
 # 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=       0.70000000E+00 khz



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



  total simulation time  stime =        0.10000000E+03 msec


   parameters of  source band-pass filter

 set equal to 0. if not filter is desired

 f1  =       0.00000000E+00   khz 

 f2  =       0.00000000E+00   khz 

 f3  =       0.14000000E+01   khz 

 f4  =       0.15000000E+01   khz 



   maxiter =  max. # inner iterations  4000

   reduc =  relative error required        0.10000000E-03

  number of materials (nmat) =     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 =       0.20547315E+00 msec



  number of time steps  nt =    486



  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 =       0.24334080E+01 khz

  dt  =       0.20547315E+00  msec

 delf =       0.75000000E-02  khz

 delw =       0.47123890E-01  2 pi*khz



   parameters of  source band-pass filter

 set equal to 0. if not filter is desired

 f1  =       0.00000000E+00   khz 

 f2  =       0.00000000E+00   khz 

 f3  =       0.14000000E+01   khz 

 f4  =       0.15000000E+01   khz 



  freq. indices for snapshots 
    1      5

  time steps for snapshots 
    1     48

  time steps for snapshots 
    2     97

  time steps for snapshots 
    3    121

  time steps for snapshots 
    4    146

  if1 if2 if3 if4 =     1     1   187   201

 jw1 - jw2 - jwlow       1    200     10

  pulse length in samples      27

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

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

  pulse length in samples     486
  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                     =       0.11000000E+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 #)    =   110
 material type number  numat    =     4

  from  xi                     =       0.00000000E+00 m  
 up to xf                     =       0.20000000E+03 m 
 from  yi                     =       0.11000000E+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 #)    =   111
 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 :       0.14962500E+01
 jw  real sour, imag sour =    200     -0.11137E-02     -0.59530E-03

  global error =        0.7183489E-02 iter. number =   100 denomin. =        0.7976891E-05

  global error =        0.1093174E-02 iter. number =   200 denomin. =        0.7889247E-05

  global error =        0.5504319E-03 iter. number =   300 denomin. =        0.7865336E-05

  global error =        0.3083520E-03 iter. number =   400 denomin. =        0.7867605E-05

  global error =        0.1712610E-03 iter. number =   500 denomin. =        0.7867657E-05

  convergence  for freq. #   200 achieved in   598 inner iterations 
 relative error value =       0.99954864E-04


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

  global error =        0.3758899E-02 iter. number =   100 denomin. =        0.3523056E-04

  global error =        0.4921677E-03 iter. number =   200 denomin. =        0.3582078E-04

  global error =        0.2367212E-03 iter. number =   300 denomin. =        0.3580154E-04

  global error =        0.1303327E-03 iter. number =   400 denomin. =        0.3579784E-04

  convergence  for freq. #   199 achieved in   444 inner iterations 
 relative error value =       0.99540762E-04


  frequency number   198 frequency :       0.14812500E+01
 jw  real sour, imag sour =    198     -0.33175E-02     -0.25704E-02

  global error =        0.2640650E-02 iter. number =   100 denomin. =        0.8987179E-04

  global error =        0.3075563E-03 iter. number =   200 denomin. =        0.9264985E-04

  global error =        0.1496465E-03 iter. number =   300 denomin. =        0.9276852E-04

  convergence  for freq. #   198 achieved in   373 inner iterations 
 relative error value =       0.99668706E-04


  frequency number   197 frequency :       0.14737500E+01
 jw  real sour, imag sour =    197     -0.43340E-02     -0.39839E-02

  global error =        0.2103373E-02 iter. number =   100 denomin. =        0.1817458E-03

  global error =        0.2265183E-03 iter. number =   200 denomin. =        0.1870003E-03

  global error =        0.1184282E-03 iter. number =   300 denomin. =        0.1873063E-03

  convergence  for freq. #   197 achieved in   337 inner iterations 
 relative error value =       0.99740866E-04


  frequency number   196 frequency :       0.14662500E+01
 jw  real sour, imag sour =    196     -0.52372E-02     -0.56978E-02

  global error =        0.1796432E-02 iter. number =   100 denomin. =        0.3168989E-03

  global error =        0.1899184E-03 iter. number =   200 denomin. =        0.3214752E-03

  global error =        0.1095988E-03 iter. number =   300 denomin. =        0.3215419E-03

  convergence  for freq. #   196 achieved in   323 inner iterations 
 relative error value =       0.99718512E-04


  frequency number   195 frequency :       0.14587500E+01
 jw  real sour, imag sour =    195     -0.59800E-02     -0.77186E-02

  global error =        0.1601009E-02 iter. number =   100 denomin. =        0.4942127E-03

