463180E+03

  global error =        0.3406878E-03 iter. number =  1400 denomin. =        0.3478011E+03

  global error =        0.2861062E-03 iter. number =  1500 denomin. =        0.3522021E+03

  global error =        0.2359502E-03 iter. number =  1600 denomin. =        0.3577537E+03

  global error =        0.1981983E-03 iter. number =  1700 denomin. =        0.3623170E+03

  global error =        0.1572820E-03 iter. number =  1800 denomin. =        0.3647850E+03

  global error =        0.1234809E-03 iter. number =  1900 denomin. =        0.3653615E+03

  convergence  for freq. #    27 achieved in  1981 inner iterations 
 relative error value =       0.99919005E-04


  frequency number    26 frequency :       0.19125000E+00
 jw  real sour, imag sour =     26      0.48516E+00     -0.31442E+00

  global error =        0.6328792E-02 iter. number =   100 denomin. =        0.3877435E+03

  global error =        0.4466492E-02 iter. number =   200 denomin. =        0.3892588E+03

  global error =        0.4012053E-02 iter. number =   300 denomin. =        0.3943867E+03

  global error =        0.3657343E-02 iter. number =   400 denomin. =        0.3892061E+03

  global error =        0.3205509E-02 iter. number =   500 denomin. =        0.3754642E+03

  global error =        0.2661193E-02 iter. number =   600 denomin. =        0.3498506E+03

  global error =        0.1984456E-02 iter. number =   700 denomin. =        0.3211733E+03

  global error =        0.1513294E-02 iter. number =   800 denomin. =        0.2951638E+03

  global error =        0.1145154E-02 iter. number =   900 denomin. =        0.2759201E+03

  global error =        0.8945654E-03 iter. number =  1000 denomin. =        0.2682992E+03

  global error =        0.7584969E-03 iter. number =  1100 denomin. =        0.2697806E+03

  global error =        0.6466319E-03 iter. number =  1200 denomin. =        0.2760061E+03

  global error =        0.5326863E-03 iter. number =  1300 denomin. =        0.2850764E+03

  global error =        0.4296185E-03 iter. number =  1400 denomin. =        0.2939582E+03

  global error =        0.3434791E-03 iter. number =  1500 denomin. =        0.3000163E+03

  global error =        0.2670283E-03 iter. number =  1600 denomin. =        0.3022998E+03

  global error =        0.2148681E-03 iter. number =  1700 denomin. =        0.3018095E+03

  global error =        0.1747558E-03 iter. number =  1800 denomin. =        0.2998841E+03

  global error =        0.1409231E-03 iter. number =  1900 denomin. =        0.2978193E+03

  global error =        0.1106149E-03 iter. number =  2000 denomin. =        0.2963330E+03

  convergence  for freq. #    26 achieved in  2042 inner iterations 
 relative error value =       0.99781098E-04


  frequency number    25 frequency :       0.18375000E+00
 jw  real sour, imag sour =     25      0.49336E+00     -0.26371E+00

  global error =        0.6067579E-02 iter. number =   100 denomin. =        0.3162352E+03

  global error =        0.4074196E-02 iter. number =   200 denomin. =        0.3084365E+03

  global error =        0.3516454E-02 iter. number =   300 denomin. =        0.2988815E+03

  global error =        0.3039836E-02 iter. number =   400 denomin. =        0.2817779E+03

  global error =        0.2246533E-02 iter. number =   500 denomin. =        0.2585051E+03

  global error =        0.1786432E-02 iter. number =   600 denomin. =        0.2386475E+03

  global error =        0.1340982E-02 iter. number =   700 denomin. =        0.2260744E+03

  global error =        0.9750457E-03 iter. number =   800 denomin. =        0.2203261E+03

  global error =        0.6676843E-03 iter. number =   900 denomin. =        0.2189897E+03

  global error =        0.4973932E-03 iter. number =  1000 denomin. =        0.2228953E+03

  global error =        0.3832056E-03 iter. number =  1100 denomin. =        0.2291033E+03

  global error =        0.3167847E-03 iter. number =  1200 denomin. =        0.2361366E+03

  global error =        0.2561888E-03 iter. number =  1300 denomin. =        0.2429161E+03

  global error =        0.1952171E-03 iter. number =  1400 denomin. =        0.2479865E+03

  global error =        0.1489610E-03 iter. number =  1500 denomin. =        0.2511220E+03

  global error =        0.1201066E-03 iter. number =  1600 denomin. =        0.2529967E+03

  convergence  for freq. #    25 achieved in  1672 inner iterations 
 relative error value =       0.99705850E-04


  frequency number    24 frequency :       0.17625000E+00
 jw  real sour, imag sour =     24      0.49617E+00     -0.21372E+00

  global error =        0.6255830E-02 iter. number =   100 denomin. =        0.2703873E+03

  global error =        0.4443488E-02 iter. number =   200 denomin. =        0.2649109E+03

  global error =        0.3891365E-02 iter. number =   300 denomin. =        0.2488230E+03

  global error =        0.3414737E-02 iter. number =   400 denomin. =        0.2223941E+03

  global error =        0.2916733E-02 iter. number =   500 denomin. =        0.1878140E+03

  global error =        0.2486565E-02 iter. number =   600 denomin. =        0.1545007E+03

  global error =        0.1753174E-02 iter. number =   700 denomin. =        0.1296388E+03

  global error =        0.1255337E-02 iter. number =   800 denomin. =        0.1192511E+03

  global error =        0.9791472E-03 iter. number =   900 denomin. =        0.1179140E+03

  global error =        0.7852611E-03 iter. number =  1000 denomin. =        0.1219079E+03

  global error =        0.6118149E-03 iter. number =  1100 denomin. =        0.1280312E+03

  global error =        0.4853445E-03 iter. number =  1200 denomin. =        0.1342880E+03

  global error =        0.4052242E-03 iter. number =  1300 denomin. =        0.1388041E+03

  global error =        0.3431508E-03 iter. number =  1400 denomin. =        0.1415309E+03

  global error =        0.2703270E-03 iter. number =  1500 denomin. =        0.1425591E+03

  global error =        0.1912783E-03 iter. number =  1600 denomin. =        0.1420172E+03

  global error =        0.1339156E-03 iter. number =  1700 denomin. =        0.1407805E+03

  global error =        0.1082395E-03 iter. number =  1800 denomin. =        0.1397077E+03

  convergence  for freq. #    24 achieved in  1840 inner iterations 
 relative error value =       0.99838833E-04


  frequency number    23 frequency :       0.16875000E+00
 jw  real sour, imag sour =     23      0.49378E+00     -0.16505E+00

  global error =        0.5573405E-02 iter. number =   100 denomin. =        0.1449759E+03

  global error =        0.4209191E-02 iter. number =   200 denomin. =        0.1445582E+03

  global error =        0.3459978E-02 iter. number =   300 denomin. =        0.1456508E+03

  global error =        0.2711108E-02 iter. number =   400 denomin. =        0.1474404E+03

  global error =        0.1913524E-02 iter. number =   500 denomin. =        0.1455504E+03

  global error =        0.1515231E-02 iter. number =   600 denomin. =        0.1412276E+03

  global error =        0.1159070E-02 iter. number =   700 denomin. =        0.1348248E+03

  global error =        0.8260570E-03 iter. number =   800 denomin. =        0.1291596E+03

  global error =        0.5218931E-03 iter. number =   900 denomin. =        0.1258545E+03

  global error =        0.4116922E-03 iter. number =  1000 denomin. =        0.1256032E+03

  global error =        0.3621035E-03 iter. number =  1100 denomin. =        0.1273380E+03

  global error =        0.3207102E-03 iter. number =  1200 denomin. =        0.1301259E+03

  global error =        0.2527063E-03 iter. number =  1300 denomin. =        0.1331113E+03

  global error =        0.1769151E-03 iter. number =  1400 denomin. =        0.1358133E+03

  global error =        0.1311766E-03 iter. number =  1500 denomin. =        0.1377839E+03

  global error =        0.1003376E-03 iter. number =  1600 denomin. =        0.1390361E+03

  convergence  for freq. #    23 achieved in  1602 inner iterations 
 relative error value =       0.99816119E-04


