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

 # control subdomain ncontrol =     0

 Global # elements  in x-direction ngx =   200
 Global # elements  in y-direction ngy =   200

 Local # elements  in x-direction nx =   200
 Local # elements  in y-direction ny =   200

  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=       0.10000000E+01 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=       0.12000000E+01 khz



  w0 =       0.75398224E+01  alfa =       0.18960000E+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  =       0.25000000E+01   khz 

 f4  =       0.26000000E+01   khz 



   maxiter =  max. # inner iterations  4000

   reduc =  relative error required        0.10000000E-03

  number of materials (nmat) =     4

  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


  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


  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


  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

  material number     qp(i)  (Liu model)


     1              0.00000000E+00

     2              0.00000000E+00

     3              0.00000000E+00

     4              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

 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

  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 =     3  ksou =     3

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

  number of receivers, nrec =    81
  xinic    2.0000000000000000     

  yinic    2.0000000000000000     

  xfin    190.00000000000000     

  yfin    2.0000000000000000     

  deltarecx    2.3500000000000001     

  deltarecy    0.0000000000000000     


 receiver i =    1   irx & iry =     3    3
               rx(i) & ry(i) =   2.0000000      2.0000000      m

 receiver i =    2   irx & iry =     5    3
               rx(i) & ry(i) =   4.3500000      2.0000000      m

 receiver i =    3   irx & iry =     7    3
               rx(i) & ry(i) =   6.7000000      2.0000000      m

 receiver i =    4   irx & iry =    10    3
               rx(i) & ry(i) =   9.0500000      2.0000000      m

 receiver i =    5   irx & iry =    12    3
               rx(i) & ry(i) =   11.400000      2.0000000      m

 receiver i =    6   irx & iry =    14    3
               rx(i) & ry(i) =   13.750000      2.0000000      m

 receiver i =    7   irx & iry =    17    3
               rx(i) & ry(i) =   16.100000      2.0000000      m

 receiver i =    8   irx & iry =    19    3
               rx(i) & ry(i) =   18.450000      2.0000000      m

 receiver i =    9   irx & iry =    21    3
               rx(i) & ry(i) =   20.800000      2.0000000      m

 receiver i =   10   irx & iry =    24    3
               rx(i) & ry(i) =   23.150000      2.0000000      m

 receiver i =   11   irx & iry =    26    3
               rx(i) & ry(i) =   25.500000      2.0000000      m

 receiver i =   12   irx & iry =    28    3
               rx(i) & ry(i) =   27.850000      2.0000000      m

 receiver i =   13   irx & iry =    31    3
               rx(i) & ry(i) =   30.200000      2.0000000      m

 receiver i =   14   irx & iry =    33    3
               rx(i) & ry(i) =   32.550000      2.0000000      m

 receiver i =   15   irx & iry =    35    3
               rx(i) & ry(i) =   34.900000      2.0000000      m

 receiver i =   16   irx & iry =    38    3
               rx(i) & ry(i) =   37.250000      2.0000000      m

 receiver i =   17   irx & iry =    40    3
               rx(i) & ry(i) =   39.600000      2.0000000      m

 receiver i =   18   irx & iry =    42    3
               rx(i) & ry(i) =   41.950000      2.0000000      m

 receiver i =   19   irx & iry =    45    3
               rx(i) & ry(i) =   44.300000      2.0000000      m

 receiver i =   20   irx & iry =    47    3
               rx(i) & ry(i) =   46.650000      2.0000000      m

 receiver i =   21   irx & iry =    50    3
               rx(i) & ry(i) =   49.000000      2.0000000      m

 receiver i =   22   irx & iry =    52    3
               rx(i) & ry(i) =   51.350000      2.0000000      m

 receiver i =   23   irx & iry =    54    3
               rx(i) & ry(i) =   53.700000      2.0000000      m

 receiver i =   24   irx & iry =    57    3
               rx(i) & ry(i) =   56.050000      2.0000000      m

 receiver i =   25   irx & iry =    59    3
               rx(i) & ry(i) =   58.400000      2.0000000      m

 receiver i =   26   irx & iry =    61    3
               rx(i) & ry(i) =   60.750000      2.0000000      m

 receiver i =   27   irx & iry =    64    3
               rx(i) & ry(i) =   63.100000      2.0000000      m

 receiver i =   28   irx & iry =    66    3
               rx(i) & ry(i) =   65.450000      2.0000000      m

 receiver i =   29   irx & iry =    68    3
               rx(i) & ry(i) =   67.800000      2.0000000      m

 receiver i =   30   irx & iry =    71    3
               rx(i) & ry(i) =   70.150000      2.0000000      m

 receiver i =   31   irx & iry =    73    3
               rx(i) & ry(i) =   72.500000      2.0000000      m

 receiver i =   32   irx & iry =    75    3
               rx(i) & ry(i) =   74.850000      2.0000000      m

 receiver i =   33   irx & iry =    78    3
               rx(i) & ry(i) =   77.200000      2.0000000      m

 receiver i =   34   irx & iry =    80    3
               rx(i) & ry(i) =   79.550000      2.0000000      m

 receiver i =   35   irx & iry =    82    3
               rx(i) & ry(i) =   81.900000      2.0000000      m

 receiver i =   36   irx & iry =    85    3
               rx(i) & ry(i) =   84.250000      2.0000000      m

 receiver i =   37   irx & iry =    87    3
               rx(i) & ry(i) =   86.600000      2.0000000      m

 receiver i =   38   irx & iry =    89    3
               rx(i) & ry(i) =   88.950000      2.0000000      m

 receiver i =   39   irx & iry =    92    3
               rx(i) & ry(i) =   91.300000      2.0000000      m

 receiver i =   40   irx & iry =    94    3
               rx(i) & ry(i) =   93.650000      2.0000000      m

 receiver i =   41   irx & iry =    97    3
               rx(i) & ry(i) =   96.000000      2.0000000      m

 receiver i =   42   irx & iry =    99    3
               rx(i) & ry(i) =   98.350000      2.0000000      m

 receiver i =   43   irx & iry =   101    3
               rx(i) & ry(i) =   100.70000      2.0000000      m

 receiver i =   44   irx & iry =   104    3
               rx(i) & ry(i) =   103.05000      2.0000000      m

 receiver i =   45   irx & iry =   106    3
               rx(i) & ry(i) =   105.40000      2.0000000      m

 receiver i =   46   irx & iry =   108    3
               rx(i) & ry(i) =   107.75000      2.0000000      m

 receiver i =   47   irx & iry =   111    3
               rx(i) & ry(i) =   110.10000      2.0000000      m

 receiver i =   48   irx & iry =   113    3
               rx(i) & ry(i) =   112.45000      2.0000000      m

 receiver i =   49   irx & iry =   115    3
               rx(i) & ry(i) =   114.80000      2.0000000      m

 receiver i =   50   irx & iry =   118    3
               rx(i) & ry(i) =   117.15000      2.0000000      m

 receiver i =   51   irx & iry =   120    3
               rx(i) & ry(i) =   119.50000      2.0000000      m

 receiver i =   52   irx & iry =   122    3
               rx(i) & ry(i) =   121.85000      2.0000000      m

 receiver i =   53   irx & iry =   125    3
               rx(i) & ry(i) =   124.20000      2.0000000      m

 receiver i =   54   irx & iry =   127    3
               rx(i) & ry(i) =   126.55000      2.0000000      m

 receiver i =   55   irx & iry =   129    3
               rx(i) & ry(i) =   128.90000      2.0000000      m

 receiver i =   56   irx & iry =   132    3
               rx(i) & ry(i) =   131.25000      2.0000000      m

 receiver i =   57   irx & iry =   134    3
               rx(i) & ry(i) =   133.60000      2.0000000      m

 receiver i =   58   irx & iry =   136    3
               rx(i) & ry(i) =   135.95000      2.0000000      m

 receiver i =   59   irx & iry =   139    3
               rx(i) & ry(i) =   138.30000      2.0000000      m

 receiver i =   60   irx & iry =   141    3
               rx(i) & ry(i) =   140.65000      2.0000000      m

 receiver i =   61   irx & iry =   144    3
               rx(i) & ry(i) =   143.00000      2.0000000      m

 receiver i =   62   irx & iry =   146    3
               rx(i) & ry(i) =   145.35000      2.0000000      m

 receiver i =   63   irx & iry =   148    3
               rx(i) & ry(i) =   147.70000      2.0000000      m

 receiver i =   64   irx & iry =   151    3
               rx(i) & ry(i) =   150.05000      2.0000000      m

 receiver i =   65   irx & iry =   153    3
               rx(i) & ry(i) =   152.40000      2.0000000      m

 receiver i =   66   irx & iry =   155    3
               rx(i) & ry(i) =   154.75000      2.0000000      m

 receiver i =   67   irx & iry =   158    3
               rx(i) & ry(i) =   157.10000      2.0000000      m

 receiver i =   68   irx & iry =   160    3
               rx(i) & ry(i) =   159.45000      2.0000000      m

 receiver i =   69   irx & iry =   162    3
               rx(i) & ry(i) =   161.80000      2.0000000      m

 receiver i =   70   irx & iry =   165    3
               rx(i) & ry(i) =   164.15000      2.0000000      m

 receiver i =   71   irx & iry =   167    3
               rx(i) & ry(i) =   166.50000      2.0000000      m

 receiver i =   72   irx & iry =   169    3
               rx(i) & ry(i) =   168.85000      2.0000000      m

 receiver i =   73   irx & iry =   172    3
               rx(i) & ry(i) =   171.20000      2.0000000      m

 receiver i =   74   irx & iry =   174    3
               rx(i) & ry(i) =   173.55000      2.0000000      m

 receiver i =   75   irx & iry =   176    3
               rx(i) & ry(i) =   175.90000      2.0000000      m

 receiver i =   76   irx & iry =   179    3
               rx(i) & ry(i) =   178.25000      2.0000000      m

 receiver i =   77   irx & iry =   181    3
               rx(i) & ry(i) =   180.60000      2.0000000      m

 receiver i =   78   irx & iry =   183    3
               rx(i) & ry(i) =   182.95000      2.0000000      m

 receiver i =   79   irx & iry =   186    3
               rx(i) & ry(i) =   185.30000      2.0000000      m

 receiver i =   80   irx & iry =   188    3
               rx(i) & ry(i) =   187.65000      2.0000000      m

 receiver i =   81   irx & iry =   191    3
               rx(i) & ry(i) =   190.00000      2.0000000      m

  nyquist frequency =       0.48668159E+01 khz

  dt  =       0.10273657E+00  msec

 delf =       0.13000000E-01  khz

 delw =       0.81681409E-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  =       0.25000000E+01   khz 

 f4  =       0.26000000E+01   khz 



  freq. indices for snapshots 
    1      3

  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   193   201

 jw1 - jw2 - jwlow       1    200     10

  pulse length in samples      31

 psi=      0.11520000E+02width=      0.41666667E+00msec

 ts=      0.10416667E+01msec. totpul=      0.31250000E+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 #)    =   200
 from  iyi (y-global grid #)    =     1
 up to yf  (y-global grid #)    =    50
 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                     =       0.10000000E+03 m 
 material type number  numat  =     3

  from  ixi (x-global grid #)    =     1
 up to ixf (x-global grid #)    =   200
 from  iyi (y-global grid #)    =    51
 up to yf  (y-global grid #)    =   100
 material type number  numat    =     3

  from  xi                     =       0.00000000E+00 m  
 up to xf                     =       0.20000000E+03 m 
 from  yi                     =       0.10000000E+03 m  
 up to yf                     =       0.10800000E+03 m 
 material type number  numat  =     4

  from  ixi (x-global grid #)    =     1
 up to ixf (x-global grid #)    =   200
 from  iyi (y-global grid #)    =   101
 up to yf  (y-global grid #)    =   108
 material type number  numat    =     4

  from  xi                     =       0.00000000E+00 m  
 up to xf                     =       0.20000000E+03 m 
 from  yi                     =       0.10800000E+03 m  
 up to yf                     =       0.15000000E+03 m 
 material type number  numat  =     3

  from  ixi (x-global grid #)    =     1
 up to ixf (x-global grid #)    =   200
 from  iyi (y-global grid #)    =   109
 up to yf  (y-global grid #)    =   150
 material type number  numat    =     3

  from  xi                     =       0.00000000E+00 m  
 up to xf                     =       0.20000000E+03 m 
 from  yi                     =       0.15000000E+03 m  
 up to yf                     =       0.20000000E+03 m 
 material type number  numat  =     2

  from  ixi (x-global grid #)    =     1
 up to ixf (x-global grid #)    =   200
 from  iyi (y-global grid #)    =   151
 up to yf  (y-global grid #)    =   200
 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 :       0.25935000E+01
 jw  real sour, imag sour =    200     -0.10988E-02     -0.34516E-03

  global error =        0.2704389E-02 iter. number =   100 denomin. =        0.3409161E-05

  global error =        0.2253715E-02 iter. number =   200 denomin. =        0.3506014E-05

  global error =        0.6954274E-03 iter. number =   300 denomin. =        0.3587301E-05

  global error =        0.1241905E-03 iter. number =   400 denomin. =        0.3593790E-05

  global error =        0.1149379E-03 iter. number =   500 denomin. =        0.3596445E-05

  convergence  for freq. #   200 achieved in   535 inner iterations 
 relative error value =       0.99681079E-04


  frequency number   199 frequency :       0.25805000E+01
 jw  real sour, imag sour =    199     -0.22460E-02     -0.92181E-03

  global error =        0.1867313E-02 iter. number =   100 denomin. =        0.1503228E-04

  global error =        0.1580352E-02 iter. number =   200 denomin. =        0.1543297E-04

  global error =        0.4482243E-03 iter. number =   300 denomin. =        0.1575537E-04

  global error =        0.1054160E-03 iter. number =   400 denomin. =        0.1576436E-04

  convergence  for freq. #   199 achieved in   423 inner iterations 
 relative error value =       0.99896998E-04


  frequency number   198 frequency :       0.25675000E+01
 jw  real sour, imag sour =    198     -0.34133E-02     -0.17533E-02

  global error =        0.1790317E-02 iter. number =   100 denomin. =        0.3715480E-04

  global error =        0.1504028E-02 iter. number =   200 denomin. =        0.3806706E-04

  global error =        0.4034259E-03 iter. number =   300 denomin. =        0.3881035E-04

  global error =        0.1225750E-03 iter. number =   400 denomin. =        0.3888035E-04

  global error =        0.1111868E-03 iter. number =   500 denomin. =        0.3889906E-04

  convergence  for freq. #   198 achieved in   538 inner iterations 
 relative error value =       0.99762992E-04


  frequency number   197 frequency :       0.25545000E+01
 jw  real sour, imag sour =    197     -0.45672E-02     -0.28610E-02

  global error =        0.1878361E-02 iter. number =   100 denomin. =        0.7247410E-04

  global error =        0.1554274E-02 iter. number =   200 denomin. =        0.7418194E-04

  global error =        0.4166679E-03 iter. number =   300 denomin. =        0.7552431E-04

  global error =        0.1769449E-03 iter. number =   400 denomin. =        0.7560829E-04

  global error =        0.1599683E-03 iter. number =   500 denomin. =        0.7558762E-04

  global error =        0.1308967E-03 iter. number =   600 denomin. =        0.7557114E-04

  global error =        0.1335853E-03 iter. number =   700 denomin. =        0.7557257E-04

  global error =        0.1063215E-03 iter. number =   800 denomin. =        0.7557500E-04

  global error =        0.1120531E-03 iter. number =   900 denomin. =        0.7557634E-04

  convergence  for freq. #   197 achieved in   971 inner iterations 
 relative error value =       0.99987117E-04


  frequency number   196 frequency :       0.25415000E+01
 jw  real sour, imag sour =    196     -0.56699E-02     -0.42630E-02

  global error =        0.1956932E-02 iter. number =   100 denomin. =        0.1236607E-03

  global error =        0.1600913E-02 iter. number =   200 denomin. =        0.1263952E-03

  global error =        0.4287513E-03 iter. number =   300 denomin. =        0.1284346E-03

  global error =        0.2020916E-03 iter. number =   400 denomin. =        0.1286334E-03

  global error =        0.1820172E-03 iter. number =   500 denomin. =        0.1287285E-03

  global error =        0.1447099E-03 iter. number =   600 denomin. =        0.1287525E-03

  global error =        0.1464599E-03 iter. number =   700 denomin. =        0.1287573E-03

  global error =        0.1110394E-03 iter. number =   800 denomin. =        0.1287632E-03

  global error =        0.1092750E-03 iter. number =   900 denomin. =        0.1287615E-03

  convergence  for freq. #   196 achieved in   948 inner iterations 
 relative error value =       0.99870134E-04


  frequency number   195 frequency :       0.25285000E+01
 jw  real sour, imag sour =    195     -0.66788E-02     -0.59743E-02

  global error =        0.2053054E-02 iter. number =   100 denomin. =        0.1941769E-03

  global error =        0.1677033E-02 iter. number =   200 denomin. =        0.1983742E-03

  global error =        0.4331382E-03 iter. number =   300 denomin. =        0.2016428E-03

  global error =        0.1961880E-03 iter. number =   400 denomin. =        0.2018238E-03

  global error =        0.1735560E-03 iter. number =   500 denomin. =        0.2018928E-03

  global error =        0.1378349E-03 iter. number =   600 denomin. =        0.2019381E-03

  global error =        0.1432271E-03 iter. number =   700 denomin. =        0.2019462E-03

  global error =        0.1091245E-03 iter. number =   800 denomin. =        0.2019570E-03

  global error =        0.1181089E-03 iter. number =   900 denomin. =        0.2019584E-03

  convergence  for freq. #   195 achieved in   972 inner iterations 
 relative error value =       0.99790748E-04


  frequency number   194 frequency :       0.25155000E+01
 jw  real sour, imag sour =    194     -0.75468E-02     -0.80052E-02

  global error =        0.2139063E-02 iter. number =   100 denomin. =        0.2878476E-03

  global error =        0.1750873E-02 iter. number =   200 denomin. =        0.2935494E-03

  global error =        0.4574859E-03 iter. number =   300 denomin. =        0.2980589E-03

  global error =        0.2582372E-03 iter. number =   400 denomin. =        0.2977479E-03

  global error =        0.2353380E-03 iter. number =   500 denomin. =        0.2973763E-03

  global error =        0.2005432E-03 iter. number =   600 denomin. =        0.2973139E-03

  global error =        0.2046392E-03 iter. number =   700 denomin. =        0.2973197E-03

  global error =        0.1665399E-03 iter. number =   800 denomin. =        0.2973298E-03

  global error =        0.1751037E-03 iter. number =   900 denomin. =        0.2973244E-03

  global error =        0.1438996E-03 iter. number =  1000 denomin. =        0.2973316E-03

  global error =        0.1475740E-03 iter. number =  1100 denomin. =        0.2973293E-03

  global error =        0.1282029E-03 iter. number =  1200 denomin. =        0.2973369E-03

  global error =        0.1238434E-03 iter. number =  1300 denomin. =        0.2973352E-03

  global error =        0.1130882E-03 iter. number =  1400 denomin. =        0.2973272E-03

  global error =        0.1008119E-03 iter. number =  1500 denomin. =        0.2973060E-03

  convergence  for freq. #   194 achieved in  1561 inner iterations 
 relative error value =       0.99970733E-04


  frequency number   193 frequency :       0.25025000E+01
 jw  real sour, imag sour =    193     -0.82228E-02     -0.10361E-01

  global error =        0.2180556E-02 iter. number =   100 denomin. =        0.4063276E-03

  global error =        0.1768676E-02 iter. number =   200 denomin. =        0.4146443E-03

  global error =        0.4330698E-03 iter. number =   300 denomin. =        0.4219472E-03

  global error =        0.2212022E-03 iter. number =   400 denomin. =        0.4226227E-03

  global error =        0.1935704E-03 iter. number =   500 denomin. =        0.4228101E-03

  global error =        0.1587218E-03 iter. number =   600 denomin. =        0.4228925E-03

  global error =        0.1542336E-03 iter. number =   700 denomin. =        0.4228822E-03

  global error =        0.1191466E-03 iter. number =   800 denomin. =        0.4228923E-03

  global error =        0.1187984E-03 iter. number =   900 denomin. =        0.4229114E-03

  convergence  for freq. #   193 achieved in   966 inner iterations 
 relative error value =       0.99791040E-04


  frequency number   192 frequency :       0.24895000E+01
 jw  real sour, imag sour =    192     -0.76905E-02     -0.11592E-01

  global error =        0.2428236E-02 iter. number =   100 denomin. =        0.4521101E-03

  global error =        0.1904017E-02 iter. number =   200 denomin. =        0.4563041E-03

  global error =        0.4576601E-03 iter. number =   300 denomin. =        0.4599762E-03

  global error =        0.2330230E-03 iter. number =   400 denomin. =        0.4605168E-03

  global error =        0.2068589E-03 iter. number =   500 denomin. =        0.4607381E-03

  global error =        0.1653503E-03 iter. number =   600 denomin. =        0.4606893E-03

  global error =        0.1688097E-03 iter. number =   700 denomin. =        0.4606967E-03

  global error =        0.1300444E-03 iter. number =   800 denomin. =        0.4607151E-03

  global error =        0.1342953E-03 iter. number =   900 denomin. =        0.4607333E-03

  global error =        0.1113854E-03 iter. number =  1000 denomin. =        0.4607537E-03

  global error =        0.1113209E-03 iter. number =  1100 denomin. =        0.4607655E-03

  global error =        0.1022379E-03 iter. number =  1200 denomin. =        0.4607625E-03

  convergence  for freq. #   192 achieved in  1212 inner iterations 
 relative error value =       0.99944957E-04


  frequency number   191 frequency :       0.24765000E+01
 jw  real sour, imag sour =    191     -0.70205E-02     -0.12830E-01

  global error =        0.2535313E-02 iter. number =   100 denomin. =        0.4904592E-03

  global error =        0.1976151E-02 iter. number =   200 denomin. =        0.4947386E-03

  global error =        0.5118351E-03 iter. number =   300 denomin. =        0.4971131E-03

  global error =        0.2866064E-03 iter. number =   400 denomin. =        0.4971186E-03

  global error =        0.2593913E-03 iter. number =   500 denomin. =        0.4971042E-03

  global error =        0.2220415E-03 iter. number =   600 denomin. =        0.4970840E-03

  global error =        0.2227181E-03 iter. number =   700 denomin. =        0.4970705E-03

  global error =        0.1832157E-03 iter. number =   800 denomin. =        0.4970765E-03

  global error =        0.1899277E-03 iter. number =   900 denomin. =        0.4970707E-03

  global error =        0.1571156E-03 iter. number =  1000 denomin. =        0.4970501E-03

  global error =        0.1573065E-03 iter. number =  1100 denomin. =        0.4970105E-03

  global error =        0.1345520E-03 iter. number =  1200 denomin. =        0.4970130E-03

  global error =        0.1236558E-03 iter. number =  1300 denomin. =        0.4970495E-03

  global error =        0.1132953E-03 iter. number =  1400 denomin. =        0.4970649E-03

  global error =        0.1015288E-03 iter. number =  1500 denomin. =        0.4970485E-03

  global error =        0.1009915E-03 iter. number =  1600 denomin. =        0.4970177E-03

  convergence  for freq. #   191 achieved in  1607 inner iterations 
 relative error value =       0.99893464E-04


  frequency number   190 frequency :       0.24635000E+01
 jw  real sour, imag sour =    190     -0.62060E-02     -0.14063E-01

  global error =        0.2576914E-02 iter. number =   100 denomin. =        0.5296900E-03

  global error =        0.1994149E-02 iter. number =   200 denomin. =        0.5342066E-03

  global error =        0.5123791E-03 iter. number =   300 denomin. =        0.5364888E-03

  global error =        0.2367044E-03 iter. number =   400 denomin. =        0.5364994E-03

  global error =        0.2143226E-03 iter. number =   500 denomin. =        0.5368406E-03

  global error =        0.1651129E-03 iter. number =   600 denomin. =        0.5370688E-03

  global error =        0.1671405E-03 iter. number =   700 denomin. =        0.5371518E-03

  global error =        0.1295522E-03 iter. number =   800 denomin. =        0.5372247E-03

  global error =        0.1277647E-03 iter. number =   900 denomin. =        0.5372612E-03

  global error =        0.1089366E-03 iter. number =  1000 denomin. =        0.5373252E-03

  convergence  for freq. #   190 achieved in  1036 inner iterations 
 relative error value =       0.99916684E-04


  frequency number   189 frequency :       0.24505000E+01
 jw  real sour, imag sour =    189     -0.52413E-02     -0.15276E-01

  global error =        0.2644024E-02 iter. number =   100 denomin. =        0.5719837E-03

  global error =        0.2064326E-02 iter. number =   200 denomin. =        0.5758163E-03

  global error =        0.5901787E-03 iter. number =   300 denomin. =        0.5787911E-03

  global error =        0.3610011E-03 iter. number =   400 denomin. =        0.5780554E-03

  global error =        0.3426345E-03 iter. number =   500 denomin. =        0.5772615E-03

  global error =        0.2800886E-03 iter. number =   600 denomin. =        0.5771220E-03

  global error =        0.2924211E-03 iter. number =   700 denomin. =        0.5770893E-03

  global error =        0.2423078E-03 iter. number =   800 denomin. =        0.5770639E-03

  global error =        0.2382054E-03 iter. number =   900 denomin. =        0.5770569E-03

  global error =        0.2173771E-03 iter. number =  1000 denomin. =        0.5769986E-03

  global error =        0.1944250E-03 iter. number =  1100 denomin. =        0.5770058E-03

  global error =        0.1901191E-03 iter. number =  1200 denomin. =        0.5769972E-03

  global error =        0.1671907E-03 iter. number =  1300 denomin. =        0.5769909E-03

  global error =        0.1593031E-03 iter. number =  1400 denomin. =        0.5770063E-03

  global error =        0.1467221E-03 iter. number =  1500 denomin. =        0.5769875E-03

  global error =        0.1357648E-03 iter. number =  1600 denomin. =        0.5769852E-03

  global error =        0.1260158E-03 iter. number =  1700 denomin. =        0.5769474E-03

  global error =        0.1186819E-03 iter. number =  1800 denomin. =        0.5769313E-03

  global error =        0.1042660E-03 iter. number =  1900 denomin. =        0.5769534E-03

  global error =        0.1015836E-03 iter. number =  2000 denomin. =        0.5769933E-03

  convergence  for freq. #   189 achieved in  2023 inner iterations 
 relative error value =       0.99986766E-04


  frequency number   188 frequency :       0.24375000E+01
 jw  real sour, imag sour =    188     -0.41217E-02     -0.16455E-01

  global error =        0.2657509E-02 iter. number =   100 denomin. =        0.6135504E-03

  global error =        0.2064054E-02 iter. number =   200 denomin. =        0.6182830E-03

  global error =        0.5388982E-03 iter. number =   300 denomin. =        0.6237953E-03

  global error =        0.3074585E-03 iter. number =   400 denomin. =        0.6238248E-03

  global error =        0.2829493E-03 iter. number =   500 denomin. =        0.6235922E-03

  global error =        0.2136635E-03 iter. number =   600 denomin. =        0.6236301E-03

  global error =        0.2158018E-03 iter. number =   700 denomin. =        0.6236337E-03

  global error =        0.1678339E-03 iter. number =   800 denomin. =        0.6236307E-03

  global error =        0.1552310E-03 iter. number =   900 denomin. =        0.6236442E-03

  global error =        0.1351730E-03 iter. number =  1000 denomin. =        0.6235811E-03

  global error =        0.1119413E-03 iter. number =  1100 denomin. =        0.6235361E-03

  global error =        0.1041036E-03 iter. number =  1200 denomin. =        0.6235050E-03

  convergence  for freq. #   188 achieved in  1223 inner iterations 
 relative error value =       0.99871556E-04


  frequency number   187 frequency :       0.24245000E+01
 jw  real sour, imag sour =    187     -0.28439E-02     -0.17584E-01

  global error =        0.2682715E-02 iter. number =   100 denomin. =        0.6631195E-03

  global error =        0.2064632E-02 iter. number =   200 denomin. =        0.6689678E-03

  global error =        0.4726377E-03 iter. number =   300 denomin. =        0.6753284E-03

  global error =        0.2213798E-03 iter. number =   400 denomin. =        0.6765896E-03

  global error =        0.1867441E-03 iter. number =   500 denomin. =        0.6773596E-03

  global error =        0.1378890E-03 iter. number =   600 denomin. =        0.6774224E-03

  global error =        0.1325673E-03 iter. number =   700 denomin. =        0.6774518E-03

  global error =        0.9989688E-04 iter. number =   800 denomin. =        0.6774560E-03

  convergence  for freq. #   187 achieved in   800 inner iterations 
 relative error value =       0.99896882E-04


  frequency number   186 frequency :       0.24115000E+01
 jw  real sour, imag sour =    186     -0.14059E-02     -0.18644E-01

  global error =        0.2786848E-02 iter. number =   100 denomin. =        0.7172734E-03

  global error =        0.2138063E-02 iter. number =   200 denomin. =        0.7247294E-03

  global error =        0.4943966E-03 iter. number =   300 denomin. =        0.7300676E-03

  global error =        0.2154104E-03 iter. number =   400 denomin. =        0.7305797E-03

  global error =        0.1795649E-03 iter. number =   500 denomin. =        0.7306382E-03

  global error =        0.1466991E-03 iter. number =   600 denomin. =        0.7304312E-03

  global error =        0.1363526E-03 iter. number =   700 denomin. =        0.7304066E-03

  global error =        0.1188527E-03 iter. number =   800 denomin. =        0.7303904E-03

  global error =        0.1065774E-03 iter. number =   900 denomin. =        0.7304102E-03

  global error =        0.1054822E-03 iter. number =  1000 denomin. =        0.7304125E-03

  convergence  for freq. #   186 achieved in  1036 inner iterations 
 relative error value =       0.99947325E-04


  frequency number   185 frequency :       0.23985000E+01
 jw  real sour, imag sour =    185      0.19262E-03     -0.19619E-01

  global error =        0.2849471E-02 iter. number =   100 denomin. =        0.7752127E-03

  global error =        0.2173231E-02 iter. number =   200 denomin. =        0.7820229E-03

  global error =        0.5421185E-03 iter. number =   300 denomin. =        0.7831940E-03

  global error =        0.2260409E-03 iter. number =   400 denomin. =        0.7816863E-03

  global error =        0.1920894E-03 iter. number =   500 denomin. =        0.7818167E-03

  global error =        0.1564393E-03 iter. number =   600 denomin. =        0.7821568E-03

  global error =        0.1336251E-03 iter. number =   700 denomin. =        0.7822919E-03

  global error =        0.1192671E-03 iter. number =   800 denomin. =        0.7823053E-03

  global error =        0.1064276E-03 iter. number =   900 denomin. =        0.7823751E-03

  global error =        0.1017041E-03 iter. number =  1000 denomin. =        0.7824190E-03

  convergence  for freq. #   185 achieved in  1014 inner iterations 
 relative error value =       0.99916706E-04


  frequency number   184 frequency :       0.23855000E+01
 jw  real sour, imag sour =    184      0.19502E-02     -0.20488E-01

  global error =        0.2860984E-02 iter. number =   100 denomin. =        0.8290126E-03

  global error =        0.2174272E-02 iter. number =   200 denomin. =        0.8347249E-03

  global error =        0.6098746E-03 iter. number =   300 denomin. =        0.8382399E-03

  global error =        0.3296756E-03 iter. number =   400 denomin. =        0.8378338E-03

  global error =        0.2769491E-03 iter. number =   500 denomin. =        0.8373847E-03

  global error =        0.2741730E-03 iter. number =   600 denomin. =        0.8371731E-03

  global error =        0.2392953E-03 iter. number =   700 denomin. =        0.8371409E-03

  global error =        0.2317654E-03 iter. number =   800 denomin. =        0.8371642E-03

  global error =        0.2132467E-03 iter. number =   900 denomin. =        0.8371489E-03

  global error =        0.2086111E-03 iter. number =  1000 denomin. =        0.8371733E-03

  global error =        0.1795930E-03 iter. number =  1100 denomin. =        0.8371697E-03

  global error =        0.1798494E-03 iter. number =  1200 denomin. =        0.8371520E-03

  global error =        0.1618400E-03 iter. number =  1300 denomin. =        0.8371325E-03

  global error =        0.1527630E-03 iter. number =  1400 denomin. =        0.8371396E-03

  global error =        0.1426188E-03 iter. number =  1500 denomin. =        0.8371208E-03

  global error =        0.1420021E-03 iter. number =  1600 denomin. =        0.8371079E-03

  global error =        0.1246364E-03 iter. number =  1700 denomin. =        0.8371129E-03

  global error =        0.1231157E-03 iter. number =  1800 denomin. =        0.8371072E-03

  global error =        0.1170348E-03 iter. number =  1900 denomin. =        0.8371094E-03

  global error =        0.1088736E-03 iter. number =  2000 denomin. =        0.8371191E-03

  global error =        0.1003302E-03 iter. number =  2100 denomin. =        0.8371116E-03

  global error =        0.1006325E-03 iter. number =  2200 denomin. =        0.8371051E-03

  convergence  for freq. #   184 achieved in  2220 inner iterations 
 relative error value =       0.99949791E-04


  frequency number   183 frequency :       0.23725000E+01
 jw  real sour, imag sour =    183      0.38636E-02     -0.21234E-01

  global error =        0.2868116E-02 iter. number =   100 denomin. =        0.8883452E-03

  global error =        0.2184302E-02 iter. number =   200 denomin. =        0.8949514E-03

  global error =        0.6065835E-03 iter. number =   300 denomin. =        0.9032887E-03

  global error =        0.3638990E-03 iter. number =   400 denomin. =        0.9036105E-03

  global error =        0.2792106E-03 iter. number =   500 denomin. =        0.9024440E-03

  global error =        0.2774467E-03 iter. number =   600 denomin. =        0.9022804E-03

  global error =        0.2172991E-03 iter. number =   700 denomin. =        0.9023168E-03

  global error =        0.2109572E-03 iter. number =   800 denomin. =        0.9023590E-03

  global error =        0.1742971E-03 iter. number =   900 denomin. =        0.9023175E-03

  global error =        0.1678340E-03 iter. number =  1000 denomin. =        0.9023022E-03

  global error =        0.1294197E-03 iter. number =  1100 denomin. =        0.9022342E-03

  global error =        0.1293457E-03 iter. number =  1200 denomin. =        0.9021727E-03

  global error =        0.1048331E-03 iter. number =  1300 denomin. =        0.9021825E-03

  convergence  for freq. #   183 achieved in  1373 inner iterations 
 relative error value =       0.99999058E-04


  frequency number   182 frequency :       0.23595000E+01
 jw  real sour, imag sour =    182      0.59275E-02     -0.21836E-01

  global error =        0.2869126E-02 iter. number =   100 denomin. =        0.9583236E-03

  global error =        0.2173887E-02 iter. number =   200 denomin. =        0.9665062E-03

  global error =        0.5263974E-03 iter. number =   300 denomin. =        0.9780198E-03

  global error =        0.2554288E-03 iter. number =   400 denomin. =        0.9818352E-03

  global error =        0.1944369E-03 iter. number =   500 denomin. =        0.9833778E-03

  global error =        0.1766224E-03 iter. number =   600 denomin. =        0.9836925E-03

  global error =        0.1455340E-03 iter. number =   700 denomin. =        0.9836766E-03

  global error =        0.1343347E-03 iter. number =   800 denomin. =        0.9836734E-03

  global error =        0.1182145E-03 iter. number =   900 denomin. =        0.9836320E-03

  global error =        0.1104324E-03 iter. number =  1000 denomin. =        0.9836369E-03

  convergence  for freq. #   182 achieved in  1074 inner iterations 
 relative error value =       0.99974626E-04


  frequency number   181 frequency :       0.23465000E+01
 jw  real sour, imag sour =    181      0.81343E-02     -0.22273E-01

  global error =        0.2993894E-02 iter. number =   100 denomin. =        0.1041759E-02

  global error =        0.2277018E-02 iter. number =   200 denomin. =        0.1054080E-02

  global error =        0.5675786E-03 iter. number =   300 denomin. =        0.1064242E-02

  global error =        0.2550124E-03 iter. number =   400 denomin. =        0.1065291E-02

  global error =        0.2069577E-03 iter. number =   500 denomin. =        0.1065379E-02

  global error =        0.1878058E-03 iter. number =   600 denomin. =        0.1064911E-02

  global error =        0.1681951E-03 iter. number =   700 denomin. =        0.1064838E-02

  global error =        0.1490010E-03 iter. number =   800 denomin. =        0.1064811E-02

  global error =        0.1450648E-03 iter. number =   900 denomin. =        0.1064787E-02

  global error =        0.1344172E-03 iter. number =  1000 denomin. =        0.1064769E-02

  global error =        0.1224191E-03 iter. number =  1100 denomin. =        0.1064766E-02

  global error =        0.1198994E-03 iter. number =  1200 denomin. =        0.1064778E-02

  global error =        0.1056044E-03 iter. number =  1300 denomin. =        0.1064807E-02

  convergence  for freq. #   181 achieved in  1368 inner iterations 
 relative error value =       0.99961414E-04


  frequency number   180 frequency :       0.23335000E+01
 jw  real sour, imag sour =    180      0.10474E-01     -0.22527E-01

  global error =        0.3060540E-02 iter. number =   100 denomin. =        0.1129258E-02

  global error =        0.2320536E-02 iter. number =   200 denomin. =        0.1138025E-02

  global error =        0.6013061E-03 iter. number =   300 denomin. =        0.1136758E-02

  global error =        0.2184250E-03 iter. number =   400 denomin. =        0.1131822E-02

  global error =        0.1636997E-03 iter. number =   500 denomin. =        0.1131606E-02

  global error =        0.1452290E-03 iter. number =   600 denomin. =        0.1132073E-02

  global error =        0.1208708E-03 iter. number =   700 denomin. =        0.1132200E-02

  global error =        0.1106326E-03 iter. number =   800 denomin. =        0.1132215E-02

  convergence  for freq. #   180 achieved in   878 inner iterations 
 relative error value =       0.99994377E-04


  frequency number   179 frequency :       0.23205000E+01
 jw  real sour, imag sour =    179      0.12935E-01     -0.22575E-01

  global error =        0.3000381E-02 iter. number =   100 denomin. =        0.1199814E-02

  global error =        0.2245515E-02 iter. number =   200 denomin. =        0.1208758E-02

  global error =        0.6453654E-03 iter. number =   300 denomin. =        0.1214579E-02

  global error =        0.2341748E-03 iter. number =   400 denomin. =        0.1215439E-02

  global error =        0.1871608E-03 iter. number =   500 denomin. =        0.1215646E-02

  global error =        0.1627543E-03 iter. number =   600 denomin. =        0.1215590E-02

  global error =        0.1608532E-03 iter. number =   700 denomin. =        0.1215594E-02

  global error =        0.1334205E-03 iter. number =   800 denomin. =        0.1215656E-02

  global error =        0.1279230E-03 iter. number =   900 denomin. =        0.1215705E-02

  global error =        0.1155980E-03 iter. number =  1000 denomin. =        0.1215770E-02

  global error =        0.1114363E-03 iter. number =  1100 denomin. =        0.1215845E-02

  global error =        0.1044684E-03 iter. number =  1200 denomin. =        0.1215944E-02

  convergence  for freq. #   179 achieved in  1252 inner iterations 
 relative error value =       0.99999393E-04


  frequency number   178 frequency :       0.23075000E+01
 jw  real sour, imag sour =    178      0.15503E-01     -0.22400E-01

  global error =        0.3015934E-02 iter. number =   100 denomin. =        0.1293209E-02

  global error =        0.2264109E-02 iter. number =   200 denomin. =        0.1303611E-02

  global error =        0.7272346E-03 iter. number =   300 denomin. =        0.1317425E-02

  global error =        0.3740366E-03 iter. number =   400 denomin. =        0.1320911E-02

  global error =        0.3277810E-03 iter. number =   500 denomin. =        0.1319229E-02

  global error =        0.2812525E-03 iter. number =   600 denomin. =        0.1318848E-02

  global error =        0.2745583E-03 iter. number =   700 denomin. =        0.1318883E-02

  global error =        0.2247170E-03 iter. number =   800 denomin. =        0.1318901E-02

  global error =        0.2181427E-03 iter. number =   900 denomin. =        0.1318953E-02

  global error =        0.1866869E-03 iter. number =  1000 denomin. =        0.1318931E-02

  global error =        0.1822496E-03 iter. number =  1100 denomin. =        0.1318970E-02

  global error =        0.1612359E-03 iter. number =  1200 denomin. =        0.1319068E-02

  global error =        0.1444213E-03 iter. number =  1300 denomin. =        0.1319161E-02

  global error =        0.1344887E-03 iter. number =  1400 denomin. =        0.1319164E-02

  global error =        0.1170157E-03 iter. number =  1500 denomin. =        0.1319123E-02

  global error =        0.1080160E-03 iter. number =  1600 denomin. =        0.1319147E-02

  convergence  for freq. #   178 achieved in  1654 inner iterations 
 relative error value =       0.99920126E-04


  frequency number   177 frequency :       0.22945000E+01
 jw  real sour, imag sour =    177      0.18160E-01     -0.21981E-01

  global error =        0.3055951E-02 iter. number =   100 denomin. =        0.1406200E-02

  global error =        0.2294903E-02 iter. number =   200 denomin. =        0.1420714E-02

  global error =        0.7329122E-03 iter. number =   300 denomin. =        0.1440189E-02

  global error =        0.3964097E-03 iter. number =   400 denomin. =        0.1449751E-02

  global error =        0.3408367E-03 iter. number =   500 denomin. =        0.1452848E-02

  global error =        0.2866041E-03 iter. number =   600 denomin. =        0.1453920E-02

  global error =        0.2869633E-03 iter. number =   700 denomin. =        0.1454027E-02

  global error =        0.2439962E-03 iter. number =   800 denomin. =        0.1454095E-02

  global error =        0.2297616E-03 iter. number =   900 denomin. =        0.1454046E-02

  global error =        0.2053027E-03 iter. number =  1000 denomin. =        0.1453982E-02

  global error =        0.2048296E-03 iter. number =  1100 denomin. =        0.1453958E-02

  global error =        0.1910576E-03 iter. number =  1200 denomin. =        0.1453948E-02

  global error =        0.1651881E-03 iter. number =  1300 denomin. =        0.1454018E-02

  global error =        0.1684387E-03 iter. number =  1400 denomin. =        0.1454033E-02

  global error =        0.1549163E-03 iter. number =  1500 denomin. =        0.1454068E-02

  global error =        0.1510334E-03 iter. number =  1600 denomin. =        0.1454017E-02

  global error =        0.1355461E-03 iter. number =  1700 denomin. =        0.1453974E-02

  global error =        0.1344412E-03 iter. number =  1800 denomin. =        0.1453954E-02

  global error =        0.1306777E-03 iter. number =  1900 denomin. =        0.1453963E-02

  global error =        0.1159520E-03 iter. number =  2000 denomin. =        0.1453966E-02

  global error =        0.1148968E-03 iter. number =  2100 denomin. =        0.1453930E-02

  global error =        0.1054340E-03 iter. number =  2200 denomin. =        0.1453875E-02

  global error =        0.1033566E-03 iter. number =  2300 denomin. =        0.1453766E-02

  convergence  for freq. #   177 achieved in  2320 inner iterations 
 relative error value =       0.99897550E-04


  frequency number   176 frequency :       0.22815000E+01
 jw  real sour, imag sour =    176      0.20887E-01     -0.21301E-01

  global error =        0.3198294E-02 iter. number =   100 denomin. =        0.1546913E-02

  global error =        0.2416129E-02 iter. number =   200 denomin. =        0.1564926E-02

  global error =        0.7515789E-03 iter. number =   300 denomin. =        0.1575637E-02

  global error =        0.3300061E-03 iter. number =   400 denomin. =        0.1574483E-02

  global error =        0.2647384E-03 iter. number =   500 denomin. =        0.1572173E-02

  global error =        0.2293212E-03 iter. number =   600 denomin. =        0.1570329E-02

  global error =        0.2145189E-03 iter. number =   700 denomin. =        0.1569881E-02

  global error =        0.1803176E-03 iter. number =   800 denomin. =        0.1569762E-02

  global error =        0.1692883E-03 iter. number =   900 denomin. =        0.1569745E-02

  global error =        0.1542911E-03 iter. number =  1000 denomin. =        0.1569758E-02

  global error =        0.1434129E-03 iter. number =  1100 denomin. =        0.1569789E-02

  global error =        0.1272076E-03 iter. number =  1200 denomin. =        0.1569771E-02

  global error =        0.1154023E-03 iter. number =  1300 denomin. =        0.1569749E-02

  global error =        0.1100767E-03 iter. number =  1400 denomin. =        0.1569734E-02

  convergence  for freq. #   176 achieved in  1484 inner iterations 
 relative error value =       0.99976806E-04


  frequency number   175 frequency :       0.22685000E+01
 jw  real sour, imag sour =    175      0.23662E-01     -0.20344E-01