  global error =        0.1758165E-03 iter. number =   200 denomin. =        0.4932264E-03

  global error =        0.1082529E-03 iter. number =   300 denomin. =        0.4927959E-03

  convergence  for freq. #   195 achieved in   321 inner iterations 
 relative error value =       0.99995674E-04


  frequency number   194 frequency :       0.14512500E+01
 jw  real sour, imag sour =    194     -0.65115E-02     -0.10048E-01

  global error =        0.1474180E-02 iter. number =   100 denomin. =        0.7141437E-03

  global error =        0.1800173E-03 iter. number =   200 denomin. =        0.7067357E-03

  global error =        0.1186367E-03 iter. number =   300 denomin. =        0.7063586E-03

  convergence  for freq. #   194 achieved in   347 inner iterations 
 relative error value =       0.99681400E-04


  frequency number   193 frequency :       0.14437500E+01
 jw  real sour, imag sour =    193     -0.67774E-02     -0.12680E-01

  global error =        0.1392815E-02 iter. number =   100 denomin. =        0.9937426E-03

  global error =        0.1692883E-03 iter. number =   200 denomin. =        0.9864903E-03

  global error =        0.1157290E-03 iter. number =   300 denomin. =        0.9863265E-03

  convergence  for freq. #   193 achieved in   345 inner iterations 
 relative error value =       0.99946208E-04


  frequency number   192 frequency :       0.14362500E+01
 jw  real sour, imag sour =    192     -0.67212E-02     -0.15604E-01

  global error =        0.1342920E-02 iter. number =   100 denomin. =        0.1371020E-02

  global error =        0.1756089E-03 iter. number =   200 denomin. =        0.1376556E-02

  global error =        0.1202147E-03 iter. number =   300 denomin. =        0.1376164E-02

  convergence  for freq. #   192 achieved in   358 inner iterations 
 relative error value =       0.99699786E-04


  frequency number   191 frequency :       0.14287500E+01
 jw  real sour, imag sour =    191     -0.62840E-02     -0.18801E-01

  global error =        0.1309128E-02 iter. number =   100 denomin. =        0.1895961E-02

  global error =        0.1603281E-03 iter. number =   200 denomin. =        0.1926813E-02

  global error =        0.1100065E-03 iter. number =   300 denomin. =        0.1927300E-02

  convergence  for freq. #   191 achieved in   330 inner iterations 
 relative error value =       0.99819376E-04


  frequency number   190 frequency :       0.14212500E+01
 jw  real sour, imag sour =    190     -0.54060E-02     -0.22243E-01

  global error =        0.1284490E-02 iter. number =   100 denomin. =        0.2609325E-02

  global error =        0.1760684E-03 iter. number =   200 denomin. =        0.2664573E-02

  global error =        0.1234293E-03 iter. number =   300 denomin. =        0.2667600E-02

  convergence  for freq. #   190 achieved in   366 inner iterations 
 relative error value =       0.99944503E-04


  frequency number   189 frequency :       0.14137500E+01
 jw  real sour, imag sour =    189     -0.40267E-02     -0.25894E-01

  global error =        0.1256743E-02 iter. number =   100 denomin. =        0.3506262E-02

  global error =        0.1750910E-03 iter. number =   200 denomin. =        0.3556797E-02

  global error =        0.1269036E-03 iter. number =   300 denomin. =        0.3559390E-02

  convergence  for freq. #   189 achieved in   390 inner iterations 
 relative error value =       0.99813613E-04


  frequency number   188 frequency :       0.14062500E+01
 jw  real sour, imag sour =    188     -0.20867E-02     -0.29710E-01

  global error =        0.1222058E-02 iter. number =   100 denomin. =        0.4513541E-02

  global error =        0.1711154E-03 iter. number =   200 denomin. =        0.4514182E-02

  global error =        0.1255314E-03 iter. number =   300 denomin. =        0.4511127E-02

  convergence  for freq. #   188 achieved in   377 inner iterations 
 relative error value =       0.99890097E-04


  frequency number   187 frequency :       0.13987500E+01
 jw  real sour, imag sour =    187      0.47185E-03     -0.33635E-01

  global error =        0.1185291E-02 iter. number =   100 denomin. =        0.5548804E-02

  global error =        0.1776070E-03 iter. number =   200 denomin. =        0.5484756E-02

  global error =        0.1275928E-03 iter. number =   300 denomin. =        0.5479819E-02

  convergence  for freq. #   187 achieved in   373 inner iterations 
 relative error value =       0.99848865E-04