  frequency number    22 frequency :       0.16125000E+00
 jw  real sour, imag sour =     22      0.48644E+00     -0.11823E+00

  global error =        0.6364347E-02 iter. number =   100 denomin. =        0.1475979E+03

  global error =        0.4279836E-02 iter. number =   200 denomin. =        0.1420559E+03

  global error =        0.3508191E-02 iter. number =   300 denomin. =        0.1339313E+03

  global error =        0.2712079E-02 iter. number =   400 denomin. =        0.1267219E+03

  global error =        0.1949762E-02 iter. number =   500 denomin. =        0.1220408E+03

  global error =        0.1507099E-02 iter. number =   600 denomin. =        0.1221691E+03

  global error =        0.1235505E-02 iter. number =   700 denomin. =        0.1255703E+03

  global error =        0.8942522E-03 iter. number =   800 denomin. =        0.1298894E+03

  global error =        0.5163205E-03 iter. number =   900 denomin. =        0.1313013E+03

  global error =        0.4224864E-03 iter. number =  1000 denomin. =        0.1315725E+03

  global error =        0.3997593E-03 iter. number =  1100 denomin. =        0.1327878E+03

  global error =        0.3471863E-03 iter. number =  1200 denomin. =        0.1352226E+03

  global error =        0.2611022E-03 iter. number =  1300 denomin. =        0.1376550E+03

  global error =        0.1807380E-03 iter. number =  1400 denomin. =        0.1388904E+03

  global error =        0.1335031E-03 iter. number =  1500 denomin. =        0.1388471E+03

  global error =        0.1223212E-03 iter. number =  1600 denomin. =        0.1381190E+03

  global error =        0.1072743E-03 iter. number =  1700 denomin. =        0.1372933E+03

  convergence  for freq. #    22 achieved in  1723 inner iterations 
 relative error value =       0.99743155E-04


  frequency number    21 frequency :       0.15375000E+00
 jw  real sour, imag sour =     21      0.47447E+00     -0.73785E-01

  global error =        0.6442911E-02 iter. number =   100 denomin. =        0.1472200E+03

  global error =        0.4273928E-02 iter. number =   200 denomin. =        0.1492475E+03

  global error =        0.3531762E-02 iter. number =   300 denomin. =        0.1516711E+03

  global error =        0.2898395E-02 iter. number =   400 denomin. =        0.1551034E+03

  global error =        0.2348404E-02 iter. number =   500 denomin. =        0.1570353E+03

  global error =        0.1842869E-02 iter. number =   600 denomin. =        0.1574477E+03

  global error =        0.1387897E-02 iter. number =   700 denomin. =        0.1546671E+03

  global error =        0.1065527E-02 iter. number =   800 denomin. =        0.1490856E+03

  global error =        0.7930950E-03 iter. number =   900 denomin. =        0.1409019E+03

  global error =        0.6923481E-03 iter. number =  1000 denomin. =        0.1329630E+03

  global error =        0.6078853E-03 iter. number =  1100 denomin. =        0.1255704E+03

  global error =        0.5226709E-03 iter. number =  1200 denomin. =        0.1199952E+03

  global error =        0.4289694E-03 iter. number =  1300 denomin. =        0.1168441E+03

  global error =        0.3430036E-03 iter. number =  1400 denomin. =        0.1157933E+03

  global error =        0.2775708E-03 iter. number =  1500 denomin. =        0.1158766E+03

  global error =        0.2073495E-03 iter. number =  1600 denomin. =        0.1166617E+03

  global error =        0.1606049E-03 iter. number =  1700 denomin. =        0.1177313E+03

  global error =        0.1210732E-03 iter. number =  1800 denomin. =        0.1187944E+03

  convergence  for freq. #    21 achieved in  1892 inner iterations 
 relative error value =       0.99919254E-04


  frequency number    20 frequency :       0.14625000E+00
 jw  real sour, imag sour =     20      0.45821E+00     -0.32185E-01

  global error =        0.7612673E-02 iter. number =   100 denomin. =        0.1298571E+03

  global error =        0.4206974E-02 iter. number =   200 denomin. =        0.1301936E+03

  global error =        0.3353580E-02 iter. number =   300 denomin. =        0.1339328E+03

  global error =        0.2767424E-02 iter. number =   400 denomin. =        0.1425310E+03

  global error =        0.2159388E-02 iter. number =   500 denomin. =        0.1547732E+03

  global error =        0.1724329E-02 iter. number =   600 denomin. =        0.1681046E+03

  global error =        0.1285579E-02 iter. number =   700 denomin. =        0.1773128E+03

  global error =        0.9209242E-03 iter. number =   800 denomin. =        0.1810931E+03

  global error =        0.7269251E-03 iter. number =   900 denomin. =        0.1813296E+03

  global error =        0.5985567E-03 iter. number =  1000 denomin. =        0.1805305E+03

  global error =        0.4204900E-03 iter. number =  1100 denomin. =        0.1762993E+03

  global error =        0.3157548E-03 iter. number =  1200 denomin. =        0.1702928E+03

  global error =        0.2796144E-03 iter. number =  1300 denomin. =        0.1642613E+03

  global error =        0.2343764E-03 iter. number =  1400 denomin. =        0.1588242E+03

  global error =        0.2092348E-03 iter. number =  1500 denomin. =        0.1542935E+03

  global error =        0.1758699E-03 iter. number =  1600 denomin. =        0.1505977E+03

  global error =        0.1397433E-03 iter. number =  1700 denomin. =        0.1479882E+03

  global error =        0.1078045E-03 iter. number =  1800 denomin. =        0.1463596E+03

  convergence  for freq. #    20 achieved in  1831 inner iterations 
 relative error value =       0.99840743E-04


  frequency number    19 frequency :       0.13875000E+00
 jw  real sour, imag sour =     19      0.43809E+00      0.61445E-02

  global error =        0.8442647E-02 iter. number =   100 denomin. =        0.1545180E+03

  global error =        0.4878153E-02 iter. number =   200 denomin. =        0.1466053E+03

  global error =        0.4416471E-02 iter. number =   300 denomin. =        0.1417065E+03

  global error =        0.3957798E-02 iter. number =   400 denomin. =        0.1374632E+03

  global error =        0.3199454E-02 iter. number =   500 denomin. =        0.1332241E+03

  global error =        0.2313993E-02 iter. number =   600 denomin. =        0.1306123E+03

  global error =        0.1464080E-02 iter. number =   700 denomin. =        0.1314926E+03

  global error =        0.1109408E-02 iter. number =   800 denomin. =        0.1332900E+03

  global error =        0.1024407E-02 iter. number =   900 denomin. =        0.1352322E+03

  global error =        0.8993034E-03 iter. number =  1000 denomin. =        0.1373483E+03

  global error =        0.6925237E-03 iter. number =  1100 denomin. =        0.1362677E+03

  global error =        0.5665547E-03 iter. number =  1200 denomin. =        0.1322597E+03

  global error =        0.4982114E-03 iter. number =  1300 denomin. =        0.1274264E+03

  global error =        0.4278079E-03 iter. number =  1400 denomin. =        0.1227828E+03

  global error =        0.3363935E-03 iter. number =  1500 denomin. =        0.1194318E+03

  global error =        0.2461758E-03 iter. number =  1600 denomin. =        0.1176740E+03

  global error =        0.1882695E-03 iter. number =  1700 denomin. =        0.1168627E+03

  global error =        0.1630843E-03 iter. number =  1800 denomin. =        0.1165202E+03

  global error =        0.1458816E-03 iter. number =  1900 denomin. =        0.1162129E+03

  global error =        0.1181302E-03 iter. number =  2000 denomin. =        0.1158405E+03

  convergence  for freq. #    19 achieved in  2064 inner iterations 
 relative error value =       0.99832962E-04


  frequency number    18 frequency :       0.13125000E+00
 jw  real sour, imag sour =     18      0.41457E+00      0.40831E-01

  global error =        0.7996496E-02 iter. number =   100 denomin. =        0.1237538E+03

  global error =        0.4623096E-02 iter. number =   200 denomin. =        0.1190538E+03

  global error =        0.4106763E-02 iter. number =   300 denomin. =        0.1183631E+03

  global error =        0.3652463E-02 iter. number =   400 denomin. =        0.1176389E+03