  global error =        0.3189592E-02 iter. number =   100 denomin. =        0.1670935E-02

  global error =        0.2407129E-02 iter. number =   200 denomin. =        0.1682866E-02

  global error =        0.7515206E-03 iter. number =   300 denomin. =        0.1682552E-02

  global error =        0.2825269E-03 iter. number =   400 denomin. =        0.1680632E-02

  global error =        0.2073312E-03 iter. number =   500 denomin. =        0.1682892E-02

  global error =        0.1779613E-03 iter. number =   600 denomin. =        0.1684732E-02

  global error =        0.1549437E-03 iter. number =   700 denomin. =        0.1685066E-02

  global error =        0.1284968E-03 iter. number =   800 denomin. =        0.1685124E-02

  global error =        0.1158595E-03 iter. number =   900 denomin. =        0.1685144E-02

  global error =        0.1007005E-03 iter. number =  1000 denomin. =        0.1685150E-02

  convergence  for freq. #   175 achieved in  1004 inner iterations 
 relative error value =       0.99995095E-04


  frequency number   174 frequency :       0.22555000E+01
 jw  real sour, imag sour =    174      0.26460E-01     -0.19093E-01

  global error =        0.3136401E-02 iter. number =   100 denomin. =        0.1797877E-02

  global error =        0.2358513E-02 iter. number =   200 denomin. =        0.1816412E-02

  global error =        0.7999243E-03 iter. number =   300 denomin. =        0.1834275E-02

  global error =        0.2873076E-03 iter. number =   400 denomin. =        0.1841888E-02

  global error =        0.2158081E-03 iter. number =   500 denomin. =        0.1840671E-02

  global error =        0.1903524E-03 iter. number =   600 denomin. =        0.1839515E-02

  global error =        0.1782014E-03 iter. number =   700 denomin. =        0.1839336E-02

  global error =        0.1527467E-03 iter. number =   800 denomin. =        0.1839428E-02

  global error =        0.1518773E-03 iter. number =   900 denomin. =        0.1839512E-02

  global error =        0.1404065E-03 iter. number =  1000 denomin. =        0.1839607E-02

  global error =        0.1278215E-03 iter. number =  1100 denomin. =        0.1839719E-02

  global error =        0.1220939E-03 iter. number =  1200 denomin. =        0.1839767E-02

  global error =        0.1168231E-03 iter. number =  1300 denomin. =        0.1839797E-02

  global error =        0.1111328E-03 iter. number =  1400 denomin. =        0.1839900E-02

  convergence  for freq. #   174 achieved in  1486 inner iterations 
 relative error value =       0.99978251E-04


  frequency number   173 frequency :       0.22425000E+01
 jw  real sour, imag sour =    173      0.29255E-01     -0.17535E-01

  global error =        0.3195725E-02 iter. number =   100 denomin. =        0.1968792E-02

  global error =        0.2408260E-02 iter. number =   200 denomin. =        0.1986291E-02

  global error =        0.8914223E-03 iter. number =   300 denomin. =        0.2005615E-02

  global error =        0.4144504E-03 iter. number =   400 denomin. =        0.2013312E-02

  global error =        0.3355646E-03 iter. number =   500 denomin. =        0.2012367E-02

  global error =        0.3031579E-03 iter. number =   600 denomin. =        0.2012859E-02

  global error =        0.2861624E-03 iter. number =   700 denomin. =        0.2013193E-02

  global error =        0.2508484E-03 iter. number =   800 denomin. =        0.2013470E-02

  global error =        0.2426494E-03 iter. number =   900 denomin. =        0.2013683E-02

  global error =        0.2146179E-03 iter. number =  1000 denomin. =        0.2013762E-02

  global error =        0.1985371E-03 iter. number =  1100 denomin. =        0.2013758E-02

  global error =        0.1785306E-03 iter. number =  1200 denomin. =        0.2013779E-02

  global error =        0.1692671E-03 iter. number =  1300 denomin. =        0.2013986E-02

  global error =        0.1518481E-03 iter. number =  1400 denomin. =        0.2014227E-02

  global error =        0.1338432E-03 iter. number =  1500 denomin. =        0.2014252E-02

  global error =        0.1263305E-03 iter. number =  1600 denomin. =        0.2014154E-02

  global error =        0.1162858E-03 iter. number =  1700 denomin. =        0.2014086E-02

  global error =        0.1080080E-03 iter. number =  1800 denomin. =        0.2014011E-02

  convergence  for freq. #   173 achieved in  1860 inner iterations 
 relative error value =       0.99912444E-04


  frequency number   172 frequency :       0.22295000E+01
 jw  real sour, imag sour =    172      0.32018E-01     -0.15660E-01

  global error =        0.3248544E-02 iter. number =   100 denomin. =        0.2160805E-02

  global error =        0.2438578E-02 iter. number =   200 denomin. =        0.2187765E-02

  global error =        0.9670969E-03 iter. number =   300 denomin. =        0.2211444E-02

  global error =        0.4825250E-03 iter. number =   400 denomin. =        0.2224761E-02

  global error =        0.3822162E-03 iter. number =   500 denomin. =        0.2228906E-02

  global error =        0.3764677E-03 iter. number =   600 denomin. =        0.2229078E-02

  global error =        0.3415792E-03 iter. number =   700 denomin. =        0.2229239E-02

  global error =        0.3164850E-03 iter. number =   800 denomin. =        0.2229197E-02

  global error =        0.2880204E-03 iter. number =   900 denomin. =        0.2229192E-02

  global error =        0.2797357E-03 iter. number =  1000 denomin. =        0.2229146E-02

  global error =        0.2533278E-03 iter. number =  1100 denomin. =        0.2229154E-02

  global error =        0.2388874E-03 iter. number =  1200 denomin. =        0.2229018E-02

  global error =        0.2279849E-03 iter. number =  1300 denomin. =        0.2229003E-02

  global error =        0.2127411E-03 iter. number =  1400 denomin. =        0.2228971E-02

  global error =        0.1937677E-03 iter. number =  1500 denomin. =        0.2228911E-02

  global error =        0.1839354E-03 iter. number =  1600 denomin. =        0.2228952E-02

  global error =        0.1801753E-03 iter. number =  1700 denomin. =        0.2228972E-02

  global error =        0.1629620E-03 iter. number =  1800 denomin. =        0.2229029E-02

  global error =        0.1577938E-03 iter. number =  1900 denomin. =        0.2229116E-02

  global error =        0.1459916E-03 iter. number =  2000 denomin. =        0.2229151E-02

  global error =        0.1401044E-03 iter. number =  2100 denomin. =        0.2229043E-02

  global error =        0.1234403E-03 iter. number =  2200 denomin. =        0.2228995E-02

  global error =        0.1234082E-03 iter. number =  2300 denomin. =        0.2229011E-02

  global error =        0.1079812E-03 iter. number =  2400 denomin. =        0.2229191E-02

  global error =        0.1051835E-03 iter. number =  2500 denomin. =        0.2229390E-02

  convergence  for freq. #   172 achieved in  2534 inner iterations 
 relative error value =       0.99949362E-04


  frequency number   171 frequency :       0.22165000E+01
 jw  real sour, imag sour =    171      0.34716E-01     -0.13457E-01

  global error =        0.3336971E-02 iter. number =   100 denomin. =        0.2390074E-02

  global error =        0.2536196E-02 iter. number =   200 denomin. =        0.2414196E-02

  global error =        0.1027073E-02 iter. number =   300 denomin. =        0.2427286E-02

  global error =        0.4574411E-03 iter. number =   400 denomin. =        0.2435685E-02

  global error =        0.3476246E-03 iter. number =   500 denomin. =        0.2435059E-02

  global error =        0.3346654E-03 iter. number =   600 denomin. =        0.2433080E-02

  global error =        0.2986709E-03 iter. number =   700 denomin. =        0.2432399E-02

  global error =        0.2595356E-03 iter. number =   800 denomin. =        0.2432172E-02

  global error =        0.2372144E-03 iter. number =   900 denomin. =        0.2432234E-02

  global error =        0.2178767E-03 iter. number =  1000 denomin. =        0.2432138E-02

  global error =        0.1965551E-03 iter. number =  1100 denomin. =        0.2431839E-02

  global error =        0.1724768E-03 iter. number =  1200 denomin. =        0.2431578E-02

  global error =        0.1630149E-03 iter. number =  1300 denomin. =        0.2431391E-02

  global error =        0.1373635E-03 iter. number =  1400 denomin. =        0.2431468E-02

  global error =        0.1254454E-03 iter. number =  1500 denomin. =        0.2431557E-02

  global error =        0.1106287E-03 iter. number =  1600 denomin. =        0.2431551E-02

  global error =        0.1056775E-03 iter. number =  1700 denomin. =        0.2431360E-02

  convergence  for freq. #   171 achieved in  1734 inner iterations 
 relative error value =       0.99857063E-04


  frequency number   170 frequency :       0.22035000E+01
 jw  real sour, imag sour =    170      0.37317E-01     -0.10921E-01

  global error =        0.3301873E-02 iter. number =   100 denomin. =        0.2614980E-02

  global error =        0.2529869E-02 iter. number =   200 denomin. =        0.2646624E-02

  global error =        0.9555814E-03 iter. number =   300 denomin. =        0.2684988E-02

  global error =        0.3082130E-03 iter. number =   400 denomin. =        0.2706109E-02

  global error =        0.1955558E-03 iter. number =   500 denomin. =        0.2711986E-02

  global error =        0.1789137E-03 iter. number =   600 denomin. =        0.2715901E-02

  global error =        0.1544396E-03 iter. number =   700 denomin. =        0.2716818E-02

  global error =        0.1349572E-03 iter. number =   800 denomin. =        0.2717121E-02

  global error =        0.1241324E-03 iter. number =   900 denomin. =        0.2717360E-02

  global error =        0.1029481E-03 iter. number =  1000 denomin. =        0.2717552E-02

  convergence  for freq. #   170 achieved in  1043 inner iterations 
 relative error value =       0.99933859E-04


  frequency number   169 frequency :       0.21905000E+01
 jw  real sour, imag sour =    169      0.39785E-01     -0.80495E-02

  global error =        0.3434952E-02 iter. number =   100 denomin. =        0.2925629E-02

  global error =        0.2663864E-02 iter. number =   200 denomin. =        0.2949654E-02

  global error =        0.9904002E-03 iter. number =   300 denomin. =        0.2985142E-02

  global error =        0.4179396E-03 iter. number =   400 denomin. =        0.2965135E-02

  global error =        0.3090282E-03 iter. number =   500 denomin. =        0.2948150E-02

  global error =        0.3001881E-03 iter. number =   600 denomin. =        0.2943454E-02

  global error =        0.2651133E-03 iter. number =   700 denomin. =        0.2943477E-02

  global error =        0.2589126E-03 iter. number =   800 denomin. =        0.2943795E-02

  global error =        0.2424567E-03 iter. number =   900 denomin. =        0.2943875E-02

  global error =        0.2209970E-03 iter. number =  1000 denomin. =        0.2943952E-02

  global error =        0.2185313E-03 iter. number =  1100 denomin. =        0.2943867E-02

  global error =        0.2014123E-03 iter. number =  1200 denomin. =        0.2943911E-02

  global error =        0.1903126E-03 iter. number =  1300 denomin. =        0.2943927E-02

  global error =        0.1850604E-03 iter. number =  1400 denomin. =        0.2943838E-02

  global error =        0.1732467E-03 iter. number =  1500 denomin. =        0.2943933E-02

  global error =        0.1600006E-03 iter. number =  1600 denomin. =        0.2944063E-02

  global error =        0.1601087E-03 iter. number =  1700 denomin. =        0.2944097E-02

  global error =        0.1431462E-03 iter. number =  1800 denomin. =        0.2944048E-02

  global error =        0.1369074E-03 iter. number =  1900 denomin. =        0.2943816E-02

  global error =        0.1278765E-03 iter. number =  2000 denomin. =        0.2943587E-02

  global error =        0.1161992E-03 iter. number =  2100 denomin. =        0.2943649E-02

  global error =        0.1093255E-03 iter. number =  2200 denomin. =        0.2943936E-02

  global error =        0.1035962E-03 iter. number =  2300 denomin. =        0.2944282E-02

  convergence  for freq. #   169 achieved in  2334 inner iterations 
 relative error value =       0.99922330E-04


  frequency number   168 frequency :       0.21775000E+01
 jw  real sour, imag sour =    168      0.42085E-01     -0.48417E-02

  global error =        0.3326915E-02 iter. number =   100 denomin. =        0.3173337E-02

  global error =        0.2546194E-02 iter. number =   200 denomin. =        0.3202853E-02

  global error =        0.9024272E-03 iter. number =   300 denomin. =        0.3243264E-02

  global error =        0.4198925E-03 iter. number =   400 denomin. =        0.3238431E-02

  global error =        0.3116342E-03 iter. number =   500 denomin. =        0.3245617E-02

  global error =        0.2933800E-03 iter. number =   600 denomin. =        0.3249309E-02

  global error =        0.2554185E-03 iter. number =   700 denomin. =        0.3249523E-02

  global error =        0.2396766E-03 iter. number =   800 denomin. =        0.3249440E-02

  global error =        0.2246623E-03 iter. number =   900 denomin. =        0.3249796E-02

  global error =        0.1947482E-03 iter. number =  1000 denomin. =        0.3249781E-02

  global error =        0.1918426E-03 iter. number =  1100 denomin. =        0.3249592E-02

  global error =        0.1689583E-03 iter. number =  1200 denomin. =        0.3249498E-02

  global error =        0.1525134E-03 iter. number =  1300 denomin. =        0.3249579E-02

  global error =        0.1437431E-03 iter. number =  1400 denomin. =        0.3249800E-02

  global error =        0.1244476E-03 iter. number =  1500 denomin. =        0.3250046E-02

  global error =        0.1083146E-03 iter. number =  1600 denomin. =        0.3250052E-02

  global error =        0.1054193E-03 iter. number =  1700 denomin. =        0.3249891E-02

  convergence  for freq. #   168 achieved in  1744 inner iterations 
 relative error value =       0.99985420E-04


  frequency number   167 frequency :       0.21645000E+01
 jw  real sour, imag sour =    167      0.44177E-01     -0.13017E-02

  global error =        0.3346125E-02 iter. number =   100 denomin. =        0.3507061E-02

  global error =        0.2565090E-02 iter. number =   200 denomin. =        0.3562496E-02

  global error =        0.9844314E-03 iter. number =   300 denomin. =        0.3634379E-02

  global error =        0.4138586E-03 iter. number =   400 denomin. =        0.3656976E-02

  global error =        0.3080502E-03 iter. number =   500 denomin. =        0.3669037E-02

  global error =        0.2857638E-03 iter. number =   600 denomin. =        0.3666002E-02

  global error =        0.2482532E-03 iter. number =   700 denomin. =        0.3664666E-02

  global error =        0.2474546E-03 iter. number =   800 denomin. =        0.3664058E-02

  global error =        0.2232875E-03 iter. number =   900 denomin. =        0.3664029E-02

  global error =        0.2000232E-03 iter. number =  1000 denomin. =        0.3663927E-02

  global error =        0.1998465E-03 iter. number =  1100 denomin. =        0.3664055E-02

  global error =        0.1756752E-03 iter. number =  1200 denomin. =        0.3664068E-02

  global error =        0.1668574E-03 iter. number =  1300 denomin. =        0.3663766E-02

  global error =        0.1624874E-03 iter. number =  1400 denomin. =        0.3663783E-02

  global error =        0.1445912E-03 iter. number =  1500 denomin. =        0.3663903E-02

  global error =        0.1389440E-03 iter. number =  1600 denomin. =        0.3663947E-02

  global error =        0.1296639E-03 iter. number =  1700 denomin. =        0.3664074E-02

  global error =        0.1176706E-03 iter. number =  1800 denomin. =        0.3663829E-02

  global error =        0.1097218E-03 iter. number =  1900 denomin. =        0.3663679E-02

  convergence  for freq. #   167 achieved in  1989 inner iterations 
 relative error value =       0.99952207E-04


  frequency number   166 frequency :       0.21515000E+01
 jw  real sour, imag sour =    166      0.46022E-01      0.25627E-02

  global error =        0.3478024E-02 iter. number =   100 denomin. =        0.3977012E-02

  global error =        0.2713682E-02 iter. number =   200 denomin. =        0.4044714E-02

  global error =        0.1023550E-02 iter. number =   300 denomin. =        0.4141177E-02

  global error =        0.3952541E-03 iter. number =   400 denomin. =        0.4182157E-02

  global error =        0.2689905E-03 iter. number =   500 denomin. =        0.4195123E-02

  global error =        0.2473230E-03 iter. number =   600 denomin. =        0.4201870E-02

  global error =        0.2084890E-03 iter. number =   700 denomin. =        0.4204366E-02

  global error =        0.2022921E-03 iter. number =   800 denomin. =        0.4205612E-02

  global error =        0.1856372E-03 iter. number =   900 denomin. =        0.4206160E-02

  global error =        0.1648937E-03 iter. number =  1000 denomin. =        0.4206465E-02

  global error =        0.1594010E-03 iter. number =  1100 denomin. =        0.4206605E-02

  global error =        0.1402989E-03 iter. number =  1200 denomin. =        0.4206885E-02

  global error =        0.1273154E-03 iter. number =  1300 denomin. =        0.4207279E-02

  global error =        0.1187900E-03 iter. number =  1400 denomin. =        0.4207538E-02

  global error =        0.1026984E-03 iter. number =  1500 denomin. =        0.4207635E-02

  convergence  for freq. #   166 achieved in  1530 inner iterations 
 relative error value =       0.99938812E-04


  frequency number   165 frequency :       0.21385000E+01
 jw  real sour, imag sour =    165      0.47582E-01      0.67399E-02

  global error =        0.3678823E-02 iter. number =   100 denomin. =        0.4538375E-02

  global error =        0.2900716E-02 iter. number =   200 denomin. =        0.4564023E-02

  global error =        0.1006535E-02 iter. number =   300 denomin. =        0.4615032E-02

  global error =        0.4850302E-03 iter. number =   400 denomin. =        0.4535108E-02

  global error =        0.3900416E-03 iter. number =   500 denomin. =        0.4484343E-02

  global error =        0.3522054E-03 iter. number =   600 denomin. =        0.4474960E-02

  global error =        0.3049352E-03 iter. number =   700 denomin. =        0.4475137E-02

  global error =        0.3112816E-03 iter. number =   800 denomin. =        0.4475817E-02

  global error =        0.2763275E-03 iter. number =   900 denomin. =        0.4475794E-02

  global error =        0.2511228E-03 iter. number =  1000 denomin. =        0.4475881E-02

  global error =        0.2478833E-03 iter. number =  1100 denomin. =        0.4475883E-02

  global error =        0.2177622E-03 iter. number =  1200 denomin. =        0.4475699E-02

  global error =        0.2088506E-03 iter. number =  1300 denomin. =        0.4475650E-02

  global error =        0.2011916E-03 iter. number =  1400 denomin. =        0.4475405E-02

  global error =        0.1779182E-03 iter. number =  1500 denomin. =        0.4475003E-02

  global error =        0.1717083E-03 iter. number =  1600 denomin. =        0.4474765E-02

  global error =        0.1630066E-03 iter. number =  1700 denomin. =        0.4474611E-02

  global error =        0.1484973E-03 iter. number =  1800 denomin. =        0.4474660E-02

  global error =        0.1387864E-03 iter. number =  1900 denomin. =        0.4474657E-02

  global error =        0.1273860E-03 iter. number =  2000 denomin. =        0.4474239E-02

  global error =        0.1172350E-03 iter. number =  2100 denomin. =        0.4473724E-02

  global error =        0.1070326E-03 iter. number =  2200 denomin. =        0.4473528E-02

  convergence  for freq. #   165 achieved in  2280 inner iterations 
 relative error value =       0.99924725E-04


  frequency number   164 frequency :       0.21255000E+01
 jw  real sour, imag sour =    164      0.48817E-01      0.11214E-01

  global error =        0.3445089E-02 iter. number =   100 denomin. =        0.4870261E-02

  global error =        0.2662408E-02 iter. number =   200 denomin. =        0.4923745E-02

  global error =        0.7184137E-03 iter. number =   300 denomin. =        0.5015477E-02

  global error =        0.3428446E-03 iter. number =   400 denomin. =        0.4999234E-02

  global error =        0.2383742E-03 iter. number =   500 denomin. =        0.5015177E-02

  global error =        0.2047705E-03 iter. number =   600 denomin. =        0.5021266E-02

  global error =        0.1759873E-03 iter. number =   700 denomin. =        0.5019624E-02

  global error =        0.1704792E-03 iter. number =   800 denomin. =        0.5019235E-02

  global error =        0.1456176E-03 iter. number =   900 denomin. =        0.5019507E-02

  global error =        0.1307014E-03 iter. number =  1000 denomin. =        0.5019880E-02

  global error =        0.1239097E-03 iter. number =  1100 denomin. =        0.5019956E-02

  global error =        0.1061749E-03 iter. number =  1200 denomin. =        0.5019818E-02

  convergence  for freq. #   164 achieved in  1245 inner iterations 
 relative error value =       0.99927120E-04


  frequency number   163 frequency :       0.21125000E+01
 jw  real sour, imag sour =    163      0.49686E-01      0.15964E-01

  global error =        0.3430835E-02 iter. number =   100 denomin. =        0.5428947E-02

  global error =        0.2666710E-02 iter. number =   200 denomin. =        0.5524796E-02

  global error =        0.7292558E-03 iter. number =   300 denomin. =        0.5688323E-02

  global error =        0.3624120E-03 iter. number =   400 denomin. =        0.5729340E-02

  global error =        0.2768708E-03 iter. number =   500 denomin. =        0.5755596E-02

  global error =        0.2693306E-03 iter. number =   600 denomin. =        0.5751927E-02

  global error =        0.2446335E-03 iter. number =   700 denomin. =        0.5752657E-02

  global error =        0.2242621E-03 iter. number =   800 denomin. =        0.5752763E-02

  global error =        0.2222232E-03 iter. number =   900 denomin. =        0.5752815E-02

  global error =        0.2039216E-03 iter. number =  1000 denomin. =        0.5752903E-02

  global error =        0.1938094E-03 iter. number =  1100 denomin. =        0.5753117E-02

  global error =        0.1891454E-03 iter. number =  1200 denomin. =        0.5753374E-02

  global error =        0.1783019E-03 iter. number =  1300 denomin. =        0.5753491E-02

  global error =        0.1732493E-03 iter. number =  1400 denomin. =        0.5753779E-02

  global error =        0.1623722E-03 iter. number =  1500 denomin. =        0.5753986E-02

  global error =        0.1574387E-03 iter. number =  1600 denomin. =        0.5753998E-02

  global error =        0.1517666E-03 iter. number =  1700 denomin. =        0.5754243E-02

  global error =        0.1398465E-03 iter. number =  1800 denomin. =        0.5754483E-02

  global error =        0.1317736E-03 iter. number =  1900 denomin. =        0.5754662E-02

  global error =        0.1243936E-03 iter. number =  2000 denomin. =        0.5754855E-02

  global error =        0.1130116E-03 iter. number =  2100 denomin. =        0.5754934E-02

  global error =        0.1053683E-03 iter. number =  2200 denomin. =        0.5755036E-02

  global error =        0.1020430E-03 iter. number =  2300 denomin. =        0.5755224E-02

  convergence  for freq. #   163 achieved in  2327 inner iterations 
 relative error value =       0.99917872E-04


  frequency number   162 frequency :       0.20995000E+01
 jw  real sour, imag sour =    162      0.50152E-01      0.20966E-01

  global error =        0.3680381E-02 iter. number =   100 denomin. =        0.6262158E-02

  global error =        0.2903959E-02 iter. number =   200 denomin. =        0.6408803E-02

  global error =        0.8773180E-03 iter. number =   300 denomin. =        0.6587780E-02

  global error =        0.4403471E-03 iter. number =   400 denomin. =        0.6620004E-02

  global error =        0.3534505E-03 iter. number =   500 denomin. =        0.6633854E-02

  global error =        0.3445828E-03 iter. number =   600 denomin. =        0.6642562E-02

  global error =        0.3059642E-03 iter. number =   700 denomin. =        0.6644035E-02

  global error =        0.2809317E-03 iter. number =   800 denomin. =        0.6645413E-02

  global error =        0.2748084E-03 iter. number =   900 denomin. =        0.6645943E-02

  global error =        0.2476152E-03 iter. number =  1000 denomin. =        0.6646556E-02

  global error =        0.2291552E-03 iter. number =  1100 denomin. =        0.6647187E-02

  global error =        0.2165619E-03 iter. number =  1200 denomin. =        0.6647694E-02

  global error =        0.1999123E-03 iter. number =  1300 denomin. =        0.6648082E-02

  global error =        0.1781071E-03 iter. number =  1400 denomin. =        0.6648469E-02

  global error =        0.1605552E-03 iter. number =  1500 denomin. =        0.6648337E-02

  global error =        0.1511830E-03 iter. number =  1600 denomin. =        0.6648293E-02

  global error =        0.1372277E-03 iter. number =  1700 denomin. =        0.6648315E-02

  global error =        0.1284242E-03 iter. number =  1800 denomin. =        0.6648412E-02

  global error =        0.1238957E-03 iter. number =  1900 denomin. =        0.6648461E-02

  global error =        0.1170745E-03 iter. number =  2000 denomin. =        0.6648387E-02

  global error =        0.1098985E-03 iter. number =  2100 denomin. =        0.6648381E-02

  global error =        0.1047430E-03 iter. number =  2200 denomin. =        0.6648477E-02

  convergence  for freq. #   162 achieved in  2249 inner iterations 
 relative error value =       0.99985423E-04


  frequency number   161 frequency :       0.20865000E+01
 jw  real sour, imag sour =    161      0.50176E-01      0.26189E-01

  global error =        0.3816149E-02 iter. number =   100 denomin. =        0.7211432E-02

  global error =        0.3026524E-02 iter. number =   200 denomin. =        0.7265877E-02

  global error =        0.8711640E-03 iter. number =   300 denomin. =        0.7299242E-02

  global error =        0.5031778E-03 iter. number =   400 denomin. =        0.7171935E-02

  global error =        0.4188385E-03 iter. number =   500 denomin. =        0.7105608E-02

  global error =        0.3840370E-03 iter. number =   600 denomin. =        0.7094159E-02

  global error =        0.3565520E-03 iter. number =   700 denomin. =        0.7093967E-02

  global error =        0.3103252E-03 iter. number =   800 denomin. =        0.7094523E-02

  global error =        0.2938340E-03 iter. number =   900 denomin. =        0.7094768E-02

  global error =        0.2654099E-03 iter. number =  1000 denomin. =        0.7094631E-02

  global error =        0.2403606E-03 iter. number =  1100 denomin. =        0.7094612E-02

  global error =        0.2249040E-03 iter. number =  1200 denomin. =        0.7094568E-02

  global error =        0.1917319E-03 iter. number =  1300 denomin. =        0.7094577E-02

  global error =        0.1776386E-03 iter. number =  1400 denomin. =        0.7094391E-02

  global error =        0.1631749E-03 iter. number =  1500 denomin. =        0.7094288E-02

  global error =        0.1517121E-03 iter. number =  1600 denomin. =        0.7094525E-02

  global error =        0.1410130E-03 iter. number =  1700 denomin. =        0.7094814E-02

  global error =        0.1301104E-03 iter. number =  1800 denomin. =        0.7095223E-02

  global error =        0.1247975E-03 iter. number =  1900 denomin. =        0.7095690E-02

  global error =        0.1125525E-03 iter. number =  2000 denomin. =        0.7095922E-02

  global error =        0.1056085E-03 iter. number =  2100 denomin. =        0.7095931E-02

  convergence  for freq. #   161 achieved in  2187 inner iterations 
 relative error value =       0.99904503E-04


  frequency number   160 frequency :       0.20735000E+01
 jw  real sour, imag sour =    160      0.49722E-01      0.31600E-01

  global error =        0.3635016E-02 iter. number =   100 denomin. =        0.7691201E-02

  global error =        0.2814946E-02 iter. number =   200 denomin. =        0.7770060E-02

  global error =        0.7412399E-03 iter. number =   300 denomin. =        0.7935650E-02

  global error =        0.4879111E-03 iter. number =   400 denomin. =        0.7930614E-02

  global error =        0.3983816E-03 iter. number =   500 denomin. =        0.7947784E-02

  global error =        0.3709457E-03 iter. number =   600 denomin. =        0.7951600E-02

  global error =        0.3331030E-03 iter. number =   700 denomin. =        0.7948034E-02

  global error =        0.2939554E-03 iter. number =   800 denomin. =        0.7947762E-02

  global error =        0.2826056E-03 iter. number =   900 denomin. =        0.7948470E-02

  global error =        0.2472457E-03 iter. number =  1000 denomin. =        0.7948826E-02

  global error =        0.2121164E-03 iter. number =  1100 denomin. =        0.7948983E-02

  global error =        0.1945469E-03 iter. number =  1200 denomin. =        0.7948909E-02

  global error =        0.1770034E-03 iter. number =  1300 denomin. =        0.7948908E-02

  global error =        0.1675460E-03 iter. number =  1400 denomin. =        0.7949118E-02

  global error =        0.1604675E-03 iter. number =  1500 denomin. =        0.7949620E-02

  global error =        0.1500137E-03 iter. number =  1600 denomin. =        0.7950195E-02

  global error =        0.1356561E-03 iter. number =  1700 denomin. =        0.7950720E-02

  global error =        0.1296009E-03 iter. number =  1800 denomin. =        0.7951048E-02

  global error =        0.1219275E-03 iter. number =  1900 denomin. =        0.7951292E-02

  global error =        0.1104540E-03 iter. number =  2000 denomin. =        0.7951649E-02

  global error =        0.1037557E-03 iter. number =  2100 denomin. =        0.7952050E-02

  convergence  for freq. #   160 achieved in  2131 inner iterations 
 relative error value =       0.99931956E-04


  frequency number   159 frequency :       0.20605000E+01
 jw  real sour, imag sour =    159      0.48757E-01      0.37160E-01

  global error =        0.3595728E-02 iter. number =   100 denomin. =        0.8725966E-02

  global error =        0.2805931E-02 iter. number =   200 denomin. =        0.8944997E-02

  global error =        0.7663267E-03 iter. number =   300 denomin. =        0.9278478E-02

  global error =        0.5494957E-03 iter. number =   400 denomin. =        0.9414722E-02

  global error =        0.4704605E-03 iter. number =   500 denomin. =        0.9471560E-02

  global error =        0.4590637E-03 iter. number =   600 denomin. =        0.9474104E-02

  global error =        0.4373023E-03 iter. number =   700 denomin. =        0.9476799E-02

  global error =        0.3849726E-03 iter. number =   800 denomin. =        0.9476615E-02

  global error =        0.3604188E-03 iter. number =   900 denomin. =        0.9476409E-02

  global error =        0.3392733E-03 iter. number =  1000 denomin. =        0.9476757E-02

  global error =        0.3134071E-03 iter. number =  1100 denomin. =        0.9476777E-02

  global error =        0.2887512E-03 iter. number =  1200 denomin. =        0.9475925E-02

  global error =        0.2769132E-03 iter. number =  1300 denomin. =        0.9474707E-02

  global error =        0.2644374E-03 iter. number =  1400 denomin. =        0.9474427E-02

  global error =        0.2439267E-03 iter. number =  1500 denomin. =        0.9475134E-02

  global error =        0.2291348E-03 iter. number =  1600 denomin. =        0.9475759E-02

  global error =        0.2142548E-03 iter. number =  1700 denomin. =        0.9475655E-02

  global error =        0.1957436E-03 iter. number =  1800 denomin. =        0.9474428E-02

  global error =        0.1753601E-03 iter. number =  1900 denomin. =        0.9473119E-02

  global error =        0.1655410E-03 iter. number =  2000 denomin. =        0.9472923E-02

  global error =        0.1579623E-03 iter. number =  2100 denomin. =        0.9473633E-02

  global error =        0.1471192E-03 iter. number =  2200 denomin. =        0.9474407E-02

  global error =        0.1412485E-03 iter. number =  2300 denomin. =        0.9474822E-02

  global error =        0.1374447E-03 iter. number =  2400 denomin. =        0.9475017E-02

  global error =        0.1311298E-03 iter. number =  2500 denomin. =        0.9475173E-02

  global error =        0.1233809E-03 iter. number =  2600 denomin. =        0.9475361E-02

  global error =        0.1204371E-03 iter. number =  2700 denomin. =        0.9475497E-02

  global error =        0.1156124E-03 iter. number =  2800 denomin. =        0.9475718E-02

  global error =        0.1073989E-03 iter. number =  2900 denomin. =        0.9476174E-02

  global error =        0.1013910E-03 iter. number =  3000 denomin. =        0.9476504E-02

  convergence  for freq. #   159 achieved in  3016 inner iterations 
 relative error value =       0.99926839E-04


  frequency number   158 frequency :       0.20475000E+01
 jw  real sour, imag sour =    158      0.47249E-01      0.42824E-01

  global error =        0.3931597E-02 iter. number =   100 denomin. =        0.1020630E-01

  global error =        0.3141595E-02 iter. number =   200 denomin. =        0.1040021E-01

  global error =        0.7690832E-03 iter. number =   300 denomin. =        0.1064721E-01

  global error =        0.4838450E-03 iter. number =   400 denomin. =        0.1059945E-01

  global error =        0.4119696E-03 iter. number =   500 denomin. =        0.1056510E-01

  global error =        0.3972997E-03 iter. number =   600 denomin. =        0.1055994E-01

  global error =        0.3608799E-03 iter. number =   700 denomin. =        0.1055826E-01

  global error =        0.3135697E-03 iter. number =   800 denomin. =        0.1055919E-01

  global error =        0.3027589E-03 iter. number =   900 denomin. =        0.1055946E-01

  global error =        0.2834812E-03 iter. number =  1000 denomin. =        0.1055986E-01

  global error =        0.2566009E-03 iter. number =  1100 denomin. =        0.1056021E-01

  global error =        0.2378565E-03 iter. number =  1200 denomin. =        0.1056036E-01

  global error =        0.2161680E-03 iter. number =  1300 denomin. =        0.1056037E-01

  global error =        0.1869872E-03 iter. number =  1400 denomin. =        0.1056004E-01

  global error =        0.1657865E-03 iter. number =  1500 denomin. =        0.1055979E-01

  global error =        0.1577178E-03 iter. number =  1600 denomin. =        0.1055921E-01

  global error =        0.1467336E-03 iter. number =  1700 denomin. =        0.1055903E-01

  global error =        0.1370605E-03 iter. number =  1800 denomin. =        0.1055885E-01

  global error =        0.1310523E-03 iter. number =  1900 denomin. =        0.1055894E-01

  global error =        0.1265521E-03 iter. number =  2000 denomin. =        0.1055892E-01

  global error =        0.1176627E-03 iter. number =  2100 denomin. =        0.1055870E-01

  global error =        0.1105483E-03 iter. number =  2200 denomin. =        0.1055841E-01

  global error =        0.1054284E-03 iter. number =  2300 denomin. =        0.1055827E-01

  convergence  for freq. #   158 achieved in  2342 inner iterations 
 relative error value =       0.99971050E-04


  frequency number   157 frequency :       0.20345000E+01
 jw  real sour, imag sour =    157      0.45171E-01      0.48546E-01

  global error =        0.3921948E-02 iter. number =   100 denomin. =        0.1156414E-01

  global error =        0.3096703E-02 iter. number =   200 denomin. =        0.1173227E-01

  global error =        0.7462103E-03 iter. number =   300 denomin. =        0.1181583E-01

  global error =        0.4461376E-03 iter. number =   400 denomin. =        0.1167912E-01

  global error =        0.3644362E-03 iter. number =   500 denomin. =        0.1164340E-01

  global error =        0.3481992E-03 iter. number =   600 denomin. =        0.1164865E-01

  global error =        0.3167623E-03 iter. number =   700 denomin. =        0.1164961E-01

  global error =        0.2782731E-03 iter. number =   800 denomin. =        0.1165032E-01

  global error =        0.2662874E-03 iter. number =   900 denomin. =        0.1165155E-01

  global error =        0.2352564E-03 iter. number =  1000 denomin. =        0.1165259E-01

  global error =        0.1973159E-03 iter. number =  1100 denomin. =        0.1165344E-01

  global error =        0.1759019E-03 iter. number =  1200 denomin. =        0.1165408E-01

  global error =        0.1672586E-03 iter. number =  1300 denomin. =        0.1165434E-01

  global error =        0.1535252E-03 iter. number =  1400 denomin. =        0.1165473E-01

  global error =        0.1428020E-03 iter. number =  1500 denomin. =        0.1165480E-01

  global error =        0.1373760E-03 iter. number =  1600 denomin. =        0.1165416E-01

  global error =        0.1228493E-03 iter. number =  1700 denomin. =        0.1165341E-01

  global error =        0.1095228E-03 iter. number =  1800 denomin. =        0.1165331E-01

  global error =        0.1022387E-03 iter. number =  1900 denomin. =        0.1165348E-01

  convergence  for freq. #   157 achieved in  1917 inner iterations 
 relative error value =       0.99924997E-04


  frequency number   156 frequency :       0.20215000E+01
 jw  real sour, imag sour =    156      0.42498E-01      0.54273E-01

  global error =        0.3803066E-02 iter. number =   100 denomin. =        0.1251269E-01

  global error =        0.2955519E-02 iter. number =   200 denomin. =        0.1257716E-01

  global error =        0.7626883E-03 iter. number =   300 denomin. =        0.1282161E-01

  global error =        0.5377999E-03 iter. number =   400 denomin. =        0.1282856E-01

  global error =        0.4556733E-03 iter. number =   500 denomin. =        0.1283514E-01

  global error =        0.4481804E-03 iter. number =   600 denomin. =        0.1282303E-01

  global error =        0.4308064E-03 iter. number =   700 denomin. =        0.1282158E-01

  global error =        0.3822954E-03 iter. number =   800 denomin. =        0.1282293E-01

  global error =        0.3631091E-03 iter. number =   900 denomin. =        0.1282471E-01

  global error =        0.3536986E-03 iter. number =  1000 denomin. =        0.1282586E-01

  global error =        0.3303625E-03 iter. number =  1100 denomin. =        0.1282681E-01

  global error =        0.3119129E-03 iter. number =  1200 denomin. =        0.1282742E-01

  global error =        0.3036123E-03 iter. number =  1300 denomin. =        0.1282853E-01

  global error =        0.2923221E-03 iter. number =  1400 denomin. =        0.1282929E-01

  global error =        0.2774558E-03 iter. number =  1500 denomin. =        0.1282929E-01

  global error =        0.2640476E-03 iter. number =  1600 denomin. =        0.1282962E-01

  global error =        0.2547937E-03 iter. number =  1700 denomin. =        0.1283024E-01

  global error =        0.2473078E-03 iter. number =  1800 denomin. =        0.1283058E-01

  global error =        0.2366796E-03 iter. number =  1900 denomin. =        0.1283067E-01

  global error =        0.2254536E-03 iter. number =  2000 denomin. =        0.1283037E-01

  global error =        0.2193281E-03 iter. number =  2100 denomin. =        0.1283001E-01

  global error =        0.2124531E-03 iter. number =  2200 denomin. =        0.1282992E-01

  global error =        0.2019298E-03 iter. number =  2300 denomin. =        0.1283000E-01

  global error =        0.1950792E-03 iter. number =  2400 denomin. =        0.1282982E-01

  global error =        0.1910174E-03 iter. number =  2500 denomin. =        0.1282913E-01

  global error =        0.1826693E-03 iter. number =  2600 denomin. =        0.1282837E-01

  global error =        0.1747743E-03 iter. number =  2700 denomin. =        0.1282744E-01

  global error =        0.1709393E-03 iter. number =  2800 denomin. =        0.1282619E-01

  global error =        0.1653832E-03 iter. number =  2900 denomin. =        0.1282488E-01

  global error =        0.1578974E-03 iter. number =  3000 denomin. =        0.1282362E-01

  global error =        0.1529834E-03 iter. number =  3100 denomin. =        0.1282254E-01

  global error =        0.1486862E-03 iter. number =  3200 denomin. =        0.1282195E-01

  global error =        0.1425962E-03 iter. number =  3300 denomin. =        0.1282185E-01

  global error =        0.1372367E-03 iter. number =  3400 denomin. =        0.1282202E-01

  global error =        0.1331101E-03 iter. number =  3500 denomin. =        0.1282209E-01

  global error =        0.1281660E-03 iter. number =  3600 denomin. =        0.1282179E-01

  global error =        0.1229431E-03 iter. number =  3700 denomin. =        0.1282111E-01

  global error =        0.1186623E-03 iter. number =  3800 denomin. =        0.1282031E-01

  global error =        0.1148526E-03 iter. number =  3900 denomin. =        0.1281982E-01

  global error =        0.1107551E-03 iter. number =  4000 denomin. =        0.1281970E-01