  frequency number   186 frequency :       0.13912500E+01
 jw  real sour, imag sour =    186      0.34570E-02     -0.35098E-01

  global error =        0.1044448E-02 iter. number =   100 denomin. =        0.5794515E-02

  global error =        0.1937211E-03 iter. number =   200 denomin. =        0.5709425E-02

  global error =        0.1431002E-03 iter. number =   300 denomin. =        0.5709923E-02

  global error =        0.1035686E-03 iter. number =   400 denomin. =        0.5710131E-02

  convergence  for freq. #   186 achieved in   412 inner iterations 
 relative error value =       0.99839154E-04


  frequency number   185 frequency :       0.13837500E+01
 jw  real sour, imag sour =    185      0.67024E-02     -0.36353E-01

  global error =        0.1025795E-02 iter. number =   100 denomin. =        0.6099592E-02

  global error =        0.2010108E-03 iter. number =   200 denomin. =        0.6074069E-02

  global error =        0.1468647E-03 iter. number =   300 denomin. =        0.6074800E-02

  global error =        0.1125029E-03 iter. number =   400 denomin. =        0.6074740E-02

  convergence  for freq. #   185 achieved in   454 inner iterations 
 relative error value =       0.99927895E-04


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

  global error =        0.1015071E-02 iter. number =   100 denomin. =        0.6627396E-02

  global error =        0.1790061E-03 iter. number =   200 denomin. =        0.6685540E-02

  global error =        0.1285249E-03 iter. number =   300 denomin. =        0.6684929E-02

  convergence  for freq. #   184 achieved in   386 inner iterations 
 relative error value =       0.99778299E-04


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

  global error =        0.1023816E-02 iter. number =   100 denomin. =        0.7427594E-02

  global error =        0.1671257E-03 iter. number =   200 denomin. =        0.7556246E-02

  global error =        0.1174600E-03 iter. number =   300 denomin. =        0.7561099E-02

  convergence  for freq. #   183 achieved in   354 inner iterations 
 relative error value =       0.99800474E-04


  frequency number   182 frequency :       0.13612500E+01
 jw  real sour, imag sour =    182      0.17894E-01     -0.38530E-01

  global error =        0.1043382E-02 iter. number =   100 denomin. =        0.8428721E-02

  global error =        0.1471616E-03 iter. number =   200 denomin. =        0.8561756E-02

  global error =        0.1002758E-03 iter. number =   300 denomin. =        0.8571072E-02

  convergence  for freq. #   182 achieved in   301 inner iterations 
 relative error value =       0.99958571E-04


  frequency number   181 frequency :       0.13537500E+01
 jw  real sour, imag sour =    181      0.22055E-01     -0.38616E-01

  global error =        0.1059504E-02 iter. number =   100 denomin. =        0.9416187E-02

  global error =        0.1232402E-03 iter. number =   200 denomin. =        0.9450742E-02

  convergence  for freq. #   181 achieved in   238 inner iterations 
 relative error value =       0.99862479E-04


  frequency number   180 frequency :       0.13462500E+01
 jw  real sour, imag sour =    180      0.26395E-01     -0.38328E-01

  global error =        0.1063490E-02 iter. number =   100 denomin. =        0.1012920E-01

  global error =        0.1066936E-03 iter. number =   200 denomin. =        0.1001423E-01

  convergence  for freq. #   180 achieved in   209 inner iterations 
 relative error value =       0.99936445E-04


  frequency number   179 frequency :       0.13387500E+01
 jw  real sour, imag sour =    179      0.30885E-01     -0.37634E-01

  global error =        0.1047512E-02 iter. number =   100 denomin. =        0.1050804E-01

  global error =        0.9948322E-04 iter. number =   200 denomin. =        0.1031532E-01

  convergence  for freq. #   179 achieved in   200 inner iterations 
 relative error value =       0.99483222E-04


  frequency number   178 frequency :       0.13312500E+01
 jw  real sour, imag sour =    178      0.35494E-01     -0.36504E-01

  global error =        0.1022483E-02 iter. number =   100 denomin. =        0.1079172E-01

  convergence  for freq. #   178 achieved in   196 inner iterations 
 relative error value =       0.99589802E-04