  global error =        0.3076931E-02 iter. number =   500 denomin. =        0.1185551E+03

  global error =        0.2479958E-02 iter. number =   600 denomin. =        0.1188837E+03

  global error =        0.1595529E-02 iter. number =   700 denomin. =        0.1176322E+03

  global error =        0.1117542E-02 iter. number =   800 denomin. =        0.1132153E+03

  global error =        0.7718937E-03 iter. number =   900 denomin. =        0.1078429E+03

  global error =        0.5668067E-03 iter. number =  1000 denomin. =        0.1039759E+03

  global error =        0.5061685E-03 iter. number =  1100 denomin. =        0.1010819E+03

  global error =        0.4593791E-03 iter. number =  1200 denomin. =        0.9816964E+02

  global error =        0.4245559E-03 iter. number =  1300 denomin. =        0.9553335E+02

  global error =        0.4010884E-03 iter. number =  1400 denomin. =        0.9325578E+02

  global error =        0.3485546E-03 iter. number =  1500 denomin. =        0.9120580E+02

  global error =        0.2685644E-03 iter. number =  1600 denomin. =        0.8892040E+02

  global error =        0.1997945E-03 iter. number =  1700 denomin. =        0.8672944E+02

  global error =        0.1490909E-03 iter. number =  1800 denomin. =        0.8504736E+02

  global error =        0.1107581E-03 iter. number =  1900 denomin. =        0.8385421E+02

  convergence  for freq. #    18 achieved in  1970 inner iterations 
 relative error value =       0.99958834E-04


  frequency number    17 frequency :       0.12375000E+00
 jw  real sour, imag sour =     17      0.38812E+00      0.71559E-01

  global error =        0.8072984E-02 iter. number =   100 denomin. =        0.9016798E+02

  global error =        0.4326854E-02 iter. number =   200 denomin. =        0.8243517E+02

  global error =        0.3754694E-02 iter. number =   300 denomin. =        0.7653423E+02

  global error =        0.3220473E-02 iter. number =   400 denomin. =        0.7369764E+02

  global error =        0.2421169E-02 iter. number =   500 denomin. =        0.7252866E+02

  global error =        0.1946484E-02 iter. number =   600 denomin. =        0.7546742E+02

  global error =        0.1456116E-02 iter. number =   700 denomin. =        0.8069884E+02

  global error =        0.1158574E-02 iter. number =   800 denomin. =        0.8617669E+02

  global error =        0.9712623E-03 iter. number =   900 denomin. =        0.9149552E+02

  global error =        0.7988219E-03 iter. number =  1000 denomin. =        0.9574966E+02

  global error =        0.5704454E-03 iter. number =  1100 denomin. =        0.9820125E+02

  global error =        0.4041205E-03 iter. number =  1200 denomin. =        0.9960046E+02

  global error =        0.3092546E-03 iter. number =  1300 denomin. =        0.1007981E+03

  global error =        0.2120625E-03 iter. number =  1400 denomin. =        0.1022202E+03

  global error =        0.1663140E-03 iter. number =  1500 denomin. =        0.1039627E+03

  global error =        0.1465406E-03 iter. number =  1600 denomin. =        0.1054818E+03

  global error =        0.1337764E-03 iter. number =  1700 denomin. =        0.1066417E+03

  global error =        0.1218770E-03 iter. number =  1800 denomin. =        0.1075435E+03

  global error =        0.1011978E-03 iter. number =  1900 denomin. =        0.1081097E+03

  convergence  for freq. #    17 achieved in  1907 inner iterations 
 relative error value =       0.99812279E-04


  frequency number    16 frequency :       0.11625000E+00
 jw  real sour, imag sour =     16      0.35928E+00      0.98072E-01

  global error =        0.9311245E-02 iter. number =   100 denomin. =        0.1190424E+03

  global error =        0.4759700E-02 iter. number =   200 denomin. =        0.1143238E+03

  global error =        0.4327233E-02 iter. number =   300 denomin. =        0.1032326E+03

  global error =        0.4055693E-02 iter. number =   400 denomin. =        0.8626755E+02

  global error =        0.3797960E-02 iter. number =   500 denomin. =        0.6702276E+02

  global error =        0.3764055E-02 iter. number =   600 denomin. =        0.4977944E+02

  global error =        0.3290688E-02 iter. number =   700 denomin. =        0.3945670E+02

  global error =        0.2696711E-02 iter. number =   800 denomin. =        0.3846256E+02

  global error =        0.2104335E-02 iter. number =   900 denomin. =        0.4275959E+02

  global error =        0.1674181E-02 iter. number =  1000 denomin. =        0.4853179E+02

  global error =        0.1342615E-02 iter. number =  1100 denomin. =        0.5296890E+02

  global error =        0.1122830E-02 iter. number =  1200 denomin. =        0.5459333E+02

  global error =        0.9581642E-03 iter. number =  1300 denomin. =        0.5358259E+02

  global error =        0.8207838E-03 iter. number =  1400 denomin. =        0.5108484E+02

  global error =        0.6955463E-03 iter. number =  1500 denomin. =        0.4847129E+02

  global error =        0.5841328E-03 iter. number =  1600 denomin. =        0.4677893E+02

  global error =        0.4892444E-03 iter. number =  1700 denomin. =        0.4650639E+02

  global error =        0.4049757E-03 iter. number =  1800 denomin. =        0.4727356E+02

  global error =        0.3332411E-03 iter. number =  1900 denomin. =        0.4846487E+02

  global error =        0.2774283E-03 iter. number =  2000 denomin. =        0.4949929E+02

  global error =        0.2344679E-03 iter. number =  2100 denomin. =        0.5000819E+02

  global error =        0.1959026E-03 iter. number =  2200 denomin. =        0.4995087E+02

  global error =        0.1657385E-03 iter. number =  2300 denomin. =        0.4952769E+02

  global error =        0.1374076E-03 iter. number =  2400 denomin. =        0.4901348E+02

  global error =        0.1138794E-03 iter. number =  2500 denomin. =        0.4864747E+02

  convergence  for freq. #    16 achieved in  2576 inner iterations 
 relative error value =       0.99917589E-04


  frequency number    15 frequency :       0.10875000E+00
 jw  real sour, imag sour =     15      0.32860E+00      0.12018E+00

  global error =        0.8820071E-02 iter. number =   100 denomin. =        0.5242541E+02

  global error =        0.4241432E-02 iter. number =   200 denomin. =        0.5262643E+02

  global error =        0.3344338E-02 iter. number =   300 denomin. =        0.5425630E+02

  global error =        0.2576617E-02 iter. number =   400 denomin. =        0.5703478E+02

  global error =        0.1949505E-02 iter. number =   500 denomin. =        0.5939616E+02

  global error =        0.1600658E-02 iter. number =   600 denomin. =        0.6206551E+02

  global error =        0.1226889E-02 iter. number =   700 denomin. =        0.6406721E+02

  global error =        0.8910880E-03 iter. number =   800 denomin. =        0.6550401E+02

  global error =        0.6443662E-03 iter. number =   900 denomin. =        0.6657910E+02

  global error =        0.5318511E-03 iter. number =  1000 denomin. =        0.6839801E+02

  global error =        0.4405684E-03 iter. number =  1100 denomin. =        0.7066209E+02

  global error =        0.3615378E-03 iter. number =  1200 denomin. =        0.7290903E+02

  global error =        0.2863526E-03 iter. number =  1300 denomin. =        0.7467041E+02

  global error =        0.2319053E-03 iter. number =  1400 denomin. =        0.7605817E+02

  global error =        0.1990587E-03 iter. number =  1500 denomin. =        0.7742496E+02

  global error =        0.1589701E-03 iter. number =  1600 denomin. =        0.7852650E+02

  global error =        0.1276900E-03 iter. number =  1700 denomin. =        0.7920459E+02

  convergence  for freq. #    15 achieved in  1773 inner iterations 
 relative error value =       0.99835203E-04


  frequency number    14 frequency :       0.10125000E+00
 jw  real sour, imag sour =     14      0.29662E+00      0.13775E+00

  global error =        0.1021474E-01 iter. number =   100 denomin. =        0.8872669E+02

  global error =        0.4767803E-02 iter. number =   200 denomin. =        0.8438453E+02