  NO convergence  for freq. #   156 after   4001 inner iterations 
 relative error value reduction =       0.11075513E-03


  frequency number   155 frequency :       0.20085000E+01
 jw  real sour, imag sour =    155      0.39210E-01      0.59948E-01

  global error =        0.3807804E-02 iter. number =   100 denomin. =        0.1412689E-01

  global error =        0.2964588E-02 iter. number =   200 denomin. =        0.1459988E-01

  global error =        0.7755326E-03 iter. number =   300 denomin. =        0.1527839E-01

  global error =        0.5374570E-03 iter. number =   400 denomin. =        0.1559317E-01

  global error =        0.4565836E-03 iter. number =   500 denomin. =        0.1571728E-01

  global error =        0.4477481E-03 iter. number =   600 denomin. =        0.1575236E-01

  global error =        0.4112898E-03 iter. number =   700 denomin. =        0.1576178E-01

  global error =        0.3612542E-03 iter. number =   800 denomin. =        0.1576404E-01

  global error =        0.3410479E-03 iter. number =   900 denomin. =        0.1576338E-01

  global error =        0.3182403E-03 iter. number =  1000 denomin. =        0.1576422E-01

  global error =        0.2890193E-03 iter. number =  1100 denomin. =        0.1576628E-01

  global error =        0.2737882E-03 iter. number =  1200 denomin. =        0.1576744E-01

  global error =        0.2593962E-03 iter. number =  1300 denomin. =        0.1576810E-01

  global error =        0.2400681E-03 iter. number =  1400 denomin. =        0.1576798E-01

  global error =        0.2184070E-03 iter. number =  1500 denomin. =        0.1576810E-01

  global error =        0.1987724E-03 iter. number =  1600 denomin. =        0.1576887E-01

  global error =        0.1837934E-03 iter. number =  1700 denomin. =        0.1576887E-01

  global error =        0.1710188E-03 iter. number =  1800 denomin. =        0.1576785E-01

  global error =        0.1579310E-03 iter. number =  1900 denomin. =        0.1576627E-01

  global error =        0.1483993E-03 iter. number =  2000 denomin. =        0.1576482E-01

  global error =        0.1418744E-03 iter. number =  2100 denomin. =        0.1576401E-01

  global error =        0.1329317E-03 iter. number =  2200 denomin. =        0.1576342E-01

  global error =        0.1248434E-03 iter. number =  2300 denomin. =        0.1576257E-01

  global error =        0.1200782E-03 iter. number =  2400 denomin. =        0.1576192E-01

  global error =        0.1126392E-03 iter. number =  2500 denomin. =        0.1576141E-01

  global error =        0.1040365E-03 iter. number =  2600 denomin. =        0.1576103E-01

  convergence  for freq. #   155 achieved in  2677 inner iterations 
 relative error value =       0.99990265E-04


  frequency number   154 frequency :       0.19955000E+01
 jw  real sour, imag sour =    154      0.35293E-01      0.65513E-01

  global error =        0.4115165E-02 iter. number =   100 denomin. =        0.1695362E-01

  global error =        0.3318190E-02 iter. number =   200 denomin. =        0.1715411E-01

  global error =        0.7558990E-03 iter. number =   300 denomin. =        0.1737314E-01

  global error =        0.4498831E-03 iter. number =   400 denomin. =        0.1712805E-01

  global error =        0.3620701E-03 iter. number =   500 denomin. =        0.1696949E-01

  global error =        0.3405943E-03 iter. number =   600 denomin. =        0.1692994E-01

  global error =        0.2935175E-03 iter. number =   700 denomin. =        0.1692703E-01

  global error =        0.2562060E-03 iter. number =   800 denomin. =        0.1692868E-01

  global error =        0.2412308E-03 iter. number =   900 denomin. =        0.1693001E-01

  global error =        0.2128493E-03 iter. number =  1000 denomin. =        0.1693079E-01

  global error =        0.1847891E-03 iter. number =  1100 denomin. =        0.1693208E-01

  global error =        0.1690633E-03 iter. number =  1200 denomin. =        0.1693372E-01

  global error =        0.1473212E-03 iter. number =  1300 denomin. =        0.1693498E-01

  global error =        0.1277409E-03 iter. number =  1400 denomin. =        0.1693556E-01

  global error =        0.1186155E-03 iter. number =  1500 denomin. =        0.1693572E-01

  global error =        0.1101837E-03 iter. number =  1600 denomin. =        0.1693665E-01

  global error =        0.1006924E-03 iter. number =  1700 denomin. =        0.1693790E-01

  convergence  for freq. #   154 achieved in  1711 inner iterations 
 relative error value =       0.99951152E-04


  frequency number   153 frequency :       0.19825000E+01
 jw  real sour, imag sour =    153      0.30738E-01      0.70903E-01

  global error =        0.4055401E-02 iter. number =   100 denomin. =        0.1847056E-01

  global error =        0.3195016E-02 iter. number =   200 denomin. =        0.1879813E-01

  global error =        0.7525967E-03 iter. number =   300 denomin. =        0.1909882E-01

  global error =        0.4780032E-03 iter. number =   400 denomin. =        0.1901382E-01

  global error =        0.4110361E-03 iter. number =   500 denomin. =        0.1904907E-01

  global error =        0.3998586E-03 iter. number =   600 denomin. =        0.1908314E-01

  global error =        0.3450076E-03 iter. number =   700 denomin. =        0.1908538E-01

  global error =        0.3161053E-03 iter. number =   800 denomin. =        0.1908921E-01

  global error =        0.3114927E-03 iter. number =   900 denomin. =        0.1909530E-01

  global error =        0.2713726E-03 iter. number =  1000 denomin. =        0.1909998E-01

  global error =        0.2324534E-03 iter. number =  1100 denomin. =        0.1910430E-01

  global error =        0.2020022E-03 iter. number =  1200 denomin. =        0.1910840E-01

  global error =        0.1705796E-03 iter. number =  1300 denomin. =        0.1911193E-01

  global error =        0.1535226E-03 iter. number =  1400 denomin. =        0.1911596E-01

  global error =        0.1458965E-03 iter. number =  1500 denomin. =        0.1912108E-01

  global error =        0.1353003E-03 iter. number =  1600 denomin. =        0.1912645E-01

  global error =        0.1264555E-03 iter. number =  1700 denomin. =        0.1913108E-01

  global error =        0.1189174E-03 iter. number =  1800 denomin. =        0.1913478E-01

  global error =        0.1077554E-03 iter. number =  1900 denomin. =        0.1913745E-01

  convergence  for freq. #   153 achieved in  1994 inner iterations 
 relative error value =       0.99981866E-04


  frequency number   152 frequency :       0.19695000E+01
 jw  real sour, imag sour =    152      0.25539E-01      0.76053E-01

  global error =        0.3987261E-02 iter. number =   100 denomin. =        0.2066148E-01

  global error =        0.3132785E-02 iter. number =   200 denomin. =        0.2084295E-01

  global error =        0.1064631E-02 iter. number =   300 denomin. =        0.2131239E-01

  global error =        0.7913493E-03 iter. number =   400 denomin. =        0.2142559E-01

  global error =        0.7104270E-03 iter. number =   500 denomin. =        0.2144966E-01

  global error =        0.6962302E-03 iter. number =   600 denomin. =        0.2140983E-01

  global error =        0.6254262E-03 iter. number =   700 denomin. =        0.2140893E-01

  global error =        0.5643673E-03 iter. number =   800 denomin. =        0.2140636E-01

  global error =        0.5446557E-03 iter. number =   900 denomin. =        0.2140209E-01

  global error =        0.4938221E-03 iter. number =  1000 denomin. =        0.2139865E-01

  global error =        0.4349374E-03 iter. number =  1100 denomin. =        0.2139552E-01

  global error =        0.4104198E-03 iter. number =  1200 denomin. =        0.2139199E-01

  global error =        0.3867851E-03 iter. number =  1300 denomin. =        0.2139094E-01

  global error =        0.3540528E-03 iter. number =  1400 denomin. =        0.2139186E-01

  global error =        0.3377415E-03 iter. number =  1500 denomin. =        0.2139166E-01

  global error =        0.3189028E-03 iter. number =  1600 denomin. =        0.2139083E-01

  global error =        0.2888536E-03 iter. number =  1700 denomin. =        0.2138997E-01

  global error =        0.2720742E-03 iter. number =  1800 denomin. =        0.2138907E-01

  global error =        0.2594636E-03 iter. number =  1900 denomin. =        0.2138892E-01

  global error =        0.2362728E-03 iter. number =  2000 denomin. =        0.2138897E-01

  global error =        0.2195368E-03 iter. number =  2100 denomin. =        0.2138788E-01

  global error =        0.2106753E-03 iter. number =  2200 denomin. =        0.2138602E-01

  global error =        0.1937829E-03 iter. number =  2300 denomin. =        0.2138470E-01

  global error =        0.1794352E-03 iter. number =  2400 denomin. =        0.2138356E-01

  global error =        0.1728881E-03 iter. number =  2500 denomin. =        0.2138192E-01

  global error =        0.1599682E-03 iter. number =  2600 denomin. =        0.2137981E-01

  global error =        0.1459517E-03 iter. number =  2700 denomin. =        0.2137792E-01

  global error =        0.1397349E-03 iter. number =  2800 denomin. =        0.2137700E-01

  global error =        0.1305395E-03 iter. number =  2900 denomin. =        0.2137695E-01

  global error =        0.1183841E-03 iter. number =  3000 denomin. =        0.2137694E-01

  global error =        0.1124276E-03 iter. number =  3100 denomin. =        0.2137627E-01

  global error =        0.1064684E-03 iter. number =  3200 denomin. =        0.2137542E-01

  convergence  for freq. #   152 achieved in  3262 inner iterations 
 relative error value =       0.99919880E-04


  frequency number   151 frequency :       0.19565000E+01
 jw  real sour, imag sour =    151      0.19701E-01      0.80895E-01

  global error =        0.4098842E-02 iter. number =   100 denomin. =        0.2318216E-01

  global error =        0.3226523E-02 iter. number =   200 denomin. =        0.2389063E-01

  global error =        0.8741731E-03 iter. number =   300 denomin. =        0.2495690E-01

  global error =        0.5362489E-03 iter. number =   400 denomin. =        0.2537338E-01

  global error =        0.4748579E-03 iter. number =   500 denomin. =        0.2549224E-01

  global error =        0.4589795E-03 iter. number =   600 denomin. =        0.2555582E-01

  global error =        0.3916714E-03 iter. number =   700 denomin. =        0.2556430E-01

  global error =        0.3467351E-03 iter. number =   800 denomin. =        0.2556811E-01

  global error =        0.3260146E-03 iter. number =   900 denomin. =        0.2556721E-01

  global error =        0.2789968E-03 iter. number =  1000 denomin. =        0.2556700E-01

  global error =        0.2462210E-03 iter. number =  1100 denomin. =        0.2556577E-01

  global error =        0.2326902E-03 iter. number =  1200 denomin. =        0.2556381E-01

  global error =        0.2050188E-03 iter. number =  1300 denomin. =        0.2556249E-01

  global error =        0.1791841E-03 iter. number =  1400 denomin. =        0.2556155E-01

  global error =        0.1631583E-03 iter. number =  1500 denomin. =        0.2556075E-01

  global error =        0.1394910E-03 iter. number =  1600 denomin. =        0.2555925E-01

  global error =        0.1193123E-03 iter. number =  1700 denomin. =        0.2555708E-01

  global error =        0.1100355E-03 iter. number =  1800 denomin. =        0.2555496E-01

  convergence  for freq. #   151 achieved in  1841 inner iterations 
 relative error value =       0.99969213E-04


  frequency number   150 frequency :       0.19435000E+01
 jw  real sour, imag sour =    150      0.13233E-01      0.85358E-01

  global error =        0.4246650E-02 iter. number =   100 denomin. =        0.2771379E-01

  global error =        0.3426690E-02 iter. number =   200 denomin. =        0.2801316E-01

  global error =        0.8666210E-03 iter. number =   300 denomin. =        0.2816345E-01

  global error =        0.4566518E-03 iter. number =   400 denomin. =        0.2769048E-01

  global error =        0.3951701E-03 iter. number =   500 denomin. =        0.2739283E-01

  global error =        0.3685223E-03 iter. number =   600 denomin. =        0.2731914E-01

  global error =        0.3087608E-03 iter. number =   700 denomin. =        0.2732162E-01

  global error =        0.2834210E-03 iter. number =   800 denomin. =        0.2732607E-01

  global error =        0.2638683E-03 iter. number =   900 denomin. =        0.2732884E-01

  global error =        0.2217289E-03 iter. number =  1000 denomin. =        0.2733151E-01

  global error =        0.1999076E-03 iter. number =  1100 denomin. =        0.2733353E-01

  global error =        0.1754744E-03 iter. number =  1200 denomin. =        0.2733486E-01

  global error =        0.1329838E-03 iter. number =  1300 denomin. =        0.2733612E-01

  global error =        0.1144222E-03 iter. number =  1400 denomin. =        0.2733410E-01

  global error =        0.1046076E-03 iter. number =  1500 denomin. =        0.2733266E-01

  convergence  for freq. #   150 achieved in  1532 inner iterations 
 relative error value =       0.99981109E-04


  frequency number   149 frequency :       0.19305000E+01
 jw  real sour, imag sour =    149      0.61515E-02      0.89372E-01

  global error =        0.4189523E-02 iter. number =   100 denomin. =        0.2933017E-01

  global error =        0.3304688E-02 iter. number =   200 denomin. =        0.2977718E-01

  global error =        0.8658693E-03 iter. number =   300 denomin. =        0.3054076E-01

  global error =        0.4906660E-03 iter. number =   400 denomin. =        0.3075400E-01

  global error =        0.4358086E-03 iter. number =   500 denomin. =        0.3095753E-01

  global error =        0.4117819E-03 iter. number =   600 denomin. =        0.3101180E-01

  global error =        0.3465040E-03 iter. number =   700 denomin. =        0.3100456E-01

  global error =        0.3170740E-03 iter. number =   800 denomin. =        0.3100673E-01

  global error =        0.2927300E-03 iter. number =   900 denomin. =        0.3101388E-01

  global error =        0.2493253E-03 iter. number =  1000 denomin. =        0.3102239E-01

  global error =        0.2231010E-03 iter. number =  1100 denomin. =        0.3102992E-01

  global error =        0.1941552E-03 iter. number =  1200 denomin. =        0.3103528E-01

  global error =        0.1677588E-03 iter. number =  1300 denomin. =        0.3103910E-01

  global error =        0.1555799E-03 iter. number =  1400 denomin. =        0.3104312E-01

  global error =        0.1494837E-03 iter. number =  1500 denomin. =        0.3104804E-01

  global error =        0.1384334E-03 iter. number =  1600 denomin. =        0.3105366E-01

  global error =        0.1300712E-03 iter. number =  1700 denomin. =        0.3105899E-01

  global error =        0.1249047E-03 iter. number =  1800 denomin. =        0.3106346E-01

  global error =        0.1167992E-03 iter. number =  1900 denomin. =        0.3106711E-01

  global error =        0.1090521E-03 iter. number =  2000 denomin. =        0.3107002E-01

  global error =        0.1036170E-03 iter. number =  2100 denomin. =        0.3107254E-01

  convergence  for freq. #   149 achieved in  2136 inner iterations 
 relative error value =       0.99978923E-04


  frequency number   148 frequency :       0.19175000E+01
 jw  real sour, imag sour =    148     -0.15197E-02      0.92864E-01

  global error =        0.4194983E-02 iter. number =   100 denomin. =        0.3385922E-01

  global error =        0.3312459E-02 iter. number =   200 denomin. =        0.3452868E-01

  global error =        0.1230228E-02 iter. number =   300 denomin. =        0.3555371E-01

  global error =        0.7897691E-03 iter. number =   400 denomin. =        0.3594132E-01

  global error =        0.7412382E-03 iter. number =   500 denomin. =        0.3599441E-01

  global error =        0.7173727E-03 iter. number =   600 denomin. =        0.3595047E-01

  global error =        0.6237660E-03 iter. number =   700 denomin. =        0.3595223E-01

  global error =        0.5919109E-03 iter. number =   800 denomin. =        0.3594040E-01

  global error =        0.5576060E-03 iter. number =   900 denomin. =        0.3593162E-01

  global error =        0.4826648E-03 iter. number =  1000 denomin. =        0.3593347E-01

  global error =        0.4528361E-03 iter. number =  1100 denomin. =        0.3592996E-01

  global error =        0.4259194E-03 iter. number =  1200 denomin. =        0.3592100E-01

  global error =        0.3780517E-03 iter. number =  1300 denomin. =        0.3591080E-01

  global error =        0.3619425E-03 iter. number =  1400 denomin. =        0.3590661E-01

  global error =        0.3427719E-03 iter. number =  1500 denomin. =        0.3590944E-01

  global error =        0.3056354E-03 iter. number =  1600 denomin. =        0.3591437E-01

  global error =        0.2896478E-03 iter. number =  1700 denomin. =        0.3591317E-01

  global error =        0.2649115E-03 iter. number =  1800 denomin. =        0.3590647E-01

  global error =        0.2294704E-03 iter. number =  1900 denomin. =        0.3589959E-01

  global error =        0.2141710E-03 iter. number =  2000 denomin. =        0.3590028E-01

  global error =        0.1964449E-03 iter. number =  2100 denomin. =        0.3590803E-01

  global error =        0.1754041E-03 iter. number =  2200 denomin. =        0.3591412E-01

  global error =        0.1703106E-03 iter. number =  2300 denomin. =        0.3591582E-01

  global error =        0.1607229E-03 iter. number =  2400 denomin. =        0.3591696E-01

  global error =        0.1467730E-03 iter. number =  2500 denomin. =        0.3591981E-01

  global error =        0.1435523E-03 iter. number =  2600 denomin. =        0.3592300E-01

  global error =        0.1347973E-03 iter. number =  2700 denomin. =        0.3592561E-01

  global error =        0.1232482E-03 iter. number =  2800 denomin. =        0.3592713E-01

  global error =        0.1199472E-03 iter. number =  2900 denomin. =        0.3592916E-01

  global error =        0.1105993E-03 iter. number =  3000 denomin. =        0.3593263E-01

  convergence  for freq. #   148 achieved in  3099 inner iterations 
 relative error value =       0.99989193E-04


  frequency number   147 frequency :       0.19045000E+01
 jw  real sour, imag sour =    147     -0.97485E-02      0.95763E-01

  global error =        0.4407814E-02 iter. number =   100 denomin. =        0.3826342E-01

  global error =        0.3534344E-02 iter. number =   200 denomin. =        0.3891918E-01

  global error =        0.1159014E-02 iter. number =   300 denomin. =        0.3993887E-01

  global error =        0.6508132E-03 iter. number =   400 denomin. =        0.4011529E-01

  global error =        0.6327366E-03 iter. number =   500 denomin. =        0.3996524E-01

  global error =        0.5803609E-03 iter. number =   600 denomin. =        0.4000586E-01

  global error =        0.4937570E-03 iter. number =   700 denomin. =        0.4000405E-01

  global error =        0.4808828E-03 iter. number =   800 denomin. =        0.4000282E-01

  global error =        0.4275873E-03 iter. number =   900 denomin. =        0.4000569E-01

  global error =        0.3761882E-03 iter. number =  1000 denomin. =        0.4000461E-01

  global error =        0.3665844E-03 iter. number =  1100 denomin. =        0.4000043E-01

  global error =        0.3198548E-03 iter. number =  1200 denomin. =        0.3999797E-01

  global error =        0.2845082E-03 iter. number =  1300 denomin. =        0.3999863E-01

  global error =        0.2596495E-03 iter. number =  1400 denomin. =        0.3999670E-01

  global error =        0.2163049E-03 iter. number =  1500 denomin. =        0.3999119E-01

  global error =        0.1973385E-03 iter. number =  1600 denomin. =        0.3997926E-01

  global error =        0.1862177E-03 iter. number =  1700 denomin. =        0.3996937E-01

  global error =        0.1632629E-03 iter. number =  1800 denomin. =        0.3996324E-01

  global error =        0.1570900E-03 iter. number =  1900 denomin. =        0.3995762E-01

  global error =        0.1482499E-03 iter. number =  2000 denomin. =        0.3995250E-01

  global error =        0.1334404E-03 iter. number =  2100 denomin. =        0.3994657E-01

  global error =        0.1309630E-03 iter. number =  2200 denomin. =        0.3994135E-01

  global error =        0.1212755E-03 iter. number =  2300 denomin. =        0.3993876E-01

  global error =        0.1086379E-03 iter. number =  2400 denomin. =        0.3993674E-01

  global error =        0.1055041E-03 iter. number =  2500 denomin. =        0.3993237E-01

  convergence  for freq. #   147 achieved in  2534 inner iterations 
 relative error value =       0.99923561E-04


  frequency number   146 frequency :       0.18915000E+01
 jw  real sour, imag sour =    146     -0.18495E-01      0.97999E-01

  global error =        0.4316667E-02 iter. number =   100 denomin. =        0.4351141E-01

  global error =        0.3459902E-02 iter. number =   200 denomin. =        0.4414352E-01

  global error =        0.1034890E-02 iter. number =   300 denomin. =        0.4459960E-01

  global error =        0.4095611E-03 iter. number =   400 denomin. =        0.4446564E-01

  global error =        0.3932323E-03 iter. number =   500 denomin. =        0.4438458E-01

  global error =        0.3499046E-03 iter. number =   600 denomin. =        0.4430963E-01

  global error =        0.2957808E-03 iter. number =   700 denomin. =        0.4433339E-01

  global error =        0.2854678E-03 iter. number =   800 denomin. =        0.4436291E-01

  global error =        0.2507373E-03 iter. number =   900 denomin. =        0.4439251E-01

  global error =        0.2257776E-03 iter. number =  1000 denomin. =        0.4441892E-01

  global error =        0.2099767E-03 iter. number =  1100 denomin. =        0.4444148E-01

  global error =        0.1721643E-03 iter. number =  1200 denomin. =        0.4446276E-01

  global error =        0.1486137E-03 iter. number =  1300 denomin. =        0.4448005E-01

  global error =        0.1392752E-03 iter. number =  1400 denomin. =        0.4449531E-01

  global error =        0.1280308E-03 iter. number =  1500 denomin. =        0.4451003E-01

  global error =        0.1211630E-03 iter. number =  1600 denomin. =        0.4452436E-01

  global error =        0.1156851E-03 iter. number =  1700 denomin. =        0.4453946E-01

  global error =        0.1082862E-03 iter. number =  1800 denomin. =        0.4455495E-01

  global error =        0.1035036E-03 iter. number =  1900 denomin. =        0.4456952E-01

  convergence  for freq. #   146 achieved in  1943 inner iterations 
 relative error value =       0.99979183E-04


  frequency number   145 frequency :       0.18785000E+01
 jw  real sour, imag sour =    145     -0.27712E-01      0.99504E-01

  global error =        0.4494191E-02 iter. number =   100 denomin. =        0.4715645E-01

  global error =        0.3605286E-02 iter. number =   200 denomin. =        0.4788818E-01

  global error =        0.1517590E-02 iter. number =   300 denomin. =        0.4952592E-01

  global error =        0.9889120E-03 iter. number =   400 denomin. =        0.5045296E-01

  global error =        0.9851526E-03 iter. number =   500 denomin. =        0.5084267E-01

  global error =        0.9175737E-03 iter. number =   600 denomin. =        0.5102278E-01

  global error =        0.8203998E-03 iter. number =   700 denomin. =        0.5102105E-01

  global error =        0.8139795E-03 iter. number =   800 denomin. =        0.5101113E-01

  global error =        0.7334088E-03 iter. number =   900 denomin. =        0.5100842E-01

  global error =        0.6778036E-03 iter. number =  1000 denomin. =        0.5099604E-01

  global error =        0.6522326E-03 iter. number =  1100 denomin. =        0.5097913E-01

  global error =        0.5820921E-03 iter. number =  1200 denomin. =        0.5096938E-01

  global error =        0.5593311E-03 iter. number =  1300 denomin. =        0.5096150E-01

  global error =        0.5335906E-03 iter. number =  1400 denomin. =        0.5096683E-01

  global error =        0.4850294E-03 iter. number =  1500 denomin. =        0.5097919E-01

  global error =        0.4762021E-03 iter. number =  1600 denomin. =        0.5097939E-01

  global error =        0.4420617E-03 iter. number =  1700 denomin. =        0.5097616E-01

  global error =        0.4084446E-03 iter. number =  1800 denomin. =        0.5097468E-01

  global error =        0.3993512E-03 iter. number =  1900 denomin. =        0.5097942E-01

  global error =        0.3607918E-03 iter. number =  2000 denomin. =        0.5099252E-01

  global error =        0.3349087E-03 iter. number =  2100 denomin. =        0.5099381E-01

  global error =        0.3143778E-03 iter. number =  2200 denomin. =        0.5098183E-01

  global error =        0.2746509E-03 iter. number =  2300 denomin. =        0.5097397E-01

  global error =        0.2577255E-03 iter. number =  2400 denomin. =        0.5097915E-01

  global error =        0.2380835E-03 iter. number =  2500 denomin. =        0.5099359E-01

  global error =        0.2122092E-03 iter. number =  2600 denomin. =        0.5100062E-01

  global error =        0.2049726E-03 iter. number =  2700 denomin. =        0.5099798E-01

  global error =        0.1888889E-03 iter. number =  2800 denomin. =        0.5099633E-01

  global error =        0.1739003E-03 iter. number =  2900 denomin. =        0.5100154E-01

  global error =        0.1696952E-03 iter. number =  3000 denomin. =        0.5100756E-01

  global error =        0.1549024E-03 iter. number =  3100 denomin. =        0.5101066E-01

  global error =        0.1464713E-03 iter. number =  3200 denomin. =        0.5101194E-01

  global error =        0.1415507E-03 iter. number =  3300 denomin. =        0.5101400E-01

  global error =        0.1293585E-03 iter. number =  3400 denomin. =        0.5101743E-01

  global error =        0.1253441E-03 iter. number =  3500 denomin. =        0.5101906E-01

  global error =        0.1193490E-03 iter. number =  3600 denomin. =        0.5101952E-01

  global error =        0.1102933E-03 iter. number =  3700 denomin. =        0.5101975E-01

  global error =        0.1079454E-03 iter. number =  3800 denomin. =        0.5101952E-01

  global error =        0.1009310E-03 iter. number =  3900 denomin. =        0.5101872E-01

  convergence  for freq. #   145 achieved in  3950 inner iterations 
 relative error value =       0.99989566E-04


  frequency number   144 frequency :       0.18655000E+01
 jw  real sour, imag sour =    144     -0.37344E-01      0.10021E+00

  global error =        0.4510901E-02 iter. number =   100 denomin. =        0.5554077E-01

  global error =        0.3599538E-02 iter. number =   200 denomin. =        0.5675313E-01

  global error =        0.1523195E-02 iter. number =   300 denomin. =        0.5782056E-01

  global error =        0.8289861E-03 iter. number =   400 denomin. =        0.5789754E-01

  global error =        0.8284588E-03 iter. number =   500 denomin. =        0.5737719E-01

  global error =        0.7185597E-03 iter. number =   600 denomin. =        0.5710125E-01

  global error =        0.6564192E-03 iter. number =   700 denomin. =        0.5704353E-01

  global error =        0.6273263E-03 iter. number =   800 denomin. =        0.5701760E-01

  global error =        0.5358788E-03 iter. number =   900 denomin. =        0.5700685E-01

  global error =        0.5050125E-03 iter. number =  1000 denomin. =        0.5698518E-01

  global error =        0.4410954E-03 iter. number =  1100 denomin. =        0.5696543E-01

  global error =        0.3940749E-03 iter. number =  1200 denomin. =        0.5695081E-01

  global error =        0.3767618E-03 iter. number =  1300 denomin. =        0.5694817E-01

  global error =        0.3253265E-03 iter. number =  1400 denomin. =        0.5695950E-01

  global error =        0.2958595E-03 iter. number =  1500 denomin. =        0.5696309E-01

  global error =        0.2590859E-03 iter. number =  1600 denomin. =        0.5695414E-01

  global error =        0.2235846E-03 iter. number =  1700 denomin. =        0.5693716E-01

  global error =        0.2108041E-03 iter. number =  1800 denomin. =        0.5692983E-01

  global error =        0.1819260E-03 iter. number =  1900 denomin. =        0.5693724E-01

  global error =        0.1671116E-03 iter. number =  2000 denomin. =        0.5694632E-01

  global error =        0.1543335E-03 iter. number =  2100 denomin. =        0.5694929E-01

  global error =        0.1367596E-03 iter. number =  2200 denomin. =        0.5694566E-01

  global error =        0.1333675E-03 iter. number =  2300 denomin. =        0.5694175E-01

  global error =        0.1199070E-03 iter. number =  2400 denomin. =        0.5694245E-01

  global error =        0.1120777E-03 iter. number =  2500 denomin. =        0.5694738E-01

  global error =        0.1067676E-03 iter. number =  2600 denomin. =        0.5695020E-01

  convergence  for freq. #   144 achieved in  2659 inner iterations 
 relative error value =       0.99920301E-04


  frequency number   143 frequency :       0.18525000E+01
 jw  real sour, imag sour =    143     -0.47326E-01      0.10006E+00

  global error =        0.4552167E-02 iter. number =   100 denomin. =        0.5998888E-01

  global error =        0.3678818E-02 iter. number =   200 denomin. =        0.6038480E-01

  global error =        0.1405387E-02 iter. number =   300 denomin. =        0.6126525E-01

  global error =        0.6468204E-03 iter. number =   400 denomin. =        0.6193306E-01

  global error =        0.6417574E-03 iter. number =   500 denomin. =        0.6205792E-01

  global error =        0.5338929E-03 iter. number =   600 denomin. =        0.6218039E-01

  global error =        0.5009598E-03 iter. number =   700 denomin. =        0.6220578E-01

  global error =        0.4578540E-03 iter. number =   800 denomin. =        0.6220991E-01

  global error =        0.3966812E-03 iter. number =   900 denomin. =        0.6223734E-01

  global error =        0.3819409E-03 iter. number =  1000 denomin. =        0.6226332E-01

  global error =        0.3267536E-03 iter. number =  1100 denomin. =        0.6229553E-01

  global error =        0.2975041E-03 iter. number =  1200 denomin. =        0.6232689E-01

  global error =        0.2530053E-03 iter. number =  1300 denomin. =        0.6236164E-01

  global error =        0.2121407E-03 iter. number =  1400 denomin. =        0.6239070E-01

  global error =        0.1982705E-03 iter. number =  1500 denomin. =        0.6241584E-01

  global error =        0.1773155E-03 iter. number =  1600 denomin. =        0.6244228E-01

  global error =        0.1686633E-03 iter. number =  1700 denomin. =        0.6246705E-01

  global error =        0.1587130E-03 iter. number =  1800 denomin. =        0.6249309E-01

  global error =        0.1460916E-03 iter. number =  1900 denomin. =        0.6251769E-01

  global error =        0.1404572E-03 iter. number =  2000 denomin. =        0.6253867E-01

  global error =        0.1260945E-03 iter. number =  2100 denomin. =        0.6255474E-01

  global error =        0.1188364E-03 iter. number =  2200 denomin. =        0.6257091E-01

  global error =        0.1102724E-03 iter. number =  2300 denomin. =        0.6258996E-01

  global error =        0.1011527E-03 iter. number =  2400 denomin. =        0.6260739E-01

  convergence  for freq. #   143 achieved in  2410 inner iterations 
 relative error value =       0.99963168E-04


  frequency number   142 frequency :       0.18395000E+01
 jw  real sour, imag sour =    142     -0.57588E-01      0.98995E-01

  global error =        0.4625623E-02 iter. number =   100 denomin. =        0.6805785E-01

  global error =        0.3764642E-02 iter. number =   200 denomin. =        0.6974135E-01

  global error =        0.1849587E-02 iter. number =   300 denomin. =        0.7173059E-01

  global error =        0.1131293E-02 iter. number =   400 denomin. =        0.7316476E-01

  global error =        0.1144897E-02 iter. number =   500 denomin. =        0.7364553E-01

  global error =        0.1009149E-02 iter. number =   600 denomin. =        0.7375410E-01

  global error =        0.9720758E-03 iter. number =   700 denomin. =        0.7368979E-01

  global error =        0.9245744E-03 iter. number =   800 denomin. =        0.7370073E-01

  global error =        0.8329472E-03 iter. number =   900 denomin. =        0.7369468E-01

  global error =        0.8186651E-03 iter. number =  1000 denomin. =        0.7368181E-01

  global error =        0.7344610E-03 iter. number =  1100 denomin. =        0.7368624E-01

  global error =        0.7046536E-03 iter. number =  1200 denomin. =        0.7366144E-01

  global error =        0.6654222E-03 iter. number =  1300 denomin. =        0.7364924E-01

  global error =        0.6123121E-03 iter. number =  1400 denomin. =        0.7365425E-01

  global error =        0.6027710E-03 iter. number =  1500 denomin. =        0.7364352E-01

  global error =        0.5470163E-03 iter. number =  1600 denomin. =        0.7362538E-01

  global error =        0.5313306E-03 iter. number =  1700 denomin. =        0.7359137E-01

  global error =        0.5016337E-03 iter. number =  1800 denomin. =        0.7358037E-01

  global error =        0.4613401E-03 iter. number =  1900 denomin. =        0.7358965E-01

  global error =        0.4531711E-03 iter. number =  2000 denomin. =        0.7358719E-01

  global error =        0.4109472E-03 iter. number =  2100 denomin. =        0.7356827E-01

  global error =        0.3973269E-03 iter. number =  2200 denomin. =        0.7353444E-01

  global error =        0.3740719E-03 iter. number =  2300 denomin. =        0.7351719E-01

  global error =        0.3417895E-03 iter. number =  2400 denomin. =        0.7351019E-01

  global error =        0.3339597E-03 iter. number =  2500 denomin. =        0.7348666E-01

  global error =        0.2995389E-03 iter. number =  2600 denomin. =        0.7344581E-01

  global error =        0.2858754E-03 iter. number =  2700 denomin. =        0.7340730E-01

  global error =        0.2673317E-03 iter. number =  2800 denomin. =        0.7339819E-01

  global error =        0.2416917E-03 iter. number =  2900 denomin. =        0.7340948E-01

  global error =        0.2350812E-03 iter. number =  3000 denomin. =        0.7340788E-01

  global error =        0.2115924E-03 iter. number =  3100 denomin. =        0.7338537E-01

  global error =        0.2009991E-03 iter. number =  3200 denomin. =        0.7336093E-01

  global error =        0.1895998E-03 iter. number =  3300 denomin. =        0.7335506E-01

  global error =        0.1715775E-03 iter. number =  3400 denomin. =        0.7336380E-01

  global error =        0.1673309E-03 iter. number =  3500 denomin. =        0.7336450E-01

  global error =        0.1515357E-03 iter. number =  3600 denomin. =        0.7335311E-01

  global error =        0.1444661E-03 iter. number =  3700 denomin. =        0.7334280E-01

  global error =        0.1383249E-03 iter. number =  3800 denomin. =        0.7334209E-01

  global error =        0.1264978E-03 iter. number =  3900 denomin. =        0.7334528E-01

  global error =        0.1240147E-03 iter. number =  4000 denomin. =        0.7334107E-01

  NO convergence  for freq. #   142 after   4001 inner iterations 
 relative error value reduction =       0.12401475E-03


  frequency number   141 frequency :       0.18265000E+01
 jw  real sour, imag sour =    141     -0.68050E-01      0.96959E-01

  global error =        0.4820554E-02 iter. number =   100 denomin. =        0.7679119E-01

  global error =        0.3833634E-02 iter. number =   200 denomin. =        0.7774049E-01

  global error =        0.1738729E-02 iter. number =   300 denomin. =        0.7914992E-01

  global error =        0.7047036E-03 iter. number =   400 denomin. =        0.7992316E-01

  global error =        0.6678147E-03 iter. number =   500 denomin. =        0.7920002E-01

  global error =        0.5602388E-03 iter. number =   600 denomin. =        0.7915119E-01

  global error =        0.5373014E-03 iter. number =   700 denomin. =        0.7927304E-01

  global error =        0.4668239E-03 iter. number =   800 denomin. =        0.7925369E-01

  global error =        0.4235963E-03 iter. number =   900 denomin. =        0.7924719E-01

  global error =        0.3784333E-03 iter. number =  1000 denomin. =        0.7927386E-01

  global error =        0.3225255E-03 iter. number =  1100 denomin. =        0.7928801E-01

  global error =        0.3024834E-03 iter. number =  1200 denomin. =        0.7928812E-01

  global error =        0.2619385E-03 iter. number =  1300 denomin. =        0.7928174E-01

  global error =        0.2515237E-03 iter. number =  1400 denomin. =        0.7927351E-01

  global error =        0.2161478E-03 iter. number =  1500 denomin. =        0.7927471E-01

  global error =        0.1877027E-03 iter. number =  1600 denomin. =        0.7927099E-01

  global error =        0.1646447E-03 iter. number =  1700 denomin. =        0.7926462E-01

  global error =        0.1426650E-03 iter. number =  1800 denomin. =        0.7924271E-01

  global error =        0.1343530E-03 iter. number =  1900 denomin. =        0.7921796E-01

  global error =        0.1175970E-03 iter. number =  2000 denomin. =        0.7919442E-01

  global error =        0.1103952E-03 iter. number =  2100 denomin. =        0.7917493E-01

  convergence  for freq. #   141 achieved in  2177 inner iterations 
 relative error value =       0.99966517E-04


  frequency number   140 frequency :       0.18135000E+01
 jw  real sour, imag sour =    140     -0.78626E-01      0.93910E-01

  global error =        0.4593082E-02 iter. number =   100 denomin. =        0.8560678E-01

  global error =        0.3672925E-02 iter. number =   200 denomin. =        0.8643688E-01

  global error =        0.1711595E-02 iter. number =   300 denomin. =        0.8638363E-01

  global error =        0.6261269E-03 iter. number =   400 denomin. =        0.8691071E-01

  global error =        0.5611223E-03 iter. number =   500 denomin. =        0.8672810E-01

  global error =        0.4697871E-03 iter. number =   600 denomin. =        0.8640135E-01

  global error =        0.4411517E-03 iter. number =   700 denomin. =        0.8626723E-01

  global error =        0.3684893E-03 iter. number =   800 denomin. =        0.8633124E-01

  global error =        0.3353424E-03 iter. number =   900 denomin. =        0.8643650E-01

  global error =        0.2875040E-03 iter. number =  1000 denomin. =        0.8651587E-01

  global error =        0.2546680E-03 iter. number =  1100 denomin. =        0.8658416E-01

  global error =        0.2341900E-03 iter. number =  1200 denomin. =        0.8664414E-01

  global error =        0.2004430E-03 iter. number =  1300 denomin. =        0.8670245E-01

  global error =        0.1794282E-03 iter. number =  1400 denomin. =        0.8676120E-01

  global error =        0.1578549E-03 iter. number =  1500 denomin. =        0.8681527E-01

  global error =        0.1512619E-03 iter. number =  1600 denomin. =        0.8687182E-01

  global error =        0.1392640E-03 iter. number =  1700 denomin. =        0.8692728E-01

  global error =        0.1309884E-03 iter. number =  1800 denomin. =        0.8697432E-01

  global error =        0.1203209E-03 iter. number =  1900 denomin. =        0.8701708E-01

  global error =        0.1111588E-03 iter. number =  2000 denomin. =        0.8705961E-01

  global error =        0.1037820E-03 iter. number =  2100 denomin. =        0.8709955E-01

  convergence  for freq. #   140 achieved in  2156 inner iterations 
 relative error value =       0.99934315E-04


  frequency number   139 frequency :       0.18005000E+01
 jw  real sour, imag sour =    139     -0.89223E-01      0.89809E-01

  global error =        0.4891907E-02 iter. number =   100 denomin. =        0.9136187E-01

  global error =        0.4038017E-02 iter. number =   200 denomin. =        0.9353007E-01

  global error =        0.2200540E-02 iter. number =   300 denomin. =        0.9775122E-01

  global error =        0.1315700E-02 iter. number =   400 denomin. =        0.1029287E+00

  global error =        0.1208803E-02 iter. number =   500 denomin. =        0.1050532E+00

  global error =        0.1059213E-02 iter. number =   600 denomin. =        0.1065722E+00

  global error =        0.1019551E-02 iter. number =   700 denomin. =        0.1069988E+00

  global error =        0.8937492E-03 iter. number =   800 denomin. =        0.1071253E+00

  global error =        0.8667020E-03 iter. number =   900 denomin. =        0.1071433E+00

  global error =        0.7618538E-03 iter. number =  1000 denomin. =        0.1071537E+00

  global error =        0.7240763E-03 iter. number =  1100 denomin. =        0.1071543E+00

  global error =        0.6394998E-03 iter. number =  1200 denomin. =        0.1071786E+00

  global error =        0.5942106E-03 iter. number =  1300 denomin. =        0.1071502E+00

  global error =        0.5473150E-03 iter. number =  1400 denomin. =        0.1071189E+00

  global error =        0.5012372E-03 iter. number =  1500 denomin. =        0.1071088E+00

  global error =        0.4799804E-03 iter. number =  1600 denomin. =        0.1071212E+00

  global error =        0.4272041E-03 iter. number =  1700 denomin. =        0.1071458E+00

  global error =        0.4159289E-03 iter. number =  1800 denomin. =        0.1071262E+00

  global error =        0.3648527E-03 iter. number =  1900 denomin. =        0.1070862E+00

  global error =        0.3543294E-03 iter. number =  2000 denomin. =        0.1070573E+00

  global error =        0.3138072E-03 iter. number =  2100 denomin. =        0.1070797E+00

  global error =        0.2923005E-03 iter. number =  2200 denomin. =        0.1070801E+00

  global error =        0.2617257E-03 iter. number =  2300 denomin. =        0.1070234E+00

  global error =        0.2289906E-03 iter. number =  2400 denomin. =        0.1069446E+00

  global error =        0.2135137E-03 iter. number =  2500 denomin. =        0.1069033E+00

  global error =        0.1816170E-03 iter. number =  2600 denomin. =        0.1069232E+00

  global error =        0.1769152E-03 iter. number =  2700 denomin. =        0.1069453E+00

  global error =        0.1516619E-03 iter. number =  2800 denomin. =        0.1069291E+00

  global error =        0.1474634E-03 iter. number =  2900 denomin. =        0.1068963E+00

  global error =        0.1317173E-03 iter. number =  3000 denomin. =        0.1068843E+00

  global error =        0.1237387E-03 iter. number =  3100 denomin. =        0.1068891E+00

  global error =        0.1159651E-03 iter. number =  3200 denomin. =        0.1068926E+00

  global error =        0.1045959E-03 iter. number =  3300 denomin. =        0.1068808E+00

  global error =        0.1014804E-03 iter. number =  3400 denomin. =        0.1068656E+00

  convergence  for freq. #   139 achieved in  3422 inner iterations 
 relative error value =       0.99995482E-04


  frequency number   138 frequency :       0.17875000E+01
 jw  real sour, imag sour =    138     -0.99743E-01      0.84625E-01

  global error =        0.5105791E-02 iter. number =   100 denomin. =        0.1139878E+00

  global error =        0.4107126E-02 iter. number =   200 denomin. =        0.1151670E+00

  global error =        0.2347196E-02 iter. number =   300 denomin. =        0.1142908E+00

  global error =        0.9570140E-03 iter. number =   400 denomin. =        0.1127245E+00

  global error =        0.8330705E-03 iter. number =   500 denomin. =        0.1085590E+00

  global error =        0.7345058E-03 iter. number =   600 denomin. =        0.1062172E+00

  global error =        0.6565958E-03 iter. number =   700 denomin. =        0.1058926E+00

  global error =        0.5825257E-03 iter. number =   800 denomin. =        0.1058440E+00

  global error =        0.5286683E-03 iter. number =   900 denomin. =        0.1058645E+00

  global error =        0.4575361E-03 iter. number =  1000 denomin. =        0.1059051E+00

  global error =        0.4051316E-03 iter. number =  1100 denomin. =        0.1059329E+00

  global error =        0.3518569E-03 iter. number =  1200 denomin. =        0.1059275E+00

  global error =        0.3263230E-03 iter. number =  1300 denomin. =        0.1059092E+00

  global error =        0.2904774E-03 iter. number =  1400 denomin. =        0.1059339E+00

  global error =        0.2695323E-03 iter. number =  1500 denomin. =        0.1059570E+00

  global error =        0.2248037E-03 iter. number =  1600 denomin. =        0.1059522E+00

  global error =        0.2012048E-03 iter. number =  1700 denomin. =        0.1059221E+00

  global error =        0.1681449E-03 iter. number =  1800 denomin. =        0.1058857E+00

  global error =        0.1533660E-03 iter. number =  1900 denomin. =        0.1058746E+00

  global error =        0.1329795E-03 iter. number =  2000 denomin. =        0.1058823E+00

  global error =        0.1213149E-03 iter. number =  2100 denomin. =        0.1058829E+00

  global error =        0.1048670E-03 iter. number =  2200 denomin. =        0.1058775E+00

  convergence  for freq. #   138 achieved in  2260 inner iterations 
 relative error value =       0.99999707E-04


  frequency number   137 frequency :       0.17745000E+01
 jw  real sour, imag sour =    137     -0.11008E+00      0.78338E-01

  global error =        0.4813517E-02 iter. number =   100 denomin. =        0.1116534E+00

  global error =        0.3852277E-02 iter. number =   200 denomin. =        0.1130240E+00

  global error =        0.2153107E-02 iter. number =   300 denomin. =        0.1143495E+00

  global error =        0.1012349E-02 iter. number =   400 denomin. =        0.1187331E+00

  global error =        0.7768958E-03 iter. number =   500 denomin. =        0.1213679E+00

  global error =        0.6822934E-03 iter. number =   600 denomin. =        0.1228967E+00

  global error =        0.5964156E-03 iter. number =   700 denomin. =        0.1225778E+00

  global error =        0.5432295E-03 iter. number =   800 denomin. =        0.1223329E+00

  global error =        0.4844994E-03 iter. number =   900 denomin. =        0.1222223E+00

  global error =        0.4426534E-03 iter. number =  1000 denomin. =        0.1222588E+00

  global error =        0.3989116E-03 iter. number =  1100 denomin. =        0.1222995E+00

  global error =        0.3606950E-03 iter. number =  1200 denomin. =        0.1223476E+00

  global error =        0.3172390E-03 iter. number =  1300 denomin. =        0.1224058E+00

  global error =        0.2711237E-03 iter. number =  1400 denomin. =        0.1224527E+00

  global error =        0.2381941E-03 iter. number =  1500 denomin. =        0.1224659E+00

  global error =        0.2147764E-03 iter. number =  1600 denomin. =        0.1224623E+00

  global error =        0.1983616E-03 iter. number =  1700 denomin. =        0.1224704E+00

  global error =        0.1825905E-03 iter. number =  1800 denomin. =        0.1224834E+00

  global error =        0.1716057E-03 iter. number =  1900 denomin. =        0.1224954E+00

  global error =        0.1591591E-03 iter. number =  2000 denomin. =        0.1225043E+00

  global error =        0.1515494E-03 iter. number =  2100 denomin. =        0.1225097E+00

  global error =        0.1406226E-03 iter. number =  2200 denomin. =        0.1225224E+00

  global error =        0.1348630E-03 iter. number =  2300 denomin. =        0.1225383E+00

  global error =        0.1250118E-03 iter. number =  2400 denomin. =        0.1225574E+00

  global error =        0.1205358E-03 iter. number =  2500 denomin. =        0.1225735E+00

  global error =        0.1091494E-03 iter. number =  2600 denomin. =        0.1225859E+00

  global error =        0.1032842E-03 iter. number =  2700 denomin. =        0.1225888E+00

  convergence  for freq. #   137 achieved in  2739 inner iterations 
 relative error value =       0.99991086E-04


  frequency number   136 frequency :       0.17615000E+01
 jw  real sour, imag sour =    136     -0.12013E+00      0.70936E-01

  global error =        0.5007295E-02 iter. number =   100 denomin. =        0.1303138E+00

  global error =        0.4136574E-02 iter. number =   200 denomin. =        0.1329863E+00

  global error =        0.2594665E-02 iter. number =   300 denomin. =        0.1376346E+00

  global error =        0.1270209E-02 iter. number =   400 denomin. =        0.1453507E+00

  global error =        0.9430689E-03 iter. number =   500 denomin. =        0.1477189E+00

  global error =        0.8304477E-03 iter. number =   600 denomin. =        0.1486741E+00

  global error =        0.6892535E-03 iter. number =   700 denomin. =        0.1495301E+00

  global error =        0.6369757E-03 iter. number =   800 denomin. =        0.1493378E+00

  global error =        0.5398360E-03 iter. number =   900 denomin. =        0.1494539E+00

  global error =        0.4965473E-03 iter. number =  1000 denomin. =        0.1495074E+00

  global error =        0.4183822E-03 iter. number =  1100 denomin. =        0.1494554E+00

  global error =        0.3772921E-03 iter. number =  1200 denomin. =        0.1494760E+00

  global error =        0.3176876E-03 iter. number =  1300 denomin. =        0.1495076E+00

  global error =        0.2940958E-03 iter. number =  1400 denomin. =        0.1495012E+00

  global error =        0.2538613E-03 iter. number =  1500 denomin. =        0.1494754E+00