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

  global error =        0.1003315E-02 iter. number =   100 denomin. =        0.1131579E-01

  global error =        0.9966989E-04 iter. number =   200 denomin. =        0.1131586E-01

  convergence  for freq. #   177 achieved in   200 inner iterations 
 relative error value =       0.99669891E-04


  frequency number   176 frequency :       0.13162500E+01
 jw  real sour, imag sour =    176      0.44918E-01     -0.32828E-01

  global error =        0.1004550E-02 iter. number =   100 denomin. =        0.1229663E-01

  convergence  for freq. #   176 achieved in   193 inner iterations 
 relative error value =       0.99702635E-04


  frequency number   175 frequency :       0.13087500E+01
 jw  real sour, imag sour =    175      0.49649E-01     -0.30234E-01

  global error =        0.1023879E-02 iter. number =   100 denomin. =        0.1376124E-01

  global error =        0.1012600E-03 iter. number =   200 denomin. =        0.1402178E-01

  convergence  for freq. #   175 achieved in   202 inner iterations 
 relative error value =       0.99624291E-04


  frequency number   174 frequency :       0.13012500E+01
 jw  real sour, imag sour =    174      0.54329E-01     -0.27109E-01

  global error =        0.1053220E-02 iter. number =   100 denomin. =        0.1548413E-01

  convergence  for freq. #   174 achieved in   195 inner iterations 
 relative error value =       0.99931480E-04


  frequency number   173 frequency :       0.12937500E+01
 jw  real sour, imag sour =    173      0.58907E-01     -0.23438E-01

  global error =        0.1078481E-02 iter. number =   100 denomin. =        0.1698948E-01

  global error =        0.1027475E-03 iter. number =   200 denomin. =        0.1694424E-01

  convergence  for freq. #   173 achieved in   204 inner iterations 
 relative error value =       0.99261286E-04


  frequency number   172 frequency :       0.12862500E+01
 jw  real sour, imag sour =    172      0.63328E-01     -0.19211E-01

  global error =        0.1080281E-02 iter. number =   100 denomin. =        0.1785386E-01

  global error =        0.1051543E-03 iter. number =   200 denomin. =        0.1754893E-01

  convergence  for freq. #   172 achieved in   207 inner iterations 
 relative error value =       0.99182496E-04


  frequency number   171 frequency :       0.12787500E+01
 jw  real sour, imag sour =    171      0.67534E-01     -0.14421E-01

  global error =        0.1057939E-02 iter. number =   100 denomin. =        0.1817346E-01

  global error =        0.1016534E-03 iter. number =   200 denomin. =        0.1782302E-01

  convergence  for freq. #   171 achieved in   202 inner iterations 
 relative error value =       0.99953027E-04


  frequency number   170 frequency :       0.12712500E+01
 jw  real sour, imag sour =    170      0.71465E-01     -0.90692E-02

  global error =        0.1028220E-02 iter. number =   100 denomin. =        0.1852150E-01

  global error =        0.1001311E-03 iter. number =   200 denomin. =        0.1835186E-01

  convergence  for freq. #   170 achieved in   201 inner iterations 
 relative error value =       0.99252384E-04


  frequency number   169 frequency :       0.12637500E+01
 jw  real sour, imag sour =    169      0.75058E-01     -0.31603E-02

  global error =        0.1013892E-02 iter. number =   100 denomin. =        0.1944199E-01

  global error =        0.1010790E-03 iter. number =   200 denomin. =        0.1955411E-01

  convergence  for freq. #   169 achieved in   202 inner iterations 
 relative error value =       0.99394176E-04


  frequency number   168 frequency :       0.12562500E+01
 jw  real sour, imag sour =    168      0.78249E-01      0.32939E-02

  global error =        0.1021999E-02 iter. number =   100 denomin. =        0.2118814E-01

  global error =        0.1045790E-03 iter. number =   200 denomin. =        0.2155696E-01

  convergence  for freq. #   168 achieved in   206 inner iterations 
 relative error value =       0.99501336E-04


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

  global error =        0.1049913E-02 iter. number =   100 denomin. =        0.2365104E-01

  global error =        0.1028513E-03 iter. number =   200 denomin. =        0.2409512E-01

  convergence  for freq. #   167 achieved in   204 inner iterations 
 relative error value =       0.99281521E-04


  frequency number   166 frequency :       0.12412500E+01
 jw  real sour, imag sour =    166      0.83163E-01      0.17758E-01

  global error =        0.1082430E-02 iter. number =   100 denomin. =        0.2624984E-01

  global error =        0.1030609E-03 iter. number =   200 denomin. =        0.2643492E-01

  convergence  for freq. #   166 achieved in   204 inner iterations 
 relative error value =       0.99317733E-04


  frequency number   165 frequency :       0.12337500E+01
 jw  real sour, imag sour =    165      0.84754E-01      0.25709E-01

  global error =        0.1099331E-02 iter. number =   100 denomin. =        0.2809743E-01

  global error =        0.1031857E-03 iter. number =   200 denomin. =        0.2778888E-01

  convergence  for freq. #   165 achieved in   204 inner iterations 
 relative error value =       0.99381300E-04