  global error =        0.4143876E-02 iter. number =   300 denomin. =        0.7673386E+02

  global error =        0.3640722E-02 iter. number =   400 denomin. =        0.6828904E+02

  global error =        0.3000206E-02 iter. number =   500 denomin. =        0.5938319E+02

  global error =        0.2409010E-02 iter. number =   600 denomin. =        0.5305525E+02

  global error =        0.1934994E-02 iter. number =   700 denomin. =        0.5135760E+02

  global error =        0.1408313E-02 iter. number =   800 denomin. =        0.5261673E+02

  global error =        0.9709857E-03 iter. number =   900 denomin. =        0.5388823E+02

  global error =        0.7177649E-03 iter. number =  1000 denomin. =        0.5533600E+02

  global error =        0.5838827E-03 iter. number =  1100 denomin. =        0.5724833E+02

  global error =        0.5326048E-03 iter. number =  1200 denomin. =        0.5932990E+02

  global error =        0.4532314E-03 iter. number =  1300 denomin. =        0.6133743E+02

  global error =        0.3396568E-03 iter. number =  1400 denomin. =        0.6258741E+02

  global error =        0.2646172E-03 iter. number =  1500 denomin. =        0.6275885E+02

  global error =        0.2144508E-03 iter. number =  1600 denomin. =        0.6245414E+02

  global error =        0.1761238E-03 iter. number =  1700 denomin. =        0.6225633E+02

  global error =        0.1448918E-03 iter. number =  1800 denomin. =        0.6215323E+02

  global error =        0.1200935E-03 iter. number =  1900 denomin. =        0.6215308E+02

  convergence  for freq. #    14 achieved in  1996 inner iterations 
 relative error value =       0.99843176E-04


  frequency number    13 frequency :       0.93750000E-01
 jw  real sour, imag sour =     13      0.26393E+00      0.15074E+00

  global error =        0.1084947E-01 iter. number =   100 denomin. =        0.6897391E+02

  global error =        0.4349339E-02 iter. number =   200 denomin. =        0.6793748E+02

  global error =        0.3609645E-02 iter. number =   300 denomin. =        0.6729493E+02

  global error =        0.3112738E-02 iter. number =   400 denomin. =        0.6621030E+02

  global error =        0.2735658E-02 iter. number =   500 denomin. =        0.6487514E+02

  global error =        0.2310167E-02 iter. number =   600 denomin. =        0.6341180E+02

  global error =        0.1728367E-02 iter. number =   700 denomin. =        0.6173873E+02

  global error =        0.1230162E-02 iter. number =   800 denomin. =        0.6010486E+02

  global error =        0.1029851E-02 iter. number =   900 denomin. =        0.5909298E+02

  global error =        0.8310315E-03 iter. number =  1000 denomin. =        0.5852398E+02

  global error =        0.6018638E-03 iter. number =  1100 denomin. =        0.5823842E+02

  global error =        0.4486854E-03 iter. number =  1200 denomin. =        0.5855946E+02

  global error =        0.3617262E-03 iter. number =  1300 denomin. =        0.5942828E+02

  global error =        0.3053026E-03 iter. number =  1400 denomin. =        0.6035263E+02

  global error =        0.2663267E-03 iter. number =  1500 denomin. =        0.6127994E+02

  global error =        0.2105217E-03 iter. number =  1600 denomin. =        0.6217259E+02

  global error =        0.1627619E-03 iter. number =  1700 denomin. =        0.6309771E+02

  global error =        0.1317477E-03 iter. number =  1800 denomin. =        0.6381592E+02

  global error =        0.1194856E-03 iter. number =  1900 denomin. =        0.6433853E+02

  convergence  for freq. #    13 achieved in  1999 inner iterations 
 relative error value =       0.99695961E-04


  frequency number    12 frequency :       0.86250000E-01
 jw  real sour, imag sour =     12      0.23108E+00      0.15914E+00

  global error =        0.1195636E-01 iter. number =   100 denomin. =        0.7478822E+02

  global error =        0.4648683E-02 iter. number =   200 denomin. =        0.7035049E+02

  global error =        0.3882114E-02 iter. number =   300 denomin. =        0.6350722E+02

  global error =        0.3393740E-02 iter. number =   400 denomin. =        0.5832305E+02

  global error =        0.2779353E-02 iter. number =   500 denomin. =        0.5431855E+02

  global error =        0.2308043E-02 iter. number =   600 denomin. =        0.5017181E+02

  global error =        0.1766119E-02 iter. number =   700 denomin. =        0.4633066E+02

  global error =        0.1343730E-02 iter. number =   800 denomin. =        0.4389377E+02

  global error =        0.9584101E-03 iter. number =   900 denomin. =        0.4305039E+02

  global error =        0.7553585E-03 iter. number =  1000 denomin. =        0.4355097E+02

  global error =        0.6507059E-03 iter. number =  1100 denomin. =        0.4467098E+02

  global error =        0.5488186E-03 iter. number =  1200 denomin. =        0.4660560E+02

  global error =        0.4477783E-03 iter. number =  1300 denomin. =        0.4875676E+02

  global error =        0.3662080E-03 iter. number =  1400 denomin. =        0.5061072E+02

  global error =        0.3049467E-03 iter. number =  1500 denomin. =        0.5211933E+02

  global error =        0.2337944E-03 iter. number =  1600 denomin. =        0.5313579E+02

  global error =        0.1757857E-03 iter. number =  1700 denomin. =        0.5369383E+02

  global error =        0.1223373E-03 iter. number =  1800 denomin. =        0.5383021E+02

  global error =        0.1069224E-03 iter. number =  1900 denomin. =        0.5371414E+02

  convergence  for freq. #    12 achieved in  1984 inner iterations 
 relative error value =       0.99905352E-04


  frequency number    11 frequency :       0.78750000E-01
 jw  real sour, imag sour =     11      0.19865E+00      0.16303E+00

  global error =        0.1320128E-01 iter. number =   100 denomin. =        0.6118962E+02

  global error =        0.5143211E-02 iter. number =   200 denomin. =        0.5905504E+02

  global error =        0.4598936E-02 iter. number =   300 denomin. =        0.5568875E+02

  global error =        0.4269407E-02 iter. number =   400 denomin. =        0.5148431E+02

  global error =        0.3540699E-02 iter. number =   500 denomin. =        0.4674311E+02

  global error =        0.2921114E-02 iter. number =   600 denomin. =        0.4136482E+02

  global error =        0.2361292E-02 iter. number =   700 denomin. =        0.3511418E+02

  global error =        0.2142442E-02 iter. number =   800 denomin. =        0.2856397E+02

  global error =        0.1882882E-02 iter. number =   900 denomin. =        0.2331814E+02

  global error =        0.1811393E-02 iter. number =  1000 denomin. =        0.2007891E+02

  global error =        0.1616175E-02 iter. number =  1100 denomin. =        0.1797779E+02

  global error =        0.1407939E-02 iter. number =  1200 denomin. =        0.1729882E+02

  global error =        0.1165943E-02 iter. number =  1300 denomin. =        0.1767987E+02

  global error =        0.9100052E-03 iter. number =  1400 denomin. =        0.1870010E+02

  global error =        0.7164764E-03 iter. number =  1500 denomin. =        0.1981834E+02

  global error =        0.6013856E-03 iter. number =  1600 denomin. =        0.2073188E+02

  global error =        0.5079424E-03 iter. number =  1700 denomin. =        0.2126677E+02

  global error =        0.4143919E-03 iter. number =  1800 denomin. =        0.2139844E+02

  global error =        0.3327302E-03 iter. number =  1900 denomin. =        0.2119814E+02

  global error =        0.2781757E-03 iter. number =  2000 denomin. =        0.2083580E+02

  global error =        0.2295244E-03 iter. number =  2100 denomin. =        0.2045934E+02

  global error =        0.2003966E-03 iter. number =  2200 denomin. =        0.2011530E+02

  global error =        0.1714711E-03 iter. number =  2300 denomin. =        0.1990312E+02

  global error =        0.1493163E-03 iter. number =  2400 denomin. =        0.1982101E+02

  global error =        0.1262427E-03 iter. number =  2500 denomin. =        0.1985619E+02