  global error =        0.2348851E-03 iter. number =  1600 denomin. =        0.1494294E+00

  global error =        0.2047281E-03 iter. number =  1700 denomin. =        0.1494259E+00

  global error =        0.1879508E-03 iter. number =  1800 denomin. =        0.1494487E+00

  global error =        0.1593797E-03 iter. number =  1900 denomin. =        0.1494418E+00

  global error =        0.1424002E-03 iter. number =  2000 denomin. =        0.1494001E+00

  global error =        0.1209185E-03 iter. number =  2100 denomin. =        0.1493485E+00

  global error =        0.1097299E-03 iter. number =  2200 denomin. =        0.1493047E+00

  convergence  for freq. #   136 achieved in  2272 inner iterations 
 relative error value =       0.99928310E-04


  frequency number   135 frequency :       0.17485000E+01
 jw  real sour, imag sour =    135     -0.12977E+00      0.62418E-01

  global error =        0.5504213E-02 iter. number =   100 denomin. =        0.1576512E+00

  global error =        0.4365245E-02 iter. number =   200 denomin. =        0.1612298E+00

  global error =        0.2904775E-02 iter. number =   300 denomin. =        0.1587376E+00

  global error =        0.1153639E-02 iter. number =   400 denomin. =        0.1551777E+00

  global error =        0.9160226E-03 iter. number =   500 denomin. =        0.1492311E+00

  global error =        0.8062489E-03 iter. number =   600 denomin. =        0.1456163E+00

  global error =        0.6800105E-03 iter. number =   700 denomin. =        0.1445838E+00

  global error =        0.6167750E-03 iter. number =   800 denomin. =        0.1453774E+00

  global error =        0.5373610E-03 iter. number =   900 denomin. =        0.1460213E+00

  global error =        0.4815352E-03 iter. number =  1000 denomin. =        0.1463048E+00

  global error =        0.4264932E-03 iter. number =  1100 denomin. =        0.1462531E+00

  global error =        0.3682111E-03 iter. number =  1200 denomin. =        0.1463196E+00

  global error =        0.3302484E-03 iter. number =  1300 denomin. =        0.1464551E+00

  global error =        0.2876269E-03 iter. number =  1400 denomin. =        0.1466362E+00

  global error =        0.2592224E-03 iter. number =  1500 denomin. =        0.1467526E+00

  global error =        0.2168891E-03 iter. number =  1600 denomin. =        0.1468565E+00

  global error =        0.1902118E-03 iter. number =  1700 denomin. =        0.1469134E+00

  global error =        0.1656552E-03 iter. number =  1800 denomin. =        0.1469408E+00

  global error =        0.1475474E-03 iter. number =  1900 denomin. =        0.1469822E+00

  global error =        0.1342581E-03 iter. number =  2000 denomin. =        0.1470441E+00

  global error =        0.1207166E-03 iter. number =  2100 denomin. =        0.1471108E+00

  global error =        0.1096829E-03 iter. number =  2200 denomin. =        0.1471594E+00

  convergence  for freq. #   135 achieved in  2280 inner iterations 
 relative error value =       0.99951369E-04


  frequency number   134 frequency :       0.17355000E+01
 jw  real sour, imag sour =    134     -0.13889E+00      0.52793E-01

  global error =        0.5084789E-02 iter. number =   100 denomin. =        0.1524197E+00

  global error =        0.4254292E-02 iter. number =   200 denomin. =        0.1505295E+00

  global error =        0.2997338E-02 iter. number =   300 denomin. =        0.1514832E+00

  global error =        0.1765336E-02 iter. number =   400 denomin. =        0.1604397E+00

  global error =        0.1376100E-02 iter. number =   500 denomin. =        0.1703950E+00

  global error =        0.1195468E-02 iter. number =   600 denomin. =        0.1758822E+00

  global error =        0.1019164E-02 iter. number =   700 denomin. =        0.1788215E+00

  global error =        0.8945503E-03 iter. number =   800 denomin. =        0.1790044E+00

  global error =        0.8045301E-03 iter. number =   900 denomin. =        0.1784205E+00

  global error =        0.6943623E-03 iter. number =  1000 denomin. =        0.1782009E+00

  global error =        0.6409495E-03 iter. number =  1100 denomin. =        0.1775451E+00

  global error =        0.5456300E-03 iter. number =  1200 denomin. =        0.1773055E+00

  global error =        0.5073234E-03 iter. number =  1300 denomin. =        0.1772235E+00

  global error =        0.4249439E-03 iter. number =  1400 denomin. =        0.1771065E+00

  global error =        0.3925882E-03 iter. number =  1500 denomin. =        0.1771413E+00

  global error =        0.3392432E-03 iter. number =  1600 denomin. =        0.1771686E+00

  global error =        0.3127788E-03 iter. number =  1700 denomin. =        0.1771456E+00

  global error =        0.2794077E-03 iter. number =  1800 denomin. =        0.1771801E+00

  global error =        0.2509761E-03 iter. number =  1900 denomin. =        0.1772268E+00

  global error =        0.2298800E-03 iter. number =  2000 denomin. =        0.1772677E+00

  global error =        0.2013176E-03 iter. number =  2100 denomin. =        0.1772838E+00

  global error =        0.1899389E-03 iter. number =  2200 denomin. =        0.1772775E+00

  global error =        0.1628202E-03 iter. number =  2300 denomin. =        0.1773075E+00

  global error =        0.1558876E-03 iter. number =  2400 denomin. =        0.1773471E+00

  global error =        0.1327483E-03 iter. number =  2500 denomin. =        0.1773670E+00

  global error =        0.1285420E-03 iter. number =  2600 denomin. =        0.1773523E+00

  global error =        0.1092944E-03 iter. number =  2700 denomin. =        0.1773329E+00

  global error =        0.1057887E-03 iter. number =  2800 denomin. =        0.1773224E+00

  convergence  for freq. #   134 achieved in  2855 inner iterations 
 relative error value =       0.99884117E-04


  frequency number   133 frequency :       0.17225000E+01
 jw  real sour, imag sour =    133     -0.14737E+00      0.42083E-01

  global error =        0.5608002E-02 iter. number =   100 denomin. =        0.1891554E+00

  global error =        0.4524498E-02 iter. number =   200 denomin. =        0.1993771E+00

  global error =        0.3344357E-02 iter. number =   300 denomin. =        0.2084442E+00

  global error =        0.1756101E-02 iter. number =   400 denomin. =        0.2158607E+00

  global error =        0.1096731E-02 iter. number =   500 denomin. =        0.2160286E+00

  global error =        0.9748225E-03 iter. number =   600 denomin. =        0.2058479E+00

  global error =        0.7843403E-03 iter. number =   700 denomin. =        0.1987618E+00

  global error =        0.6440996E-03 iter. number =   800 denomin. =        0.1953543E+00

  global error =        0.5670030E-03 iter. number =   900 denomin. =        0.1934426E+00

  global error =        0.5027869E-03 iter. number =  1000 denomin. =        0.1915681E+00

  global error =        0.4284262E-03 iter. number =  1100 denomin. =        0.1911046E+00

  global error =        0.3682495E-03 iter. number =  1200 denomin. =        0.1913537E+00

  global error =        0.3135220E-03 iter. number =  1300 denomin. =        0.1920708E+00

  global error =        0.2775736E-03 iter. number =  1400 denomin. =        0.1923927E+00

  global error =        0.2549756E-03 iter. number =  1500 denomin. =        0.1926928E+00

  global error =        0.2314780E-03 iter. number =  1600 denomin. =        0.1930001E+00

  global error =        0.2083512E-03 iter. number =  1700 denomin. =        0.1933182E+00

  global error =        0.1858805E-03 iter. number =  1800 denomin. =        0.1935807E+00

  global error =        0.1642966E-03 iter. number =  1900 denomin. =        0.1937976E+00

  global error =        0.1524431E-03 iter. number =  2000 denomin. =        0.1939759E+00

  global error =        0.1368070E-03 iter. number =  2100 denomin. =        0.1941620E+00

  global error =        0.1276500E-03 iter. number =  2200 denomin. =        0.1943266E+00

  global error =        0.1135841E-03 iter. number =  2300 denomin. =        0.1944541E+00

  global error =        0.1033236E-03 iter. number =  2400 denomin. =        0.1945864E+00

  convergence  for freq. #   133 achieved in  2426 inner iterations 
 relative error value =       0.99970737E-04


  frequency number   132 frequency :       0.17095000E+01
 jw  real sour, imag sour =    132     -0.15509E+00      0.30322E-01

  global error =        0.5833469E-02 iter. number =   100 denomin. =        0.2005574E+00

  global error =        0.4935524E-02 iter. number =   200 denomin. =        0.1975802E+00

  global error =        0.4033576E-02 iter. number =   300 denomin. =        0.1905211E+00

  global error =        0.2651098E-02 iter. number =   400 denomin. =        0.1883245E+00

  global error =        0.2272079E-02 iter. number =   500 denomin. =        0.1960783E+00

  global error =        0.1916335E-02 iter. number =   600 denomin. =        0.2039922E+00

  global error =        0.1679578E-02 iter. number =   700 denomin. =        0.2075675E+00

  global error =        0.1481013E-02 iter. number =   800 denomin. =        0.2066438E+00

  global error =        0.1342972E-02 iter. number =   900 denomin. =        0.2022688E+00

  global error =        0.1229436E-02 iter. number =  1000 denomin. =        0.1992915E+00

  global error =        0.1097857E-02 iter. number =  1100 denomin. =        0.1984917E+00

  global error =        0.1010151E-02 iter. number =  1200 denomin. =        0.1977498E+00

  global error =        0.9208135E-03 iter. number =  1300 denomin. =        0.1976530E+00

  global error =        0.8301833E-03 iter. number =  1400 denomin. =        0.1977718E+00

  global error =        0.7860720E-03 iter. number =  1500 denomin. =        0.1978266E+00

  global error =        0.6959701E-03 iter. number =  1600 denomin. =        0.1981099E+00

  global error =        0.6744964E-03 iter. number =  1700 denomin. =        0.1982716E+00

  global error =        0.6033698E-03 iter. number =  1800 denomin. =        0.1980894E+00

  global error =        0.5778333E-03 iter. number =  1900 denomin. =        0.1980109E+00

  global error =        0.5357667E-03 iter. number =  2000 denomin. =        0.1979923E+00

  global error =        0.4966102E-03 iter. number =  2100 denomin. =        0.1980031E+00

  global error =        0.4773294E-03 iter. number =  2200 denomin. =        0.1978974E+00

  global error =        0.4333816E-03 iter. number =  2300 denomin. =        0.1978543E+00

  global error =        0.4206302E-03 iter. number =  2400 denomin. =        0.1977860E+00

  global error =        0.3886089E-03 iter. number =  2500 denomin. =        0.1978162E+00

  global error =        0.3673274E-03 iter. number =  2600 denomin. =        0.1977883E+00

  global error =        0.3529135E-03 iter. number =  2700 denomin. =        0.1977446E+00

  global error =        0.3239379E-03 iter. number =  2800 denomin. =        0.1977341E+00

  global error =        0.3179281E-03 iter. number =  2900 denomin. =        0.1977417E+00

  global error =        0.2935700E-03 iter. number =  3000 denomin. =        0.1977229E+00

  global error =        0.2811356E-03 iter. number =  3100 denomin. =        0.1976893E+00

  global error =        0.2709580E-03 iter. number =  3200 denomin. =        0.1976640E+00

  global error =        0.2491999E-03 iter. number =  3300 denomin. =        0.1976610E+00

  global error =        0.2479450E-03 iter. number =  3400 denomin. =        0.1976443E+00

  global error =        0.2261806E-03 iter. number =  3500 denomin. =        0.1976334E+00

  global error =        0.2220415E-03 iter. number =  3600 denomin. =        0.1976160E+00

  global error =        0.2103436E-03 iter. number =  3700 denomin. =        0.1976147E+00

  global error =        0.1972019E-03 iter. number =  3800 denomin. =        0.1976075E+00

  global error =        0.1952705E-03 iter. number =  3900 denomin. =        0.1975878E+00

  global error =        0.1779304E-03 iter. number =  4000 denomin. =        0.1975888E+00

  NO convergence  for freq. #   132 after   4001 inner iterations 
 relative error value reduction =       0.17793039E-03


  frequency number   131 frequency :       0.16965000E+01
 jw  real sour, imag sour =    131     -0.16194E+00      0.17557E-01

  global error =        0.5273179E-02 iter. number =   100 denomin. =        0.2096862E+00

  global error =        0.4353157E-02 iter. number =   200 denomin. =        0.2166120E+00

  global error =        0.3444036E-02 iter. number =   300 denomin. =        0.2316649E+00

  global error =        0.2086632E-02 iter. number =   400 denomin. =        0.2525543E+00

  global error =        0.1448499E-02 iter. number =   500 denomin. =        0.2767132E+00

  global error =        0.9905253E-03 iter. number =   600 denomin. =        0.2877028E+00

  global error =        0.8693982E-03 iter. number =   700 denomin. =        0.2863169E+00

  global error =        0.7072461E-03 iter. number =   800 denomin. =        0.2863937E+00

  global error =        0.5790270E-03 iter. number =   900 denomin. =        0.2872492E+00

  global error =        0.5102733E-03 iter. number =  1000 denomin. =        0.2863984E+00

  global error =        0.4573110E-03 iter. number =  1100 denomin. =        0.2838421E+00

  global error =        0.4044609E-03 iter. number =  1200 denomin. =        0.2812786E+00

  global error =        0.3428484E-03 iter. number =  1300 denomin. =        0.2811918E+00

  global error =        0.3008162E-03 iter. number =  1400 denomin. =        0.2815580E+00

  global error =        0.2809845E-03 iter. number =  1500 denomin. =        0.2815938E+00

  global error =        0.2514899E-03 iter. number =  1600 denomin. =        0.2813492E+00

  global error =        0.2382385E-03 iter. number =  1700 denomin. =        0.2809965E+00

  global error =        0.2113817E-03 iter. number =  1800 denomin. =        0.2812668E+00

  global error =        0.1913256E-03 iter. number =  1900 denomin. =        0.2814662E+00

  global error =        0.1783685E-03 iter. number =  2000 denomin. =        0.2812926E+00

  global error =        0.1579317E-03 iter. number =  2100 denomin. =        0.2810533E+00

  global error =        0.1563766E-03 iter. number =  2200 denomin. =        0.2806527E+00

  global error =        0.1380336E-03 iter. number =  2300 denomin. =        0.2804901E+00

  global error =        0.1338384E-03 iter. number =  2400 denomin. =        0.2802987E+00

  global error =        0.1255160E-03 iter. number =  2500 denomin. =        0.2799752E+00

  global error =        0.1118085E-03 iter. number =  2600 denomin. =        0.2797722E+00

  global error =        0.1109150E-03 iter. number =  2700 denomin. =        0.2795704E+00

  convergence  for freq. #   131 achieved in  2767 inner iterations 
 relative error value =       0.99932218E-04


  frequency number   130 frequency :       0.16835000E+01
 jw  real sour, imag sour =    130     -0.16780E+00      0.38443E-02

  global error =        0.6410626E-02 iter. number =   100 denomin. =        0.2929270E+00

  global error =        0.5375460E-02 iter. number =   200 denomin. =        0.2879457E+00

  global error =        0.4732889E-02 iter. number =   300 denomin. =        0.2659625E+00

  global error =        0.3362943E-02 iter. number =   400 denomin. =        0.2353480E+00

  global error =        0.2304770E-02 iter. number =   500 denomin. =        0.2248333E+00

  global error =        0.1882646E-02 iter. number =   600 denomin. =        0.2320601E+00

  global error =        0.1550259E-02 iter. number =   700 denomin. =        0.2462254E+00

  global error =        0.1155398E-02 iter. number =   800 denomin. =        0.2548567E+00

  global error =        0.1010633E-02 iter. number =   900 denomin. =        0.2539717E+00

  global error =        0.9550659E-03 iter. number =  1000 denomin. =        0.2481583E+00

  global error =        0.8623075E-03 iter. number =  1100 denomin. =        0.2409374E+00

  global error =        0.7391516E-03 iter. number =  1200 denomin. =        0.2359654E+00

  global error =        0.6501646E-03 iter. number =  1300 denomin. =        0.2342335E+00

  global error =        0.5785179E-03 iter. number =  1400 denomin. =        0.2334243E+00

  global error =        0.5342210E-03 iter. number =  1500 denomin. =        0.2324802E+00

  global error =        0.4776460E-03 iter. number =  1600 denomin. =        0.2320799E+00

  global error =        0.4252021E-03 iter. number =  1700 denomin. =        0.2329277E+00

  global error =        0.3828814E-03 iter. number =  1800 denomin. =        0.2343721E+00

  global error =        0.3414498E-03 iter. number =  1900 denomin. =        0.2349417E+00

  global error =        0.3102174E-03 iter. number =  2000 denomin. =        0.2352255E+00

  global error =        0.2819946E-03 iter. number =  2100 denomin. =        0.2358866E+00

  global error =        0.2581380E-03 iter. number =  2200 denomin. =        0.2360588E+00

  global error =        0.2377639E-03 iter. number =  2300 denomin. =        0.2357374E+00

  global error =        0.2233027E-03 iter. number =  2400 denomin. =        0.2354815E+00

  global error =        0.2065161E-03 iter. number =  2500 denomin. =        0.2354546E+00

  global error =        0.1910674E-03 iter. number =  2600 denomin. =        0.2355100E+00

  global error =        0.1765166E-03 iter. number =  2700 denomin. =        0.2352394E+00

  global error =        0.1629376E-03 iter. number =  2800 denomin. =        0.2350444E+00

  global error =        0.1511440E-03 iter. number =  2900 denomin. =        0.2352338E+00

  global error =        0.1397782E-03 iter. number =  3000 denomin. =        0.2352591E+00

  global error =        0.1336786E-03 iter. number =  3100 denomin. =        0.2351675E+00

  global error =        0.1240307E-03 iter. number =  3200 denomin. =        0.2352061E+00

  global error =        0.1173548E-03 iter. number =  3300 denomin. =        0.2352529E+00

  global error =        0.1138232E-03 iter. number =  3400 denomin. =        0.2352995E+00

  global error =        0.1041981E-03 iter. number =  3500 denomin. =        0.2352415E+00

  global error =        0.1001051E-03 iter. number =  3600 denomin. =        0.2352111E+00

  convergence  for freq. #   130 achieved in  3611 inner iterations 
 relative error value =       0.99992391E-04


  frequency number   129 frequency :       0.16705000E+01
 jw  real sour, imag sour =    129     -0.17255E+00     -0.10743E-01

  global error =        0.5523419E-02 iter. number =   100 denomin. =        0.2415185E+00

  global error =        0.4752917E-02 iter. number =   200 denomin. =        0.2483765E+00

  global error =        0.3865710E-02 iter. number =   300 denomin. =        0.2774374E+00

  global error =        0.2813242E-02 iter. number =   400 denomin. =        0.3114260E+00

  global error =        0.2157912E-02 iter. number =   500 denomin. =        0.3446387E+00

  global error =        0.1817961E-02 iter. number =   600 denomin. =        0.3719176E+00

  global error =        0.1452280E-02 iter. number =   700 denomin. =        0.3834335E+00

  global error =        0.1196459E-02 iter. number =   800 denomin. =        0.3738847E+00

  global error =        0.1126174E-02 iter. number =   900 denomin. =        0.3522580E+00

  global error =        0.1070059E-02 iter. number =  1000 denomin. =        0.3296648E+00

  global error =        0.9452230E-03 iter. number =  1100 denomin. =        0.3113084E+00

  global error =        0.7905832E-03 iter. number =  1200 denomin. =        0.2981711E+00

  global error =        0.6883956E-03 iter. number =  1300 denomin. =        0.2889390E+00

  global error =        0.6470216E-03 iter. number =  1400 denomin. =        0.2821855E+00

  global error =        0.6231860E-03 iter. number =  1500 denomin. =        0.2772391E+00

  global error =        0.5675693E-03 iter. number =  1600 denomin. =        0.2735298E+00

  global error =        0.4988814E-03 iter. number =  1700 denomin. =        0.2709620E+00

  global error =        0.4484834E-03 iter. number =  1800 denomin. =        0.2704848E+00

  global error =        0.4155942E-03 iter. number =  1900 denomin. =        0.2725638E+00

  global error =        0.3805022E-03 iter. number =  2000 denomin. =        0.2760384E+00

  global error =        0.3478924E-03 iter. number =  2100 denomin. =        0.2791847E+00

  global error =        0.3343299E-03 iter. number =  2200 denomin. =        0.2812892E+00

  global error =        0.3146764E-03 iter. number =  2300 denomin. =        0.2823684E+00

  global error =        0.2861980E-03 iter. number =  2400 denomin. =        0.2823192E+00

  global error =        0.2794490E-03 iter. number =  2500 denomin. =        0.2812690E+00

  global error =        0.2746513E-03 iter. number =  2600 denomin. =        0.2802066E+00

  global error =        0.2518480E-03 iter. number =  2700 denomin. =        0.2800711E+00

  global error =        0.2343578E-03 iter. number =  2800 denomin. =        0.2806148E+00

  global error =        0.2304926E-03 iter. number =  2900 denomin. =        0.2809640E+00

  global error =        0.2226117E-03 iter. number =  3000 denomin. =        0.2808329E+00

  global error =        0.2069898E-03 iter. number =  3100 denomin. =        0.2805363E+00

  global error =        0.2006751E-03 iter. number =  3200 denomin. =        0.2801917E+00

  global error =        0.2011982E-03 iter. number =  3300 denomin. =        0.2796960E+00

  global error =        0.1890673E-03 iter. number =  3400 denomin. =        0.2792764E+00

  global error =        0.1761301E-03 iter. number =  3500 denomin. =        0.2793339E+00

  global error =        0.1747996E-03 iter. number =  3600 denomin. =        0.2798082E+00

  global error =        0.1700541E-03 iter. number =  3700 denomin. =        0.2801700E+00

  global error =        0.1583638E-03 iter. number =  3800 denomin. =        0.2801579E+00

  global error =        0.1531188E-03 iter. number =  3900 denomin. =        0.2800323E+00

  global error =        0.1538381E-03 iter. number =  4000 denomin. =        0.2800138E+00

  NO convergence  for freq. #   129 after   4001 inner iterations 
 relative error value reduction =       0.15383808E-03


  frequency number   128 frequency :       0.16575000E+01
 jw  real sour, imag sour =    128     -0.17609E+00     -0.26121E-01

  global error =        0.5900375E-02 iter. number =   100 denomin. =        0.2844129E+00

  global error =        0.5083662E-02 iter. number =   200 denomin. =        0.2666573E+00

  global error =        0.4769163E-02 iter. number =   300 denomin. =        0.2499167E+00

  global error =        0.4018266E-02 iter. number =   400 denomin. =        0.2512635E+00

  global error =        0.2734045E-02 iter. number =   500 denomin. =        0.2751874E+00

  global error =        0.2112072E-02 iter. number =   600 denomin. =        0.3128645E+00

  global error =        0.1897712E-02 iter. number =   700 denomin. =        0.3536619E+00

  global error =        0.1696256E-02 iter. number =   800 denomin. =        0.3968679E+00

  global error =        0.1370248E-02 iter. number =   900 denomin. =        0.4413005E+00

  global error =        0.1025114E-02 iter. number =  1000 denomin. =        0.4830120E+00

  global error =        0.8437436E-03 iter. number =  1100 denomin. =        0.5199011E+00

  global error =        0.7723729E-03 iter. number =  1200 denomin. =        0.5548501E+00

  global error =        0.7110018E-03 iter. number =  1300 denomin. =        0.5905137E+00

  global error =        0.6496515E-03 iter. number =  1400 denomin. =        0.6256319E+00

  global error =        0.5843801E-03 iter. number =  1500 denomin. =        0.6576641E+00

  global error =        0.5101725E-03 iter. number =  1600 denomin. =        0.6864817E+00

  global error =        0.4619482E-03 iter. number =  1700 denomin. =        0.7135793E+00

  global error =        0.4235028E-03 iter. number =  1800 denomin. =        0.7394765E+00

  global error =        0.3703183E-03 iter. number =  1900 denomin. =        0.7630853E+00

  global error =        0.3250081E-03 iter. number =  2000 denomin. =        0.7830445E+00

  global error =        0.2972187E-03 iter. number =  2100 denomin. =        0.7992878E+00

  global error =        0.2747466E-03 iter. number =  2200 denomin. =        0.8132684E+00

  global error =        0.2594561E-03 iter. number =  2300 denomin. =        0.8265787E+00

  global error =        0.2523421E-03 iter. number =  2400 denomin. =        0.8398570E+00

  global error =        0.2392024E-03 iter. number =  2500 denomin. =        0.8527196E+00

  global error =        0.2166847E-03 iter. number =  2600 denomin. =        0.8644045E+00

  global error =        0.1965376E-03 iter. number =  2700 denomin. =        0.8743896E+00

  global error =        0.1826415E-03 iter. number =  2800 denomin. =        0.8824242E+00

  global error =        0.1713794E-03 iter. number =  2900 denomin. =        0.8885865E+00

  global error =        0.1618928E-03 iter. number =  3000 denomin. =        0.8933107E+00

  global error =        0.1585009E-03 iter. number =  3100 denomin. =        0.8971510E+00

  global error =        0.1539732E-03 iter. number =  3200 denomin. =        0.9007489E+00

  global error =        0.1463604E-03 iter. number =  3300 denomin. =        0.9046181E+00

  global error =        0.1405432E-03 iter. number =  3400 denomin. =        0.9088222E+00

  global error =        0.1363695E-03 iter. number =  3500 denomin. =        0.9129226E+00

  global error =        0.1273935E-03 iter. number =  3600 denomin. =        0.9162865E+00

  global error =        0.1186189E-03 iter. number =  3700 denomin. =        0.9185530E+00

  global error =        0.1152433E-03 iter. number =  3800 denomin. =        0.9197591E+00

  global error =        0.1143460E-03 iter. number =  3900 denomin. =        0.9201854E+00

  global error =        0.1110025E-03 iter. number =  4000 denomin. =        0.9203131E+00

  NO convergence  for freq. #   128 after   4001 inner iterations 
 relative error value reduction =       0.11100249E-03


  frequency number   127 frequency :       0.16445000E+01
 jw  real sour, imag sour =    127     -0.17832E+00     -0.42193E-01

  global error =        0.7759600E-02 iter. number =   100 denomin. =        0.9279064E+00

  global error =        0.7135934E-02 iter. number =   200 denomin. =        0.9029805E+00

  global error =        0.6902702E-02 iter. number =   300 denomin. =        0.8275026E+00

  global error =        0.7025799E-02 iter. number =   400 denomin. =        0.7034486E+00

  global error =        0.7167212E-02 iter. number =   500 denomin. =        0.5631513E+00

  global error =        0.6922160E-02 iter. number =   600 denomin. =        0.4675329E+00

  global error =        0.6237247E-02 iter. number =   700 denomin. =        0.4481798E+00

  global error =        0.5443609E-02 iter. number =   800 denomin. =        0.4715854E+00

  global error =        0.4848926E-02 iter. number =   900 denomin. =        0.4957795E+00

  global error =        0.4443426E-02 iter. number =  1000 denomin. =        0.4984620E+00

  global error =        0.4167261E-02 iter. number =  1100 denomin. =        0.4822419E+00

  global error =        0.3890752E-02 iter. number =  1200 denomin. =        0.4694954E+00

  global error =        0.3561594E-02 iter. number =  1300 denomin. =        0.4787086E+00

  global error =        0.3216983E-02 iter. number =  1400 denomin. =        0.5081152E+00

  global error =        0.2868223E-02 iter. number =  1500 denomin. =        0.5422327E+00

  global error =        0.2534660E-02 iter. number =  1600 denomin. =        0.5643591E+00

  global error =        0.2284763E-02 iter. number =  1700 denomin. =        0.5676433E+00

  global error =        0.2146224E-02 iter. number =  1800 denomin. =        0.5591192E+00

  global error =        0.2051290E-02 iter. number =  1900 denomin. =        0.5519185E+00

  global error =        0.1941797E-02 iter. number =  2000 denomin. =        0.5551026E+00

  global error =        0.1824706E-02 iter. number =  2100 denomin. =        0.5685428E+00

  global error =        0.1705051E-02 iter. number =  2200 denomin. =        0.5835673E+00

  global error =        0.1580968E-02 iter. number =  2300 denomin. =        0.5895039E+00

  global error =        0.1469132E-02 iter. number =  2400 denomin. =        0.5816817E+00

  global error =        0.1382050E-02 iter. number =  2500 denomin. =        0.5633082E+00

  global error =        0.1309816E-02 iter. number =  2600 denomin. =        0.5422023E+00

  global error =        0.1250017E-02 iter. number =  2700 denomin. =        0.5255850E+00

  global error =        0.1210451E-02 iter. number =  2800 denomin. =        0.5156639E+00

  global error =        0.1183361E-02 iter. number =  2900 denomin. =        0.5088509E+00

  global error =        0.1148026E-02 iter. number =  3000 denomin. =        0.4993027E+00

  global error =        0.1104283E-02 iter. number =  3100 denomin. =        0.4835130E+00

  global error =        0.1066007E-02 iter. number =  3200 denomin. =        0.4621710E+00

  global error =        0.1039760E-02 iter. number =  3300 denomin. =        0.4391252E+00

  global error =        0.1021367E-02 iter. number =  3400 denomin. =        0.4184402E+00

  global error =        0.1003465E-02 iter. number =  3500 denomin. =        0.4019777E+00

  global error =        0.9845110E-03 iter. number =  3600 denomin. =        0.3890070E+00

  global error =        0.9713566E-03 iter. number =  3700 denomin. =        0.3773994E+00

  global error =        0.9686890E-03 iter. number =  3800 denomin. =        0.3652156E+00

  global error =        0.9680548E-03 iter. number =  3900 denomin. =        0.3518707E+00

  global error =        0.9578037E-03 iter. number =  4000 denomin. =        0.3384360E+00

  NO convergence  for freq. #   127 after   4001 inner iterations 
 relative error value reduction =       0.95780368E-03


  frequency number   126 frequency :       0.16315000E+01
 jw  real sour, imag sour =    126     -0.17913E+00     -0.58851E-01

  global error =        0.6044765E-02 iter. number =   100 denomin. =        0.3460737E+00

  global error =        0.5540277E-02 iter. number =   200 denomin. =        0.3259110E+00

  global error =        0.5572130E-02 iter. number =   300 denomin. =        0.2939070E+00

  global error =        0.5594923E-02 iter. number =   400 denomin. =        0.2722861E+00

  global error =        0.5404390E-02 iter. number =   500 denomin. =        0.2679488E+00

  global error =        0.5186664E-02 iter. number =   600 denomin. =        0.2738429E+00

  global error =        0.4941926E-02 iter. number =   700 denomin. =        0.2836124E+00

  global error =        0.4703203E-02 iter. number =   800 denomin. =        0.2899154E+00

  global error =        0.4594268E-02 iter. number =   900 denomin. =        0.2781668E+00

  global error =        0.4562839E-02 iter. number =  1000 denomin. =        0.2554774E+00

  global error =        0.4467504E-02 iter. number =  1100 denomin. =        0.2406779E+00

  global error =        0.4262538E-02 iter. number =  1200 denomin. =        0.2433121E+00

  global error =        0.4055723E-02 iter. number =  1300 denomin. =        0.2529147E+00

  global error =        0.3897699E-02 iter. number =  1400 denomin. =        0.2591947E+00

  global error =        0.3803192E-02 iter. number =  1500 denomin. =        0.2569823E+00

  global error =        0.3761977E-02 iter. number =  1600 denomin. =        0.2457315E+00

  global error =        0.3725795E-02 iter. number =  1700 denomin. =        0.2318911E+00

  global error =        0.3612538E-02 iter. number =  1800 denomin. =        0.2263484E+00

  global error =        0.3413469E-02 iter. number =  1900 denomin. =        0.2320412E+00

  global error =        0.3209673E-02 iter. number =  2000 denomin. =        0.2405988E+00

  global error =        0.3074430E-02 iter. number =  2100 denomin. =        0.2426035E+00

  global error =        0.3016440E-02 iter. number =  2200 denomin. =        0.2362208E+00

  global error =        0.2994598E-02 iter. number =  2300 denomin. =        0.2262689E+00

  global error =        0.2953288E-02 iter. number =  2400 denomin. =        0.2192260E+00

  global error =        0.2855387E-02 iter. number =  2500 denomin. =        0.2196509E+00

  global error =        0.2713394E-02 iter. number =  2600 denomin. =        0.2262286E+00

  global error =        0.2577764E-02 iter. number =  2700 denomin. =        0.2318061E+00

  global error =        0.2483991E-02 iter. number =  2800 denomin. =        0.2304083E+00

  global error =        0.2427254E-02 iter. number =  2900 denomin. =        0.2231233E+00

  global error =        0.2378088E-02 iter. number =  3000 denomin. =        0.2157213E+00

  global error =        0.2308517E-02 iter. number =  3100 denomin. =        0.2131672E+00

  global error =        0.2212568E-02 iter. number =  3200 denomin. =        0.2164296E+00

  global error =        0.2111815E-02 iter. number =  3300 denomin. =        0.2219126E+00

  global error =        0.2031684E-02 iter. number =  3400 denomin. =        0.2243138E+00

  global error =        0.1978420E-02 iter. number =  3500 denomin. =        0.2211486E+00

  global error =        0.1937826E-02 iter. number =  3600 denomin. =        0.2149221E+00

  global error =        0.1888504E-02 iter. number =  3700 denomin. =        0.2106794E+00

  global error =        0.1821755E-02 iter. number =  3800 denomin. =        0.2112569E+00

  global error =        0.1746008E-02 iter. number =  3900 denomin. =        0.2151558E+00

  global error =        0.1674705E-02 iter. number =  4000 denomin. =        0.2184883E+00

  NO convergence  for freq. #   126 after   4001 inner iterations 
 relative error value reduction =       0.16747047E-02


  frequency number   125 frequency :       0.16185000E+01
 jw  real sour, imag sour =    125     -0.17844E+00     -0.75973E-01

  global error =        0.4524391E-02 iter. number =   100 denomin. =        0.2268305E+00

  global error =        0.3822863E-02 iter. number =   200 denomin. =        0.2109011E+00

  global error =        0.3590213E-02 iter. number =   300 denomin. =        0.2058198E+00

  global error =        0.3347106E-02 iter. number =   400 denomin. =        0.2108381E+00

  global error =        0.3165732E-02 iter. number =   500 denomin. =        0.2094174E+00

  global error =        0.3062336E-02 iter. number =   600 denomin. =        0.2058977E+00

  global error =        0.2965081E-02 iter. number =   700 denomin. =        0.2061397E+00

  global error =        0.2819818E-02 iter. number =   800 denomin. =        0.2088280E+00

  global error =        0.2694568E-02 iter. number =   900 denomin. =        0.2064934E+00

  global error =        0.2574085E-02 iter. number =  1000 denomin. =        0.2033095E+00

  global error =        0.2408001E-02 iter. number =  1100 denomin. =        0.2065438E+00

  global error =        0.2272378E-02 iter. number =  1200 denomin. =        0.2058827E+00

  global error =        0.2182467E-02 iter. number =  1300 denomin. =        0.2026025E+00

  global error =        0.2089609E-02 iter. number =  1400 denomin. =        0.2039553E+00

  global error =        0.2002940E-02 iter. number =  1500 denomin. =        0.2055473E+00

  global error =        0.1934999E-02 iter. number =  1600 denomin. =        0.2036730E+00

  global error =        0.1857451E-02 iter. number =  1700 denomin. =        0.2021018E+00

  global error =        0.1754869E-02 iter. number =  1800 denomin. =        0.2042397E+00

  global error =        0.1660671E-02 iter. number =  1900 denomin. =        0.2040361E+00

  global error =        0.1582668E-02 iter. number =  2000 denomin. =        0.2014314E+00

  global error =        0.1501657E-02 iter. number =  2100 denomin. =        0.2024533E+00

  global error =        0.1432093E-02 iter. number =  2200 denomin. =        0.2037563E+00

  global error =        0.1382284E-02 iter. number =  2300 denomin. =        0.2020134E+00

  global error =        0.1331018E-02 iter. number =  2400 denomin. =        0.2011279E+00

  global error =        0.1268300E-02 iter. number =  2500 denomin. =        0.2028074E+00

  global error =        0.1209191E-02 iter. number =  2600 denomin. =        0.2026593E+00

  global error =        0.1153931E-02 iter. number =  2700 denomin. =        0.2006373E+00

  global error =        0.1092845E-02 iter. number =  2800 denomin. =        0.2012946E+00

  global error =        0.1037309E-02 iter. number =  2900 denomin. =        0.2025848E+00

  global error =        0.9956176E-03 iter. number =  3000 denomin. =        0.2012876E+00

  global error =        0.9568748E-03 iter. number =  3100 denomin. =        0.2004991E+00

  global error =        0.9153914E-03 iter. number =  3200 denomin. =        0.2017828E+00

  global error =        0.8767223E-03 iter. number =  3300 denomin. =        0.2018165E+00

  global error =        0.8409635E-03 iter. number =  3400 denomin. =        0.2003779E+00

  global error =        0.8020853E-03 iter. number =  3500 denomin. =        0.2007620E+00

  global error =        0.7626416E-03 iter. number =  3600 denomin. =        0.2018203E+00

  global error =        0.7279945E-03 iter. number =  3700 denomin. =        0.2009339E+00

  global error =        0.6959821E-03 iter. number =  3800 denomin. =        0.2002014E+00

  global error =        0.6651939E-03 iter. number =  3900 denomin. =        0.2011257E+00

  global error =        0.6384270E-03 iter. number =  4000 denomin. =        0.2013525E+00

  NO convergence  for freq. #   125 after   4001 inner iterations 
 relative error value reduction =       0.63842701E-03


  frequency number   124 frequency :       0.16055000E+01
 jw  real sour, imag sour =    124     -0.17617E+00     -0.93428E-01

  global error =        0.2483585E-02 iter. number =   100 denomin. =        0.2070284E+00

  global error =        0.1572148E-02 iter. number =   200 denomin. =        0.2023227E+00

  global error =        0.1395332E-02 iter. number =   300 denomin. =        0.2032891E+00

  global error =        0.1266238E-02 iter. number =   400 denomin. =        0.2029753E+00

  global error =        0.1119633E-02 iter. number =   500 denomin. =        0.2032317E+00

  global error =        0.9932076E-03 iter. number =   600 denomin. =        0.2023323E+00

  global error =        0.8863134E-03 iter. number =   700 denomin. =        0.2031403E+00

  global error =        0.7974279E-03 iter. number =   800 denomin. =        0.2024494E+00

  global error =        0.7186728E-03 iter. number =   900 denomin. =        0.2029291E+00

  global error =        0.6482129E-03 iter. number =  1000 denomin. =        0.2024542E+00

  global error =        0.5848209E-03 iter. number =  1100 denomin. =        0.2026951E+00

  global error =        0.5365466E-03 iter. number =  1200 denomin. =        0.2025719E+00

  global error =        0.4951603E-03 iter. number =  1300 denomin. =        0.2025202E+00

  global error =        0.4543800E-03 iter. number =  1400 denomin. =        0.2026104E+00

  global error =        0.4159787E-03 iter. number =  1500 denomin. =        0.2023905E+00

  global error =        0.3837369E-03 iter. number =  1600 denomin. =        0.2025823E+00

  global error =        0.3546164E-03 iter. number =  1700 denomin. =        0.2024212E+00

  global error =        0.3303451E-03 iter. number =  1800 denomin. =        0.2025562E+00

  global error =        0.3047705E-03 iter. number =  1900 denomin. =        0.2024954E+00

  global error =        0.2796779E-03 iter. number =  2000 denomin. =        0.2025051E+00

  global error =        0.2582243E-03 iter. number =  2100 denomin. =        0.2025275E+00

  global error =        0.2406023E-03 iter. number =  2200 denomin. =        0.2024594E+00

  global error =        0.2260246E-03 iter. number =  2300 denomin. =        0.2025223E+00

  global error =        0.2112766E-03 iter. number =  2400 denomin. =        0.2024840E+00

  global error =        0.1973493E-03 iter. number =  2500 denomin. =        0.2024849E+00

  global error =        0.1856779E-03 iter. number =  2600 denomin. =        0.2025183E+00

  global error =        0.1747138E-03 iter. number =  2700 denomin. =        0.2024756E+00

  global error =        0.1632145E-03 iter. number =  2800 denomin. =        0.2025353E+00

  global error =        0.1528525E-03 iter. number =  2900 denomin. =        0.2024776E+00

  global error =        0.1424012E-03 iter. number =  3000 denomin. =        0.2025106E+00

  global error =        0.1322568E-03 iter. number =  3100 denomin. =        0.2025158E+00

  global error =        0.1235262E-03 iter. number =  3200 denomin. =        0.2024837E+00

  global error =        0.1149546E-03 iter. number =  3300 denomin. =        0.2025339E+00

  global error =        0.1071937E-03 iter. number =  3400 denomin. =        0.2024825E+00

  global error =        0.1008208E-03 iter. number =  3500 denomin. =        0.2025272E+00

  convergence  for freq. #   124 achieved in  3514 inner iterations 
 relative error value =       0.99960663E-04


  frequency number   123 frequency :       0.15925000E+01
 jw  real sour, imag sour =    123     -0.17227E+00     -0.11107E+00

  global error =        0.2054470E-02 iter. number =   100 denomin. =        0.2205111E+00

  global error =        0.1078729E-02 iter. number =   200 denomin. =        0.2229758E+00

  global error =        0.9171380E-03 iter. number =   300 denomin. =        0.2236070E+00

  global error =        0.8074792E-03 iter. number =   400 denomin. =        0.2232169E+00

  global error =        0.6908739E-03 iter. number =   500 denomin. =        0.2232007E+00

  global error =        0.6002037E-03 iter. number =   600 denomin. =        0.2232874E+00

  global error =        0.5380244E-03 iter. number =   700 denomin. =        0.2234693E+00

  global error =        0.4803384E-03 iter. number =   800 denomin. =        0.2232095E+00

  global error =        0.4252625E-03 iter. number =   900 denomin. =        0.2233934E+00

  global error =        0.3695854E-03 iter. number =  1000 denomin. =        0.2233592E+00

  global error =        0.3257026E-03 iter. number =  1100 denomin. =        0.2232880E+00

  global error =        0.2893348E-03 iter. number =  1200 denomin. =        0.2234380E+00

  global error =        0.2632368E-03 iter. number =  1300 denomin. =        0.2234025E+00

  global error =        0.2460775E-03 iter. number =  1400 denomin. =        0.2234423E+00

  global error =        0.2285332E-03 iter. number =  1500 denomin. =        0.2233818E+00

  global error =        0.2128569E-03 iter. number =  1600 denomin. =        0.2234721E+00

  global error =        0.1958225E-03 iter. number =  1700 denomin. =        0.2234099E+00

  global error =        0.1797095E-03 iter. number =  1800 denomin. =        0.2234874E+00

  global error =        0.1666038E-03 iter. number =  1900 denomin. =        0.2234634E+00

  global error =        0.1531373E-03 iter. number =  2000 denomin. =        0.2234573E+00

  global error =        0.1393343E-03 iter. number =  2100 denomin. =        0.2234871E+00

  global error =        0.1272160E-03 iter. number =  2200 denomin. =        0.2234920E+00

  global error =        0.1176543E-03 iter. number =  2300 denomin. =        0.2235098E+00

  global error =        0.1063442E-03 iter. number =  2400 denomin. =        0.2234887E+00

  convergence  for freq. #   123 achieved in  2453 inner iterations 
 relative error value =       0.99971955E-04


  frequency number   122 frequency :       0.15795000E+01
 jw  real sour, imag sour =    122     -0.16667E+00     -0.12876E+00

  global error =        0.1957198E-02 iter. number =   100 denomin. =        0.2471143E+00

  global error =        0.9685773E-03 iter. number =   200 denomin. =        0.2489224E+00

  global error =        0.8664667E-03 iter. number =   300 denomin. =        0.2490664E+00

  global error =        0.7732158E-03 iter. number =   400 denomin. =        0.2491045E+00

  global error =        0.6890078E-03 iter. number =   500 denomin. =        0.2490653E+00

  global error =        0.6245129E-03 iter. number =   600 denomin. =        0.2490005E+00

  global error =        0.5697301E-03 iter. number =   700 denomin. =        0.2488785E+00

  global error =        0.5171772E-03 iter. number =   800 denomin. =        0.2488492E+00

  global error =        0.4695380E-03 iter. number =   900 denomin. =        0.2489396E+00

  global error =        0.4164278E-03 iter. number =  1000 denomin. =        0.2489321E+00

  global error =        0.3769695E-03 iter. number =  1100 denomin. =        0.2488492E+00

  global error =        0.3486753E-03 iter. number =  1200 denomin. =        0.2488547E+00

  global error =        0.3234542E-03 iter. number =  1300 denomin. =        0.2488557E+00

  global error =        0.3031998E-03 iter. number =  1400 denomin. =        0.2487922E+00