  frequency number   164 frequency :       0.12262500E+01
 jw  real sour, imag sour =    164      0.85682E-01      0.34090E-01

  global error =        0.1086539E-02 iter. number =   100 denomin. =        0.2877571E-01

  global error =        0.1048149E-03 iter. number =   200 denomin. =        0.2816563E-01

  convergence  for freq. #   164 achieved in   205 inner iterations 
 relative error value =       0.99795613E-04


  frequency number   163 frequency :       0.12187500E+01
 jw  real sour, imag sour =    163      0.85884E-01      0.42853E-01

  global error =        0.1051069E-02 iter. number =   100 denomin. =        0.2890202E-01

  global error =        0.1038084E-03 iter. number =   200 denomin. =        0.2842871E-01

  convergence  for freq. #   163 achieved in   204 inner iterations 
 relative error value =       0.99944019E-04


  frequency number   162 frequency :       0.12112500E+01
 jw  real sour, imag sour =    162      0.85299E-01      0.51943E-01

  global error =        0.1022719E-02 iter. number =   100 denomin. =        0.2950284E-01

  global error =        0.1024618E-03 iter. number =   200 denomin. =        0.2944315E-01

  convergence  for freq. #   162 achieved in   203 inner iterations 
 relative error value =       0.99489289E-04


  frequency number   161 frequency :       0.12037500E+01
 jw  real sour, imag sour =    161      0.83871E-01      0.61296E-01

  global error =        0.1019635E-02 iter. number =   100 denomin. =        0.3123826E-01

  global error =        0.1077888E-03 iter. number =   200 denomin. =        0.3163838E-01

  convergence  for freq. #   161 achieved in   208 inner iterations 
 relative error value =       0.98959638E-04


  frequency number   160 frequency :       0.11962500E+01
 jw  real sour, imag sour =    160      0.81547E-01      0.70843E-01

  global error =        0.1047314E-02 iter. number =   100 denomin. =        0.3425272E-01

  global error =        0.1121166E-03 iter. number =   200 denomin. =        0.3493942E-01

  convergence  for freq. #   160 achieved in   213 inner iterations 
 relative error value =       0.99993217E-04


  frequency number   159 frequency :       0.11887500E+01
 jw  real sour, imag sour =    159      0.78279E-01      0.80506E-01

  global error =        0.1116730E-02 iter. number =   100 denomin. =        0.3803745E-01

  global error =        0.1531961E-03 iter. number =   200 denomin. =        0.3856530E-01

  convergence  for freq. #   159 achieved in   246 inner iterations 
 relative error value =       0.99808415E-04


  frequency number   158 frequency :       0.11812500E+01
 jw  real sour, imag sour =    158      0.74026E-01      0.90200E-01

  global error =        0.1187740E-02 iter. number =   100 denomin. =        0.4134875E-01

  global error =        0.2263782E-03 iter. number =   200 denomin. =        0.4118826E-01

  global error =        0.1054622E-03 iter. number =   300 denomin. =        0.4113401E-01

  convergence  for freq. #   158 achieved in   308 inner iterations 
 relative error value =       0.99478875E-04


  frequency number   157 frequency :       0.11737500E+01
 jw  real sour, imag sour =    157      0.68753E-01      0.99835E-01

  global error =        0.1255059E-02 iter. number =   100 denomin. =        0.4301012E-01

  global error =        0.3804226E-03 iter. number =   200 denomin. =        0.4217138E-01

  global error =        0.2261782E-03 iter. number =   300 denomin. =        0.4206907E-01

  global error =        0.1626315E-03 iter. number =   400 denomin. =        0.4206720E-01

  global error =        0.1085775E-03 iter. number =   500 denomin. =        0.4207558E-01

  convergence  for freq. #   157 achieved in   520 inner iterations 
 relative error value =       0.99619512E-04


  frequency number   156 frequency :       0.11662500E+01
 jw  real sour, imag sour =    156      0.62433E-01      0.10931E+00

  global error =        0.1547352E-02 iter. number =   100 denomin. =        0.4330704E-01

  global error =        0.8788562E-03 iter. number =   200 denomin. =        0.4248757E-01

  global error =        0.6174425E-03 iter. number =   300 denomin. =        0.4249144E-01

  global error =        0.5005349E-03 iter. number =   400 denomin. =        0.4250431E-01

  global error =        0.4013935E-03 iter. number =   500 denomin. =        0.4250333E-01

  global error =        0.3210656E-03 iter. number =   600 denomin. =        0.4247453E-01

  global error =        0.2748349E-03 iter. number =   700 denomin. =        0.4245664E-01

  global error =        0.2187476E-03 iter. number =   800 denomin. =        0.4246564E-01

  global error =        0.1894630E-03 iter. number =   900 denomin. =        0.4248178E-01

  global error =        0.1515058E-03 iter. number =  1000 denomin. =        0.4249310E-01

  global error =        0.1266840E-03 iter. number =  1100 denomin. =        0.4249868E-01

  global error =        0.1042735E-03 iter. number =  1200 denomin. =        0.4249779E-01

  convergence  for freq. #   156 achieved in  1230 inner iterations 
 relative error value =       0.99990102E-04