  convergence  for freq. #    11 achieved in  2592 inner iterations 
 relative error value =       0.99861071E-04


  frequency number    10 frequency :       0.71250000E-01
 jw  real sour, imag sour =     10      0.16717E+00      0.16254E+00

  global error =        0.1109736E-01 iter. number =   100 denomin. =        0.2246471E+02

  global error =        0.5275952E-02 iter. number =   200 denomin. =        0.2079826E+02

  global error =        0.4369866E-02 iter. number =   300 denomin. =        0.2154408E+02

  global error =        0.3575051E-02 iter. number =   400 denomin. =        0.2353617E+02

  global error =        0.2830701E-02 iter. number =   500 denomin. =        0.2577882E+02

  global error =        0.2133323E-02 iter. number =   600 denomin. =        0.2780366E+02

  global error =        0.1508733E-02 iter. number =   700 denomin. =        0.2952775E+02

  global error =        0.1269557E-02 iter. number =   800 denomin. =        0.3054361E+02

  global error =        0.1179891E-02 iter. number =   900 denomin. =        0.3138079E+02

  global error =        0.9531159E-03 iter. number =  1000 denomin. =        0.3172151E+02

  global error =        0.6891689E-03 iter. number =  1100 denomin. =        0.3158614E+02

  global error =        0.5487303E-03 iter. number =  1200 denomin. =        0.3108222E+02

  global error =        0.4844303E-03 iter. number =  1300 denomin. =        0.3044281E+02

  global error =        0.4376749E-03 iter. number =  1400 denomin. =        0.2976767E+02

  global error =        0.3797795E-03 iter. number =  1500 denomin. =        0.2912896E+02

  global error =        0.3284541E-03 iter. number =  1600 denomin. =        0.2856626E+02

  global error =        0.2815297E-03 iter. number =  1700 denomin. =        0.2803746E+02

  global error =        0.2756867E-03 iter. number =  1800 denomin. =        0.2744870E+02

  global error =        0.2364011E-03 iter. number =  1900 denomin. =        0.2688286E+02

  global error =        0.1851970E-03 iter. number =  2000 denomin. =        0.2642444E+02

  global error =        0.1578576E-03 iter. number =  2100 denomin. =        0.2602242E+02

  global error =        0.1335314E-03 iter. number =  2200 denomin. =        0.2571252E+02

  global error =        0.1191639E-03 iter. number =  2300 denomin. =        0.2545342E+02

  global error =        0.1097918E-03 iter. number =  2400 denomin. =        0.2523058E+02

  convergence  for freq. #    10 achieved in  2453 inner iterations 
 relative error value =       0.99904476E-04


  frequency number     9 frequency :       0.63750000E-01
 jw  real sour, imag sour =      9      0.13717E+00      0.15789E+00

  global error =        0.1241045E-01 iter. number =   100 denomin. =        0.2944340E+02

  global error =        0.5566335E-02 iter. number =   200 denomin. =        0.2611019E+02

  global error =        0.4596831E-02 iter. number =   300 denomin. =        0.2419941E+02

  global error =        0.4210045E-02 iter. number =   400 denomin. =        0.2196068E+02

  global error =        0.3544738E-02 iter. number =   500 denomin. =        0.2041329E+02

  global error =        0.3077655E-02 iter. number =   600 denomin. =        0.2035279E+02

  global error =        0.2263480E-02 iter. number =   700 denomin. =        0.2150994E+02

  global error =        0.1730686E-02 iter. number =   800 denomin. =        0.2266324E+02

  global error =        0.1396789E-02 iter. number =   900 denomin. =        0.2308802E+02

  global error =        0.1226468E-02 iter. number =  1000 denomin. =        0.2270414E+02

  global error =        0.1100113E-02 iter. number =  1100 denomin. =        0.2212442E+02

  global error =        0.9475692E-03 iter. number =  1200 denomin. =        0.2159313E+02

  global error =        0.7895265E-03 iter. number =  1300 denomin. =        0.2125448E+02

  global error =        0.6352460E-03 iter. number =  1400 denomin. =        0.2117383E+02

  global error =        0.5195417E-03 iter. number =  1500 denomin. =        0.2124117E+02

  global error =        0.4214807E-03 iter. number =  1600 denomin. =        0.2124640E+02

  global error =        0.3557112E-03 iter. number =  1700 denomin. =        0.2109247E+02

  global error =        0.3070966E-03 iter. number =  1800 denomin. =        0.2081761E+02

  global error =        0.2799461E-03 iter. number =  1900 denomin. =        0.2060576E+02

  global error =        0.2248837E-03 iter. number =  2000 denomin. =        0.2046025E+02

  global error =        0.1964351E-03 iter. number =  2100 denomin. =        0.2038576E+02

  global error =        0.1597781E-03 iter. number =  2200 denomin. =        0.2034257E+02

  global error =        0.1315637E-03 iter. number =  2300 denomin. =        0.2029944E+02

  global error =        0.1111007E-03 iter. number =  2400 denomin. =        0.2025274E+02

  global error =        0.1017265E-03 iter. number =  2500 denomin. =        0.2017535E+02

  convergence  for freq. #     9 achieved in  2515 inner iterations 
 relative error value =       0.99991859E-04


  frequency number     8 frequency :       0.56250000E-01
 jw  real sour, imag sour =      8      0.10914E+00      0.14933E+00

  global error =        0.1419466E-01 iter. number =   100 denomin. =        0.2352055E+02

  global error =        0.5726306E-02 iter. number =   200 denomin. =        0.2224855E+02

  global error =        0.4496442E-02 iter. number =   300 denomin. =        0.2053893E+02

  global error =        0.3912755E-02 iter. number =   400 denomin. =        0.1871041E+02

  global error =        0.3310853E-02 iter. number =   500 denomin. =        0.1685698E+02

  global error =        0.2946715E-02 iter. number =   600 denomin. =        0.1613115E+02

  global error =        0.2279972E-02 iter. number =   700 denomin. =        0.1620435E+02

  global error =        0.1713781E-02 iter. number =   800 denomin. =        0.1710552E+02

  global error =        0.1216112E-02 iter. number =   900 denomin. =        0.1833109E+02

  global error =        0.1017926E-02 iter. number =  1000 denomin. =        0.1897034E+02

  global error =        0.8505403E-03 iter. number =  1100 denomin. =        0.1910239E+02

  global error =        0.7002035E-03 iter. number =  1200 denomin. =        0.1899836E+02

  global error =        0.5631644E-03 iter. number =  1300 denomin. =        0.1886175E+02

  global error =        0.4424943E-03 iter. number =  1400 denomin. =        0.1880342E+02

  global error =        0.3605681E-03 iter. number =  1500 denomin. =        0.1879017E+02

  global error =        0.3014118E-03 iter. number =  1600 denomin. =        0.1887243E+02

  global error =        0.2531248E-03 iter. number =  1700 denomin. =        0.1899222E+02

  global error =        0.2073366E-03 iter. number =  1800 denomin. =        0.1909628E+02

  global error =        0.1765339E-03 iter. number =  1900 denomin. =        0.1912857E+02

  global error =        0.1551581E-03 iter. number =  2000 denomin. =        0.1915758E+02

  global error =        0.1346977E-03 iter. number =  2100 denomin. =        0.1917307E+02

  global error =        0.1129053E-03 iter. number =  2200 denomin. =        0.1916151E+02

  convergence  for freq. #     8 achieved in  2265 inner iterations 
 relative error value =       0.99921823E-04


  frequency number     7 frequency :       0.48750000E-01
 jw  real sour, imag sour =      7      0.83539E-01      0.13719E+00

  global error =        0.1342932E-01 iter. number =   100 denomin. =        0.2295360E+02

  global error =        0.5712857E-02 iter. number =   200 denomin. =        0.2180780E+02

  global error =        0.4532373E-02 iter. number =   300 denomin. =        0.2056451E+02

  global error =        0.3955687E-02 iter. number =   400 denomin. =        0.1917652E+02

  global error =        0.3256327E-02 iter. number =   500 denomin. =        0.1726213E+02

  global error =        0.2675458E-02 iter. number =   600 denomin. =        0.1579527E+02

  global error =        0.2072623E-02 iter. number =   700 denomin. =        0.1484696E+02