  global error =        0.2827482E-03 iter. number =  1500 denomin. =        0.2487609E+00

  global error =        0.2620320E-03 iter. number =  1600 denomin. =        0.2487880E+00

  global error =        0.2433654E-03 iter. number =  1700 denomin. =        0.2487817E+00

  global error =        0.2236767E-03 iter. number =  1800 denomin. =        0.2487429E+00

  global error =        0.2028028E-03 iter. number =  1900 denomin. =        0.2487136E+00

  global error =        0.1854960E-03 iter. number =  2000 denomin. =        0.2486981E+00

  global error =        0.1711301E-03 iter. number =  2100 denomin. =        0.2486938E+00

  global error =        0.1563876E-03 iter. number =  2200 denomin. =        0.2486722E+00

  global error =        0.1443044E-03 iter. number =  2300 denomin. =        0.2486471E+00

  global error =        0.1355955E-03 iter. number =  2400 denomin. =        0.2486503E+00

  global error =        0.1283146E-03 iter. number =  2500 denomin. =        0.2486604E+00

  global error =        0.1213608E-03 iter. number =  2600 denomin. =        0.2486473E+00

  global error =        0.1129842E-03 iter. number =  2700 denomin. =        0.2486256E+00

  global error =        0.1028025E-03 iter. number =  2800 denomin. =        0.2486207E+00

  convergence  for freq. #   122 achieved in  2828 inner iterations 
 relative error value =       0.99961716E-04


  frequency number   121 frequency :       0.15665000E+01
 jw  real sour, imag sour =    121     -0.15933E+00     -0.14632E+00

  global error =        0.1797754E-02 iter. number =   100 denomin. =        0.2612443E+00

  global error =        0.6277067E-03 iter. number =   200 denomin. =        0.2554917E+00

  global error =        0.5075245E-03 iter. number =   300 denomin. =        0.2550862E+00

  global error =        0.4233845E-03 iter. number =   400 denomin. =        0.2551290E+00

  global error =        0.3502212E-03 iter. number =   500 denomin. =        0.2550990E+00

  global error =        0.2900739E-03 iter. number =   600 denomin. =        0.2550624E+00

  global error =        0.2333868E-03 iter. number =   700 denomin. =        0.2550484E+00

  global error =        0.1930289E-03 iter. number =   800 denomin. =        0.2550407E+00

  global error =        0.1652208E-03 iter. number =   900 denomin. =        0.2550666E+00

  global error =        0.1404740E-03 iter. number =  1000 denomin. =        0.2550857E+00

  global error =        0.1199924E-03 iter. number =  1100 denomin. =        0.2550788E+00

  global error =        0.1032955E-03 iter. number =  1200 denomin. =        0.2550576E+00

  convergence  for freq. #   121 achieved in  1223 inner iterations 
 relative error value =       0.99921498E-04


  frequency number   120 frequency :       0.15535000E+01
 jw  real sour, imag sour =    120     -0.15024E+00     -0.16360E+00

  global error =        0.1695995E-02 iter. number =   100 denomin. =        0.2589999E+00

  global error =        0.5068004E-03 iter. number =   200 denomin. =        0.2538321E+00

  global error =        0.3847756E-03 iter. number =   300 denomin. =        0.2538291E+00

  global error =        0.3054707E-03 iter. number =   400 denomin. =        0.2537856E+00

  global error =        0.2407900E-03 iter. number =   500 denomin. =        0.2538282E+00

  global error =        0.1942093E-03 iter. number =   600 denomin. =        0.2538173E+00

  global error =        0.1561180E-03 iter. number =   700 denomin. =        0.2537980E+00

  global error =        0.1250670E-03 iter. number =   800 denomin. =        0.2537941E+00

  convergence  for freq. #   120 achieved in   897 inner iterations 
 relative error value =       0.99789253E-04


  frequency number   119 frequency :       0.15405000E+01
 jw  real sour, imag sour =    119     -0.13938E+00     -0.18041E+00

  global error =        0.1557459E-02 iter. number =   100 denomin. =        0.2683523E+00

  global error =        0.4031923E-03 iter. number =   200 denomin. =        0.2710567E+00

  global error =        0.3056464E-03 iter. number =   300 denomin. =        0.2709964E+00

  global error =        0.2420356E-03 iter. number =   400 denomin. =        0.2709814E+00

  global error =        0.1940906E-03 iter. number =   500 denomin. =        0.2709453E+00

  global error =        0.1625208E-03 iter. number =   600 denomin. =        0.2709770E+00

  global error =        0.1384708E-03 iter. number =   700 denomin. =        0.2709647E+00

  global error =        0.1221461E-03 iter. number =   800 denomin. =        0.2709502E+00

  global error =        0.1099798E-03 iter. number =   900 denomin. =        0.2709483E+00

  convergence  for freq. #   119 achieved in   976 inner iterations 
 relative error value =       0.99995522E-04


  frequency number   118 frequency :       0.15275000E+01
 jw  real sour, imag sour =    118     -0.12676E+00     -0.19659E+00

  global error =        0.1497921E-02 iter. number =   100 denomin. =        0.2991265E+00

  global error =        0.3421783E-03 iter. number =   200 denomin. =        0.3049487E+00

  global error =        0.2479185E-03 iter. number =   300 denomin. =        0.3052811E+00

  global error =        0.1955080E-03 iter. number =   400 denomin. =        0.3053035E+00

  global error =        0.1568683E-03 iter. number =   500 denomin. =        0.3053313E+00

  global error =        0.1269577E-03 iter. number =   600 denomin. =        0.3053220E+00

  global error =        0.1067736E-03 iter. number =   700 denomin. =        0.3053330E+00

  convergence  for freq. #   118 achieved in   738 inner iterations 
 relative error value =       0.99898916E-04


  frequency number   117 frequency :       0.15145000E+01
 jw  real sour, imag sour =    117     -0.11240E+00     -0.21195E+00

  global error =        0.1539354E-02 iter. number =   100 denomin. =        0.3272351E+00

  global error =        0.3364935E-03 iter. number =   200 denomin. =        0.3249220E+00

  global error =        0.2326132E-03 iter. number =   300 denomin. =        0.3245819E+00

  global error =        0.1678500E-03 iter. number =   400 denomin. =        0.3245649E+00

  global error =        0.1262064E-03 iter. number =   500 denomin. =        0.3245548E+00

  convergence  for freq. #   117 achieved in   584 inner iterations 
 relative error value =       0.99898976E-04


  frequency number   116 frequency :       0.15015000E+01
 jw  real sour, imag sour =    116     -0.96359E-01     -0.22632E+00

  global error =        0.1547612E-02 iter. number =   100 denomin. =        0.3277125E+00

  global error =        0.3264554E-03 iter. number =   200 denomin. =        0.3192695E+00

  global error =        0.2296737E-03 iter. number =   300 denomin. =        0.3191300E+00

  global error =        0.1630004E-03 iter. number =   400 denomin. =        0.3191441E+00

  global error =        0.1206656E-03 iter. number =   500 denomin. =        0.3191466E+00

  convergence  for freq. #   116 achieved in   568 inner iterations 
 relative error value =       0.99955975E-04


  frequency number   115 frequency :       0.14885000E+01
 jw  real sour, imag sour =    115     -0.78690E-01     -0.23951E+00

  global error =        0.1471470E-02 iter. number =   100 denomin. =        0.3243772E+00

  global error =        0.2994434E-03 iter. number =   200 denomin. =        0.3235435E+00

  global error =        0.2030739E-03 iter. number =   300 denomin. =        0.3236199E+00

  global error =        0.1462781E-03 iter. number =   400 denomin. =        0.3236083E+00

  global error =        0.1126277E-03 iter. number =   500 denomin. =        0.3236102E+00

  convergence  for freq. #   115 achieved in   556 inner iterations 
 relative error value =       0.99814114E-04


  frequency number   114 frequency :       0.14755000E+01
 jw  real sour, imag sour =    114     -0.59475E-01     -0.25135E+00

  global error =        0.1402439E-02 iter. number =   100 denomin. =        0.3493286E+00

  global error =        0.2834310E-03 iter. number =   200 denomin. =        0.3569277E+00

  global error =        0.1915498E-03 iter. number =   300 denomin. =        0.3571841E+00

  global error =        0.1373899E-03 iter. number =   400 denomin. =        0.3571841E+00

  global error =        0.1037289E-03 iter. number =   500 denomin. =        0.3571816E+00

  convergence  for freq. #   114 achieved in   513 inner iterations 
 relative error value =       0.99812299E-04


  frequency number   113 frequency :       0.14625000E+01
 jw  real sour, imag sour =    113     -0.38815E-01     -0.26167E+00

  global error =        0.1438920E-02 iter. number =   100 denomin. =        0.3894022E+00

  global error =        0.2679859E-03 iter. number =   200 denomin. =        0.3931329E+00

  global error =        0.1935392E-03 iter. number =   300 denomin. =        0.3932899E+00

  global error =        0.1404945E-03 iter. number =   400 denomin. =        0.3932929E+00

  global error =        0.1030819E-03 iter. number =   500 denomin. =        0.3932921E+00

  convergence  for freq. #   113 achieved in   511 inner iterations 
 relative error value =       0.99886756E-04


  frequency number   112 frequency :       0.14495000E+01
 jw  real sour, imag sour =    112     -0.16829E-01     -0.27030E+00

  global error =        0.1503687E-02 iter. number =   100 denomin. =        0.4031311E+00

  global error =        0.2794650E-03 iter. number =   200 denomin. =        0.3937369E+00

  global error =        0.1957205E-03 iter. number =   300 denomin. =        0.3931481E+00

  global error =        0.1389046E-03 iter. number =   400 denomin. =        0.3931440E+00

  global error =        0.1014535E-03 iter. number =   500 denomin. =        0.3931434E+00

  convergence  for freq. #   112 achieved in   505 inner iterations 
 relative error value =       0.99819070E-04


  frequency number   111 frequency :       0.14365000E+01
 jw  real sour, imag sour =    111      0.63484E-02     -0.27709E+00

  global error =        0.1483648E-02 iter. number =   100 denomin. =        0.3881106E+00

  global error =        0.2948226E-03 iter. number =   200 denomin. =        0.3813367E+00

  global error =        0.1967199E-03 iter. number =   300 denomin. =        0.3815445E+00

  global error =        0.1343387E-03 iter. number =   400 denomin. =        0.3815458E+00

  convergence  for freq. #   111 achieved in   495 inner iterations 
 relative error value =       0.99816455E-04


  frequency number   110 frequency :       0.14235000E+01
 jw  real sour, imag sour =    110      0.30561E-01     -0.28189E+00

  global error =        0.1389087E-02 iter. number =   100 denomin. =        0.3953032E+00

  global error =        0.2589234E-03 iter. number =   200 denomin. =        0.4012945E+00

  global error =        0.1813574E-03 iter. number =   300 denomin. =        0.4012665E+00

  global error =        0.1304949E-03 iter. number =   400 denomin. =        0.4012562E+00

  convergence  for freq. #   110 achieved in   480 inner iterations 
 relative error value =       0.99754290E-04


  frequency number   109 frequency :       0.14105000E+01
 jw  real sour, imag sour =    109      0.55638E-01     -0.28458E+00

  global error =        0.1393372E-02 iter. number =   100 denomin. =        0.4369109E+00

  global error =        0.2660639E-03 iter. number =   200 denomin. =        0.4466526E+00

  global error =        0.1910557E-03 iter. number =   300 denomin. =        0.4472816E+00

  global error =        0.1399953E-03 iter. number =   400 denomin. =        0.4473190E+00

  global error =        0.1023042E-03 iter. number =   500 denomin. =        0.4473197E+00

  convergence  for freq. #   109 achieved in   510 inner iterations 
 relative error value =       0.99852046E-04


  frequency number   108 frequency :       0.13975000E+01
 jw  real sour, imag sour =    108      0.81393E-01     -0.28503E+00

  global error =        0.1478669E-02 iter. number =   100 denomin. =        0.4701989E+00

  global error =        0.2731537E-03 iter. number =   200 denomin. =        0.4651823E+00

  global error =        0.1888249E-03 iter. number =   300 denomin. =        0.4644873E+00

  global error =        0.1345415E-03 iter. number =   400 denomin. =        0.4644451E+00

  global error =        0.9982458E-04 iter. number =   500 denomin. =        0.4644434E+00

  convergence  for freq. #   108 achieved in   500 inner iterations 
 relative error value =       0.99824585E-04


  frequency number   107 frequency :       0.13845000E+01
 jw  real sour, imag sour =    107      0.10762E+00     -0.28314E+00

  global error =        0.1513654E-02 iter. number =   100 denomin. =        0.4556760E+00

  global error =        0.2687794E-03 iter. number =   200 denomin. =        0.4425946E+00

  global error =        0.1833553E-03 iter. number =   300 denomin. =        0.4425869E+00

  global error =        0.1308056E-03 iter. number =   400 denomin. =        0.4426233E+00

  convergence  for freq. #   107 achieved in   476 inner iterations 
 relative error value =       0.99747957E-04


  frequency number   106 frequency :       0.13715000E+01
 jw  real sour, imag sour =    106      0.13412E+00     -0.27883E+00

  global error =        0.1427937E-02 iter. number =   100 denomin. =        0.4384812E+00

  global error =        0.2481002E-03 iter. number =   200 denomin. =        0.4391861E+00

  global error =        0.1671876E-03 iter. number =   300 denomin. =        0.4392032E+00

  global error =        0.1166142E-03 iter. number =   400 denomin. =        0.4391925E+00

  convergence  for freq. #   106 achieved in   443 inner iterations 
 relative error value =       0.99843692E-04


  frequency number   105 frequency :       0.13585000E+01
 jw  real sour, imag sour =    105      0.16065E+00     -0.27205E+00

  global error =        0.1362943E-02 iter. number =   100 denomin. =        0.4663963E+00

  global error =        0.2038265E-03 iter. number =   200 denomin. =        0.4787474E+00

  global error =        0.1228978E-03 iter. number =   300 denomin. =        0.4792542E+00

  convergence  for freq. #   105 achieved in   354 inner iterations 
 relative error value =       0.99732298E-04


  frequency number   104 frequency :       0.13455000E+01
 jw  real sour, imag sour =    104      0.18698E+00     -0.26274E+00

  global error =        0.1425690E-02 iter. number =   100 denomin. =        0.5132632E+00

  global error =        0.1526771E-03 iter. number =   200 denomin. =        0.5167471E+00

  convergence  for freq. #   104 achieved in   262 inner iterations 
 relative error value =       0.99685116E-04


  frequency number   103 frequency :       0.13325000E+01
 jw  real sour, imag sour =    103      0.21287E+00     -0.25090E+00

  global error =        0.1513641E-02 iter. number =   100 denomin. =        0.5146771E+00

  global error =        0.1513828E-03 iter. number =   200 denomin. =        0.4990738E+00

  convergence  for freq. #   103 achieved in   262 inner iterations 
 relative error value =       0.99610172E-04


  frequency number   102 frequency :       0.13195000E+01
 jw  real sour, imag sour =    102      0.23808E+00     -0.23652E+00

  global error =        0.1472050E-02 iter. number =   100 denomin. =        0.4781976E+00

  global error =        0.1525720E-03 iter. number =   200 denomin. =        0.4711025E+00

  convergence  for freq. #   102 achieved in   263 inner iterations 
 relative error value =       0.99918482E-04


  frequency number   101 frequency :       0.13065000E+01
 jw  real sour, imag sour =    101      0.26234E+00     -0.21964E+00

  global error =        0.1374093E-02 iter. number =   100 denomin. =        0.4801731E+00

  global error =        0.1464080E-03 iter. number =   200 denomin. =        0.4907092E+00

  convergence  for freq. #   101 achieved in   257 inner iterations 
 relative error value =       0.99882506E-04


  frequency number   100 frequency :       0.12935000E+01
 jw  real sour, imag sour =    100      0.28542E+00     -0.20032E+00

  global error =        0.1406291E-02 iter. number =   100 denomin. =        0.5257219E+00

  global error =        0.1442639E-03 iter. number =   200 denomin. =        0.5369042E+00

  convergence  for freq. #   100 achieved in   253 inner iterations 
 relative error value =       0.99876236E-04


  frequency number    99 frequency :       0.12805000E+01
 jw  real sour, imag sour =     99      0.30706E+00     -0.17862E+00

  global error =        0.1532657E-02 iter. number =   100 denomin. =        0.5489240E+00

  global error =        0.1520628E-03 iter. number =   200 denomin. =        0.5368866E+00

  convergence  for freq. #    99 achieved in   258 inner iterations 
 relative error value =       0.99977987E-04


  frequency number    98 frequency :       0.12675000E+01
 jw  real sour, imag sour =     98      0.32702E+00     -0.15467E+00

  global error =        0.1555940E-02 iter. number =   100 denomin. =        0.5088299E+00

  global error =        0.1540142E-03 iter. number =   200 denomin. =        0.4937321E+00

  convergence  for freq. #    98 achieved in   249 inner iterations 
 relative error value =       0.99844697E-04


  frequency number    97 frequency :       0.12545000E+01
 jw  real sour, imag sour =     97      0.34506E+00     -0.12858E+00

  global error =        0.1442978E-02 iter. number =   100 denomin. =        0.4817773E+00

  global error =        0.1543076E-03 iter. number =   200 denomin. =        0.4873572E+00

  convergence  for freq. #    97 achieved in   252 inner iterations 
 relative error value =       0.99758149E-04


  frequency number    96 frequency :       0.12415000E+01
 jw  real sour, imag sour =     96      0.36096E+00     -0.10053E+00

  global error =        0.1409428E-02 iter. number =   100 denomin. =        0.5111411E+00

  global error =        0.1568377E-03 iter. number =   200 denomin. =        0.5262370E+00

  convergence  for freq. #    96 achieved in   262 inner iterations 
 relative error value =       0.99856108E-04


  frequency number    95 frequency :       0.12285000E+01
 jw  real sour, imag sour =     95      0.37450E+00     -0.70679E-01

  global error =        0.1530411E-02 iter. number =   100 denomin. =        0.5484603E+00

  global error =        0.1585571E-03 iter. number =   200 denomin. =        0.5445978E+00

  convergence  for freq. #    95 achieved in   261 inner iterations 
 relative error value =       0.99712852E-04


  frequency number    94 frequency :       0.12155000E+01
 jw  real sour, imag sour =     94      0.38549E+00     -0.39242E-01

  global error =        0.1611014E-02 iter. number =   100 denomin. =        0.5212298E+00

  global error =        0.1670086E-03 iter. number =   200 denomin. =        0.5014925E+00

  convergence  for freq. #    94 achieved in   272 inner iterations 
 relative error value =       0.99766924E-04


  frequency number    93 frequency :       0.12025000E+01
 jw  real sour, imag sour =     93      0.39375E+00     -0.64435E-02

  global error =        0.1514017E-02 iter. number =   100 denomin. =        0.4744556E+00

  global error =        0.1642339E-03 iter. number =   200 denomin. =        0.4736980E+00

  convergence  for freq. #    93 achieved in   257 inner iterations 
 relative error value =       0.99972801E-04


  frequency number    92 frequency :       0.11895000E+01
 jw  real sour, imag sour =     92      0.39912E+00      0.27472E-01

  global error =        0.1463064E-02 iter. number =   100 denomin. =        0.4825850E+00

  global error =        0.1896565E-03 iter. number =   200 denomin. =        0.4974360E+00

  convergence  for freq. #    92 achieved in   281 inner iterations 
 relative error value =       0.99996454E-04


  frequency number    91 frequency :       0.11765000E+01
 jw  real sour, imag sour =     91      0.40146E+00      0.62239E-01

  global error =        0.1679250E-02 iter. number =   100 denomin. =        0.5229638E+00

  global error =        0.3903725E-03 iter. number =   200 denomin. =        0.5264728E+00

  global error =        0.2373392E-03 iter. number =   300 denomin. =        0.5262228E+00

  global error =        0.1361882E-03 iter. number =   400 denomin. =        0.5262022E+00

  convergence  for freq. #    91 achieved in   464 inner iterations 
 relative error value =       0.99842518E-04


  frequency number    90 frequency :       0.11635000E+01
 jw  real sour, imag sour =     90      0.40067E+00      0.97579E-01

  global error =        0.2423714E-02 iter. number =   100 denomin. =        0.5175611E+00

  global error =        0.1412693E-02 iter. number =   200 denomin. =        0.4995325E+00

  global error =        0.1191826E-02 iter. number =   300 denomin. =        0.4968848E+00

  global error =        0.8574276E-03 iter. number =   400 denomin. =        0.4966269E+00

  global error =        0.7637799E-03 iter. number =   500 denomin. =        0.4981492E+00

  global error =        0.6143827E-03 iter. number =   600 denomin. =        0.4976301E+00

  global error =        0.5163332E-03 iter. number =   700 denomin. =        0.4970727E+00

  global error =        0.4598395E-03 iter. number =   800 denomin. =        0.4978258E+00

  global error =        0.3862674E-03 iter. number =   900 denomin. =        0.4975028E+00

  global error =        0.3435776E-03 iter. number =  1000 denomin. =        0.4970720E+00

  global error =        0.3004008E-03 iter. number =  1100 denomin. =        0.4976270E+00

  global error =        0.2544954E-03 iter. number =  1200 denomin. =        0.4974735E+00

  global error =        0.2300435E-03 iter. number =  1300 denomin. =        0.4970194E+00

  global error =        0.1990281E-03 iter. number =  1400 denomin. =        0.4974080E+00

  global error =        0.1696375E-03 iter. number =  1500 denomin. =        0.4974887E+00

  global error =        0.1518706E-03 iter. number =  1600 denomin. =        0.4971068E+00

  global error =        0.1312109E-03 iter. number =  1700 denomin. =        0.4972694E+00

  global error =        0.1134932E-03 iter. number =  1800 denomin. =        0.4974375E+00

  global error =        0.1009617E-03 iter. number =  1900 denomin. =        0.4972121E+00

  convergence  for freq. #    90 achieved in  1908 inner iterations 
 relative error value =       0.99918409E-04


  frequency number    89 frequency :       0.11505000E+01
 jw  real sour, imag sour =     89      0.39665E+00      0.13320E+00

  global error =        0.3670602E-02 iter. number =   100 denomin. =        0.5178011E+00

  global error =        0.2871573E-02 iter. number =   200 denomin. =        0.5967973E+00

  global error =        0.2271959E-02 iter. number =   300 denomin. =        0.7504858E+00

  global error =        0.1931208E-02 iter. number =   400 denomin. =        0.9556948E+00

  global error =        0.1602390E-02 iter. number =   500 denomin. =        0.1197889E+01

  global error =        0.1397410E-02 iter. number =   600 denomin. =        0.1470636E+01

  global error =        0.1242761E-02 iter. number =   700 denomin. =        0.1761018E+01

  global error =        0.1087667E-02 iter. number =   800 denomin. =        0.2062193E+01

  global error =        0.1001428E-02 iter. number =   900 denomin. =        0.2365902E+01

  global error =        0.8892293E-03 iter. number =  1000 denomin. =        0.2665290E+01

  global error =        0.8267177E-03 iter. number =  1100 denomin. =        0.2954149E+01

  global error =        0.7573023E-03 iter. number =  1200 denomin. =        0.3229496E+01

  global error =        0.6945577E-03 iter. number =  1300 denomin. =        0.3483341E+01

  global error =        0.6543613E-03 iter. number =  1400 denomin. =        0.3716589E+01

  global error =        0.6024995E-03 iter. number =  1500 denomin. =        0.3924279E+01

  global error =        0.5726463E-03 iter. number =  1600 denomin. =        0.4103560E+01

  global error =        0.5392582E-03 iter. number =  1700 denomin. =        0.4257670E+01

  global error =        0.5123502E-03 iter. number =  1800 denomin. =        0.4380165E+01

  global error =        0.4923167E-03 iter. number =  1900 denomin. =        0.4475632E+01

  global error =        0.4703314E-03 iter. number =  2000 denomin. =        0.4542637E+01

  global error =        0.4567903E-03 iter. number =  2100 denomin. =        0.4579867E+01

  global error =        0.4388692E-03 iter. number =  2200 denomin. =        0.4592019E+01

  global error =        0.4270582E-03 iter. number =  2300 denomin. =        0.4575661E+01

  global error =        0.4141309E-03 iter. number =  2400 denomin. =        0.4534717E+01

  global error =        0.4006506E-03 iter. number =  2500 denomin. =        0.4469897E+01

  global error =        0.3922615E-03 iter. number =  2600 denomin. =        0.4381438E+01

  global error =        0.3795189E-03 iter. number =  2700 denomin. =        0.4273782E+01

  global error =        0.3720403E-03 iter. number =  2800 denomin. =        0.4146931E+01

  global error =        0.3642485E-03 iter. number =  2900 denomin. =        0.4005133E+01

  global error =        0.3568081E-03 iter. number =  3000 denomin. =        0.3851304E+01

  global error =        0.3532280E-03 iter. number =  3100 denomin. =        0.3688058E+01

  global error =        0.3481398E-03 iter. number =  3200 denomin. =        0.3520294E+01

  global error =        0.3460731E-03 iter. number =  3300 denomin. =        0.3350400E+01

  global error =        0.3435205E-03 iter. number =  3400 denomin. =        0.3182586E+01

  global error =        0.3414599E-03 iter. number =  3500 denomin. =        0.3020071E+01

  global error =        0.3396533E-03 iter. number =  3600 denomin. =        0.2865303E+01

  global error =        0.3364101E-03 iter. number =  3700 denomin. =        0.2721418E+01

  global error =        0.3337355E-03 iter. number =  3800 denomin. =        0.2589790E+01

  global error =        0.3288455E-03 iter. number =  3900 denomin. =        0.2472131E+01

  global error =        0.3239428E-03 iter. number =  4000 denomin. =        0.2369415E+01

  NO convergence  for freq. #    89 after   4001 inner iterations 
 relative error value reduction =       0.32394283E-03


  frequency number    88 frequency :       0.11375000E+01
 jw  real sour, imag sour =     88      0.38935E+00      0.16879E+00

  global error =        0.3579547E-01 iter. number =   100 denomin. =        0.2045445E+01

  global error =        0.3223554E-01 iter. number =   200 denomin. =        0.1807412E+01

  global error =        0.3020424E-01 iter. number =   300 denomin. =        0.1615097E+01

  global error =        0.2667836E-01 iter. number =   400 denomin. =        0.1484992E+01

  global error =        0.2321869E-01 iter. number =   500 denomin. =        0.1578988E+01

  global error =        0.2005198E-01 iter. number =   600 denomin. =        0.1456542E+01

  global error =        0.1764398E-01 iter. number =   700 denomin. =        0.1550684E+01

  global error =        0.1454469E-01 iter. number =   800 denomin. =        0.1529930E+01

  global error =        0.1258930E-01 iter. number =   900 denomin. =        0.1613284E+01

  global error =        0.1070641E-01 iter. number =  1000 denomin. =        0.1590008E+01

  global error =        0.9121037E-02 iter. number =  1100 denomin. =        0.1561237E+01

  global error =        0.7902544E-02 iter. number =  1200 denomin. =        0.1649411E+01

  global error =        0.6535197E-02 iter. number =  1300 denomin. =        0.1637820E+01

  global error =        0.5975962E-02 iter. number =  1400 denomin. =        0.1576369E+01

  global error =        0.5034037E-02 iter. number =  1500 denomin. =        0.1590478E+01

  global error =        0.4496647E-02 iter. number =  1600 denomin. =        0.1607083E+01

  global error =        0.3810648E-02 iter. number =  1700 denomin. =        0.1561786E+01

  global error =        0.3535589E-02 iter. number =  1800 denomin. =        0.1529164E+01

  global error =        0.2873283E-02 iter. number =  1900 denomin. =        0.1515669E+01

  global error =        0.2695661E-02 iter. number =  2000 denomin. =        0.1512304E+01

  global error =        0.2175791E-02 iter. number =  2100 denomin. =        0.1479321E+01

  global error =        0.1982687E-02 iter. number =  2200 denomin. =        0.1444166E+01

  global error =        0.1696754E-02 iter. number =  2300 denomin. =        0.1441887E+01

  global error =        0.1420885E-02 iter. number =  2400 denomin. =        0.1435913E+01

  global error =        0.1301111E-02 iter. number =  2500 denomin. =        0.1405998E+01

  global error =        0.1077107E-02 iter. number =  2600 denomin. =        0.1392229E+01

  global error =        0.9771024E-03 iter. number =  2700 denomin. =        0.1395496E+01

  global error =        0.8331218E-03 iter. number =  2800 denomin. =        0.1386309E+01

  global error =        0.7587304E-03 iter. number =  2900 denomin. =        0.1372671E+01

  global error =        0.6260128E-03 iter. number =  3000 denomin. =        0.1369935E+01

  global error =        0.5934009E-03 iter. number =  3100 denomin. =        0.1372959E+01

  global error =        0.4662653E-03 iter. number =  3200 denomin. =        0.1369618E+01

  global error =        0.4533970E-03 iter. number =  3300 denomin. =        0.1363425E+01

  global error =        0.3565869E-03 iter. number =  3400 denomin. =        0.1365478E+01

  global error =        0.3242163E-03 iter. number =  3500 denomin. =        0.1370209E+01

  global error =        0.2837642E-03 iter. number =  3600 denomin. =        0.1367554E+01

  global error =        0.2362379E-03 iter. number =  3700 denomin. =        0.1365954E+01

  global error =        0.2163122E-03 iter. number =  3800 denomin. =        0.1370612E+01

  global error =        0.1812841E-03 iter. number =  3900 denomin. =        0.1372812E+01

  global error =        0.1653604E-03 iter. number =  4000 denomin. =        0.1371292E+01

  NO convergence  for freq. #    88 after   4001 inner iterations 
 relative error value reduction =       0.16536036E-03


  frequency number    87 frequency :       0.11245000E+01
 jw  real sour, imag sour =     87      0.37875E+00      0.20404E+00

  global error =        0.2529548E-01 iter. number =   100 denomin. =        0.1448537E+01

  global error =        0.1780252E-01 iter. number =   200 denomin. =        0.1303249E+01

  global error =        0.1578003E-01 iter. number =   300 denomin. =        0.1401039E+01

  global error =        0.1501265E-01 iter. number =   400 denomin. =        0.8767947E+00

  global error =        0.1222933E-01 iter. number =   500 denomin. =        0.8234920E+00

  global error =        0.8475159E-02 iter. number =   600 denomin. =        0.9938402E+00

  global error =        0.7204092E-02 iter. number =   700 denomin. =        0.8086399E+00

  global error =        0.7388661E-02 iter. number =   800 denomin. =        0.6650104E+00

  global error =        0.4466392E-02 iter. number =   900 denomin. =        0.7136912E+00

  global error =        0.3987413E-02 iter. number =  1000 denomin. =        0.8013536E+00

  global error =        0.3109970E-02 iter. number =  1100 denomin. =        0.7895944E+00

  global error =        0.2394905E-02 iter. number =  1200 denomin. =        0.7299746E+00

  global error =        0.2169801E-02 iter. number =  1300 denomin. =        0.7225296E+00

  global error =        0.1438412E-02 iter. number =  1400 denomin. =        0.7512087E+00

  global error =        0.1427989E-02 iter. number =  1500 denomin. =        0.7392040E+00

  global error =        0.9989820E-03 iter. number =  1600 denomin. =        0.7085931E+00

  global error =        0.8484358E-03 iter. number =  1700 denomin. =        0.7229309E+00

  global error =        0.7050322E-03 iter. number =  1800 denomin. =        0.7483029E+00

  global error =        0.4914065E-03 iter. number =  1900 denomin. =        0.7398158E+00

  global error =        0.5052659E-03 iter. number =  2000 denomin. =        0.7244021E+00

  global error =        0.3284321E-03 iter. number =  2100 denomin. =        0.7278505E+00

  global error =        0.3010345E-03 iter. number =  2200 denomin. =        0.7342974E+00

  global error =        0.2471333E-03 iter. number =  2300 denomin. =        0.7309600E+00

  global error =        0.1829837E-03 iter. number =  2400 denomin. =        0.7269570E+00

  global error =        0.1720590E-03 iter. number =  2500 denomin. =        0.7300788E+00

  global error =        0.1205126E-03 iter. number =  2600 denomin. =        0.7342346E+00

  global error =        0.1118263E-03 iter. number =  2700 denomin. =        0.7323449E+00

  convergence  for freq. #    87 achieved in  2761 inner iterations 
 relative error value =       0.99955579E-04


  frequency number    86 frequency :       0.11115000E+01
 jw  real sour, imag sour =     86      0.36486E+00      0.23864E+00

  global error =        0.1557854E-01 iter. number =   100 denomin. =        0.8439523E+00

  global error =        0.1108998E-01 iter. number =   200 denomin. =        0.9607433E+00

  global error =        0.7362650E-02 iter. number =   300 denomin. =        0.1208426E+01

  global error =        0.5006366E-02 iter. number =   400 denomin. =        0.1501378E+01

  global error =        0.3449900E-02 iter. number =   500 denomin. =        0.1854291E+01

  global error =        0.2367409E-02 iter. number =   600 denomin. =        0.1989864E+01

  global error =        0.1761684E-02 iter. number =   700 denomin. =        0.2257312E+01

  global error =        0.1214251E-02 iter. number =   800 denomin. =        0.2323831E+01

  global error =        0.9661821E-03 iter. number =   900 denomin. =        0.2445804E+01

  global error =        0.6992923E-03 iter. number =  1000 denomin. =        0.2483008E+01

  global error =        0.5336143E-03 iter. number =  1100 denomin. =        0.2502623E+01

  global error =        0.4077405E-03 iter. number =  1200 denomin. =        0.2520894E+01

  global error =        0.2847624E-03 iter. number =  1300 denomin. =        0.2501151E+01

  global error =        0.2425801E-03 iter. number =  1400 denomin. =        0.2503940E+01

  global error =        0.1663444E-03 iter. number =  1500 denomin. =        0.2478879E+01

  global error =        0.1398121E-03 iter. number =  1600 denomin. =        0.2470634E+01

  global error =        0.1018479E-03 iter. number =  1700 denomin. =        0.2451468E+01

  convergence  for freq. #    86 achieved in  1705 inner iterations 
 relative error value =       0.99765381E-04


  frequency number    85 frequency :       0.10985000E+01
 jw  real sour, imag sour =     85      0.34769E+00      0.27226E+00

  global error =        0.2441026E-01 iter. number =   100 denomin. =        0.1749529E+01

  global error =        0.1883322E-01 iter. number =   200 denomin. =        0.1514163E+01

  global error =        0.1225857E-01 iter. number =   300 denomin. =        0.1554907E+01

  global error =        0.9038711E-02 iter. number =   400 denomin. =        0.1322008E+01

  global error =        0.7640097E-02 iter. number =   500 denomin. =        0.1065183E+01

  global error =        0.6118992E-02 iter. number =   600 denomin. =        0.7039622E+00

  global error =        0.4706222E-02 iter. number =   700 denomin. =        0.6250273E+00

  global error =        0.3461617E-02 iter. number =   800 denomin. =        0.5893840E+00

  global error =        0.2062686E-02 iter. number =   900 denomin. =        0.6733968E+00

  global error =        0.1700770E-02 iter. number =  1000 denomin. =        0.7401430E+00

  global error =        0.9368719E-03 iter. number =  1100 denomin. =        0.7509453E+00

  global error =        0.9363118E-03 iter. number =  1200 denomin. =        0.7427672E+00

  global error =        0.5254372E-03 iter. number =  1300 denomin. =        0.7045919E+00

  global error =        0.5242373E-03 iter. number =  1400 denomin. =        0.6865887E+00

  global error =        0.3294788E-03 iter. number =  1500 denomin. =        0.6815059E+00

  global error =        0.2949634E-03 iter. number =  1600 denomin. =        0.6885696E+00

  global error =        0.2193732E-03 iter. number =  1700 denomin. =        0.7000759E+00

  global error =        0.1832929E-03 iter. number =  1800 denomin. =        0.7048240E+00

  global error =        0.1558582E-03 iter. number =  1900 denomin. =        0.7053362E+00

  global error =        0.1281682E-03 iter. number =  2000 denomin. =        0.7016864E+00

  global error =        0.1151362E-03 iter. number =  2100 denomin. =        0.6981817E+00

  convergence  for freq. #    85 achieved in  2161 inner iterations 
 relative error value =       0.99867511E-04


  frequency number    84 frequency :       0.10855000E+01
 jw  real sour, imag sour =     84      0.32734E+00      0.30458E+00

  global error =        0.1171227E-01 iter. number =   100 denomin. =        0.7572987E+00

  global error =        0.7349605E-02 iter. number =   200 denomin. =        0.9296754E+00

  global error =        0.4505699E-02 iter. number =   300 denomin. =        0.9971564E+00

  global error =        0.3389139E-02 iter. number =   400 denomin. =        0.7565074E+00

  global error =        0.2980612E-02 iter. number =   500 denomin. =        0.6064797E+00

  global error =        0.1603671E-02 iter. number =   600 denomin. =        0.6266982E+00

  global error =        0.1392664E-02 iter. number =   700 denomin. =        0.6918987E+00

  global error =        0.7058126E-03 iter. number =   800 denomin. =        0.7146951E+00

  global error =        0.6551486E-03 iter. number =   900 denomin. =        0.6909573E+00

  global error =        0.3857844E-03 iter. number =  1000 denomin. =        0.6654296E+00

  global error =        0.3093157E-03 iter. number =  1100 denomin. =        0.6660909E+00

  global error =        0.2079685E-03 iter. number =  1200 denomin. =        0.6772240E+00

  global error =        0.1490993E-03 iter. number =  1300 denomin. =        0.6817163E+00

  global error =        0.1100918E-03 iter. number =  1400 denomin. =        0.6793428E+00

  convergence  for freq. #    84 achieved in  1421 inner iterations 
 relative error value =       0.99749454E-04


  frequency number    83 frequency :       0.10725000E+01
 jw  real sour, imag sour =     83      0.30389E+00      0.33529E+00

  global error =        0.1270547E-01 iter. number =   100 denomin. =        0.8308161E+00

  global error =        0.7838937E-02 iter. number =   200 denomin. =        0.9647389E+00

  global error =        0.6662747E-02 iter. number =   300 denomin. =        0.7372621E+00

  global error =        0.4480136E-02 iter. number =   400 denomin. =        0.5625247E+00

  global error =        0.3437750E-02 iter. number =   500 denomin. =        0.6641827E+00

  global error =        0.2005723E-02 iter. number =   600 denomin. =        0.6833314E+00

  global error =        0.1631524E-02 iter. number =   700 denomin. =        0.6125609E+00

  global error =        0.1084557E-02 iter. number =   800 denomin. =        0.6151779E+00

  global error =        0.7082913E-03 iter. number =   900 denomin. =        0.6444085E+00

  global error =        0.5392065E-03 iter. number =  1000 denomin. =        0.6330071E+00

  global error =        0.3363817E-03 iter. number =  1100 denomin. =        0.6210831E+00

  global error =        0.2618801E-03 iter. number =  1200 denomin. =        0.6295911E+00

  global error =        0.1664152E-03 iter. number =  1300 denomin. =        0.6327281E+00

  global error =        0.1231189E-03 iter. number =  1400 denomin. =        0.6276020E+00

  convergence  for freq. #    83 achieved in  1455 inner iterations 
 relative error value =       0.99719134E-04


  frequency number    82 frequency :       0.10595000E+01
 jw  real sour, imag sour =     82      0.27749E+00      0.36409E+00

  global error =        0.9380627E-02 iter. number =   100 denomin. =        0.7841298E+00

  global error =        0.7206231E-02 iter. number =   200 denomin. =        0.1023666E+01

  global error =        0.3515618E-02 iter. number =   300 denomin. =        0.1054332E+01

  global error =        0.2883372E-02 iter. number =   400 denomin. =        0.9061483E+00

  global error =        0.1801889E-02 iter. number =   500 denomin. =        0.7639709E+00

  global error =        0.1248721E-02 iter. number =   600 denomin. =        0.7578186E+00

  global error =        0.7050330E-03 iter. number =   700 denomin. =        0.7888085E+00

  global error =        0.5159245E-03 iter. number =   800 denomin. =        0.7952601E+00

  global error =        0.2980965E-03 iter. number =   900 denomin. =        0.7877284E+00

  global error =        0.1926779E-03 iter. number =  1000 denomin. =        0.7856630E+00

  global error =        0.1434880E-03 iter. number =  1100 denomin. =        0.7891321E+00

  convergence  for freq. #    82 achieved in  1150 inner iterations 
 relative error value =       0.99155638E-04


  frequency number    81 frequency :       0.10465000E+01
 jw  real sour, imag sour =     81      0.24828E+00      0.39067E+00

  global error =        0.1389015E-01 iter. number =   100 denomin. =        0.9083255E+00

  global error =        0.8645012E-02 iter. number =   200 denomin. =        0.9454013E+00

  global error =        0.8135109E-02 iter. number =   300 denomin. =        0.5975877E+00

  global error =        0.4285536E-02 iter. number =   400 denomin. =        0.5601763E+00

  global error =        0.2952830E-02 iter. number =   500 denomin. =        0.6375722E+00

  global error =        0.1943729E-02 iter. number =   600 denomin. =        0.5782094E+00

  global error =        0.1085611E-02 iter. number =   700 denomin. =        0.5663389E+00

  global error =        0.8112574E-03 iter. number =   800 denomin. =        0.5904941E+00

  global error =        0.4391491E-03 iter. number =   900 denomin. =        0.5799343E+00

  global error =        0.3001331E-03 iter. number =  1000 denomin. =        0.5755455E+00

  global error =        0.1974941E-03 iter. number =  1100 denomin. =        0.5816640E+00

  global error =        0.1087987E-03 iter. number =  1200 denomin. =        0.5798583E+00

  convergence  for freq. #    81 achieved in  1229 inner iterations 
 relative error value =       0.99836921E-04


  frequency number    80 frequency :       0.10335000E+01
 jw  real sour, imag sour =     80      0.21648E+00      0.41475E+00

  global error =        0.8776153E-02 iter. number =   100 denomin. =        0.7296323E+00

  global error =        0.6243642E-02 iter. number =   200 denomin. =        0.1012385E+01

  global error =        0.3244577E-02 iter. number =   300 denomin. =        0.1050730E+01

  global error =        0.2200929E-02 iter. number =   400 denomin. =        0.8838660E+00

  global error =        0.1865984E-02 iter. number =   500 denomin. =        0.7263429E+00

  global error =        0.1001296E-02 iter. number =   600 denomin. =        0.7075244E+00

  global error =        0.7066832E-03 iter. number =   700 denomin. =        0.7559149E+00

  global error =        0.4640685E-03 iter. number =   800 denomin. =        0.7853990E+00

  global error =        0.2736886E-03 iter. number =   900 denomin. =        0.7797336E+00

  global error =        0.2017309E-03 iter. number =  1000 denomin. =        0.7637182E+00

  global error =        0.1282598E-03 iter. number =  1100 denomin. =        0.7576351E+00

  convergence  for freq. #    80 achieved in  1157 inner iterations 
 relative error value =       0.99964328E-04


  frequency number    79 frequency :       0.10205000E+01
 jw  real sour, imag sour =     79      0.18231E+00      0.43608E+00

  global error =        0.1210655E-01 iter. number =   100 denomin. =        0.8280338E+00

  global error =        0.6483145E-02 iter. number =   200 denomin. =        0.8943537E+00

  global error =        0.4793735E-02 iter. number =   300 denomin. =        0.6949534E+00

  global error =        0.2940252E-02 iter. number =   400 denomin. =        0.6211531E+00

  global error =        0.1772450E-02 iter. number =   500 denomin. =        0.6951673E+00

  global error =        0.1130822E-02 iter. number =   600 denomin. =        0.6798743E+00

  global error =        0.7112906E-03 iter. number =   700 denomin. =        0.6495542E+00

  global error =        0.4603780E-03 iter. number =   800 denomin. =        0.6651155E+00

  global error =        0.2908956E-03 iter. number =   900 denomin. =        0.6699261E+00

  global error =        0.1958000E-03 iter. number =  1000 denomin. =        0.6618161E+00

  global error =        0.1278385E-03 iter. number =  1100 denomin. =        0.6629313E+00

  convergence  for freq. #    79 achieved in  1177 inner iterations 
 relative error value =       0.99838728E-04


  frequency number    78 frequency :       0.10075000E+01
 jw  real sour, imag sour =     78      0.14601E+00      0.45442E+00

  global error =        0.8603148E-02 iter. number =   100 denomin. =        0.8557882E+00

  global error =        0.6076157E-02 iter. number =   200 denomin. =        0.1208248E+01

  global error =        0.2780045E-02 iter. number =   300 denomin. =        0.1323743E+01

  global error =        0.1959359E-02 iter. number =   400 denomin. =        0.1190058E+01

  global error =        0.1243591E-02 iter. number =   500 denomin. =        0.1010438E+01

  global error =        0.6821200E-03 iter. number =   600 denomin. =        0.9263653E+00

  global error =        0.5047412E-03 iter. number =   700 denomin. =        0.9209496E+00

  global error =        0.2843949E-03 iter. number =   800 denomin. =        0.9417499E+00