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

  global error =        0.1876064E-02 iter. number =   100 denomin. =        0.4435605E-01

  global error =        0.1280830E-02 iter. number =   200 denomin. =        0.4381847E-01

  global error =        0.9311312E-03 iter. number =   300 denomin. =        0.4414138E-01

  global error =        0.7801547E-03 iter. number =   400 denomin. =        0.4402659E-01

  global error =        0.6645099E-03 iter. number =   500 denomin. =        0.4414779E-01

  global error =        0.6501051E-03 iter. number =   600 denomin. =        0.4409984E-01

  global error =        0.5052375E-03 iter. number =   700 denomin. =        0.4406378E-01

  global error =        0.4538682E-03 iter. number =   800 denomin. =        0.4409506E-01

  global error =        0.4090422E-03 iter. number =   900 denomin. =        0.4399368E-01

  global error =        0.3810318E-03 iter. number =  1000 denomin. =        0.4408181E-01

  global error =        0.3580160E-03 iter. number =  1100 denomin. =        0.4396918E-01

  global error =        0.3378755E-03 iter. number =  1200 denomin. =        0.4408370E-01

  global error =        0.3399877E-03 iter. number =  1300 denomin. =        0.4399203E-01

  global error =        0.3055431E-03 iter. number =  1400 denomin. =        0.4407141E-01

  global error =        0.2836480E-03 iter. number =  1500 denomin. =        0.4401990E-01

  global error =        0.2798104E-03 iter. number =  1600 denomin. =        0.4405726E-01

  global error =        0.2841758E-03 iter. number =  1700 denomin. =        0.4403831E-01

  global error =        0.2633308E-03 iter. number =  1800 denomin. =        0.4402960E-01

  global error =        0.2459726E-03 iter. number =  1900 denomin. =        0.4405380E-01

  global error =        0.2471779E-03 iter. number =  2000 denomin. =        0.4401765E-01

  global error =        0.2456023E-03 iter. number =  2100 denomin. =        0.4405358E-01

  global error =        0.2291733E-03 iter. number =  2200 denomin. =        0.4401342E-01

  global error =        0.2150292E-03 iter. number =  2300 denomin. =        0.4405701E-01

  global error =        0.2170228E-03 iter. number =  2400 denomin. =        0.4401674E-01

  global error =        0.2156715E-03 iter. number =  2500 denomin. =        0.4404604E-01

  global error =        0.2038804E-03 iter. number =  2600 denomin. =        0.4402784E-01

  global error =        0.1945492E-03 iter. number =  2700 denomin. =        0.4403921E-01

  global error =        0.1940517E-03 iter. number =  2800 denomin. =        0.4403187E-01

  global error =        0.1898628E-03 iter. number =  2900 denomin. =        0.4403050E-01

  global error =        0.1796660E-03 iter. number =  3000 denomin. =        0.4404106E-01

  global error =        0.1743459E-03 iter. number =  3100 denomin. =        0.4402422E-01

  global error =        0.1745034E-03 iter. number =  3200 denomin. =        0.4404022E-01

  global error =        0.1702126E-03 iter. number =  3300 denomin. =        0.4402554E-01

  global error =        0.1612753E-03 iter. number =  3400 denomin. =        0.4404066E-01

  global error =        0.1566544E-03 iter. number =  3500 denomin. =        0.4402413E-01

  global error =        0.1559008E-03 iter. number =  3600 denomin. =        0.4403756E-01

  global error =        0.1518793E-03 iter. number =  3700 denomin. =        0.4403009E-01

  global error =        0.1453007E-03 iter. number =  3800 denomin. =        0.4403222E-01

  global error =        0.1419619E-03 iter. number =  3900 denomin. =        0.4403116E-01

  global error =        0.1404437E-03 iter. number =  4000 denomin. =        0.4403131E-01