  global error =        0.1563438E-02 iter. number =   800 denomin. =        0.1441712E+02

  global error =        0.1239013E-02 iter. number =   900 denomin. =        0.1449422E+02

  global error =        0.9326810E-03 iter. number =  1000 denomin. =        0.1484133E+02

  global error =        0.7864052E-03 iter. number =  1100 denomin. =        0.1521541E+02

  global error =        0.6790484E-03 iter. number =  1200 denomin. =        0.1544606E+02

  global error =        0.5455726E-03 iter. number =  1300 denomin. =        0.1555668E+02

  global error =        0.4558724E-03 iter. number =  1400 denomin. =        0.1547528E+02

  global error =        0.3996401E-03 iter. number =  1500 denomin. =        0.1532701E+02

  global error =        0.3447464E-03 iter. number =  1600 denomin. =        0.1522065E+02

  global error =        0.2944911E-03 iter. number =  1700 denomin. =        0.1504323E+02

  global error =        0.2446076E-03 iter. number =  1800 denomin. =        0.1490481E+02

  global error =        0.2056584E-03 iter. number =  1900 denomin. =        0.1488142E+02

  global error =        0.1766757E-03 iter. number =  2000 denomin. =        0.1491335E+02

  global error =        0.1625402E-03 iter. number =  2100 denomin. =        0.1493286E+02

  global error =        0.1436241E-03 iter. number =  2200 denomin. =        0.1498017E+02

  global error =        0.1319350E-03 iter. number =  2300 denomin. =        0.1502259E+02

  global error =        0.1293237E-03 iter. number =  2400 denomin. =        0.1500040E+02

  global error =        0.1221651E-03 iter. number =  2500 denomin. =        0.1500012E+02

  global error =        0.1099736E-03 iter. number =  2600 denomin. =        0.1499736E+02

  convergence  for freq. #     7 achieved in  2666 inner iterations 
 relative error value =       0.99982169E-04


  frequency number     6 frequency :       0.41250000E-01
 jw  real sour, imag sour =      6      0.60783E-01      0.12182E+00

  global error =        0.1469949E-01 iter. number =   100 denomin. =        0.1966936E+02

  global error =        0.6721708E-02 iter. number =   200 denomin. =        0.1738190E+02

  global error =        0.4638761E-02 iter. number =   300 denomin. =        0.1556161E+02

  global error =        0.4062139E-02 iter. number =   400 denomin. =        0.1402082E+02

  global error =        0.3099465E-02 iter. number =   500 denomin. =        0.1278329E+02

  global error =        0.2712791E-02 iter. number =   600 denomin. =        0.1237373E+02

  global error =        0.2163021E-02 iter. number =   700 denomin. =        0.1251103E+02

  global error =        0.1665975E-02 iter. number =   800 denomin. =        0.1251249E+02

  global error =        0.9422678E-03 iter. number =   900 denomin. =        0.1231442E+02

  global error =        0.7467268E-03 iter. number =  1000 denomin. =        0.1194449E+02

  global error =        0.6632593E-03 iter. number =  1100 denomin. =        0.1165889E+02

  global error =        0.5256632E-03 iter. number =  1200 denomin. =        0.1160193E+02

  global error =        0.4693347E-03 iter. number =  1300 denomin. =        0.1150942E+02

  global error =        0.3990097E-03 iter. number =  1400 denomin. =        0.1133212E+02

  global error =        0.2814643E-03 iter. number =  1500 denomin. =        0.1120503E+02

  global error =        0.2678009E-03 iter. number =  1600 denomin. =        0.1104654E+02

  global error =        0.2231875E-03 iter. number =  1700 denomin. =        0.1092398E+02

  global error =        0.1929755E-03 iter. number =  1800 denomin. =        0.1087886E+02

  global error =        0.1862064E-03 iter. number =  1900 denomin. =        0.1074526E+02

  global error =        0.1492288E-03 iter. number =  2000 denomin. =        0.1059669E+02

  global error =        0.1402230E-03 iter. number =  2100 denomin. =        0.1053917E+02

  global error =        0.1342044E-03 iter. number =  2200 denomin. =        0.1048552E+02

  global error =        0.1097839E-03 iter. number =  2300 denomin. =        0.1045986E+02

  global error =        0.1040034E-03 iter. number =  2400 denomin. =        0.1047937E+02

  global error =        0.1101699E-03 iter. number =  2500 denomin. =        0.1045814E+02

  global error =        0.1021539E-03 iter. number =  2600 denomin. =        0.1045405E+02

  convergence  for freq. #     6 achieved in  2622 inner iterations 
 relative error value =       0.99919382E-04


  frequency number     5 frequency :       0.33750000E-01
 jw  real sour, imag sour =      5      0.41236E-01      0.10364E+00

  global error =        0.2697379E-02 iter. number =   100 denomin. =        0.1025736E+02

  global error =        0.2569968E-02 iter. number =   200 denomin. =        0.1007737E+02

  global error =        0.2346449E-02 iter. number =   300 denomin. =        0.9743034E+01

  global error =        0.2153465E-02 iter. number =   400 denomin. =        0.9313908E+01

  global error =        0.2011842E-02 iter. number =   500 denomin. =        0.8898547E+01

  global error =        0.1884774E-02 iter. number =   600 denomin. =        0.8480535E+01

  global error =        0.1748435E-02 iter. number =   700 denomin. =        0.8072950E+01

  global error =        0.1647780E-02 iter. number =   800 denomin. =        0.7713039E+01

  global error =        0.1562958E-02 iter. number =   900 denomin. =        0.7419372E+01

  global error =        0.1494136E-02 iter. number =  1000 denomin. =        0.7220158E+01

  global error =        0.1396257E-02 iter. number =  1100 denomin. =        0.7106298E+01

  global error =        0.1283593E-02 iter. number =  1200 denomin. =        0.7098651E+01

  global error =        0.1180181E-02 iter. number =  1300 denomin. =        0.7196065E+01

  global error =        0.1077252E-02 iter. number =  1400 denomin. =        0.7361511E+01

  global error =        0.9691562E-03 iter. number =  1500 denomin. =        0.7586308E+01

  global error =        0.8846067E-03 iter. number =  1600 denomin. =        0.7834700E+01

  global error =        0.8147718E-03 iter. number =  1700 denomin. =        0.8088181E+01

  global error =        0.7588872E-03 iter. number =  1800 denomin. =        0.8331334E+01

  global error =        0.7101772E-03 iter. number =  1900 denomin. =        0.8555585E+01

  global error =        0.6692324E-03 iter. number =  2000 denomin. =        0.8767492E+01

  global error =        0.6371544E-03 iter. number =  2100 denomin. =        0.8962171E+01

  global error =        0.6031172E-03 iter. number =  2200 denomin. =        0.9141446E+01

  global error =        0.5679917E-03 iter. number =  2300 denomin. =        0.9298353E+01

  global error =        0.5364894E-03 iter. number =  2400 denomin. =        0.9432391E+01

  global error =        0.5078631E-03 iter. number =  2500 denomin. =        0.9551445E+01

  global error =        0.4786500E-03 iter. number =  2600 denomin. =        0.9658357E+01

  global error =        0.4506048E-03 iter. number =  2700 denomin. =        0.9758176E+01

  global error =        0.4272618E-03 iter. number =  2800 denomin. =        0.9854805E+01

  global error =        0.4045002E-03 iter. number =  2900 denomin. =        0.9949720E+01

  global error =        0.3827018E-03 iter. number =  3000 denomin. =        0.1004205E+02

  global error =        0.3634587E-03 iter. number =  3100 denomin. =        0.1013092E+02

  global error =        0.3460775E-03 iter. number =  3200 denomin. =        0.1021943E+02

  global error =        0.3300635E-03 iter. number =  3300 denomin. =        0.1030803E+02

  global error =        0.3140658E-03 iter. number =  3400 denomin. =        0.1039719E+02

  global error =        0.2982289E-03 iter. number =  3500 denomin. =        0.1048296E+02

  global error =        0.2829802E-03 iter. number =  3600 denomin. =        0.1055993E+02

  global error =        0.2678508E-03 iter. number =  3700 denomin. =        0.1062633E+02

  global error =        0.2537373E-03 iter. number =  3800 denomin. =        0.1068165E+02

  global error =        0.2412550E-03 iter. number =  3900 denomin. =        0.1072675E+02

  global error =        0.2307518E-03 iter. number =  4000 denomin. =        0.1076446E+02