  global error =        0.2186390E-03 iter. number =   900 denomin. =        0.9578957E+00

  global error =        0.1620283E-03 iter. number =  1000 denomin. =        0.9623766E+00

  global error =        0.1325612E-03 iter. number =  1100 denomin. =        0.9597723E+00

  global error =        0.1095358E-03 iter. number =  1200 denomin. =        0.9563877E+00

  convergence  for freq. #    78 achieved in  1233 inner iterations 
 relative error value =       0.99943556E-04


  frequency number    77 frequency :       0.99450000E+00
 jw  real sour, imag sour =     77      0.10786E+00      0.46953E+00

  global error =        0.1207961E-01 iter. number =   100 denomin. =        0.8917373E+00

  global error =        0.5818417E-02 iter. number =   200 denomin. =        0.9697635E+00

  global error =        0.4120774E-02 iter. number =   300 denomin. =        0.9148125E+00

  global error =        0.2489092E-02 iter. number =   400 denomin. =        0.7368794E+00

  global error =        0.1604248E-02 iter. number =   500 denomin. =        0.6631699E+00

  global error =        0.1083331E-02 iter. number =   600 denomin. =        0.6646844E+00

  global error =        0.6014866E-03 iter. number =   700 denomin. =        0.6946499E+00

  global error =        0.4879769E-03 iter. number =   800 denomin. =        0.7053630E+00

  global error =        0.3361948E-03 iter. number =   900 denomin. =        0.6985494E+00

  global error =        0.2778411E-03 iter. number =  1000 denomin. =        0.6915343E+00

  global error =        0.2360372E-03 iter. number =  1100 denomin. =        0.6904291E+00

  global error =        0.2099515E-03 iter. number =  1200 denomin. =        0.6925915E+00

  global error =        0.1842229E-03 iter. number =  1300 denomin. =        0.6938667E+00

  global error =        0.1606292E-03 iter. number =  1400 denomin. =        0.6937776E+00

  global error =        0.1378710E-03 iter. number =  1500 denomin. =        0.6932677E+00

  global error =        0.1184636E-03 iter. number =  1600 denomin. =        0.6930220E+00

  global error =        0.1062939E-03 iter. number =  1700 denomin. =        0.6931343E+00

  convergence  for freq. #    77 achieved in  1752 inner iterations 
 relative error value =       0.99876967E-04


  frequency number    76 frequency :       0.98150000E+00
 jw  real sour, imag sour =     76      0.68169E-01      0.48124E+00

  global error =        0.8222148E-02 iter. number =   100 denomin. =        0.8564752E+00

  global error =        0.4726018E-02 iter. number =   200 denomin. =        0.1215925E+01

  global error =        0.2243291E-02 iter. number =   300 denomin. =        0.1460920E+01

  global error =        0.1698225E-02 iter. number =   400 denomin. =        0.1467438E+01

  global error =        0.1034692E-02 iter. number =   500 denomin. =        0.1348960E+01

  global error =        0.8021418E-03 iter. number =   600 denomin. =        0.1215910E+01

  global error =        0.5332409E-03 iter. number =   700 denomin. =        0.1123090E+01

  global error =        0.4029058E-03 iter. number =   800 denomin. =        0.1084220E+01

  global error =        0.2959436E-03 iter. number =   900 denomin. =        0.1081902E+01

  global error =        0.2458421E-03 iter. number =  1000 denomin. =        0.1095615E+01

  global error =        0.2036972E-03 iter. number =  1100 denomin. =        0.1110146E+01

  global error =        0.1686028E-03 iter. number =  1200 denomin. =        0.1119059E+01

  global error =        0.1465433E-03 iter. number =  1300 denomin. =        0.1122020E+01

  global error =        0.1333581E-03 iter. number =  1400 denomin. =        0.1121260E+01

  global error =        0.1221315E-03 iter. number =  1500 denomin. =        0.1119293E+01

  global error =        0.1066083E-03 iter. number =  1600 denomin. =        0.1117615E+01

  convergence  for freq. #    76 achieved in  1639 inner iterations 
 relative error value =       0.99887413E-04


  frequency number    75 frequency :       0.96850000E+00
 jw  real sour, imag sour =     75      0.27253E-01      0.48938E+00

  global error =        0.1240630E-01 iter. number =   100 denomin. =        0.9612682E+00

  global error =        0.6012013E-02 iter. number =   200 denomin. =        0.1026599E+01

  global error =        0.3610145E-02 iter. number =   300 denomin. =        0.1169175E+01

  global error =        0.1521522E-02 iter. number =   400 denomin. =        0.1195452E+01

  global error =        0.1060170E-02 iter. number =   500 denomin. =        0.1173163E+01

  global error =        0.5261313E-03 iter. number =   600 denomin. =        0.1142226E+01

  global error =        0.3452948E-03 iter. number =   700 denomin. =        0.1111919E+01

  global error =        0.2222629E-03 iter. number =   800 denomin. =        0.1097951E+01

  global error =        0.1527635E-03 iter. number =   900 denomin. =        0.1090045E+01

  global error =        0.1195052E-03 iter. number =  1000 denomin. =        0.1088443E+01

  convergence  for freq. #    75 achieved in  1076 inner iterations 
 relative error value =       0.99902131E-04


  frequency number    74 frequency :       0.95550000E+00
 jw  real sour, imag sour =     74     -0.14549E-01      0.49382E+00

  global error =        0.1068222E-01 iter. number =   100 denomin. =        0.1116740E+01

  global error =        0.4670331E-02 iter. number =   200 denomin. =        0.1372253E+01

  global error =        0.3037576E-02 iter. number =   300 denomin. =        0.1757553E+01

  global error =        0.1313717E-02 iter. number =   400 denomin. =        0.1949858E+01

  global error =        0.9066197E-03 iter. number =   500 denomin. =        0.2034360E+01

  global error =        0.4785343E-03 iter. number =   600 denomin. =        0.2044690E+01

  global error =        0.3572608E-03 iter. number =   700 denomin. =        0.2038519E+01

  global error =        0.2575520E-03 iter. number =   800 denomin. =        0.2021808E+01

  global error =        0.2162596E-03 iter. number =   900 denomin. =        0.2011700E+01

  global error =        0.1866102E-03 iter. number =  1000 denomin. =        0.2002373E+01

  global error =        0.1671002E-03 iter. number =  1100 denomin. =        0.1998289E+01

  global error =        0.1500582E-03 iter. number =  1200 denomin. =        0.1995084E+01

  global error =        0.1363602E-03 iter. number =  1300 denomin. =        0.1994072E+01

  global error =        0.1241465E-03 iter. number =  1400 denomin. =        0.1993288E+01

  global error =        0.1133689E-03 iter. number =  1500 denomin. =        0.1993184E+01

  global error =        0.1045960E-03 iter. number =  1600 denomin. =        0.1993079E+01

  convergence  for freq. #    74 achieved in  1658 inner iterations 
 relative error value =       0.99971094E-04


  frequency number    73 frequency :       0.94250000E+00
 jw  real sour, imag sour =     73     -0.56883E-01      0.49446E+00

  global error =        0.1499641E-01 iter. number =   100 denomin. =        0.1518220E+01

  global error =        0.9821928E-02 iter. number =   200 denomin. =        0.1020789E+01

  global error =        0.4651694E-02 iter. number =   300 denomin. =        0.1251697E+01

  global error =        0.2389707E-02 iter. number =   400 denomin. =        0.1373603E+01

  global error =        0.1519616E-02 iter. number =   500 denomin. =        0.1528962E+01

  global error =        0.8182478E-03 iter. number =   600 denomin. =        0.1609096E+01

  global error =        0.6498987E-03 iter. number =   700 denomin. =        0.1676853E+01

  global error =        0.4665745E-03 iter. number =   800 denomin. =        0.1709187E+01

  global error =        0.4017417E-03 iter. number =   900 denomin. =        0.1733744E+01

  global error =        0.3386321E-03 iter. number =  1000 denomin. =        0.1744028E+01

  global error =        0.2995301E-03 iter. number =  1100 denomin. =        0.1751447E+01

  global error =        0.2665616E-03 iter. number =  1200 denomin. =        0.1753856E+01

  global error =        0.2295821E-03 iter. number =  1300 denomin. =        0.1755511E+01

  global error =        0.2003650E-03 iter. number =  1400 denomin. =        0.1755655E+01

  global error =        0.1785545E-03 iter. number =  1500 denomin. =        0.1755740E+01

  global error =        0.1549173E-03 iter. number =  1600 denomin. =        0.1755477E+01

  global error =        0.1338830E-03 iter. number =  1700 denomin. =        0.1755306E+01

  global error =        0.1194204E-03 iter. number =  1800 denomin. =        0.1755100E+01

  global error =        0.1033218E-03 iter. number =  1900 denomin. =        0.1754959E+01

  convergence  for freq. #    73 achieved in  1921 inner iterations 
 relative error value =       0.99887681E-04


  frequency number    72 frequency :       0.92950000E+00
 jw  real sour, imag sour =     72     -0.99387E-01      0.49124E+00

  global error =        0.1461329E-01 iter. number =   100 denomin. =        0.1626575E+01

  global error =        0.1056724E-01 iter. number =   200 denomin. =        0.1392828E+01

  global error =        0.4237152E-02 iter. number =   300 denomin. =        0.1530770E+01

  global error =        0.2809951E-02 iter. number =   400 denomin. =        0.1883712E+01

  global error =        0.1189126E-02 iter. number =   500 denomin. =        0.2112699E+01

  global error =        0.7938092E-03 iter. number =   600 denomin. =        0.2238912E+01

  global error =        0.4875972E-03 iter. number =   700 denomin. =        0.2361921E+01

  global error =        0.3161783E-03 iter. number =   800 denomin. =        0.2414679E+01

  global error =        0.2582431E-03 iter. number =   900 denomin. =        0.2457288E+01

  global error =        0.1906436E-03 iter. number =  1000 denomin. =        0.2482419E+01

  global error =        0.1542767E-03 iter. number =  1100 denomin. =        0.2495928E+01

  global error =        0.1339637E-03 iter. number =  1200 denomin. =        0.2506013E+01

  global error =        0.1110367E-03 iter. number =  1300 denomin. =        0.2511009E+01

  convergence  for freq. #    72 achieved in  1343 inner iterations 
 relative error value =       0.99803785E-04


  frequency number    71 frequency :       0.91650000E+00
 jw  real sour, imag sour =     71     -0.14169E+00      0.48415E+00

  global error =        0.1561052E-01 iter. number =   100 denomin. =        0.2188549E+01

  global error =        0.1282718E-01 iter. number =   200 denomin. =        0.1405323E+01

  global error =        0.6644957E-02 iter. number =   300 denomin. =        0.1394463E+01

  global error =        0.3691759E-02 iter. number =   400 denomin. =        0.1724834E+01

  global error =        0.2119904E-02 iter. number =   500 denomin. =        0.1649758E+01

  global error =        0.1242821E-02 iter. number =   600 denomin. =        0.1717755E+01

  global error =        0.7629452E-03 iter. number =   700 denomin. =        0.1695820E+01

  global error =        0.4666187E-03 iter. number =   800 denomin. =        0.1668414E+01

  global error =        0.3122275E-03 iter. number =   900 denomin. =        0.1675615E+01

  global error =        0.2256507E-03 iter. number =  1000 denomin. =        0.1660676E+01

  global error =        0.1549770E-03 iter. number =  1100 denomin. =        0.1665244E+01

  global error =        0.1152479E-03 iter. number =  1200 denomin. =        0.1664035E+01

  convergence  for freq. #    71 achieved in  1264 inner iterations 
 relative error value =       0.99781312E-04


  frequency number    70 frequency :       0.90350000E+00
 jw  real sour, imag sour =     70     -0.18341E+00      0.47318E+00

  global error =        0.1276935E-01 iter. number =   100 denomin. =        0.1833770E+01

  global error =        0.9145129E-02 iter. number =   200 denomin. =        0.1875258E+01

  global error =        0.4102740E-02 iter. number =   300 denomin. =        0.1692866E+01

  global error =        0.2900701E-02 iter. number =   400 denomin. =        0.1789042E+01

  global error =        0.1379203E-02 iter. number =   500 denomin. =        0.1908981E+01

  global error =        0.9906335E-03 iter. number =   600 denomin. =        0.1782166E+01

  global error =        0.5364691E-03 iter. number =   700 denomin. =        0.1764113E+01

  global error =        0.3715664E-03 iter. number =   800 denomin. =        0.1767005E+01

  global error =        0.2223652E-03 iter. number =   900 denomin. =        0.1750542E+01

  global error =        0.1624899E-03 iter. number =  1000 denomin. =        0.1760271E+01

  global error =        0.1148652E-03 iter. number =  1100 denomin. =        0.1765636E+01

  convergence  for freq. #    70 achieved in  1132 inner iterations 
 relative error value =       0.99627520E-04


  frequency number    69 frequency :       0.89050000E+00
 jw  real sour, imag sour =     69     -0.22419E+00      0.45839E+00

  global error =        0.1256343E-01 iter. number =   100 denomin. =        0.2000259E+01

  global error =        0.8874570E-02 iter. number =   200 denomin. =        0.1996775E+01

  global error =        0.3960827E-02 iter. number =   300 denomin. =        0.1650541E+01

  global error =        0.2349641E-02 iter. number =   400 denomin. =        0.1602849E+01

  global error =        0.1037271E-02 iter. number =   500 denomin. =        0.1653638E+01

  global error =        0.6338148E-03 iter. number =   600 denomin. =        0.1539247E+01

  global error =        0.3454247E-03 iter. number =   700 denomin. =        0.1504993E+01

  global error =        0.2332974E-03 iter. number =   800 denomin. =        0.1522462E+01

  global error =        0.1457552E-03 iter. number =   900 denomin. =        0.1533987E+01

  global error =        0.1035584E-03 iter. number =  1000 denomin. =        0.1541717E+01

  convergence  for freq. #    69 achieved in  1010 inner iterations 
 relative error value =       0.99789190E-04


  frequency number    68 frequency :       0.87750000E+00
 jw  real sour, imag sour =     68     -0.26364E+00      0.43986E+00

  global error =        0.1151678E-01 iter. number =   100 denomin. =        0.1880140E+01

  global error =        0.7953577E-02 iter. number =   200 denomin. =        0.2170060E+01

  global error =        0.3836805E-02 iter. number =   300 denomin. =        0.1829313E+01

  global error =        0.3092926E-02 iter. number =   400 denomin. =        0.1449278E+01

  global error =        0.1423547E-02 iter. number =   500 denomin. =        0.1495408E+01

  global error =        0.9670409E-03 iter. number =   600 denomin. =        0.1546203E+01

  global error =        0.4964136E-03 iter. number =   700 denomin. =        0.1508633E+01

  global error =        0.3195669E-03 iter. number =   800 denomin. =        0.1494323E+01

  global error =        0.1786137E-03 iter. number =   900 denomin. =        0.1510270E+01

  global error =        0.1100856E-03 iter. number =  1000 denomin. =        0.1514630E+01

  convergence  for freq. #    68 achieved in  1026 inner iterations 
 relative error value =       0.99682368E-04


  frequency number    67 frequency :       0.86450000E+00
 jw  real sour, imag sour =     67     -0.30142E+00      0.41773E+00

  global error =        0.1005184E-01 iter. number =   100 denomin. =        0.1932178E+01

  global error =        0.6452034E-02 iter. number =   200 denomin. =        0.2454712E+01

  global error =        0.3117034E-02 iter. number =   300 denomin. =        0.2401854E+01

  global error =        0.2314991E-02 iter. number =   400 denomin. =        0.1957931E+01

  global error =        0.1424120E-02 iter. number =   500 denomin. =        0.1823219E+01

  global error =        0.8065285E-03 iter. number =   600 denomin. =        0.1939501E+01

  global error =        0.5120904E-03 iter. number =   700 denomin. =        0.1988868E+01

  global error =        0.2963993E-03 iter. number =   800 denomin. =        0.1950413E+01

  global error =        0.1910076E-03 iter. number =   900 denomin. =        0.1924045E+01

  global error =        0.1112408E-03 iter. number =  1000 denomin. =        0.1933119E+01

  convergence  for freq. #    67 achieved in  1022 inner iterations 
 relative error value =       0.99653243E-04


  frequency number    66 frequency :       0.85150000E+00
 jw  real sour, imag sour =     66     -0.33716E+00      0.39216E+00

  global error =        0.1060724E-01 iter. number =   100 denomin. =        0.2289390E+01

  global error =        0.6233901E-02 iter. number =   200 denomin. =        0.2810952E+01

  global error =        0.3300528E-02 iter. number =   300 denomin. =        0.2665395E+01

  global error =        0.2090786E-02 iter. number =   400 denomin. =        0.2105299E+01

  global error =        0.1113348E-02 iter. number =   500 denomin. =        0.2063534E+01

  global error =        0.6644083E-03 iter. number =   600 denomin. =        0.2200976E+01

  global error =        0.3307776E-03 iter. number =   700 denomin. =        0.2209428E+01

  global error =        0.2050673E-03 iter. number =   800 denomin. =        0.2167648E+01

  global error =        0.1106541E-03 iter. number =   900 denomin. =        0.2163039E+01

  convergence  for freq. #    66 achieved in   924 inner iterations 
 relative error value =       0.99725941E-04


  frequency number    65 frequency :       0.83850000E+00
 jw  real sour, imag sour =     65     -0.37054E+00      0.36333E+00

  global error =        0.9606411E-02 iter. number =   100 denomin. =        0.2489257E+01

  global error =        0.5548482E-02 iter. number =   200 denomin. =        0.3224275E+01

  global error =        0.2643676E-02 iter. number =   300 denomin. =        0.3594280E+01

  global error =        0.1333357E-02 iter. number =   400 denomin. =        0.3346585E+01

  global error =        0.7431121E-03 iter. number =   500 denomin. =        0.3049762E+01

  global error =        0.3759423E-03 iter. number =   600 denomin. =        0.2905862E+01

  global error =        0.1959146E-03 iter. number =   700 denomin. =        0.2833725E+01

  global error =        0.1197884E-03 iter. number =   800 denomin. =        0.2815521E+01

  convergence  for freq. #    65 achieved in   828 inner iterations 
 relative error value =       0.99555782E-04


  frequency number    64 frequency :       0.82550000E+00
 jw  real sour, imag sour =     64     -0.40124E+00      0.33149E+00

  global error =        0.1126145E-01 iter. number =   100 denomin. =        0.2668238E+01

  global error =        0.5333757E-02 iter. number =   200 denomin. =        0.2997384E+01

  global error =        0.2769112E-02 iter. number =   300 denomin. =        0.3176279E+01

  global error =        0.1761427E-02 iter. number =   400 denomin. =        0.2799792E+01

  global error =        0.1131072E-02 iter. number =   500 denomin. =        0.2451937E+01

  global error =        0.6863234E-03 iter. number =   600 denomin. =        0.2247125E+01

  global error =        0.4164233E-03 iter. number =   700 denomin. =        0.2195451E+01

  global error =        0.2432485E-03 iter. number =   800 denomin. =        0.2227456E+01

  global error =        0.1437209E-03 iter. number =   900 denomin. =        0.2270083E+01

  convergence  for freq. #    64 achieved in   971 inner iterations 
 relative error value =       0.99611373E-04


  frequency number    63 frequency :       0.81250000E+00
 jw  real sour, imag sour =     63     -0.42897E+00      0.29690E+00

  global error =        0.9409390E-02 iter. number =   100 denomin. =        0.2716921E+01

  global error =        0.4540646E-02 iter. number =   200 denomin. =        0.3680664E+01

  global error =        0.2520714E-02 iter. number =   300 denomin. =        0.4605779E+01

  global error =        0.1377611E-02 iter. number =   400 denomin. =        0.4788120E+01

  global error =        0.8864271E-03 iter. number =   500 denomin. =        0.4583811E+01

  global error =        0.5286934E-03 iter. number =   600 denomin. =        0.4286982E+01

  global error =        0.3261119E-03 iter. number =   700 denomin. =        0.4047567E+01

  global error =        0.1950084E-03 iter. number =   800 denomin. =        0.3916075E+01

  global error =        0.1177541E-03 iter. number =   900 denomin. =        0.3869555E+01

  convergence  for freq. #    63 achieved in   938 inner iterations 
 relative error value =       0.99749310E-04


  frequency number    62 frequency :       0.79950000E+00
 jw  real sour, imag sour =     62     -0.45348E+00      0.25984E+00

  global error =        0.1228287E-01 iter. number =   100 denomin. =        0.3515761E+01

  global error =        0.6682297E-02 iter. number =   200 denomin. =        0.3528783E+01

  global error =        0.3385048E-02 iter. number =   300 denomin. =        0.4163784E+01

  global error =        0.1877831E-02 iter. number =   400 denomin. =        0.4302275E+01

  global error =        0.8891178E-03 iter. number =   500 denomin. =        0.4253370E+01

  global error =        0.5891564E-03 iter. number =   600 denomin. =        0.4199108E+01

  global error =        0.3152398E-03 iter. number =   700 denomin. =        0.4131453E+01

  global error =        0.1918157E-03 iter. number =   800 denomin. =        0.4118222E+01

  global error =        0.1187166E-03 iter. number =   900 denomin. =        0.4104843E+01

  convergence  for freq. #    62 achieved in   921 inner iterations 
 relative error value =       0.99122668E-04


  frequency number    61 frequency :       0.78650000E+00
 jw  real sour, imag sour =     61     -0.47452E+00      0.22064E+00

  global error =        0.1180504E-01 iter. number =   100 denomin. =        0.3980425E+01

  global error =        0.5430247E-02 iter. number =   200 denomin. =        0.4302228E+01

  global error =        0.2663514E-02 iter. number =   300 denomin. =        0.5323144E+01

  global error =        0.1216230E-02 iter. number =   400 denomin. =        0.6081828E+01

  global error =        0.7192134E-03 iter. number =   500 denomin. =        0.6502074E+01

  global error =        0.3292888E-03 iter. number =   600 denomin. =        0.6796203E+01

  global error =        0.2166494E-03 iter. number =   700 denomin. =        0.6930203E+01

  global error =        0.1063452E-03 iter. number =   800 denomin. =        0.7017839E+01

  convergence  for freq. #    61 achieved in   807 inner iterations 
 relative error value =       0.99906194E-04


  frequency number    60 frequency :       0.77350000E+00
 jw  real sour, imag sour =     60     -0.49190E+00      0.17965E+00

  global error =        0.1511177E-01 iter. number =   100 denomin. =        0.5500738E+01

  global error =        0.9728306E-02 iter. number =   200 denomin. =        0.3280366E+01

  global error =        0.3219180E-02 iter. number =   300 denomin. =        0.3796791E+01

  global error =        0.1652255E-02 iter. number =   400 denomin. =        0.4451355E+01

  global error =        0.9976923E-03 iter. number =   500 denomin. =        0.4901229E+01

  global error =        0.6805078E-03 iter. number =   600 denomin. =        0.5230851E+01

  global error =        0.5973311E-03 iter. number =   700 denomin. =        0.5439042E+01

  global error =        0.5359790E-03 iter. number =   800 denomin. =        0.5575006E+01

  global error =        0.5111213E-03 iter. number =   900 denomin. =        0.5658276E+01

  global error =        0.4915005E-03 iter. number =  1000 denomin. =        0.5709268E+01

  global error =        0.4764698E-03 iter. number =  1100 denomin. =        0.5739663E+01

  global error =        0.4629758E-03 iter. number =  1200 denomin. =        0.5757623E+01

  global error =        0.4506739E-03 iter. number =  1300 denomin. =        0.5767789E+01

  global error =        0.4389883E-03 iter. number =  1400 denomin. =        0.5773562E+01

  global error =        0.4277495E-03 iter. number =  1500 denomin. =        0.5776848E+01

  global error =        0.4169168E-03 iter. number =  1600 denomin. =        0.5778451E+01

  global error =        0.4064038E-03 iter. number =  1700 denomin. =        0.5779261E+01

  global error =        0.3961481E-03 iter. number =  1800 denomin. =        0.5779678E+01

  global error =        0.3861741E-03 iter. number =  1900 denomin. =        0.5779724E+01

  global error =        0.3764631E-03 iter. number =  2000 denomin. =        0.5779710E+01

  global error =        0.3670037E-03 iter. number =  2100 denomin. =        0.5779713E+01

  global error =        0.3577964E-03 iter. number =  2200 denomin. =        0.5779583E+01

  global error =        0.3488317E-03 iter. number =  2300 denomin. =        0.5779470E+01

  global error =        0.3400923E-03 iter. number =  2400 denomin. =        0.5779409E+01

  global error =        0.3315772E-03 iter. number =  2500 denomin. =        0.5779284E+01

  global error =        0.3232794E-03 iter. number =  2600 denomin. =        0.5779186E+01

  global error =        0.3151929E-03 iter. number =  2700 denomin. =        0.5779122E+01

  global error =        0.3073155E-03 iter. number =  2800 denomin. =        0.5778999E+01

  global error =        0.2996356E-03 iter. number =  2900 denomin. =        0.5778888E+01

  global error =        0.2921526E-03 iter. number =  3000 denomin. =        0.5778793E+01

  global error =        0.2848573E-03 iter. number =  3100 denomin. =        0.5778657E+01

  global error =        0.2777484E-03 iter. number =  3200 denomin. =        0.5778546E+01

  global error =        0.2708201E-03 iter. number =  3300 denomin. =        0.5778464E+01

  global error =        0.2640633E-03 iter. number =  3400 denomin. =        0.5778367E+01

  global error =        0.2574822E-03 iter. number =  3500 denomin. =        0.5778300E+01

  global error =        0.2510648E-03 iter. number =  3600 denomin. =        0.5778247E+01

  global error =        0.2448067E-03 iter. number =  3700 denomin. =        0.5778172E+01

  global error =        0.2387121E-03 iter. number =  3800 denomin. =        0.5778119E+01

  global error =        0.2327716E-03 iter. number =  3900 denomin. =        0.5778093E+01

  global error =        0.2269748E-03 iter. number =  4000 denomin. =        0.5778093E+01

  NO convergence  for freq. #    60 after   4001 inner iterations 
 relative error value reduction =       0.22697477E-03


  frequency number    59 frequency :       0.76050000E+00
 jw  real sour, imag sour =     59     -0.50546E+00      0.13721E+00

  global error =        0.1452153E-01 iter. number =   100 denomin. =        0.5425466E+01

  global error =        0.9802970E-02 iter. number =   200 denomin. =        0.4919414E+01

  global error =        0.3805007E-02 iter. number =   300 denomin. =        0.5694407E+01

  global error =        0.2446936E-02 iter. number =   400 denomin. =        0.6828117E+01

  global error =        0.1207499E-02 iter. number =   500 denomin. =        0.7556289E+01

  global error =        0.6494040E-03 iter. number =   600 denomin. =        0.7810507E+01

  global error =        0.4851453E-03 iter. number =   700 denomin. =        0.8052189E+01

  global error =        0.3454898E-03 iter. number =   800 denomin. =        0.8123031E+01

  global error =        0.2869484E-03 iter. number =   900 denomin. =        0.8150929E+01

  global error =        0.2635938E-03 iter. number =  1000 denomin. =        0.8165700E+01

  global error =        0.2417949E-03 iter. number =  1100 denomin. =        0.8160612E+01

  global error =        0.2280550E-03 iter. number =  1200 denomin. =        0.8156233E+01

  global error =        0.2162460E-03 iter. number =  1300 denomin. =        0.8151773E+01

  global error =        0.2054180E-03 iter. number =  1400 denomin. =        0.8146798E+01

  global error =        0.1954585E-03 iter. number =  1500 denomin. =        0.8144114E+01

  global error =        0.1862131E-03 iter. number =  1600 denomin. =        0.8141718E+01

  global error =        0.1776406E-03 iter. number =  1700 denomin. =        0.8140257E+01

  global error =        0.1696555E-03 iter. number =  1800 denomin. =        0.8139368E+01

  global error =        0.1621583E-03 iter. number =  1900 denomin. =        0.8138693E+01

  global error =        0.1550353E-03 iter. number =  2000 denomin. =        0.8138356E+01

  global error =        0.1482366E-03 iter. number =  2100 denomin. =        0.8138137E+01

  global error =        0.1419008E-03 iter. number =  2200 denomin. =        0.8137961E+01

  global error =        0.1360495E-03 iter. number =  2300 denomin. =        0.8137900E+01

  global error =        0.1305502E-03 iter. number =  2400 denomin. =        0.8137860E+01

  global error =        0.1252863E-03 iter. number =  2500 denomin. =        0.8137788E+01

  global error =        0.1202110E-03 iter. number =  2600 denomin. =        0.8137783E+01

  global error =        0.1154641E-03 iter. number =  2700 denomin. =        0.8137778E+01

  global error =        0.1109679E-03 iter. number =  2800 denomin. =        0.8137711E+01

  global error =        0.1067162E-03 iter. number =  2900 denomin. =        0.8137698E+01

  global error =        0.1028436E-03 iter. number =  3000 denomin. =        0.8137708E+01

  convergence  for freq. #    59 achieved in  3079 inner iterations 
 relative error value =       0.99973518E-04


  frequency number    58 frequency :       0.74750000E+00
 jw  real sour, imag sour =     58     -0.51506E+00      0.93719E-01

  global error =        0.1527123E-01 iter. number =   100 denomin. =        0.7058261E+01

  global error =        0.1137107E-01 iter. number =   200 denomin. =        0.4834063E+01

  global error =        0.5860956E-02 iter. number =   300 denomin. =        0.5158509E+01

  global error =        0.3292906E-02 iter. number =   400 denomin. =        0.6134843E+01

  global error =        0.1941223E-02 iter. number =   500 denomin. =        0.5922745E+01

  global error =        0.1158352E-02 iter. number =   600 denomin. =        0.6234317E+01

  global error =        0.7140439E-03 iter. number =   700 denomin. =        0.6103088E+01

  global error =        0.4343614E-03 iter. number =   800 denomin. =        0.6126445E+01

  global error =        0.2748726E-03 iter. number =   900 denomin. =        0.6122265E+01

  global error =        0.1775373E-03 iter. number =  1000 denomin. =        0.6102466E+01

  global error =        0.1243669E-03 iter. number =  1100 denomin. =        0.6119134E+01

  convergence  for freq. #    58 achieved in  1175 inner iterations 
 relative error value =       0.99950748E-04


  frequency number    57 frequency :       0.73450000E+00
 jw  real sour, imag sour =     57     -0.52062E+00      0.49557E-01

  global error =        0.1371909E-01 iter. number =   100 denomin. =        0.6260577E+01

  global error =        0.9393018E-02 iter. number =   200 denomin. =        0.5978633E+01

  global error =        0.3692528E-02 iter. number =   300 denomin. =        0.5790365E+01

  global error =        0.2189441E-02 iter. number =   400 denomin. =        0.6576826E+01

  global error =        0.1053106E-02 iter. number =   500 denomin. =        0.7136628E+01

  global error =        0.6191687E-03 iter. number =   600 denomin. =        0.7181708E+01

  global error =        0.3386850E-03 iter. number =   700 denomin. =        0.7309950E+01

  global error =        0.1861943E-03 iter. number =   800 denomin. =        0.7265406E+01

  global error =        0.1166537E-03 iter. number =   900 denomin. =        0.7232498E+01

  convergence  for freq. #    57 achieved in   923 inner iterations 
 relative error value =       0.99560930E-04


  frequency number    56 frequency :       0.72150000E+00
 jw  real sour, imag sour =     56     -0.52209E+00      0.51257E-02

  global error =        0.1480561E-01 iter. number =   100 denomin. =        0.7037793E+01

  global error =        0.1020803E-01 iter. number =   200 denomin. =        0.5047654E+01

  global error =        0.4020504E-02 iter. number =   300 denomin. =        0.4528375E+01

  global error =        0.1677088E-02 iter. number =   400 denomin. =        0.5647784E+01

  global error =        0.7435411E-03 iter. number =   500 denomin. =        0.5972059E+01

  global error =        0.4503206E-03 iter. number =   600 denomin. =        0.6001483E+01

  global error =        0.3146826E-03 iter. number =   700 denomin. =        0.5910534E+01

  global error =        0.2416517E-03 iter. number =   800 denomin. =        0.5791547E+01

  global error =        0.2085285E-03 iter. number =   900 denomin. =        0.5704067E+01

  global error =        0.1879355E-03 iter. number =  1000 denomin. =        0.5655320E+01

  global error =        0.1773029E-03 iter. number =  1100 denomin. =        0.5636031E+01

  global error =        0.1695353E-03 iter. number =  1200 denomin. =        0.5632227E+01

  global error =        0.1634167E-03 iter. number =  1300 denomin. =        0.5635091E+01

  global error =        0.1578601E-03 iter. number =  1400 denomin. =        0.5639605E+01

  global error =        0.1525956E-03 iter. number =  1500 denomin. =        0.5644207E+01

  global error =        0.1475572E-03 iter. number =  1600 denomin. =        0.5648702E+01

  global error =        0.1426472E-03 iter. number =  1700 denomin. =        0.5653011E+01

  global error =        0.1379085E-03 iter. number =  1800 denomin. =        0.5656666E+01

  global error =        0.1333768E-03 iter. number =  1900 denomin. =        0.5658996E+01

  global error =        0.1290123E-03 iter. number =  2000 denomin. =        0.5659531E+01

  global error =        0.1248431E-03 iter. number =  2100 denomin. =        0.5658248E+01

  global error =        0.1208524E-03 iter. number =  2200 denomin. =        0.5655615E+01

  global error =        0.1170257E-03 iter. number =  2300 denomin. =        0.5652440E+01

  global error =        0.1133674E-03 iter. number =  2400 denomin. =        0.5649605E+01

  global error =        0.1098514E-03 iter. number =  2500 denomin. =        0.5647824E+01

  global error =        0.1064782E-03 iter. number =  2600 denomin. =        0.5647458E+01

  global error =        0.1032398E-03 iter. number =  2700 denomin. =        0.5648437E+01

  global error =        0.1001335E-03 iter. number =  2800 denomin. =        0.5650322E+01

  convergence  for freq. #    56 achieved in  2805 inner iterations 
 relative error value =       0.99981711E-04


  frequency number    55 frequency :       0.70850000E+00
 jw  real sour, imag sour =     55     -0.51947E+00     -0.39173E-01

  global error =        0.1353086E-01 iter. number =   100 denomin. =        0.6414254E+01

  global error =        0.9845928E-02 iter. number =   200 denomin. =        0.6515484E+01

  global error =        0.4551819E-02 iter. number =   300 denomin. =        0.6221502E+01

  global error =        0.2937108E-02 iter. number =   400 denomin. =        0.6907217E+01

  global error =        0.1741732E-02 iter. number =   500 denomin. =        0.7873507E+01

  global error =        0.1103895E-02 iter. number =   600 denomin. =        0.8045030E+01

  global error =        0.8826371E-03 iter. number =   700 denomin. =        0.8033161E+01

  global error =        0.7493989E-03 iter. number =   800 denomin. =        0.8145309E+01

  global error =        0.6793760E-03 iter. number =   900 denomin. =        0.8140868E+01

  global error =        0.6450059E-03 iter. number =  1000 denomin. =        0.8095081E+01

  global error =        0.6150263E-03 iter. number =  1100 denomin. =        0.8099852E+01

  global error =        0.5911849E-03 iter. number =  1200 denomin. =        0.8095081E+01

  global error =        0.5702884E-03 iter. number =  1300 denomin. =        0.8079320E+01

  global error =        0.5499680E-03 iter. number =  1400 denomin. =        0.8078305E+01

  global error =        0.5306954E-03 iter. number =  1500 denomin. =        0.8079208E+01

  global error =        0.5122532E-03 iter. number =  1600 denomin. =        0.8074486E+01

  global error =        0.4943956E-03 iter. number =  1700 denomin. =        0.8073060E+01

  global error =        0.4771153E-03 iter. number =  1800 denomin. =        0.8074835E+01

  global error =        0.4605338E-03 iter. number =  1900 denomin. =        0.8073571E+01

  global error =        0.4446075E-03 iter. number =  2000 denomin. =        0.8071668E+01

  global error =        0.4291731E-03 iter. number =  2100 denomin. =        0.8072702E+01

  global error =        0.4143179E-03 iter. number =  2200 denomin. =        0.8073127E+01

  global error =        0.4000790E-03 iter. number =  2300 denomin. =        0.8071270E+01

  global error =        0.3863106E-03 iter. number =  2400 denomin. =        0.8070888E+01

  global error =        0.3730083E-03 iter. number =  2500 denomin. =        0.8071982E+01

  global error =        0.3602231E-03 iter. number =  2600 denomin. =        0.8071240E+01

  global error =        0.3478942E-03 iter. number =  2700 denomin. =        0.8069973E+01

  global error =        0.3359646E-03 iter. number =  2800 denomin. =        0.8070558E+01

  global error =        0.3244620E-03 iter. number =  2900 denomin. =        0.8070898E+01

  global error =        0.3133951E-03 iter. number =  3000 denomin. =        0.8069780E+01

  global error =        0.3027073E-03 iter. number =  3100 denomin. =        0.8069507E+01

  global error =        0.2923833E-03 iter. number =  3200 denomin. =        0.8070148E+01

  global error =        0.2824465E-03 iter. number =  3300 denomin. =        0.8069680E+01

  global error =        0.2728693E-03 iter. number =  3400 denomin. =        0.8068934E+01

  global error =        0.2636150E-03 iter. number =  3500 denomin. =        0.8069321E+01

  global error =        0.2546944E-03 iter. number =  3600 denomin. =        0.8069487E+01

  global error =        0.2461062E-03 iter. number =  3700 denomin. =        0.8068782E+01

  global error =        0.2378156E-03 iter. number =  3800 denomin. =        0.8068679E+01

  global error =        0.2298133E-03 iter. number =  3900 denomin. =        0.8069092E+01

  global error =        0.2221075E-03 iter. number =  4000 denomin. =        0.8068762E+01

  NO convergence  for freq. #    55 after   4001 inner iterations 
 relative error value reduction =       0.22210746E-03


  frequency number    54 frequency :       0.69550000E+00
 jw  real sour, imag sour =     54     -0.51278E+00     -0.82937E-01

  global error =        0.1435576E-01 iter. number =   100 denomin. =        0.8503428E+01

  global error =        0.1055802E-01 iter. number =   200 denomin. =        0.7803734E+01

  global error =        0.5447875E-02 iter. number =   300 denomin. =        0.6907491E+01

  global error =        0.3418278E-02 iter. number =   400 denomin. =        0.7709782E+01

  global error =        0.1954446E-02 iter. number =   500 denomin. =        0.8265458E+01

  global error =        0.1276665E-02 iter. number =   600 denomin. =        0.7783426E+01

  global error =        0.7956523E-03 iter. number =   700 denomin. =        0.7889625E+01

  global error =        0.5419644E-03 iter. number =   800 denomin. =        0.7908816E+01

  global error =        0.3840850E-03 iter. number =   900 denomin. =        0.7822992E+01

  global error =        0.2950706E-03 iter. number =  1000 denomin. =        0.7872508E+01

  global error =        0.2399820E-03 iter. number =  1100 denomin. =        0.7870232E+01

  global error =        0.2031643E-03 iter. number =  1200 denomin. =        0.7855560E+01

  global error =        0.1756416E-03 iter. number =  1300 denomin. =        0.7867436E+01

  global error =        0.1547591E-03 iter. number =  1400 denomin. =        0.7863666E+01

  global error =        0.1370608E-03 iter. number =  1500 denomin. =        0.7861708E+01

  global error =        0.1215483E-03 iter. number =  1600 denomin. =        0.7864386E+01

  global error =        0.1083391E-03 iter. number =  1700 denomin. =        0.7863074E+01

  convergence  for freq. #    54 achieved in  1771 inner iterations 
 relative error value =       0.99984280E-04


  frequency number    53 frequency :       0.68250000E+00
 jw  real sour, imag sour =     53     -0.50211E+00     -0.12577E+00

  global error =        0.1390141E-01 iter. number =   100 denomin. =        0.8418097E+01

  global error =        0.9801647E-02 iter. number =   200 denomin. =        0.8246479E+01

  global error =        0.4724938E-02 iter. number =   300 denomin. =        0.6687585E+01

  global error =        0.2772222E-02 iter. number =   400 denomin. =        0.6790821E+01

  global error =        0.1401554E-02 iter. number =   500 denomin. =        0.7063116E+01

  global error =        0.8936076E-03 iter. number =   600 denomin. =        0.6510167E+01

  global error =        0.4318327E-03 iter. number =   700 denomin. =        0.6500931E+01

  global error =        0.2916303E-03 iter. number =   800 denomin. =        0.6485526E+01

  global error =        0.1370437E-03 iter. number =   900 denomin. =        0.6470352E+01

  global error =        0.1002769E-03 iter. number =  1000 denomin. =        0.6526132E+01

  convergence  for freq. #    53 achieved in  1001 inner iterations 
 relative error value =       0.99694050E-04


  frequency number    52 frequency :       0.66950000E+00
 jw  real sour, imag sour =     52     -0.48756E+00     -0.16729E+00

  global error =        0.1319237E-01 iter. number =   100 denomin. =        0.7355212E+01

  global error =        0.8655612E-02 iter. number =   200 denomin. =        0.7359999E+01

  global error =        0.3516615E-02 iter. number =   300 denomin. =        0.6275354E+01

  global error =        0.1682909E-02 iter. number =   400 denomin. =        0.6586787E+01

  global error =        0.8004747E-03 iter. number =   500 denomin. =        0.7069204E+01

  global error =        0.4132922E-03 iter. number =   600 denomin. =        0.6958937E+01

  global error =        0.3013842E-03 iter. number =   700 denomin. =        0.6733514E+01

  global error =        0.1963449E-03 iter. number =   800 denomin. =        0.6589461E+01

  global error =        0.1493024E-03 iter. number =   900 denomin. =        0.6524012E+01

  global error =        0.1270474E-03 iter. number =  1000 denomin. =        0.6506670E+01

  global error =        0.1139838E-03 iter. number =  1100 denomin. =        0.6517564E+01

  global error =        0.1052519E-03 iter. number =  1200 denomin. =        0.6536250E+01

  convergence  for freq. #    52 achieved in  1268 inner iterations 
 relative error value =       0.99978327E-04


  frequency number    51 frequency :       0.65650000E+00
 jw  real sour, imag sour =     51     -0.46930E+00     -0.20711E+00

  global error =        0.1340496E-01 iter. number =   100 denomin. =        0.7556168E+01

  global error =        0.9074600E-02 iter. number =   200 denomin. =        0.7907249E+01

  global error =        0.4099800E-02 iter. number =   300 denomin. =        0.7696743E+01

  global error =        0.2567198E-02 iter. number =   400 denomin. =        0.8213380E+01

  global error =        0.1355185E-02 iter. number =   500 denomin. =        0.9113685E+01

  global error =        0.7059297E-03 iter. number =   600 denomin. =        0.9007256E+01

  global error =        0.4634764E-03 iter. number =   700 denomin. =        0.8739562E+01

  global error =        0.2361784E-03 iter. number =   800 denomin. =        0.8741853E+01

  global error =        0.1484514E-03 iter. number =   900 denomin. =        0.8709689E+01

  convergence  for freq. #    51 achieved in   990 inner iterations 
 relative error value =       0.99640867E-04


  frequency number    50 frequency :       0.64350000E+00
 jw  real sour, imag sour =     50     -0.44753E+00     -0.24489E+00

  global error =        0.1375391E-01 iter. number =   100 denomin. =        0.9938476E+01

  global error =        0.1005947E-01 iter. number =   200 denomin. =        0.1053315E+02

  global error =        0.5600506E-02 iter. number =   300 denomin. =        0.8830228E+01

  global error =        0.3559927E-02 iter. number =   400 denomin. =        0.8609111E+01

  global error =        0.2136395E-02 iter. number =   500 denomin. =        0.9646611E+01

  global error =        0.1302640E-02 iter. number =   600 denomin. =        0.9360459E+01

  global error =        0.8265274E-03 iter. number =   700 denomin. =        0.9063331E+01

  global error =        0.5192116E-03 iter. number =   800 denomin. =        0.9274216E+01

  global error =        0.3456074E-03 iter. number =   900 denomin. =        0.9261039E+01

  global error =        0.2491398E-03 iter. number =  1000 denomin. =        0.9186912E+01

  global error =        0.1963643E-03 iter. number =  1100 denomin. =        0.9233436E+01

  global error =        0.1691833E-03 iter. number =  1200 denomin. =        0.9240273E+01

  global error =        0.1541146E-03 iter. number =  1300 denomin. =        0.9221561E+01

  global error =        0.1457237E-03 iter. number =  1400 denomin. =        0.9229837E+01

  global error =        0.1401519E-03 iter. number =  1500 denomin. =        0.9233412E+01

  global error =        0.1371887E-03 iter. number =  1600 denomin. =        0.9229101E+01

  global error =        0.1348338E-03 iter. number =  1700 denomin. =        0.9230934E+01

  global error =        0.1323775E-03 iter. number =  1800 denomin. =        0.9232834E+01

  global error =        0.1298178E-03 iter. number =  1900 denomin. =        0.9232125E+01

  global error =        0.1270636E-03 iter. number =  2000 denomin. =        0.9232228E+01

  global error =        0.1244097E-03 iter. number =  2100 denomin. =        0.9232450E+01

  global error =        0.1214908E-03 iter. number =  2200 denomin. =        0.9232098E+01

  global error =        0.1177960E-03 iter. number =  2300 denomin. =        0.9232017E+01

  global error =        0.1145846E-03 iter. number =  2400 denomin. =        0.9232125E+01

  global error =        0.1116495E-03 iter. number =  2500 denomin. =        0.9232118E+01

  global error =        0.1086311E-03 iter. number =  2600 denomin. =        0.9232118E+01

  global error =        0.1060447E-03 iter. number =  2700 denomin. =        0.9232124E+01

  global error =        0.1038555E-03 iter. number =  2800 denomin. =        0.9232119E+01

  global error =        0.1024388E-03 iter. number =  2900 denomin. =        0.9232182E+01

  global error =        0.1012995E-03 iter. number =  3000 denomin. =        0.9232287E+01

  global error =        0.1002017E-03 iter. number =  3100 denomin. =        0.9232362E+01

  convergence  for freq. #    50 achieved in  3118 inner iterations 
 relative error value =       0.99992526E-04


  frequency number    49 frequency :       0.63050000E+00
 jw  real sour, imag sour =     49     -0.42246E+00     -0.28028E+00

  global error =        0.1374605E-01 iter. number =   100 denomin. =        0.9838961E+01

  global error =        0.9402306E-02 iter. number =   200 denomin. =        0.1002774E+02

  global error =        0.4841073E-02 iter. number =   300 denomin. =        0.8745517E+01

  global error =        0.2932314E-02 iter. number =   400 denomin. =        0.8521244E+01

  global error =        0.1745540E-02 iter. number =   500 denomin. =        0.8928355E+01

  global error =        0.1402924E-02 iter. number =   600 denomin. =        0.8303252E+01

  global error =        0.1091790E-02 iter. number =   700 denomin. =        0.8207910E+01

  global error =        0.9838865E-03 iter. number =   800 denomin. =        0.8225611E+01

  global error =        0.8808798E-03 iter. number =   900 denomin. =        0.8206289E+01

  global error =        0.8132600E-03 iter. number =  1000 denomin. =        0.8270243E+01

  global error =        0.7563660E-03 iter. number =  1100 denomin. =        0.8284611E+01

  global error =        0.7080484E-03 iter. number =  1200 denomin. =        0.8273272E+01

  global error =        0.6631343E-03 iter. number =  1300 denomin. =        0.8270979E+01

  global error =        0.6209005E-03 iter. number =  1400 denomin. =        0.8264848E+01

  global error =        0.5818117E-03 iter. number =  1500 denomin. =        0.8262625E+01

  global error =        0.5460701E-03 iter. number =  1600 denomin. =        0.8264164E+01

  global error =        0.5123266E-03 iter. number =  1700 denomin. =        0.8264271E+01

  global error =        0.4805929E-03 iter. number =  1800 denomin. =        0.8263970E+01

  global error =        0.4521468E-03 iter. number =  1900 denomin. =        0.8264036E+01

  global error =        0.4237370E-03 iter. number =  2000 denomin. =        0.8263539E+01

  global error =        0.3978417E-03 iter. number =  2100 denomin. =        0.8263316E+01

  global error =        0.3747250E-03 iter. number =  2200 denomin. =        0.8263208E+01

  global error =        0.3526873E-03 iter. number =  2300 denomin. =        0.8263357E+01

  global error =        0.3322042E-03 iter. number =  2400 denomin. =        0.8263637E+01

  global error =        0.3124570E-03 iter. number =  2500 denomin. =        0.8263588E+01

  global error =        0.2944501E-03 iter. number =  2600 denomin. =        0.8263748E+01

  global error =        0.2782835E-03 iter. number =  2700 denomin. =        0.8263976E+01

  global error =        0.2627007E-03 iter. number =  2800 denomin. =        0.8263956E+01

  global error =        0.2475019E-03 iter. number =  2900 denomin. =        0.8263996E+01

  global error =        0.2330267E-03 iter. number =  3000 denomin. =        0.8264096E+01

  global error =        0.2194920E-03 iter. number =  3100 denomin. =        0.8264244E+01

  global error =        0.2069140E-03 iter. number =  3200 denomin. =        0.8264256E+01

  global error =        0.1957090E-03 iter. number =  3300 denomin. =        0.8264227E+01

  global error =        0.1848330E-03 iter. number =  3400 denomin. =        0.8264282E+01

  global error =        0.1742934E-03 iter. number =  3500 denomin. =        0.8264236E+01

  global error =        0.1641023E-03 iter. number =  3600 denomin. =        0.8264249E+01

  global error =        0.1546006E-03 iter. number =  3700 denomin. =        0.8264180E+01

  global error =        0.1462010E-03 iter. number =  3800 denomin. =        0.8264088E+01

  global error =        0.1385251E-03 iter. number =  3900 denomin. =        0.8264074E+01

  global error =        0.1310533E-03 iter. number =  4000 denomin. =        0.8263981E+01