  NO convergence  for freq. #   155 after   4001 inner iterations 
 relative error value reduction =       0.14044368E-03


  frequency number   154 frequency :       0.11512500E+01
 jw  real sour, imag sour =    154      0.46588E-01      0.12738E+00

  global error =        0.2916486E-02 iter. number =   100 denomin. =        0.4991286E-01

  global error =        0.2379574E-02 iter. number =   200 denomin. =        0.5846270E-01

  global error =        0.2043616E-02 iter. number =   300 denomin. =        0.7182380E-01

  global error =        0.1697180E-02 iter. number =   400 denomin. =        0.8853396E-01

  global error =        0.1530123E-02 iter. number =   500 denomin. =        0.1059161E+00

  global error =        0.1326793E-02 iter. number =   600 denomin. =        0.1238975E+00

  global error =        0.1185967E-02 iter. number =   700 denomin. =        0.1393717E+00

  global error =        0.1096313E-02 iter. number =   800 denomin. =        0.1523719E+00

  global error =        0.9811033E-03 iter. number =   900 denomin. =        0.1605087E+00

  global error =        0.9658280E-03 iter. number =  1000 denomin. =        0.1641065E+00

  global error =        0.8838514E-03 iter. number =  1100 denomin. =        0.1624518E+00

  global error =        0.8908580E-03 iter. number =  1200 denomin. =        0.1569131E+00

  global error =        0.8721065E-03 iter. number =  1300 denomin. =        0.1475861E+00

  global error =        0.8742177E-03 iter. number =  1400 denomin. =        0.1363275E+00

  global error =        0.8815268E-03 iter. number =  1500 denomin. =        0.1231349E+00

  global error =        0.9067102E-03 iter. number =  1600 denomin. =        0.1099024E+00

  global error =        0.9018650E-03 iter. number =  1700 denomin. =        0.9695426E-01

  global error =        0.9398686E-03 iter. number =  1800 denomin. =        0.8595301E-01

  global error =        0.9186477E-03 iter. number =  1900 denomin. =        0.7736557E-01

  global error =        0.9298331E-03 iter. number =  2000 denomin. =        0.7193511E-01

  global error =        0.9010599E-03 iter. number =  2100 denomin. =        0.6962203E-01

  global error =        0.8559658E-03 iter. number =  2200 denomin. =        0.7025363E-01

  global error =        0.8146334E-03 iter. number =  2300 denomin. =        0.7344908E-01

  global error =        0.7528729E-03 iter. number =  2400 denomin. =        0.7866692E-01

  global error =        0.6909120E-03 iter. number =  2500 denomin. =        0.8543772E-01

  global error =        0.6396819E-03 iter. number =  2600 denomin. =        0.9296059E-01

  global error =        0.5809790E-03 iter. number =  2700 denomin. =        0.1006029E+00

  global error =        0.5417816E-03 iter. number =  2800 denomin. =        0.1075289E+00

  global error =        0.5045192E-03 iter. number =  2900 denomin. =        0.1131966E+00

  global error =        0.4718356E-03 iter. number =  3000 denomin. =        0.1172091E+00

  global error =        0.4555151E-03 iter. number =  3100 denomin. =        0.1193682E+00

  global error =        0.4323550E-03 iter. number =  3200 denomin. =        0.1197068E+00

  global error =        0.4201744E-03 iter. number =  3300 denomin. =        0.1182941E+00

  global error =        0.4090343E-03 iter. number =  3400 denomin. =        0.1153518E+00

  global error =        0.3965686E-03 iter. number =  3500 denomin. =        0.1112183E+00

  global error =        0.3904216E-03 iter. number =  3600 denomin. =        0.1062809E+00

  global error =        0.3816844E-03 iter. number =  3700 denomin. =        0.1010903E+00

  global error =        0.3738881E-03 iter. number =  3800 denomin. =        0.9606745E-01

  global error =        0.3702346E-03 iter. number =  3900 denomin. =        0.9167250E-01

  global error =        0.3591842E-03 iter. number =  4000 denomin. =        0.8815970E-01

  NO convergence  for freq. #   154 after   4001 inner iterations 
 relative error value reduction =       0.35918423E-03