  NO convergence  for freq. #     5 after   4001 inner iterations 
 relative error value reduction =       0.23075184E-03


  frequency number     4 frequency :       0.26250000E-01
 jw  real sour, imag sour =      4      0.25212E-01      0.83117E-01

  global error =        0.3044452E-02 iter. number =   100 denomin. =        0.1062099E+02

  global error =        0.2844293E-02 iter. number =   200 denomin. =        0.1045368E+02

  global error =        0.2672584E-02 iter. number =   300 denomin. =        0.1020095E+02

  global error =        0.2533332E-02 iter. number =   400 denomin. =        0.9943173E+01

  global error =        0.2400574E-02 iter. number =   500 denomin. =        0.9628102E+01

  global error =        0.2315953E-02 iter. number =   600 denomin. =        0.9245194E+01

  global error =        0.2207089E-02 iter. number =   700 denomin. =        0.8725896E+01

  global error =        0.2135620E-02 iter. number =   800 denomin. =        0.8126612E+01

  global error =        0.2099401E-02 iter. number =   900 denomin. =        0.7485799E+01

  global error =        0.2086008E-02 iter. number =  1000 denomin. =        0.6833299E+01

  global error =        0.2095692E-02 iter. number =  1100 denomin. =        0.6200122E+01

  global error =        0.2102915E-02 iter. number =  1200 denomin. =        0.5645963E+01

  global error =        0.2037435E-02 iter. number =  1300 denomin. =        0.5180132E+01

  global error =        0.1941727E-02 iter. number =  1400 denomin. =        0.4868462E+01

  global error =        0.1824261E-02 iter. number =  1500 denomin. =        0.4712383E+01

  global error =        0.1700050E-02 iter. number =  1600 denomin. =        0.4711085E+01

  global error =        0.1584656E-02 iter. number =  1700 denomin. =        0.4827037E+01

  global error =        0.1470459E-02 iter. number =  1800 denomin. =        0.5009824E+01

  global error =        0.1359520E-02 iter. number =  1900 denomin. =        0.5220356E+01

  global error =        0.1260810E-02 iter. number =  2000 denomin. =        0.5433568E+01

  global error =        0.1175927E-02 iter. number =  2100 denomin. =        0.5638457E+01

  global error =        0.1107069E-02 iter. number =  2200 denomin. =        0.5819193E+01

  global error =        0.1048454E-02 iter. number =  2300 denomin. =        0.5965164E+01

  global error =        0.9801774E-03 iter. number =  2400 denomin. =        0.6072920E+01

  global error =        0.9126793E-03 iter. number =  2500 denomin. =        0.6145103E+01

  global error =        0.8490862E-03 iter. number =  2600 denomin. =        0.6186800E+01

  global error =        0.7947309E-03 iter. number =  2700 denomin. =        0.6195939E+01

  global error =        0.7504547E-03 iter. number =  2800 denomin. =        0.6176788E+01

  global error =        0.7100701E-03 iter. number =  2900 denomin. =        0.6136275E+01

  global error =        0.6681036E-03 iter. number =  3000 denomin. =        0.6081930E+01

  global error =        0.6234963E-03 iter. number =  3100 denomin. =        0.6021734E+01

  global error =        0.5834073E-03 iter. number =  3200 denomin. =        0.5965665E+01

  global error =        0.5537534E-03 iter. number =  3300 denomin. =        0.5926880E+01

  global error =        0.5245517E-03 iter. number =  3400 denomin. =        0.5911709E+01

  global error =        0.4930684E-03 iter. number =  3500 denomin. =        0.5923320E+01

  global error =        0.4597689E-03 iter. number =  3600 denomin. =        0.5959207E+01

  global error =        0.4251409E-03 iter. number =  3700 denomin. =        0.6016042E+01

  global error =        0.3955979E-03 iter. number =  3800 denomin. =        0.6090968E+01

  global error =        0.3713063E-03 iter. number =  3900 denomin. =        0.6177201E+01

  global error =        0.3492018E-03 iter. number =  4000 denomin. =        0.6266231E+01

  NO convergence  for freq. #     4 after   4001 inner iterations 
 relative error value reduction =       0.34920181E-03


  frequency number     3 frequency :       0.18750000E-01
 jw  real sour, imag sour =      3      0.12966E-01      0.60724E-01

  global error =        0.2958187E-02 iter. number =   100 denomin. =        0.6262153E+01

  global error =        0.2909776E-02 iter. number =   200 denomin. =        0.6254969E+01

  global error =        0.2729665E-02 iter. number =   300 denomin. =        0.6228956E+01

  global error =        0.2592605E-02 iter. number =   400 denomin. =        0.6245400E+01

  global error =        0.2434544E-02 iter. number =   500 denomin. =        0.6271876E+01

  global error =        0.2319351E-02 iter. number =   600 denomin. =        0.6307096E+01

  global error =        0.2217927E-02 iter. number =   700 denomin. =        0.6286884E+01

  global error =        0.2126331E-02 iter. number =   800 denomin. =        0.6203474E+01

  global error =        0.1987618E-02 iter. number =   900 denomin. =        0.6026959E+01

  global error =        0.1913985E-02 iter. number =  1000 denomin. =        0.5759244E+01

  global error =        0.1826430E-02 iter. number =  1100 denomin. =        0.5397741E+01

  global error =        0.1744125E-02 iter. number =  1200 denomin. =        0.4972211E+01

  global error =        0.1687380E-02 iter. number =  1300 denomin. =        0.4546336E+01

  global error =        0.1663417E-02 iter. number =  1400 denomin. =        0.4147769E+01

  global error =        0.1660135E-02 iter. number =  1500 denomin. =        0.3794877E+01

  global error =        0.1647696E-02 iter. number =  1600 denomin. =        0.3493588E+01

  global error =        0.1627821E-02 iter. number =  1700 denomin. =        0.3249682E+01

  global error =        0.1589799E-02 iter. number =  1800 denomin. =        0.3052278E+01

  global error =        0.1544175E-02 iter. number =  1900 denomin. =        0.2896238E+01

  global error =        0.1509291E-02 iter. number =  2000 denomin. =        0.2781398E+01

  global error =        0.1462652E-02 iter. number =  2100 denomin. =        0.2695123E+01

  global error =        0.1395234E-02 iter. number =  2200 denomin. =        0.2638345E+01

  global error =        0.1317042E-02 iter. number =  2300 denomin. =        0.2613789E+01

  global error =        0.1240453E-02 iter. number =  2400 denomin. =        0.2629305E+01

  global error =        0.1151162E-02 iter. number =  2500 denomin. =        0.2682330E+01

  global error =        0.1061462E-02 iter. number =  2600 denomin. =        0.2762899E+01

  global error =        0.9865728E-03 iter. number =  2700 denomin. =        0.2851763E+01

  global error =        0.9204752E-03 iter. number =  2800 denomin. =        0.2935515E+01

  global error =        0.8620379E-03 iter. number =  2900 denomin. =        0.3006636E+01

  global error =        0.8096165E-03 iter. number =  3000 denomin. =        0.3062170E+01

  global error =        0.7621006E-03 iter. number =  3100 denomin. =        0.3100636E+01

  global error =        0.7160173E-03 iter. number =  3200 denomin. =        0.3122523E+01

  global error =        0.6744135E-03 iter. number =  3300 denomin. =        0.3130832E+01

  global error =        0.6371307E-03 iter. number =  3400 denomin. =        0.3128702E+01

  global error =        0.5999732E-03 iter. number =  3500 denomin. =        0.3115384E+01

  global error =        0.5636040E-03 iter. number =  3600 denomin. =        0.3089826E+01

  global error =        0.5303886E-03 iter. number =  3700 denomin. =        0.3052631E+01

  global error =        0.5003366E-03 iter. number =  3800 denomin. =        0.3005861E+01

  global error =        0.4709966E-03 iter. number =  3900 denomin. =        0.2954815E+01

  global error =        0.4436227E-03 iter. number =  4000 denomin. =        0.2905583E+01