  NO convergence  for freq. #    49 after   4001 inner iterations 
 relative error value reduction =       0.13105329E-03


  frequency number    48 frequency :       0.61750000E+00
 jw  real sour, imag sour =     48     -0.39437E+00     -0.31299E+00

  global error =        0.1404168E-01 iter. number =   100 denomin. =        0.9418228E+01

  global error =        0.9275473E-02 iter. number =   200 denomin. =        0.9014573E+01

  global error =        0.4273504E-02 iter. number =   300 denomin. =        0.6670743E+01

  global error =        0.2247056E-02 iter. number =   400 denomin. =        0.6856322E+01

  global error =        0.1228132E-02 iter. number =   500 denomin. =        0.7204299E+01

  global error =        0.1011325E-02 iter. number =   600 denomin. =        0.6905007E+01

  global error =        0.8980795E-03 iter. number =   700 denomin. =        0.6652069E+01

  global error =        0.7892804E-03 iter. number =   800 denomin. =        0.6583114E+01

  global error =        0.6757033E-03 iter. number =   900 denomin. =        0.6599396E+01

  global error =        0.5847226E-03 iter. number =  1000 denomin. =        0.6631873E+01

  global error =        0.5236231E-03 iter. number =  1100 denomin. =        0.6657027E+01

  global error =        0.4753020E-03 iter. number =  1200 denomin. =        0.6666522E+01

  global error =        0.4279081E-03 iter. number =  1300 denomin. =        0.6663893E+01

  global error =        0.3815464E-03 iter. number =  1400 denomin. =        0.6657641E+01

  global error =        0.3380883E-03 iter. number =  1500 denomin. =        0.6653375E+01

  global error =        0.3055002E-03 iter. number =  1600 denomin. =        0.6651915E+01

  global error =        0.2792798E-03 iter. number =  1700 denomin. =        0.6652566E+01

  global error =        0.2500456E-03 iter. number =  1800 denomin. =        0.6653410E+01

  global error =        0.2224220E-03 iter. number =  1900 denomin. =        0.6654257E+01

  global error =        0.1991905E-03 iter. number =  2000 denomin. =        0.6654715E+01

  global error =        0.1794509E-03 iter. number =  2100 denomin. =        0.6654725E+01

  global error =        0.1640318E-03 iter. number =  2200 denomin. =        0.6654581E+01

  global error =        0.1516026E-03 iter. number =  2300 denomin. =        0.6654511E+01

  global error =        0.1386543E-03 iter. number =  2400 denomin. =        0.6654489E+01

  global error =        0.1241298E-03 iter. number =  2500 denomin. =        0.6654482E+01

  global error =        0.1123834E-03 iter. number =  2600 denomin. =        0.6654508E+01

  global error =        0.1036418E-03 iter. number =  2700 denomin. =        0.6654537E+01

  convergence  for freq. #    48 achieved in  2747 inner iterations 
 relative error value =       0.99991704E-04


  frequency number    47 frequency :       0.60450000E+00
 jw  real sour, imag sour =     47     -0.36355E+00     -0.34274E+00

  global error =        0.1258661E-01 iter. number =   100 denomin. =        0.7881856E+01

  global error =        0.7997927E-02 iter. number =   200 denomin. =        0.9194521E+01

  global error =        0.3512527E-02 iter. number =   300 denomin. =        0.1015965E+02

  global error =        0.1880362E-02 iter. number =   400 denomin. =        0.1137430E+02

  global error =        0.1182860E-02 iter. number =   500 denomin. =        0.1271426E+02

  global error =        0.6781260E-03 iter. number =   600 denomin. =        0.1331735E+02

  global error =        0.4557878E-03 iter. number =   700 denomin. =        0.1335078E+02

  global error =        0.3757712E-03 iter. number =   800 denomin. =        0.1336835E+02

  global error =        0.3028568E-03 iter. number =   900 denomin. =        0.1339138E+02

  global error =        0.2658813E-03 iter. number =  1000 denomin. =        0.1335259E+02

  global error =        0.2334152E-03 iter. number =  1100 denomin. =        0.1330928E+02

  global error =        0.2095894E-03 iter. number =  1200 denomin. =        0.1329335E+02

  global error =        0.1905239E-03 iter. number =  1300 denomin. =        0.1328302E+02

  global error =        0.1737772E-03 iter. number =  1400 denomin. =        0.1327364E+02

  global error =        0.1575723E-03 iter. number =  1500 denomin. =        0.1327093E+02

  global error =        0.1454554E-03 iter. number =  1600 denomin. =        0.1327065E+02

  global error =        0.1348589E-03 iter. number =  1700 denomin. =        0.1327045E+02

  global error =        0.1242573E-03 iter. number =  1800 denomin. =        0.1327049E+02

  global error =        0.1143283E-03 iter. number =  1900 denomin. =        0.1327039E+02

  global error =        0.1077182E-03 iter. number =  2000 denomin. =        0.1327057E+02

  global error =        0.1002708E-03 iter. number =  2100 denomin. =        0.1327065E+02

  convergence  for freq. #    47 achieved in  2104 inner iterations 
 relative error value =       0.99974463E-04


  frequency number    46 frequency :       0.59150000E+00
 jw  real sour, imag sour =     46     -0.33031E+00     -0.36927E+00

  global error =        0.1548237E-01 iter. number =   100 denomin. =        0.1413770E+02

  global error =        0.1173575E-01 iter. number =   200 denomin. =        0.1256536E+02

  global error =        0.6943257E-02 iter. number =   300 denomin. =        0.9656978E+01

  global error =        0.4327904E-02 iter. number =   400 denomin. =        0.1065064E+02

  global error =        0.2624077E-02 iter. number =   500 denomin. =        0.1137978E+02

  global error =        0.1732893E-02 iter. number =   600 denomin. =        0.1043252E+02

  global error =        0.1124336E-02 iter. number =   700 denomin. =        0.1070816E+02

  global error =        0.7785167E-03 iter. number =   800 denomin. =        0.1076281E+02

  global error =        0.5784873E-03 iter. number =   900 denomin. =        0.1058125E+02

  global error =        0.4597923E-03 iter. number =  1000 denomin. =        0.1068781E+02

  global error =        0.3874259E-03 iter. number =  1100 denomin. =        0.1067387E+02

  global error =        0.3390077E-03 iter. number =  1200 denomin. =        0.1064321E+02

  global error =        0.3061922E-03 iter. number =  1300 denomin. =        0.1067027E+02

  global error =        0.2785493E-03 iter. number =  1400 denomin. =        0.1066111E+02

  global error =        0.2538070E-03 iter. number =  1500 denomin. =        0.1065775E+02

  global error =        0.2327383E-03 iter. number =  1600 denomin. =        0.1066339E+02

  global error =        0.2122120E-03 iter. number =  1700 denomin. =        0.1065990E+02

  global error =        0.1935264E-03 iter. number =  1800 denomin. =        0.1065966E+02

  global error =        0.1765993E-03 iter. number =  1900 denomin. =        0.1066073E+02

  global error =        0.1621304E-03 iter. number =  2000 denomin. =        0.1065984E+02

  global error =        0.1496329E-03 iter. number =  2100 denomin. =        0.1065994E+02

  global error =        0.1385781E-03 iter. number =  2200 denomin. =        0.1065999E+02

  global error =        0.1286761E-03 iter. number =  2300 denomin. =        0.1065979E+02

  global error =        0.1190628E-03 iter. number =  2400 denomin. =        0.1066003E+02

  global error =        0.1097710E-03 iter. number =  2500 denomin. =        0.1066013E+02

  global error =        0.1016100E-03 iter. number =  2600 denomin. =        0.1066012E+02

  convergence  for freq. #    46 achieved in  2621 inner iterations 
 relative error value =       0.99950714E-04


  frequency number    45 frequency :       0.57850000E+00
 jw  real sour, imag sour =     45     -0.29501E+00     -0.39238E+00

  global error =        0.1389634E-01 iter. number =   100 denomin. =        0.1142272E+02

  global error =        0.9834391E-02 iter. number =   200 denomin. =        0.1209542E+02

  global error =        0.5108389E-02 iter. number =   300 denomin. =        0.1119608E+02

  global error =        0.2711729E-02 iter. number =   400 denomin. =        0.1112648E+02

  global error =        0.1542536E-02 iter. number =   500 denomin. =        0.1203097E+02

  global error =        0.8422487E-03 iter. number =   600 denomin. =        0.1187557E+02

  global error =        0.5882466E-03 iter. number =   700 denomin. =        0.1175278E+02

  global error =        0.3998477E-03 iter. number =   800 denomin. =        0.1174483E+02

  global error =        0.3214626E-03 iter. number =   900 denomin. =        0.1163519E+02

  global error =        0.2646923E-03 iter. number =  1000 denomin. =        0.1162036E+02

  global error =        0.2254518E-03 iter. number =  1100 denomin. =        0.1162887E+02

  global error =        0.1943351E-03 iter. number =  1200 denomin. =        0.1162277E+02

  global error =        0.1702369E-03 iter. number =  1300 denomin. =        0.1163109E+02

  global error =        0.1512973E-03 iter. number =  1400 denomin. =        0.1163437E+02

  global error =        0.1378371E-03 iter. number =  1500 denomin. =        0.1163359E+02

  global error =        0.1255575E-03 iter. number =  1600 denomin. =        0.1163417E+02

  global error =        0.1148502E-03 iter. number =  1700 denomin. =        0.1163352E+02

  global error =        0.1042933E-03 iter. number =  1800 denomin. =        0.1163293E+02

  convergence  for freq. #    45 achieved in  1838 inner iterations 
 relative error value =       0.99972232E-04


  frequency number    44 frequency :       0.56550000E+00
 jw  real sour, imag sour =     44     -0.25801E+00     -0.41190E+00

  global error =        0.1538048E-01 iter. number =   100 denomin. =        0.1175521E+02

  global error =        0.1019314E-01 iter. number =   200 denomin. =        0.8711520E+01

  global error =        0.4713354E-02 iter. number =   300 denomin. =        0.7332455E+01

  global error =        0.1876637E-02 iter. number =   400 denomin. =        0.9128943E+01

  global error =        0.8609853E-03 iter. number =   500 denomin. =        0.9283464E+01

  global error =        0.6186569E-03 iter. number =   600 denomin. =        0.9120178E+01

  global error =        0.4463772E-03 iter. number =   700 denomin. =        0.8867504E+01

  global error =        0.3512798E-03 iter. number =   800 denomin. =        0.8661204E+01

  global error =        0.2948906E-03 iter. number =   900 denomin. =        0.8552166E+01

  global error =        0.2525698E-03 iter. number =  1000 denomin. =        0.8533933E+01

  global error =        0.2168042E-03 iter. number =  1100 denomin. =        0.8553599E+01

  global error =        0.1851664E-03 iter. number =  1200 denomin. =        0.8581539E+01

  global error =        0.1632173E-03 iter. number =  1300 denomin. =        0.8601658E+01

  global error =        0.1441187E-03 iter. number =  1400 denomin. =        0.8609939E+01

  global error =        0.1257622E-03 iter. number =  1500 denomin. =        0.8610315E+01

  global error =        0.1094089E-03 iter. number =  1600 denomin. =        0.8607686E+01

  convergence  for freq. #    44 achieved in  1680 inner iterations 
 relative error value =       0.99942462E-04


  frequency number    43 frequency :       0.55250000E+00
 jw  real sour, imag sour =     43     -0.21968E+00     -0.42769E+00

  global error =        0.1386136E-01 iter. number =   100 denomin. =        0.9922422E+01

  global error =        0.9340251E-02 iter. number =   200 denomin. =        0.1048612E+02

  global error =        0.4142266E-02 iter. number =   300 denomin. =        0.1078980E+02

  global error =        0.2081469E-02 iter. number =   400 denomin. =        0.1273915E+02

  global error =        0.1239857E-02 iter. number =   500 denomin. =        0.1474368E+02

  global error =        0.6596546E-03 iter. number =   600 denomin. =        0.1573866E+02

  global error =        0.3921084E-03 iter. number =   700 denomin. =        0.1627011E+02

  global error =        0.2989767E-03 iter. number =   800 denomin. =        0.1670426E+02

  global error =        0.2165990E-03 iter. number =   900 denomin. =        0.1696254E+02

  global error =        0.1730090E-03 iter. number =  1000 denomin. =        0.1708343E+02

  global error =        0.1482964E-03 iter. number =  1100 denomin. =        0.1716864E+02

  global error =        0.1229441E-03 iter. number =  1200 denomin. =        0.1722122E+02

  global error =        0.1011850E-03 iter. number =  1300 denomin. =        0.1724797E+02

  convergence  for freq. #    43 achieved in  1308 inner iterations 
 relative error value =       0.99846604E-04


  frequency number    42 frequency :       0.53950000E+00
 jw  real sour, imag sour =     42     -0.18043E+00     -0.43966E+00

  global error =        0.1644460E-01 iter. number =   100 denomin. =        0.1638392E+02

  global error =        0.1220949E-01 iter. number =   200 denomin. =        0.1233687E+02

  global error =        0.6104197E-02 iter. number =   300 denomin. =        0.1195293E+02

  global error =        0.3503309E-02 iter. number =   400 denomin. =        0.1461266E+02

  global error =        0.1914303E-02 iter. number =   500 denomin. =        0.1505107E+02

  global error =        0.1166583E-02 iter. number =   600 denomin. =        0.1513845E+02

  global error =        0.7139241E-03 iter. number =   700 denomin. =        0.1542543E+02

  global error =        0.4586135E-03 iter. number =   800 denomin. =        0.1525534E+02

  global error =        0.3087922E-03 iter. number =   900 denomin. =        0.1530933E+02

  global error =        0.2274099E-03 iter. number =  1000 denomin. =        0.1528333E+02

  global error =        0.1781749E-03 iter. number =  1100 denomin. =        0.1526441E+02

  global error =        0.1429619E-03 iter. number =  1200 denomin. =        0.1527845E+02

  global error =        0.1171400E-03 iter. number =  1300 denomin. =        0.1526607E+02

  global error =        0.1000149E-03 iter. number =  1400 denomin. =        0.1527157E+02

  convergence  for freq. #    42 achieved in  1401 inner iterations 
 relative error value =       0.99872247E-04


  frequency number    41 frequency :       0.52650000E+00
 jw  real sour, imag sour =     41     -0.14064E+00     -0.44776E+00

  global error =        0.1608288E-01 iter. number =   100 denomin. =        0.1494019E+02

  global error =        0.1253297E-01 iter. number =   200 denomin. =        0.1235736E+02

  global error =        0.5786189E-02 iter. number =   300 denomin. =        0.1102555E+02

  global error =        0.3152735E-02 iter. number =   400 denomin. =        0.1241502E+02

  global error =        0.1827411E-02 iter. number =   500 denomin. =        0.1303201E+02

  global error =        0.1117332E-02 iter. number =   600 denomin. =        0.1333712E+02

  global error =        0.6765985E-03 iter. number =   700 denomin. =        0.1357325E+02

  global error =        0.4179510E-03 iter. number =   800 denomin. =        0.1355800E+02

  global error =        0.2808347E-03 iter. number =   900 denomin. =        0.1361628E+02

  global error =        0.2038297E-03 iter. number =  1000 denomin. =        0.1360238E+02

  global error =        0.1576715E-03 iter. number =  1100 denomin. =        0.1361078E+02

  global error =        0.1293063E-03 iter. number =  1200 denomin. =        0.1361116E+02

  global error =        0.1085523E-03 iter. number =  1300 denomin. =        0.1360936E+02

  convergence  for freq. #    41 achieved in  1355 inner iterations 
 relative error value =       0.99890396E-04


  frequency number    40 frequency :       0.51350000E+00
 jw  real sour, imag sour =     40     -0.10072E+00     -0.45199E+00

  global error =        0.1544089E-01 iter. number =   100 denomin. =        0.1220965E+02

  global error =        0.9373786E-02 iter. number =   200 denomin. =        0.9535099E+01

  global error =        0.3465118E-02 iter. number =   300 denomin. =        0.1044361E+02

  global error =        0.1679836E-02 iter. number =   400 denomin. =        0.1261140E+02

  global error =        0.7620467E-03 iter. number =   500 denomin. =        0.1375300E+02

  global error =        0.4982977E-03 iter. number =   600 denomin. =        0.1470961E+02

  global error =        0.3372428E-03 iter. number =   700 denomin. =        0.1526821E+02

  global error =        0.2545583E-03 iter. number =   800 denomin. =        0.1562880E+02

  global error =        0.1997910E-03 iter. number =   900 denomin. =        0.1584051E+02

  global error =        0.1655285E-03 iter. number =  1000 denomin. =        0.1597539E+02

  global error =        0.1460648E-03 iter. number =  1100 denomin. =        0.1605215E+02

  global error =        0.1281828E-03 iter. number =  1200 denomin. =        0.1609946E+02

  global error =        0.1134567E-03 iter. number =  1300 denomin. =        0.1612723E+02

  global error =        0.1016121E-03 iter. number =  1400 denomin. =        0.1614364E+02

  convergence  for freq. #    40 achieved in  1415 inner iterations 
 relative error value =       0.99932104E-04


  frequency number    39 frequency :       0.50050000E+00
 jw  real sour, imag sour =     39     -0.61063E-01     -0.45238E+00

  global error =        0.1651762E-01 iter. number =   100 denomin. =        0.1393230E+02

  global error =        0.1025555E-01 iter. number =   200 denomin. =        0.1081784E+02

  global error =        0.4175099E-02 iter. number =   300 denomin. =        0.1244280E+02

  global error =        0.2458660E-02 iter. number =   400 denomin. =        0.1528779E+02

  global error =        0.9579849E-03 iter. number =   500 denomin. =        0.1599920E+02

  global error =        0.6947944E-03 iter. number =   600 denomin. =        0.1639008E+02

  global error =        0.4335851E-03 iter. number =   700 denomin. =        0.1631487E+02

  global error =        0.3118700E-03 iter. number =   800 denomin. =        0.1610676E+02

  global error =        0.2445449E-03 iter. number =   900 denomin. =        0.1589172E+02

  global error =        0.1960085E-03 iter. number =  1000 denomin. =        0.1570434E+02

  global error =        0.1679491E-03 iter. number =  1100 denomin. =        0.1557575E+02

  global error =        0.1453601E-03 iter. number =  1200 denomin. =        0.1549098E+02

  global error =        0.1264808E-03 iter. number =  1300 denomin. =        0.1544354E+02

  global error =        0.1105718E-03 iter. number =  1400 denomin. =        0.1541908E+02

  convergence  for freq. #    39 achieved in  1480 inner iterations 
 relative error value =       0.99985880E-04


  frequency number    38 frequency :       0.48750000E+00
 jw  real sour, imag sour =     38     -0.22058E-01     -0.44900E+00

  global error =        0.1554632E-01 iter. number =   100 denomin. =        0.1387478E+02

  global error =        0.9714845E-02 iter. number =   200 denomin. =        0.1229117E+02

  global error =        0.4544012E-02 iter. number =   300 denomin. =        0.1461328E+02

  global error =        0.2855499E-02 iter. number =   400 denomin. =        0.1582082E+02

  global error =        0.1234912E-02 iter. number =   500 denomin. =        0.1542063E+02

  global error =        0.6927646E-03 iter. number =   600 denomin. =        0.1488155E+02

  global error =        0.4530957E-03 iter. number =   700 denomin. =        0.1447905E+02

  global error =        0.2632418E-03 iter. number =   800 denomin. =        0.1433391E+02

  global error =        0.2038825E-03 iter. number =   900 denomin. =        0.1434848E+02

  global error =        0.1681255E-03 iter. number =  1000 denomin. =        0.1438519E+02

  global error =        0.1385585E-03 iter. number =  1100 denomin. =        0.1441806E+02

  global error =        0.1223260E-03 iter. number =  1200 denomin. =        0.1442722E+02

  global error =        0.1108410E-03 iter. number =  1300 denomin. =        0.1442764E+02

  global error =        0.1001018E-03 iter. number =  1400 denomin. =        0.1442431E+02

  convergence  for freq. #    38 achieved in  1401 inner iterations 
 relative error value =       0.99982765E-04


  frequency number    37 frequency :       0.47450000E+00
 jw  real sour, imag sour =     37      0.15917E-01     -0.44198E+00

  global error =        0.1444921E-01 iter. number =   100 denomin. =        0.1370726E+02

  global error =        0.8538053E-02 iter. number =   200 denomin. =        0.1393060E+02

  global error =        0.3518822E-02 iter. number =   300 denomin. =        0.1460547E+02

  global error =        0.2168494E-02 iter. number =   400 denomin. =        0.1380488E+02

  global error =        0.9991687E-03 iter. number =   500 denomin. =        0.1265879E+02

  global error =        0.6804295E-03 iter. number =   600 denomin. =        0.1207464E+02

  global error =        0.4319494E-03 iter. number =   700 denomin. =        0.1163881E+02

  global error =        0.3258046E-03 iter. number =   800 denomin. =        0.1146331E+02

  global error =        0.2518491E-03 iter. number =   900 denomin. =        0.1140946E+02

  global error =        0.2126484E-03 iter. number =  1000 denomin. =        0.1141392E+02

  global error =        0.1833853E-03 iter. number =  1100 denomin. =        0.1143122E+02

  global error =        0.1565915E-03 iter. number =  1200 denomin. =        0.1144447E+02

  global error =        0.1374934E-03 iter. number =  1300 denomin. =        0.1145209E+02

  global error =        0.1236660E-03 iter. number =  1400 denomin. =        0.1145467E+02

  global error =        0.1118983E-03 iter. number =  1500 denomin. =        0.1145574E+02

  global error =        0.1018379E-03 iter. number =  1600 denomin. =        0.1145530E+02

  convergence  for freq. #    37 achieved in  1624 inner iterations 
 relative error value =       0.99994228E-04


  frequency number    36 frequency :       0.46150000E+00
 jw  real sour, imag sour =     36      0.52501E-01     -0.43148E+00

  global error =        0.1409569E-01 iter. number =   100 denomin. =        0.1010137E+02

  global error =        0.7234227E-02 iter. number =   200 denomin. =        0.1050190E+02

  global error =        0.2343237E-02 iter. number =   300 denomin. =        0.1018859E+02

  global error =        0.1313262E-02 iter. number =   400 denomin. =        0.9157335E+01

  global error =        0.9020704E-03 iter. number =   500 denomin. =        0.8532853E+01

  global error =        0.5754578E-03 iter. number =   600 denomin. =        0.8403030E+01

  global error =        0.4648928E-03 iter. number =   700 denomin. =        0.8435844E+01

  global error =        0.3988874E-03 iter. number =   800 denomin. =        0.8408136E+01

  global error =        0.3557534E-03 iter. number =   900 denomin. =        0.8381134E+01

  global error =        0.3254175E-03 iter. number =  1000 denomin. =        0.8379514E+01

  global error =        0.2959912E-03 iter. number =  1100 denomin. =        0.8385650E+01

  global error =        0.2658521E-03 iter. number =  1200 denomin. =        0.8388171E+01

  global error =        0.2424344E-03 iter. number =  1300 denomin. =        0.8387682E+01

  global error =        0.2245939E-03 iter. number =  1400 denomin. =        0.8387793E+01

  global error =        0.2084869E-03 iter. number =  1500 denomin. =        0.8388677E+01

  global error =        0.1950357E-03 iter. number =  1600 denomin. =        0.8389179E+01

  global error =        0.1816918E-03 iter. number =  1700 denomin. =        0.8389222E+01

  global error =        0.1678431E-03 iter. number =  1800 denomin. =        0.8389361E+01

  global error =        0.1567623E-03 iter. number =  1900 denomin. =        0.8389495E+01

  global error =        0.1472626E-03 iter. number =  2000 denomin. =        0.8389615E+01

  global error =        0.1368700E-03 iter. number =  2100 denomin. =        0.8389745E+01

  global error =        0.1281733E-03 iter. number =  2200 denomin. =        0.8389912E+01

  global error =        0.1200424E-03 iter. number =  2300 denomin. =        0.8389977E+01

  global error =        0.1117817E-03 iter. number =  2400 denomin. =        0.8390066E+01

  global error =        0.1058989E-03 iter. number =  2500 denomin. =        0.8390119E+01

  global error =        0.1004736E-03 iter. number =  2600 denomin. =        0.8390176E+01

  convergence  for freq. #    36 achieved in  2608 inner iterations 
 relative error value =       0.99994355E-04


  frequency number    35 frequency :       0.44850000E+00
 jw  real sour, imag sour =     35      0.87353E-01     -0.41768E+00

  global error =        0.1348022E-01 iter. number =   100 denomin. =        0.9201723E+01

  global error =        0.6464895E-02 iter. number =   200 denomin. =        0.1113024E+02

  global error =        0.3810566E-02 iter. number =   300 denomin. =        0.1182930E+02

  global error =        0.2319365E-02 iter. number =   400 denomin. =        0.1010077E+02

  global error =        0.1610712E-02 iter. number =   500 denomin. =        0.8570683E+01

  global error =        0.1130735E-02 iter. number =   600 denomin. =        0.8414330E+01

  global error =        0.7593826E-03 iter. number =   700 denomin. =        0.8853626E+01

  global error =        0.5964662E-03 iter. number =   800 denomin. =        0.9063483E+01

  global error =        0.4896299E-03 iter. number =   900 denomin. =        0.9008689E+01

  global error =        0.4160954E-03 iter. number =  1000 denomin. =        0.8903515E+01

  global error =        0.3713606E-03 iter. number =  1100 denomin. =        0.8869584E+01

  global error =        0.3324820E-03 iter. number =  1200 denomin. =        0.8889396E+01

  global error =        0.2985503E-03 iter. number =  1300 denomin. =        0.8912360E+01

  global error =        0.2713861E-03 iter. number =  1400 denomin. =        0.8917333E+01

  global error =        0.2450798E-03 iter. number =  1500 denomin. =        0.8911478E+01

  global error =        0.2225989E-03 iter. number =  1600 denomin. =        0.8906939E+01

  global error =        0.2027590E-03 iter. number =  1700 denomin. =        0.8906990E+01

  global error =        0.1840579E-03 iter. number =  1800 denomin. =        0.8908815E+01

  global error =        0.1671049E-03 iter. number =  1900 denomin. =        0.8909852E+01

  global error =        0.1517438E-03 iter. number =  2000 denomin. =        0.8909988E+01

  global error =        0.1396631E-03 iter. number =  2100 denomin. =        0.8909733E+01

  global error =        0.1305212E-03 iter. number =  2200 denomin. =        0.8909724E+01

  global error =        0.1198897E-03 iter. number =  2300 denomin. =        0.8909858E+01

  global error =        0.1089338E-03 iter. number =  2400 denomin. =        0.8909934E+01

  convergence  for freq. #    35 achieved in  2483 inner iterations 
 relative error value =       0.99984348E-04


  frequency number    34 frequency :       0.43550000E+00
 jw  real sour, imag sour =     34      0.12016E+00     -0.40083E+00

  global error =        0.1235440E-01 iter. number =   100 denomin. =        0.1013658E+02

  global error =        0.7595308E-02 iter. number =   200 denomin. =        0.1257608E+02

  global error =        0.5228459E-02 iter. number =   300 denomin. =        0.1405600E+02

  global error =        0.2635372E-02 iter. number =   400 denomin. =        0.1289985E+02

  global error =        0.1770575E-02 iter. number =   500 denomin. =        0.1152915E+02

  global error =        0.1034166E-02 iter. number =   600 denomin. =        0.1119525E+02

  global error =        0.7270412E-03 iter. number =   700 denomin. =        0.1144392E+02

  global error =        0.5408191E-03 iter. number =   800 denomin. =        0.1152611E+02

  global error =        0.4252404E-03 iter. number =   900 denomin. =        0.1142832E+02

  global error =        0.3550249E-03 iter. number =  1000 denomin. =        0.1137598E+02

  global error =        0.3014041E-03 iter. number =  1100 denomin. =        0.1139458E+02

  global error =        0.2579232E-03 iter. number =  1200 denomin. =        0.1141260E+02

  global error =        0.2234659E-03 iter. number =  1300 denomin. =        0.1140875E+02

  global error =        0.2009630E-03 iter. number =  1400 denomin. =        0.1140173E+02

  global error =        0.1807709E-03 iter. number =  1500 denomin. =        0.1140217E+02

  global error =        0.1539775E-03 iter. number =  1600 denomin. =        0.1140499E+02

  global error =        0.1318247E-03 iter. number =  1700 denomin. =        0.1140548E+02

  global error =        0.1105285E-03 iter. number =  1800 denomin. =        0.1140459E+02

  convergence  for freq. #    34 achieved in  1866 inner iterations 
 relative error value =       0.99938314E-04


  frequency number    33 frequency :       0.42250000E+00
 jw  real sour, imag sour =     33      0.15063E+00     -0.38117E+00

  global error =        0.1520933E-01 iter. number =   100 denomin. =        0.1281159E+02

  global error =        0.1059884E-01 iter. number =   200 denomin. =        0.1376365E+02

  global error =        0.7215383E-02 iter. number =   300 denomin. =        0.9351043E+01

  global error =        0.4140639E-02 iter. number =   400 denomin. =        0.6144184E+01

  global error =        0.1516104E-02 iter. number =   500 denomin. =        0.6715292E+01

  global error =        0.9158436E-03 iter. number =   600 denomin. =        0.6809217E+01

  global error =        0.6642324E-03 iter. number =   700 denomin. =        0.6844842E+01

  global error =        0.5015965E-03 iter. number =   800 denomin. =        0.6880289E+01

  global error =        0.4177138E-03 iter. number =   900 denomin. =        0.6803631E+01

  global error =        0.3498266E-03 iter. number =  1000 denomin. =        0.6806771E+01

  global error =        0.2921504E-03 iter. number =  1100 denomin. =        0.6823794E+01

  global error =        0.2231651E-03 iter. number =  1200 denomin. =        0.6821706E+01

  global error =        0.1741939E-03 iter. number =  1300 denomin. =        0.6821261E+01

  global error =        0.1473991E-03 iter. number =  1400 denomin. =        0.6819831E+01

  global error =        0.1296428E-03 iter. number =  1500 denomin. =        0.6819498E+01

  global error =        0.1133376E-03 iter. number =  1600 denomin. =        0.6820432E+01

  global error =        0.1013424E-03 iter. number =  1700 denomin. =        0.6820347E+01

  convergence  for freq. #    33 achieved in  1714 inner iterations 
 relative error value =       0.99924359E-04


  frequency number    32 frequency :       0.40950000E+00
 jw  real sour, imag sour =     32      0.17851E+00     -0.35901E+00

  global error =        0.1366798E-01 iter. number =   100 denomin. =        0.7801579E+01

  global error =        0.8509217E-02 iter. number =   200 denomin. =        0.9118785E+01

  global error =        0.3829249E-02 iter. number =   300 denomin. =        0.8804180E+01

  global error =        0.1942192E-02 iter. number =   400 denomin. =        0.9122222E+01

  global error =        0.1182238E-02 iter. number =   500 denomin. =        0.9936546E+01

  global error =        0.6550165E-03 iter. number =   600 denomin. =        0.9921387E+01

  global error =        0.5265807E-03 iter. number =   700 denomin. =        0.9588661E+01

  global error =        0.3266114E-03 iter. number =   800 denomin. =        0.9498432E+01

  global error =        0.2468503E-03 iter. number =   900 denomin. =        0.9449650E+01

  global error =        0.1928930E-03 iter. number =  1000 denomin. =        0.9381246E+01

  global error =        0.1452898E-03 iter. number =  1100 denomin. =        0.9365937E+01

  global error =        0.1199487E-03 iter. number =  1200 denomin. =        0.9380618E+01

  global error =        0.1000765E-03 iter. number =  1300 denomin. =        0.9388976E+01

  convergence  for freq. #    32 achieved in  1301 inner iterations 
 relative error value =       0.99894741E-04


  frequency number    31 frequency :       0.39650000E+00
 jw  real sour, imag sour =     31      0.20358E+00     -0.33466E+00

  global error =        0.1582531E-01 iter. number =   100 denomin. =        0.9968016E+01

  global error =        0.9224735E-02 iter. number =   200 denomin. =        0.9153797E+01

  global error =        0.4218801E-02 iter. number =   300 denomin. =        0.9519867E+01

  global error =        0.2168280E-02 iter. number =   400 denomin. =        0.1206231E+02

  global error =        0.8864789E-03 iter. number =   500 denomin. =        0.1302107E+02

  global error =        0.5941348E-03 iter. number =   600 denomin. =        0.1342899E+02

  global error =        0.3530303E-03 iter. number =   700 denomin. =        0.1364626E+02

  global error =        0.2560060E-03 iter. number =   800 denomin. =        0.1366325E+02

  global error =        0.1657382E-03 iter. number =   900 denomin. =        0.1373535E+02

  global error =        0.1200225E-03 iter. number =  1000 denomin. =        0.1373637E+02

  convergence  for freq. #    31 achieved in  1070 inner iterations 
 relative error value =       0.99870781E-04


  frequency number    30 frequency :       0.38350000E+00
 jw  real sour, imag sour =     30      0.22565E+00     -0.30845E+00

  global error =        0.1648645E-01 iter. number =   100 denomin. =        0.1425996E+02

  global error =        0.1283969E-01 iter. number =   200 denomin. =        0.1314086E+02

  global error =        0.7022135E-02 iter. number =   300 denomin. =        0.1181066E+02

  global error =        0.3230318E-02 iter. number =   400 denomin. =        0.1300753E+02

  global error =        0.2123609E-02 iter. number =   500 denomin. =        0.1385708E+02

  global error =        0.1200853E-02 iter. number =   600 denomin. =        0.1427893E+02

  global error =        0.6971184E-03 iter. number =   700 denomin. =        0.1445551E+02

  global error =        0.4190312E-03 iter. number =   800 denomin. =        0.1464963E+02

  global error =        0.2508822E-03 iter. number =   900 denomin. =        0.1475047E+02

  global error =        0.1672882E-03 iter. number =  1000 denomin. =        0.1480456E+02

  global error =        0.1115874E-03 iter. number =  1100 denomin. =        0.1484073E+02

  convergence  for freq. #    30 achieved in  1128 inner iterations 
 relative error value =       0.99801157E-04


  frequency number    29 frequency :       0.37050000E+00
 jw  real sour, imag sour =     29      0.24458E+00     -0.28074E+00

  global error =        0.1712458E-01 iter. number =   100 denomin. =        0.1364905E+02

  global error =        0.1280200E-01 iter. number =   200 denomin. =        0.8989435E+01

  global error =        0.4529712E-02 iter. number =   300 denomin. =        0.8728283E+01

  global error =        0.2221507E-02 iter. number =   400 denomin. =        0.1036622E+02

  global error =        0.1480641E-02 iter. number =   500 denomin. =        0.1123349E+02

  global error =        0.9217272E-03 iter. number =   600 denomin. =        0.1175464E+02

  global error =        0.4875125E-03 iter. number =   700 denomin. =        0.1184572E+02

  global error =        0.3158494E-03 iter. number =   800 denomin. =        0.1190948E+02

  global error =        0.1862406E-03 iter. number =   900 denomin. =        0.1188653E+02

  global error =        0.1324416E-03 iter. number =  1000 denomin. =        0.1186002E+02

  convergence  for freq. #    29 achieved in  1075 inner iterations 
 relative error value =       0.99806702E-04


  frequency number    28 frequency :       0.35750000E+00
 jw  real sour, imag sour =     28      0.26027E+00     -0.25189E+00

  global error =        0.1701299E-01 iter. number =   100 denomin. =        0.1016738E+02

  global error =        0.1087030E-01 iter. number =   200 denomin. =        0.9185916E+01

  global error =        0.4206698E-02 iter. number =   300 denomin. =        0.8542921E+01

  global error =        0.2431802E-02 iter. number =   400 denomin. =        0.7638028E+01

  global error =        0.1387873E-02 iter. number =   500 denomin. =        0.6984531E+01

  global error =        0.7324951E-03 iter. number =   600 denomin. =        0.6866009E+01

  global error =        0.3941015E-03 iter. number =   700 denomin. =        0.6993806E+01

  global error =        0.2489287E-03 iter. number =   800 denomin. =        0.7025381E+01

  global error =        0.1724006E-03 iter. number =   900 denomin. =        0.7037547E+01

  global error =        0.1151618E-03 iter. number =  1000 denomin. =        0.7017106E+01

  convergence  for freq. #    28 achieved in  1039 inner iterations 
 relative error value =       0.99791635E-04


  frequency number    27 frequency :       0.34450000E+00
 jw  real sour, imag sour =     27      0.27265E+00     -0.22227E+00

  global error =        0.1444309E-01 iter. number =   100 denomin. =        0.7117151E+01

  global error =        0.6624868E-02 iter. number =   200 denomin. =        0.8080293E+01

  global error =        0.4147445E-02 iter. number =   300 denomin. =        0.9521637E+01

  global error =        0.1918156E-02 iter. number =   400 denomin. =        0.9625553E+01

  global error =        0.1182294E-02 iter. number =   500 denomin. =        0.8875713E+01

  global error =        0.8178027E-03 iter. number =   600 denomin. =        0.8247275E+01

  global error =        0.3988363E-03 iter. number =   700 denomin. =        0.8188229E+01

  global error =        0.3107830E-03 iter. number =   800 denomin. =        0.8274350E+01

  global error =        0.1434760E-03 iter. number =   900 denomin. =        0.8386578E+01

  global error =        0.1088080E-03 iter. number =  1000 denomin. =        0.8420136E+01

  convergence  for freq. #    27 achieved in  1027 inner iterations 
 relative error value =       0.99594082E-04


  frequency number    26 frequency :       0.33150000E+00
 jw  real sour, imag sour =     26      0.28170E+00     -0.19225E+00

  global error =        0.1458630E-01 iter. number =   100 denomin. =        0.8859496E+01

  global error =        0.8914086E-02 iter. number =   200 denomin. =        0.9823995E+01

  global error =        0.6473331E-02 iter. number =   300 denomin. =        0.1052787E+02

  global error =        0.3081184E-02 iter. number =   400 denomin. =        0.8663845E+01

  global error =        0.1940707E-02 iter. number =   500 denomin. =        0.7249316E+01

  global error =        0.9111709E-03 iter. number =   600 denomin. =        0.6921151E+01

  global error =        0.4863882E-03 iter. number =   700 denomin. =        0.7005943E+01

  global error =        0.3665544E-03 iter. number =   800 denomin. =        0.6958697E+01

  global error =        0.1979319E-03 iter. number =   900 denomin. =        0.6889690E+01

  global error =        0.1371345E-03 iter. number =  1000 denomin. =        0.6900227E+01

  convergence  for freq. #    26 achieved in  1058 inner iterations 
 relative error value =       0.99940985E-04


  frequency number    25 frequency :       0.31850000E+00
 jw  real sour, imag sour =     25      0.28744E+00     -0.16221E+00

  global error =        0.1526793E-01 iter. number =   100 denomin. =        0.7452407E+01

  global error =        0.1102903E-01 iter. number =   200 denomin. =        0.8242504E+01

  global error =        0.7228480E-02 iter. number =   300 denomin. =        0.6665071E+01

  global error =        0.3850586E-02 iter. number =   400 denomin. =        0.4799097E+01

  global error =        0.1687862E-02 iter. number =   500 denomin. =        0.5119037E+01

  global error =        0.8838222E-03 iter. number =   600 denomin. =        0.5449905E+01

  global error =        0.5993319E-03 iter. number =   700 denomin. =        0.5352491E+01

  global error =        0.4073271E-03 iter. number =   800 denomin. =        0.5181428E+01

  global error =        0.2477115E-03 iter. number =   900 denomin. =        0.5156871E+01

  global error =        0.1408902E-03 iter. number =  1000 denomin. =        0.5207753E+01

  convergence  for freq. #    25 achieved in  1060 inner iterations 
 relative error value =       0.99604895E-04


  frequency number    24 frequency :       0.30550000E+00
 jw  real sour, imag sour =     24      0.28994E+00     -0.13252E+00

  global error =        0.1602299E-01 iter. number =   100 denomin. =        0.5966263E+01

  global error =        0.1122305E-01 iter. number =   200 denomin. =        0.5679234E+01

  global error =        0.6322676E-02 iter. number =   300 denomin. =        0.4943490E+01

  global error =        0.3766379E-02 iter. number =   400 denomin. =        0.5938055E+01

  global error =        0.2123038E-02 iter. number =   500 denomin. =        0.6391997E+01

  global error =        0.1533145E-02 iter. number =   600 denomin. =        0.5882762E+01

  global error =        0.9128522E-03 iter. number =   700 denomin. =        0.5969485E+01

  global error =        0.5766755E-03 iter. number =   800 denomin. =        0.5946421E+01

  global error =        0.3887013E-03 iter. number =   900 denomin. =        0.5791541E+01

  global error =        0.2353228E-03 iter. number =  1000 denomin. =        0.5818363E+01

  global error =        0.1578257E-03 iter. number =  1100 denomin. =        0.5821051E+01

  convergence  for freq. #    24 achieved in  1190 inner iterations 
 relative error value =       0.99868317E-04


  frequency number    23 frequency :       0.29250000E+00
 jw  real sour, imag sour =     23      0.28930E+00     -0.10351E+00

  global error =        0.1555336E-01 iter. number =   100 denomin. =        0.6314328E+01

  global error =        0.9221236E-02 iter. number =   200 denomin. =        0.6502003E+01

  global error =        0.3820085E-02 iter. number =   300 denomin. =        0.7021727E+01

  global error =        0.2320760E-02 iter. number =   400 denomin. =        0.8479502E+01

  global error =        0.9521485E-03 iter. number =   500 denomin. =        0.9241405E+01

  global error =        0.6489015E-03 iter. number =   600 denomin. =        0.9455333E+01

  global error =        0.3921999E-03 iter. number =   700 denomin. =        0.9465035E+01

  global error =        0.1921450E-03 iter. number =   800 denomin. =        0.9329550E+01

  global error =        0.1399154E-03 iter. number =   900 denomin. =        0.9288931E+01

  convergence  for freq. #    23 achieved in   965 inner iterations 
 relative error value =       0.99740353E-04


  frequency number    22 frequency :       0.27950000E+00
 jw  real sour, imag sour =     22      0.28567E+00     -0.75543E-01

  global error =        0.1838820E-01 iter. number =   100 denomin. =        0.8536567E+01

  global error =        0.1350106E-01 iter. number =   200 denomin. =        0.5533115E+01

  global error =        0.6495343E-02 iter. number =   300 denomin. =        0.5621001E+01

  global error =        0.2995677E-02 iter. number =   400 denomin. =        0.6406416E+01

  global error =        0.1349531E-02 iter. number =   500 denomin. =        0.7124771E+01

  global error =        0.6490030E-03 iter. number =   600 denomin. =        0.7762774E+01

  global error =        0.4835466E-03 iter. number =   700 denomin. =        0.8294716E+01

  global error =        0.2666096E-03 iter. number =   800 denomin. =        0.8607614E+01

  global error =        0.1728331E-03 iter. number =   900 denomin. =        0.8813271E+01

  global error =        0.1008609E-03 iter. number =  1000 denomin. =        0.8939469E+01

  convergence  for freq. #    22 achieved in  1003 inner iterations 
 relative error value =       0.99929540E-04


  frequency number    21 frequency :       0.26650000E+00
 jw  real sour, imag sour =     21      0.27921E+00     -0.48918E-01

  global error =        0.1814206E-01 iter. number =   100 denomin. =        0.8015948E+01

  global error =        0.1290048E-01 iter. number =   200 denomin. =        0.7032844E+01

  global error =        0.5683495E-02 iter. number =   300 denomin. =        0.6223562E+01

  global error =        0.3192364E-02 iter. number =   400 denomin. =        0.4305141E+01

  global error =        0.2836827E-02 iter. number =   500 denomin. =        0.3088692E+01

  global error =        0.2427401E-02 iter. number =   600 denomin. =        0.2460735E+01

  global error =        0.1641254E-02 iter. number =   700 denomin. =        0.2375232E+01

  global error =        0.9045384E-03 iter. number =   800 denomin. =        0.2664966E+01

  global error =        0.5960841E-03 iter. number =   900 denomin. =        0.2872781E+01

  global error =        0.4119213E-03 iter. number =  1000 denomin. =        0.2919472E+01

  global error =        0.2836961E-03 iter. number =  1100 denomin. =        0.2857064E+01

  global error =        0.1922165E-03 iter. number =  1200 denomin. =        0.2782197E+01

  global error =        0.1300405E-03 iter. number =  1300 denomin. =        0.2748941E+01

  convergence  for freq. #    21 achieved in  1372 inner iterations 
 relative error value =       0.99659736E-04


  frequency number    20 frequency :       0.25350000E+00
 jw  real sour, imag sour =     20      0.27014E+00     -0.23931E-01

  global error =        0.1396476E-01 iter. number =   100 denomin. =        0.3117319E+01

  global error =        0.7604306E-02 iter. number =   200 denomin. =        0.4106635E+01

  global error =        0.3710314E-02 iter. number =   300 denomin. =        0.4201664E+01

  global error =        0.2299837E-02 iter. number =   400 denomin. =        0.3739555E+01

  global error =        0.1576508E-02 iter. number =   500 denomin. =        0.3568407E+01

  global error =        0.7026428E-03 iter. number =   600 denomin. =        0.3740511E+01

  global error =        0.5451998E-03 iter. number =   700 denomin. =        0.3772705E+01

  global error =        0.3122370E-03 iter. number =   800 denomin. =        0.3678979E+01

  global error =        0.1803921E-03 iter. number =   900 denomin. =        0.3634852E+01

  global error =        0.1196378E-03 iter. number =  1000 denomin. =        0.3658545E+01

  convergence  for freq. #    20 achieved in  1045 inner iterations 
 relative error value =       0.99853488E-04


  frequency number    19 frequency :       0.24050000E+00
 jw  real sour, imag sour =     19      0.25871E+00     -0.84668E-03

  global error =        0.1557619E-01 iter. number =   100 denomin. =        0.3893067E+01

  global error =        0.8381562E-02 iter. number =   200 denomin. =        0.4149275E+01

  global error =        0.3976891E-02 iter. number =   300 denomin. =        0.4173877E+01

  global error =        0.1739162E-02 iter. number =   400 denomin. =        0.4600305E+01

  global error =        0.1138062E-02 iter. number =   500 denomin. =        0.4672575E+01

  global error =        0.6386081E-03 iter. number =   600 denomin. =        0.4596135E+01

  global error =        0.4040857E-03 iter. number =   700 denomin. =        0.4691237E+01

  global error =        0.2380589E-03 iter. number =   800 denomin. =        0.4702994E+01

  global error =        0.1380119E-03 iter. number =   900 denomin. =        0.4711689E+01

  convergence  for freq. #    19 achieved in   948 inner iterations 
 relative error value =       0.99665714E-04


  frequency number    18 frequency :       0.22750000E+00
 jw  real sour, imag sour =     18      0.24518E+00      0.20104E-01

  global error =        0.1646934E-01 iter. number =   100 denomin. =        0.5144000E+01

  global error =        0.1307056E-01 iter. number =   200 denomin. =        0.5114996E+01

  global error =        0.7924892E-02 iter. number =   300 denomin. =        0.4018601E+01

  global error =        0.3702289E-02 iter. number =   400 denomin. =        0.3669237E+01

  global error =        0.1919908E-02 iter. number =   500 denomin. =        0.3763872E+01

  global error =        0.1107170E-02 iter. number =   600 denomin. =        0.4027586E+01

  global error =        0.8736701E-03 iter. number =   700 denomin. =        0.4169506E+01

  global error =        0.4330512E-03 iter. number =   800 denomin. =        0.4249481E+01

  global error =        0.2764183E-03 iter. number =   900 denomin. =        0.4228066E+01

  global error =        0.1743779E-03 iter. number =  1000 denomin. =        0.4175268E+01

  global error =        0.1153881E-03 iter. number =  1100 denomin. =        0.4135755E+01

  convergence  for freq. #    18 achieved in  1129 inner iterations 
 relative error value =       0.99802399E-04


  frequency number    17 frequency :       0.21450000E+00
 jw  real sour, imag sour =     17      0.22985E+00      0.38722E-01

  global error =        0.1887581E-01 iter. number =   100 denomin. =        0.4218282E+01

  global error =        0.1615632E-01 iter. number =   200 denomin. =        0.2780536E+01

  global error =        0.8243984E-02 iter. number =   300 denomin. =        0.2577208E+01

  global error =        0.4391906E-02 iter. number =   400 denomin. =        0.3244549E+01

  global error =        0.2247329E-02 iter. number =   500 denomin. =        0.3720806E+01

  global error =        0.1071575E-02 iter. number =   600 denomin. =        0.3926405E+01

  global error =        0.7315985E-03 iter. number =   700 denomin. =        0.4082227E+01

  global error =        0.5553905E-03 iter. number =   800 denomin. =        0.4169980E+01

  global error =        0.2704424E-03 iter. number =   900 denomin. =        0.4168374E+01

  global error =        0.1856343E-03 iter. number =  1000 denomin. =        0.4159970E+01

  global error =        0.1370544E-03 iter. number =  1100 denomin. =        0.4137480E+01

  convergence  for freq. #    17 achieved in  1155 inner iterations 
 relative error value =       0.99812805E-04


  frequency number    16 frequency :       0.20150000E+00
 jw  real sour, imag sour =     16      0.21304E+00      0.54847E-01

  global error =        0.1876556E-01 iter. number =   100 denomin. =        0.3663477E+01

  global error =        0.1360833E-01 iter. number =   200 denomin. =        0.3342732E+01

  global error =        0.7894818E-02 iter. number =   300 denomin. =        0.3076758E+01

  global error =        0.5483611E-02 iter. number =   400 denomin. =        0.2587762E+01

  global error =        0.4265642E-02 iter. number =   500 denomin. =        0.2291763E+01

  global error =        0.2498643E-02 iter. number =   600 denomin. =        0.2324204E+01

  global error =        0.1552164E-02 iter. number =   700 denomin. =        0.2437381E+01

  global error =        0.1073318E-02 iter. number =   800 denomin. =        0.2480675E+01

  global error =        0.7064949E-03 iter. number =   900 denomin. =        0.2458522E+01

  global error =        0.4394574E-03 iter. number =  1000 denomin. =        0.2431442E+01

  global error =        0.2849186E-03 iter. number =  1100 denomin. =        0.2431962E+01

  global error =        0.2009119E-03 iter. number =  1200 denomin. =        0.2438471E+01

  global error =        0.1293809E-03 iter. number =  1300 denomin. =        0.2444716E+01

  convergence  for freq. #    16 achieved in  1352 inner iterations 
 relative error value =       0.99837621E-04


  frequency number    15 frequency :       0.18850000E+00
 jw  real sour, imag sour =     15      0.19506E+00      0.68355E-01

  global error =        0.1600606E-01 iter. number =   100 denomin. =        0.2558223E+01

  global error =        0.8689668E-02 iter. number =   200 denomin. =        0.2565750E+01

  global error =        0.5430661E-02 iter. number =   300 denomin. =        0.2661984E+01

  global error =        0.2590069E-02 iter. number =   400 denomin. =        0.2760490E+01

  global error =        0.1735187E-02 iter. number =   500 denomin. =        0.2880057E+01

  global error =        0.9359224E-03 iter. number =   600 denomin. =        0.2834466E+01

  global error =        0.5979003E-03 iter. number =   700 denomin. =        0.2924819E+01

  global error =        0.4560034E-03 iter. number =   800 denomin. =        0.2977106E+01

  global error =        0.2442731E-03 iter. number =   900 denomin. =        0.2991581E+01

  global error =        0.1765074E-03 iter. number =  1000 denomin. =        0.2994241E+01

  global error =        0.1038657E-03 iter. number =  1100 denomin. =        0.2992242E+01

  convergence  for freq. #    15 achieved in  1109 inner iterations 
 relative error value =       0.99699617E-04


  frequency number    14 frequency :       0.17550000E+00
 jw  real sour, imag sour =     14      0.17625E+00      0.79164E-01

  global error =        0.1676065E-01 iter. number =   100 denomin. =        0.2944389E+01

  global error =        0.1180491E-01 iter. number =   200 denomin. =        0.2714432E+01

  global error =        0.9154144E-02 iter. number =   300 denomin. =        0.2566496E+01

  global error =        0.4414163E-02 iter. number =   400 denomin. =        0.1624094E+01

  global error =        0.3985291E-02 iter. number =   500 denomin. =        0.1052046E+01

  global error =        0.2059999E-02 iter. number =   600 denomin. =        0.1020946E+01

  global error =        0.1285080E-02 iter. number =   700 denomin. =        0.1092897E+01

  global error =        0.1039387E-02 iter. number =   800 denomin. =        0.1156861E+01

  global error =        0.5906040E-03 iter. number =   900 denomin. =        0.1181857E+01

  global error =        0.3969613E-03 iter. number =  1000 denomin. =        0.1167099E+01

  global error =        0.2165598E-03 iter. number =  1100 denomin. =        0.1147909E+01

  global error =        0.1760276E-03 iter. number =  1200 denomin. =        0.1144802E+01

  convergence  for freq. #    14 achieved in  1287 inner iterations 
 relative error value =       0.99862342E-04


  frequency number    13 frequency :       0.16250000E+00
 jw  real sour, imag sour =     13      0.15697E+00      0.87232E-01

  global error =        0.1714030E-01 iter. number =   100 denomin. =        0.1343981E+01

  global error =        0.1319257E-01 iter. number =   200 denomin. =        0.1327417E+01

  global error =        0.8098566E-02 iter. number =   300 denomin. =        0.1143809E+01

  global error =        0.4600569E-02 iter. number =   400 denomin. =        0.1299137E+01

  global error =        0.2807327E-02 iter. number =   500 denomin. =        0.1556793E+01

  global error =        0.2060655E-02 iter. number =   600 denomin. =        0.1645902E+01

  global error =        0.1205623E-02 iter. number =   700 denomin. =        0.1675782E+01

  global error =        0.8623188E-03 iter. number =   800 denomin. =        0.1764868E+01

  global error =        0.5883518E-03 iter. number =   900 denomin. =        0.1820578E+01

  global error =        0.3737348E-03 iter. number =  1000 denomin. =        0.1830325E+01

  global error =        0.2698035E-03 iter. number =  1100 denomin. =        0.1850828E+01

  global error =        0.1916289E-03 iter. number =  1200 denomin. =        0.1872048E+01

  global error =        0.1236486E-03 iter. number =  1300 denomin. =        0.1877077E+01

  convergence  for freq. #    13 achieved in  1351 inner iterations 
 relative error value =       0.99794163E-04


  frequency number    12 frequency :       0.14950000E+00
 jw  real sour, imag sour =     12      0.13754E+00      0.92556E-01

  global error =        0.1860484E-01 iter. number =   100 denomin. =        0.1960998E+01

  global error =        0.1494664E-01 iter. number =   200 denomin. =        0.1679890E+01

  global error =        0.9425036E-02 iter. number =   300 denomin. =        0.1618296E+01

  global error =        0.6534799E-02 iter. number =   400 denomin. =        0.1720754E+01

  global error =        0.4991620E-02 iter. number =   500 denomin. =        0.1511706E+01

  global error =        0.3523260E-02 iter. number =   600 denomin. =        0.1484579E+01

  global error =        0.2460557E-02 iter. number =   700 denomin. =        0.1459998E+01

  global error =        0.1769842E-02 iter. number =   800 denomin. =        0.1471685E+01

  global error =        0.1254161E-02 iter. number =   900 denomin. =        0.1512435E+01

  global error =        0.8737956E-03 iter. number =  1000 denomin. =        0.1500139E+01

  global error =        0.6201718E-03 iter. number =  1100 denomin. =        0.1516985E+01

  global error =        0.4476938E-03 iter. number =  1200 denomin. =        0.1503913E+01

  global error =        0.3185174E-03 iter. number =  1300 denomin. =        0.1507058E+01

  global error =        0.2265334E-03 iter. number =  1400 denomin. =        0.1506167E+01

  global error =        0.1614895E-03 iter. number =  1500 denomin. =        0.1505422E+01

  global error =        0.1143565E-03 iter. number =  1600 denomin. =        0.1508120E+01

  convergence  for freq. #    12 achieved in  1641 inner iterations 
 relative error value =       0.99665494E-04


  frequency number    11 frequency :       0.13650000E+00
 jw  real sour, imag sour =     11      0.11832E+00      0.95177E-01

  global error =        0.1783185E-01 iter. number =   100 denomin. =        0.1529841E+01

  global error =        0.1118352E-01 iter. number =   200 denomin. =        0.1267837E+01

  global error =        0.6850466E-02 iter. number =   300 denomin. =        0.1170210E+01

  global error =        0.4273703E-02 iter. number =   400 denomin. =        0.1343737E+01

  global error =        0.2185055E-02 iter. number =   500 denomin. =        0.1415190E+01

  global error =        0.1600920E-02 iter. number =   600 denomin. =        0.1486589E+01

  global error =        0.1014649E-02 iter. number =   700 denomin. =        0.1522934E+01

  global error =        0.6095335E-03 iter. number =   800 denomin. =        0.1585828E+01

  global error =        0.4695677E-03 iter. number =   900 denomin. =        0.1615524E+01

  global error =        0.2699560E-03 iter. number =  1000 denomin. =        0.1631741E+01

  global error =        0.2081978E-03 iter. number =  1100 denomin. =        0.1646560E+01

  global error =        0.1215091E-03 iter. number =  1200 denomin. =        0.1650004E+01

  convergence  for freq. #    11 achieved in  1279 inner iterations 
 relative error value =       0.99800245E-04


  frequency number    10 frequency :       0.12350000E+00
 jw  real sour, imag sour =     10      0.99637E-01      0.95174E-01

  global error =        0.1784135E-01 iter. number =   100 denomin. =        0.1561131E+01

  global error =        0.1243440E-01 iter. number =   200 denomin. =        0.1109480E+01

  global error =        0.9117838E-02 iter. number =   300 denomin. =        0.1151741E+01

  global error =        0.4222308E-02 iter. number =   400 denomin. =        0.8772634E+00

  global error =        0.3404816E-02 iter. number =   500 denomin. =        0.6663431E+00

  global error =        0.3447694E-02 iter. number =   600 denomin. =        0.5222806E+00

  global error =        0.2057398E-02 iter. number =   700 denomin. =        0.4152326E+00

  global error =        0.1599627E-02 iter. number =   800 denomin. =        0.3989558E+00

  global error =        0.9961560E-03 iter. number =   900 denomin. =        0.4279542E+00

  global error =        0.7640869E-03 iter. number =  1000 denomin. =        0.4595437E+00

  global error =        0.5113226E-03 iter. number =  1100 denomin. =        0.4809887E+00

  global error =        0.3680398E-03 iter. number =  1200 denomin. =        0.4869936E+00

  global error =        0.2823031E-03 iter. number =  1300 denomin. =        0.4807869E+00

  global error =        0.1874789E-03 iter. number =  1400 denomin. =        0.4710998E+00

  global error =        0.1454369E-03 iter. number =  1500 denomin. =        0.4638084E+00

  global error =        0.1047995E-03 iter. number =  1600 denomin. =        0.4607553E+00

  convergence  for freq. #    10 achieved in  1629 inner iterations 
 relative error value =       0.99915590E-04


  frequency number     9 frequency :       0.11050000E+00
 jw  real sour, imag sour =      9      0.81803E-01      0.92665E-01

  global error =        0.1732696E-01 iter. number =   100 denomin. =        0.5226099E+00

  global error =        0.1177630E-01 iter. number =   200 denomin. =        0.5682673E+00

  global error =        0.8306620E-02 iter. number =   300 denomin. =        0.4650545E+00

  global error =        0.5488381E-02 iter. number =   400 denomin. =        0.4519984E+00

  global error =        0.3681168E-02 iter. number =   500 denomin. =        0.5450299E+00

  global error =        0.2744778E-02 iter. number =   600 denomin. =        0.5661896E+00

  global error =        0.1852472E-02 iter. number =   700 denomin. =        0.5203168E+00

  global error =        0.1408272E-02 iter. number =   800 denomin. =        0.5310562E+00

  global error =        0.1028533E-02 iter. number =   900 denomin. =        0.5543486E+00

  global error =        0.7795255E-03 iter. number =  1000 denomin. =        0.5431303E+00

  global error =        0.5904630E-03 iter. number =  1100 denomin. =        0.5298885E+00

  global error =        0.4250165E-03 iter. number =  1200 denomin. =        0.5369337E+00

  global error =        0.3143648E-03 iter. number =  1300 denomin. =        0.5397402E+00

  global error =        0.2396312E-03 iter. number =  1400 denomin. =        0.5329816E+00

  global error =        0.1781195E-03 iter. number =  1500 denomin. =        0.5319523E+00

  global error =        0.1281892E-03 iter. number =  1600 denomin. =        0.5349751E+00

  convergence  for freq. #     9 achieved in  1682 inner iterations 
 relative error value =       0.99716262E-04


  frequency number     8 frequency :       0.97500000E-01
 jw  real sour, imag sour =      8      0.65120E-01      0.87804E-01

  global error =        0.1745990E-01 iter. number =   100 denomin. =        0.6578617E+00

  global error =        0.1364336E-01 iter. number =   200 denomin. =        0.6134880E+00

  global error =        0.9153163E-02 iter. number =   300 denomin. =        0.5345216E+00

  global error =        0.6245111E-02 iter. number =   400 denomin. =        0.5791544E+00

  global error =        0.4432238E-02 iter. number =   500 denomin. =        0.5568152E+00

  global error =        0.3501903E-02 iter. number =   600 denomin. =        0.5031246E+00

  global error =        0.2448733E-02 iter. number =   700 denomin. =        0.5301591E+00

  global error =        0.1785575E-02 iter. number =   800 denomin. =        0.5177499E+00

  global error =        0.1263066E-02 iter. number =   900 denomin. =        0.5238157E+00

  global error =        0.9151728E-03 iter. number =  1000 denomin. =        0.5369172E+00

  global error =        0.6454457E-03 iter. number =  1100 denomin. =        0.5284749E+00

  global error =        0.4684234E-03 iter. number =  1200 denomin. =        0.5329516E+00

  global error =        0.3347092E-03 iter. number =  1300 denomin. =        0.5319683E+00

  global error =        0.2523793E-03 iter. number =  1400 denomin. =        0.5296310E+00

  global error =        0.1796044E-03 iter. number =  1500 denomin. =        0.5319665E+00

  global error =        0.1292458E-03 iter. number =  1600 denomin. =        0.5310915E+00

  convergence  for freq. #     8 achieved in  1669 inner iterations 
 relative error value =       0.99627601E-04


  frequency number     7 frequency :       0.84500000E-01
 jw  real sour, imag sour =      7      0.49867E-01      0.80782E-01

  global error =        0.1801745E-01 iter. number =   100 denomin. =        0.5973393E+00

  global error =        0.1199735E-01 iter. number =   200 denomin. =        0.4779775E+00

  global error =        0.7353420E-02 iter. number =   300 denomin. =        0.3984114E+00

  global error =        0.4684374E-02 iter. number =   400 denomin. =        0.4325413E+00

  global error =        0.2537477E-02 iter. number =   500 denomin. =        0.4409322E+00

  global error =        0.1589229E-02 iter. number =   600 denomin. =        0.4737763E+00

  global error =        0.1211758E-02 iter. number =   700 denomin. =        0.5089964E+00

  global error =        0.6663810E-03 iter. number =   800 denomin. =        0.5296408E+00

  global error =        0.4323804E-03 iter. number =   900 denomin. =        0.5398873E+00

  global error =        0.3181950E-03 iter. number =  1000 denomin. =        0.5412559E+00

  global error =        0.1839954E-03 iter. number =  1100 denomin. =        0.5455142E+00

  global error =        0.1444753E-03 iter. number =  1200 denomin. =        0.5442059E+00

  convergence  for freq. #     7 achieved in  1275 inner iterations 
 relative error value =       0.99769668E-04


  frequency number     6 frequency :       0.71500000E-01
 jw  real sour, imag sour =      6      0.36297E-01      0.71817E-01

  global error =        0.2077448E-01 iter. number =   100 denomin. =        0.5438241E+00

  global error =        0.1818961E-01 iter. number =   200 denomin. =        0.2644010E+00

  global error =        0.1115607E-01 iter. number =   300 denomin. =        0.2456256E+00

  global error =        0.6109094E-02 iter. number =   400 denomin. =        0.2395974E+00

  global error =        0.4613515E-02 iter. number =   500 denomin. =        0.2166808E+00

  global error =        0.3086031E-02 iter. number =   600 denomin. =        0.1921184E+00

  global error =        0.2299456E-02 iter. number =   700 denomin. =        0.1561486E+00

  global error =        0.1569456E-02 iter. number =   800 denomin. =        0.1306151E+00

  global error =        0.1225727E-02 iter. number =   900 denomin. =        0.1241907E+00

  global error =        0.9438757E-03 iter. number =  1000 denomin. =        0.1260801E+00

  global error =        0.6465705E-03 iter. number =  1100 denomin. =        0.1335020E+00

  global error =        0.4652533E-03 iter. number =  1200 denomin. =        0.1406110E+00

  global error =        0.3430906E-03 iter. number =  1300 denomin. =        0.1442078E+00

  global error =        0.2616130E-03 iter. number =  1400 denomin. =        0.1444072E+00

  global error =        0.1902084E-03 iter. number =  1500 denomin. =        0.1424563E+00

  global error =        0.1471582E-03 iter. number =  1600 denomin. =        0.1399837E+00

  global error =        0.1127615E-03 iter. number =  1700 denomin. =        0.1382764E+00

  convergence  for freq. #     6 achieved in  1752 inner iterations 
 relative error value =       0.99916206E-04


  frequency number     5 frequency :       0.58500000E-01
 jw  real sour, imag sour =      5      0.24632E-01      0.61159E-01

  global error =        0.1001941E-01 iter. number =   100 denomin. =        0.1245187E+00

  global error =        0.8192817E-02 iter. number =   200 denomin. =        0.1163658E+00

  global error =        0.6536151E-02 iter. number =   300 denomin. =        0.1340533E+00

  global error =        0.5480313E-02 iter. number =   400 denomin. =        0.1574968E+00

  global error =        0.4814467E-02 iter. number =   500 denomin. =        0.1666291E+00

  global error =        0.4232346E-02 iter. number =   600 denomin. =        0.1602579E+00

  global error =        0.3835234E-02 iter. number =   700 denomin. =        0.1468731E+00

  global error =        0.3641687E-02 iter. number =   800 denomin. =        0.1376106E+00

  global error =        0.3466198E-02 iter. number =   900 denomin. =        0.1277657E+00

  global error =        0.3192744E-02 iter. number =  1000 denomin. =        0.1166459E+00

  global error =        0.2759626E-02 iter. number =  1100 denomin. =        0.1155966E+00

  global error =        0.2323851E-02 iter. number =  1200 denomin. =        0.1269814E+00

  global error =        0.2047264E-02 iter. number =  1300 denomin. =        0.1396052E+00

  global error =        0.1839625E-02 iter. number =  1400 denomin. =        0.1470737E+00

  global error =        0.1688514E-02 iter. number =  1500 denomin. =        0.1513421E+00

  global error =        0.1538254E-02 iter. number =  1600 denomin. =        0.1534107E+00

  global error =        0.1360950E-02 iter. number =  1700 denomin. =        0.1508228E+00

  global error =        0.1224036E-02 iter. number =  1800 denomin. =        0.1439190E+00

  global error =        0.1137147E-02 iter. number =  1900 denomin. =        0.1376578E+00

  global error =        0.1066609E-02 iter. number =  2000 denomin. =        0.1352597E+00

  global error =        0.9917955E-03 iter. number =  2100 denomin. =        0.1357504E+00

  global error =        0.9181985E-03 iter. number =  2200 denomin. =        0.1373459E+00

  global error =        0.8098099E-03 iter. number =  2300 denomin. =        0.1403387E+00

  global error =        0.7175134E-03 iter. number =  2400 denomin. =        0.1444226E+00

  global error =        0.6322303E-03 iter. number =  2500 denomin. =        0.1472214E+00

  global error =        0.5862469E-03 iter. number =  2600 denomin. =        0.1474140E+00

  global error =        0.5639151E-03 iter. number =  2700 denomin. =        0.1461083E+00

  global error =        0.5374703E-03 iter. number =  2800 denomin. =        0.1442785E+00

  global error =        0.5128473E-03 iter. number =  2900 denomin. =        0.1421550E+00

  global error =        0.4836465E-03 iter. number =  3000 denomin. =        0.1403656E+00

  global error =        0.4503235E-03 iter. number =  3100 denomin. =        0.1396901E+00

  global error =        0.4212325E-03 iter. number =  3200 denomin. =        0.1404776E+00

  global error =        0.4019389E-03 iter. number =  3300 denomin. =        0.1421298E+00

  global error =        0.3727641E-03 iter. number =  3400 denomin. =        0.1435488E+00

  global error =        0.3433769E-03 iter. number =  3500 denomin. =        0.1445435E+00

  global error =        0.3105819E-03 iter. number =  3600 denomin. =        0.1450265E+00

  global error =        0.2755790E-03 iter. number =  3700 denomin. =        0.1446137E+00

  global error =        0.2520989E-03 iter. number =  3800 denomin. =        0.1436061E+00

  global error =        0.2298664E-03 iter. number =  3900 denomin. =        0.1425808E+00

  global error =        0.2126026E-03 iter. number =  4000 denomin. =        0.1418476E+00

  NO convergence  for freq. #     5 after   4001 inner iterations 
 relative error value reduction =       0.21260258E-03


  frequency number     4 frequency :       0.45500000E-01
 jw  real sour, imag sour =      4      0.15064E-01      0.49081E-01

  global error =        0.9281168E-02 iter. number =   100 denomin. =        0.1342928E+00

  global error =        0.7927446E-02 iter. number =   200 denomin. =        0.1395515E+00

  global error =        0.7199004E-02 iter. number =   300 denomin. =        0.1514584E+00

  global error =        0.6325933E-02 iter. number =   400 denomin. =        0.1541281E+00

  global error =        0.5531062E-02 iter. number =   500 denomin. =        0.1417089E+00

  global error =        0.4943132E-02 iter. number =   600 denomin. =        0.1306965E+00

  global error =        0.4628884E-02 iter. number =   700 denomin. =        0.1291554E+00

  global error =        0.4330229E-02 iter. number =   800 denomin. =        0.1330878E+00

  global error =        0.3807400E-02 iter. number =   900 denomin. =        0.1400484E+00

  global error =        0.3369182E-02 iter. number =  1000 denomin. =        0.1414431E+00

  global error =        0.3022757E-02 iter. number =  1100 denomin. =        0.1346011E+00

  global error =        0.2816313E-02 iter. number =  1200 denomin. =        0.1237970E+00

  global error =        0.2733553E-02 iter. number =  1300 denomin. =        0.1159817E+00

  global error =        0.2506031E-02 iter. number =  1400 denomin. =        0.1145414E+00

  global error =        0.2279294E-02 iter. number =  1500 denomin. =        0.1178242E+00

  global error =        0.2003325E-02 iter. number =  1600 denomin. =        0.1208842E+00

  global error =        0.1758829E-02 iter. number =  1700 denomin. =        0.1201284E+00

  global error =        0.1647128E-02 iter. number =  1800 denomin. =        0.1166610E+00

  global error =        0.1576283E-02 iter. number =  1900 denomin. =        0.1137571E+00

  global error =        0.1454018E-02 iter. number =  2000 denomin. =        0.1132236E+00

  global error =        0.1340455E-02 iter. number =  2100 denomin. =        0.1154201E+00

  global error =        0.1180805E-02 iter. number =  2200 denomin. =        0.1182424E+00

  global error =        0.1096258E-02 iter. number =  2300 denomin. =        0.1187106E+00

  global error =        0.1027933E-02 iter. number =  2400 denomin. =        0.1169416E+00

  global error =        0.9482103E-03 iter. number =  2500 denomin. =        0.1146329E+00

  global error =        0.9249091E-03 iter. number =  2600 denomin. =        0.1132470E+00

  global error =        0.8484560E-03 iter. number =  2700 denomin. =        0.1137156E+00

  global error =        0.7904505E-03 iter. number =  2800 denomin. =        0.1148061E+00

  global error =        0.7330115E-03 iter. number =  2900 denomin. =        0.1149405E+00

  global error =        0.6756569E-03 iter. number =  3000 denomin. =        0.1142387E+00

  global error =        0.6429490E-03 iter. number =  3100 denomin. =        0.1134300E+00

  global error =        0.6061575E-03 iter. number =  3200 denomin. =        0.1129493E+00

  global error =        0.5549335E-03 iter. number =  3300 denomin. =        0.1130931E+00

  global error =        0.5190651E-03 iter. number =  3400 denomin. =        0.1135744E+00

  global error =        0.4742040E-03 iter. number =  3500 denomin. =        0.1137896E+00

  global error =        0.4485193E-03 iter. number =  3600 denomin. =        0.1136123E+00

  global error =        0.4315657E-03 iter. number =  3700 denomin. =        0.1132487E+00

  global error =        0.4000151E-03 iter. number =  3800 denomin. =        0.1129100E+00

  global error =        0.3928720E-03 iter. number =  3900 denomin. =        0.1129623E+00

  global error =        0.3723279E-03 iter. number =  4000 denomin. =        0.1134865E+00

  NO convergence  for freq. #     4 after   4001 inner iterations 
 relative error value reduction =       0.37232785E-03


  frequency number     3 frequency :       0.32500000E-01
 jw  real sour, imag sour =      3      0.77483E-02      0.35877E-01

  global error =        0.1005415E-01 iter. number =   100 denomin. =        0.1080151E+00

  global error =        0.8889013E-02 iter. number =   200 denomin. =        0.9593133E-01

  global error =        0.8041608E-02 iter. number =   300 denomin. =        0.8138171E-01

  global error =        0.6956212E-02 iter. number =   400 denomin. =        0.6958635E-01

  global error =        0.6027471E-02 iter. number =   500 denomin. =        0.6146931E-01

  global error =        0.5448422E-02 iter. number =   600 denomin. =        0.5873537E-01

  global error =        0.5101786E-02 iter. number =   700 denomin. =        0.6055057E-01

  global error =        0.4656184E-02 iter. number =   800 denomin. =        0.6031465E-01

  global error =        0.4081429E-02 iter. number =   900 denomin. =        0.5671368E-01

  global error =        0.3507181E-02 iter. number =  1000 denomin. =        0.5399979E-01

  global error =        0.3066491E-02 iter. number =  1100 denomin. =        0.5561385E-01

  global error =        0.2718133E-02 iter. number =  1200 denomin. =        0.5924102E-01

  global error =        0.2465914E-02 iter. number =  1300 denomin. =        0.6172140E-01

  global error =        0.2278240E-02 iter. number =  1400 denomin. =        0.6370828E-01

  global error =        0.1967814E-02 iter. number =  1500 denomin. =        0.6581906E-01

  global error =        0.1675655E-02 iter. number =  1600 denomin. =        0.6716596E-01

  global error =        0.1476177E-02 iter. number =  1700 denomin. =        0.6676856E-01

  global error =        0.1352653E-02 iter. number =  1800 denomin. =        0.6580257E-01

  global error =        0.1266472E-02 iter. number =  1900 denomin. =        0.6523304E-01

  global error =        0.1174413E-02 iter. number =  2000 denomin. =        0.6459040E-01

  global error =        0.1129415E-02 iter. number =  2100 denomin. =        0.6395551E-01

  global error =        0.1024475E-02 iter. number =  2200 denomin. =        0.6391414E-01

  global error =        0.9064061E-03 iter. number =  2300 denomin. =        0.6459601E-01

  global error =        0.8111255E-03 iter. number =  2400 denomin. =        0.6496471E-01

  global error =        0.7240262E-03 iter. number =  2500 denomin. =        0.6449337E-01

  global error =        0.6767715E-03 iter. number =  2600 denomin. =        0.6361540E-01

  global error =        0.6323090E-03 iter. number =  2700 denomin. =        0.6268049E-01

  global error =        0.6188726E-03 iter. number =  2800 denomin. =        0.6190135E-01

  global error =        0.5824223E-03 iter. number =  2900 denomin. =        0.6136709E-01

  global error =        0.5354405E-03 iter. number =  3000 denomin. =        0.6119244E-01

  global error =        0.5013982E-03 iter. number =  3100 denomin. =        0.6125641E-01

  global error =        0.4702004E-03 iter. number =  3200 denomin. =        0.6134205E-01

  global error =        0.4494385E-03 iter. number =  3300 denomin. =        0.6144818E-01

  global error =        0.4246405E-03 iter. number =  3400 denomin. =        0.6153194E-01

  global error =        0.4124840E-03 iter. number =  3500 denomin. =        0.6150453E-01

  global error =        0.4027420E-03 iter. number =  3600 denomin. =        0.6126439E-01

  global error =        0.3794585E-03 iter. number =  3700 denomin. =        0.6094797E-01

  global error =        0.3640754E-03 iter. number =  3800 denomin. =        0.6077669E-01

  global error =        0.3500341E-03 iter. number =  3900 denomin. =        0.6076185E-01

  global error =        0.3366682E-03 iter. number =  4000 denomin. =        0.6082985E-01

  NO convergence  for freq. #     3 after   4001 inner iterations 
 relative error value reduction =       0.33666822E-03


  frequency number     2 frequency :       0.19500000E-01
 jw  real sour, imag sour =      2      0.28044E-02      0.21856E-01

  global error =        0.1218376E-01 iter. number =   100 denomin. =        0.5755501E-01

  global error =        0.1058558E-01 iter. number =   200 denomin. =        0.5357091E-01

  global error =        0.9762150E-02 iter. number =   300 denomin. =        0.4663753E-01

  global error =        0.8955750E-02 iter. number =   400 denomin. =        0.3635951E-01

  global error =        0.8754178E-02 iter. number =   500 denomin. =        0.3281262E-01

  global error =        0.7850396E-02 iter. number =   600 denomin. =        0.3374920E-01

  global error =        0.6326111E-02 iter. number =   700 denomin. =        0.3576015E-01

  global error =        0.5546971E-02 iter. number =   800 denomin. =        0.3628634E-01

  global error =        0.4915699E-02 iter. number =   900 denomin. =        0.3402515E-01

  global error =        0.4623864E-02 iter. number =  1000 denomin. =        0.3333729E-01

  global error =        0.4204434E-02 iter. number =  1100 denomin. =        0.3403576E-01

  global error =        0.3505580E-02 iter. number =  1200 denomin. =        0.3415948E-01

  global error =        0.3055747E-02 iter. number =  1300 denomin. =        0.3334226E-01

  global error =        0.2575085E-02 iter. number =  1400 denomin. =        0.3127652E-01

  global error =        0.2350750E-02 iter. number =  1500 denomin. =        0.2956046E-01

  global error =        0.2194561E-02 iter. number =  1600 denomin. =        0.2858240E-01

  global error =        0.1915283E-02 iter. number =  1700 denomin. =        0.2797782E-01

  global error =        0.1759949E-02 iter. number =  1800 denomin. =        0.2709491E-01

  global error =        0.1558889E-02 iter. number =  1900 denomin. =        0.2578789E-01

  global error =        0.1360685E-02 iter. number =  2000 denomin. =        0.2473257E-01

  global error =        0.1252210E-02 iter. number =  2100 denomin. =        0.2419463E-01

  global error =        0.1170985E-02 iter. number =  2200 denomin. =        0.2388262E-01

  global error =        0.1078179E-02 iter. number =  2300 denomin. =        0.2354693E-01

  global error =        0.9835369E-03 iter. number =  2400 denomin. =        0.2320638E-01

  global error =        0.8835777E-03 iter. number =  2500 denomin. =        0.2297973E-01

  global error =        0.7990873E-03 iter. number =  2600 denomin. =        0.2295817E-01

  global error =        0.7159952E-03 iter. number =  2700 denomin. =        0.2314125E-01

  global error =        0.6652832E-03 iter. number =  2800 denomin. =        0.2345127E-01

  global error =        0.6196400E-03 iter. number =  2900 denomin. =        0.2383030E-01

  global error =        0.5814074E-03 iter. number =  3000 denomin. =        0.2423097E-01

  global error =        0.5385934E-03 iter. number =  3100 denomin. =        0.2456447E-01

  global error =        0.5026551E-03 iter. number =  3200 denomin. =        0.2478173E-01

  global error =        0.4782683E-03 iter. number =  3300 denomin. =        0.2491724E-01

  global error =        0.4508854E-03 iter. number =  3400 denomin. =        0.2503260E-01

  global error =        0.4330946E-03 iter. number =  3500 denomin. =        0.2515120E-01

  global error =        0.4204744E-03 iter. number =  3600 denomin. =        0.2526903E-01

  global error =        0.3968650E-03 iter. number =  3700 denomin. =        0.2536681E-01

  global error =        0.3743911E-03 iter. number =  3800 denomin. =        0.2544130E-01

  global error =        0.3612621E-03 iter. number =  3900 denomin. =        0.2548434E-01

  global error =        0.3478580E-03 iter. number =  4000 denomin. =        0.2546023E-01

  NO convergence  for freq. #     2 after   4001 inner iterations 
 relative error value reduction =       0.34785796E-03


  frequency number     1 frequency :       0.65000000E-02
 jw  real sour, imag sour =      1      0.31219E-03      0.73405E-02

  global error =        0.1555193E-01 iter. number =   100 denomin. =        0.2253284E-01

  global error =        0.1395911E-01 iter. number =   200 denomin. =        0.2074806E-01

  global error =        0.1282563E-01 iter. number =   300 denomin. =        0.1894667E-01

  global error =        0.1126210E-01 iter. number =   400 denomin. =        0.1686831E-01

  global error =        0.1096962E-01 iter. number =   500 denomin. =        0.1598776E-01

  global error =        0.9662660E-02 iter. number =   600 denomin. =        0.1337572E-01

  global error =        0.8477612E-02 iter. number =   700 denomin. =        0.1125104E-01

  global error =        0.8072037E-02 iter. number =   800 denomin. =        0.1127699E-01

  global error =        0.7411946E-02 iter. number =   900 denomin. =        0.1066382E-01

  global error =        0.6489966E-02 iter. number =  1000 denomin. =        0.8750270E-02

  global error =        0.5724308E-02 iter. number =  1100 denomin. =        0.9078765E-02

  global error =        0.5270583E-02 iter. number =  1200 denomin. =        0.8829095E-02

  global error =        0.4614910E-02 iter. number =  1300 denomin. =        0.8432625E-02

  global error =        0.3846975E-02 iter. number =  1400 denomin. =        0.8447684E-02

  global error =        0.3521520E-02 iter. number =  1500 denomin. =        0.7891542E-02

  global error =        0.3046226E-02 iter. number =  1600 denomin. =        0.7847860E-02

  global error =        0.2675972E-02 iter. number =  1700 denomin. =        0.7505571E-02

  global error =        0.2364214E-02 iter. number =  1800 denomin. =        0.7225976E-02

  global error =        0.2105853E-02 iter. number =  1900 denomin. =        0.7396673E-02

  global error =        0.1885122E-02 iter. number =  2000 denomin. =        0.7284991E-02

  global error =        0.1532315E-02 iter. number =  2100 denomin. =        0.7436051E-02

  global error =        0.1317294E-02 iter. number =  2200 denomin. =        0.7571793E-02

  global error =        0.1211348E-02 iter. number =  2300 denomin. =        0.7567501E-02

  global error =        0.1026264E-02 iter. number =  2400 denomin. =        0.7662962E-02

  global error =        0.8894950E-03 iter. number =  2500 denomin. =        0.7558533E-02

  global error =        0.8261814E-03 iter. number =  2600 denomin. =        0.7492960E-02

  global error =        0.7541629E-03 iter. number =  2700 denomin. =        0.7420022E-02

  global error =        0.6404906E-03 iter. number =  2800 denomin. =        0.7255216E-02

  global error =        0.5538430E-03 iter. number =  2900 denomin. =        0.7217892E-02

  global error =        0.5136587E-03 iter. number =  3000 denomin. =        0.7149967E-02

  global error =        0.4372577E-03 iter. number =  3100 denomin. =        0.7111420E-02

  global error =        0.3582607E-03 iter. number =  3200 denomin. =        0.7122593E-02

  global error =        0.3238975E-03 iter. number =  3300 denomin. =        0.7083950E-02

  global error =        0.2927899E-03 iter. number =  3400 denomin. =        0.7090992E-02

  global error =        0.2557205E-03 iter. number =  3500 denomin. =        0.7077918E-02

  global error =        0.2250592E-03 iter. number =  3600 denomin. =        0.7065843E-02

  global error =        0.1934396E-03 iter. number =  3700 denomin. =        0.7093002E-02

  global error =        0.1743333E-03 iter. number =  3800 denomin. =        0.7087350E-02

  global error =        0.1544118E-03 iter. number =  3900 denomin. =        0.7096609E-02

  global error =        0.1297264E-03 iter. number =  4000 denomin. =        0.7100045E-02

  NO convergence  for freq. #     1 after   4001 inner iterations 
 relative error value reduction =       0.12972637E-03

  enters outime
  leaves outime

 tiempo=       9669.3994    