  NO convergence  for freq. #     3 after   4001 inner iterations 
 relative error value reduction =       0.44362270E-03


  frequency number     2 frequency :       0.11250000E-01
 jw  real sour, imag sour =      2      0.46918E-02      0.36980E-01

  global error =        0.3665458E-02 iter. number =   100 denomin. =        0.2748651E+01

  global error =        0.3190578E-02 iter. number =   200 denomin. =        0.2596119E+01

  global error =        0.2789344E-02 iter. number =   300 denomin. =        0.2489198E+01

  global error =        0.2622744E-02 iter. number =   400 denomin. =        0.2467069E+01

  global error =        0.2406838E-02 iter. number =   500 denomin. =        0.2467276E+01

  global error =        0.2251753E-02 iter. number =   600 denomin. =        0.2491990E+01

  global error =        0.2144178E-02 iter. number =   700 denomin. =        0.2515425E+01

  global error =        0.1948116E-02 iter. number =   800 denomin. =        0.2500941E+01

  global error =        0.1800159E-02 iter. number =   900 denomin. =        0.2467341E+01

  global error =        0.1725115E-02 iter. number =  1000 denomin. =        0.2450910E+01

  global error =        0.1635943E-02 iter. number =  1100 denomin. =        0.2435008E+01

  global error =        0.1546347E-02 iter. number =  1200 denomin. =        0.2405053E+01

  global error =        0.1432596E-02 iter. number =  1300 denomin. =        0.2371502E+01

  global error =        0.1306542E-02 iter. number =  1400 denomin. =        0.2350676E+01

  global error =        0.1221564E-02 iter. number =  1500 denomin. =        0.2343437E+01

  global error =        0.1159688E-02 iter. number =  1600 denomin. =        0.2340869E+01

  global error =        0.1098206E-02 iter. number =  1700 denomin. =        0.2339132E+01

  global error =        0.1017383E-02 iter. number =  1800 denomin. =        0.2333326E+01

  global error =        0.9472542E-03 iter. number =  1900 denomin. =        0.2322153E+01

  global error =        0.8845338E-03 iter. number =  2000 denomin. =        0.2311163E+01

  global error =        0.8390352E-03 iter. number =  2100 denomin. =        0.2306827E+01

  global error =        0.8191733E-03 iter. number =  2200 denomin. =        0.2303128E+01

  global error =        0.7958207E-03 iter. number =  2300 denomin. =        0.2295292E+01

  global error =        0.7341440E-03 iter. number =  2400 denomin. =        0.2281520E+01

  global error =        0.6651814E-03 iter. number =  2500 denomin. =        0.2259529E+01

  global error =        0.6124239E-03 iter. number =  2600 denomin. =        0.2228489E+01

  global error =        0.5842407E-03 iter. number =  2700 denomin. =        0.2194218E+01

  global error =        0.5594041E-03 iter. number =  2800 denomin. =        0.2158520E+01

  global error =        0.5245902E-03 iter. number =  2900 denomin. =        0.2121617E+01

  global error =        0.4958040E-03 iter. number =  3000 denomin. =        0.2085229E+01

  global error =        0.4698541E-03 iter. number =  3100 denomin. =        0.2051755E+01

  global error =        0.4431097E-03 iter. number =  3200 denomin. =        0.2021969E+01

  global error =        0.4247828E-03 iter. number =  3300 denomin. =        0.1995682E+01

  global error =        0.4075613E-03 iter. number =  3400 denomin. =        0.1972438E+01

  global error =        0.3854637E-03 iter. number =  3500 denomin. =        0.1952796E+01

  global error =        0.3594627E-03 iter. number =  3600 denomin. =        0.1936438E+01

  global error =        0.3321423E-03 iter. number =  3700 denomin. =        0.1924717E+01

  global error =        0.3070982E-03 iter. number =  3800 denomin. =        0.1918887E+01

  global error =        0.2872295E-03 iter. number =  3900 denomin. =        0.1918128E+01

  global error =        0.2706223E-03 iter. number =  4000 denomin. =        0.1920226E+01

  NO convergence  for freq. #     2 after   4001 inner iterations 
 relative error value reduction =       0.27062234E-03


  frequency number     1 frequency :       0.37500000E-02
 jw  real sour, imag sour =      1      0.52183E-03      0.12418E-01

  global error =        0.5946670E-02 iter. number =   100 denomin. =        0.1979397E+01

  global error =        0.4878951E-02 iter. number =   200 denomin. =        0.1888540E+01

  global error =        0.4434428E-02 iter. number =   300 denomin. =        0.1799285E+01

  global error =        0.4271408E-02 iter. number =   400 denomin. =        0.1669234E+01

  global error =        0.3850575E-02 iter. number =   500 denomin. =        0.1548826E+01

  global error =        0.3785631E-02 iter. number =   600 denomin. =        0.1416254E+01

  global error =        0.3662626E-02 iter. number =   700 denomin. =        0.1263597E+01

  global error =        0.3379305E-02 iter. number =   800 denomin. =        0.1126473E+01

  global error =        0.3120139E-02 iter. number =   900 denomin. =        0.1038890E+01

  global error =        0.3037158E-02 iter. number =  1000 denomin. =        0.9392523E+00

  global error =        0.2789783E-02 iter. number =  1100 denomin. =        0.8653114E+00

  global error =        0.2735110E-02 iter. number =  1200 denomin. =        0.8098612E+00

  global error =        0.2642551E-02 iter. number =  1300 denomin. =        0.7624366E+00

  global error =        0.2543224E-02 iter. number =  1400 denomin. =        0.7088809E+00

  global error =        0.2400136E-02 iter. number =  1500 denomin. =        0.6597411E+00

  global error =        0.2261869E-02 iter. number =  1600 denomin. =        0.6247786E+00

  global error =        0.2211286E-02 iter. number =  1700 denomin. =        0.5985293E+00

  global error =        0.2073487E-02 iter. number =  1800 denomin. =        0.5864832E+00

  global error =        0.2223965E-02 iter. number =  1900 denomin. =        0.5583333E+00

  global error =        0.2078104E-02 iter. number =  2000 denomin. =        0.5374228E+00

  global error =        0.1973249E-02 iter. number =  2100 denomin. =        0.5004281E+00

  global error =        0.1856537E-02 iter. number =  2200 denomin. =        0.4584370E+00

  global error =        0.1947237E-02 iter. number =  2300 denomin. =        0.4205397E+00

  global error =        0.1818996E-02 iter. number =  2400 denomin. =        0.3874672E+00

  global error =        0.1759855E-02 iter. number =  2500 denomin. =        0.3616938E+00

  global error =        0.1652146E-02 iter. number =  2600 denomin. =        0.3442689E+00

  global error =        0.1597812E-02 iter. number =  2700 denomin. =        0.3338555E+00

  global error =        0.1476797E-02 iter. number =  2800 denomin. =        0.3304507E+00

  global error =        0.1262584E-02 iter. number =  2900 denomin. =        0.3281700E+00

  global error =        0.1149013E-02 iter. number =  3000 denomin. =        0.3269268E+00

  global error =        0.1037070E-02 iter. number =  3100 denomin. =        0.3265126E+00

  global error =        0.9640908E-03 iter. number =  3200 denomin. =        0.3270479E+00

  global error =        0.8816191E-03 iter. number =  3300 denomin. =        0.3292268E+00

  global error =        0.8302883E-03 iter. number =  3400 denomin. =        0.3303748E+00

  global error =        0.7891767E-03 iter. number =  3500 denomin. =        0.3345610E+00

  global error =        0.7929606E-03 iter. number =  3600 denomin. =        0.3343305E+00

  global error =        0.7246790E-03 iter. number =  3700 denomin. =        0.3322280E+00

  global error =        0.6833863E-03 iter. number =  3800 denomin. =        0.3305715E+00

  global error =        0.6750422E-03 iter. number =  3900 denomin. =        0.3312687E+00

  global error =        0.6449132E-03 iter. number =  4000 denomin. =        0.3342834E+00

  NO convergence  for freq. #     1 after   4001 inner iterations 
 relative error value reduction =       0.64491316E-03

  enters outime
  leaves outime

 tiempo=       31423.234    