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

  global error =        0.1523635E-01 iter. number =   100 denomin. =        0.1053465E+00

  global error =        0.1391360E-01 iter. number =   200 denomin. =        0.1241488E+00

  global error =        0.1256724E-01 iter. number =   300 denomin. =        0.1190161E+00

  global error =        0.1197229E-01 iter. number =   400 denomin. =        0.1265779E+00

  global error =        0.1083229E-01 iter. number =   500 denomin. =        0.1235460E+00

  global error =        0.1252080E-01 iter. number =   600 denomin. =        0.8634109E-01

  global error =        0.1065996E-01 iter. number =   700 denomin. =        0.9476541E-01

  global error =        0.1091452E-01 iter. number =   800 denomin. =        0.8406239E-01

  global error =        0.1004111E-01 iter. number =   900 denomin. =        0.7884399E-01

  global error =        0.8779194E-02 iter. number =  1000 denomin. =        0.9631772E-01

  global error =        0.8134575E-02 iter. number =  1100 denomin. =        0.9160488E-01

  global error =        0.8185763E-02 iter. number =  1200 denomin. =        0.8401332E-01

  global error =        0.7307158E-02 iter. number =  1300 denomin. =        0.8783583E-01

  global error =        0.7701557E-02 iter. number =  1400 denomin. =        0.7201884E-01

  global error =        0.6858804E-02 iter. number =  1500 denomin. =        0.7485098E-01

  global error =        0.6245010E-02 iter. number =  1600 denomin. =        0.8126489E-01

  global error =        0.5903946E-02 iter. number =  1700 denomin. =        0.7464646E-01

  global error =        0.5420414E-02 iter. number =  1800 denomin. =        0.8017713E-01

  global error =        0.4956517E-02 iter. number =  1900 denomin. =        0.8043514E-01

  global error =        0.4988484E-02 iter. number =  2000 denomin. =        0.7205331E-01

  global error =        0.4479211E-02 iter. number =  2100 denomin. =        0.7599476E-01

  global error =        0.4331873E-02 iter. number =  2200 denomin. =        0.7275171E-01

  global error =        0.4022168E-02 iter. number =  2300 denomin. =        0.7107201E-01

  global error =        0.3626210E-02 iter. number =  2400 denomin. =        0.7738298E-01

  global error =        0.3395219E-02 iter. number =  2500 denomin. =        0.7396833E-01

  global error =        0.3223428E-02 iter. number =  2600 denomin. =        0.7291550E-01

  global error =        0.2924149E-02 iter. number =  2700 denomin. =        0.7539700E-01

  global error =        0.2851119E-02 iter. number =  2800 denomin. =        0.7090537E-01

  global error =        0.2619769E-02 iter. number =  2900 denomin. =        0.7226421E-01

  global error =        0.2442992E-02 iter. number =  3000 denomin. =        0.7369663E-01

  global error =        0.2297150E-02 iter. number =  3100 denomin. =        0.7113185E-01

  global error =        0.2110574E-02 iter. number =  3200 denomin. =        0.7388173E-01

  global error =        0.1948487E-02 iter. number =  3300 denomin. =        0.7352256E-01

  global error =        0.1857893E-02 iter. number =  3400 denomin. =        0.7104980E-01

  global error =        0.1697237E-02 iter. number =  3500 denomin. =        0.7302505E-01

  global error =        0.1610161E-02 iter. number =  3600 denomin. =        0.7185646E-01

  global error =        0.1503626E-02 iter. number =  3700 denomin. =        0.7137332E-01

  global error =        0.1393748E-02 iter. number =  3800 denomin. =        0.7325725E-01

  global error =        0.1306140E-02 iter. number =  3900 denomin. =        0.7176015E-01

  global error =        0.1217725E-02 iter. number =  4000 denomin. =        0.7202796E-01

  NO convergence  for freq. #   153 after   4001 inner iterations 
 relative error value reduction =       0.12177252E-02


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

  global error =        0.1122898E-01 iter. number =   100 denomin. =        0.9903264E-01

  global error =        0.8570263E-02 iter. number =   200 denomin. =        0.1331610E+00

  global error =        0.7874817E-02 iter. number =   300 denomin. =        0.1225744E+00

  global error =        0.8280446E-02 iter. number =   400 denomin. =        0.8323689E-01

  global error =        0.7619406E-02 iter. number =   500 denomin. =        0.7592482E-01

  global error =        0.5934041E-02 iter. number =   600 denomin. =        0.1007077E+00

  global error =        0.4981922E-02 iter. number =   700 denomin. =        0.1013634E+00

  global error =        0.5470059E-02 iter. number =   800 denomin. =        0.7597525E-01

  global error =        0.4787876E-02 iter. number =   900 denomin. =        0.6472183E-01

  global error =        0.4110135E-02 iter. number =  1000 denomin. =        0.7864781E-01

  global error =        0.3378022E-02 iter. number =  1100 denomin. =        0.8466742E-01

  global error =        0.3231265E-02 iter. number =  1200 denomin. =        0.7372379E-01

  global error =        0.2970967E-02 iter. number =  1300 denomin. =        0.6604484E-01

  global error =        0.2543698E-02 iter. number =  1400 denomin. =        0.7371239E-01

  global error =        0.2095364E-02 iter. number =  1500 denomin. =        0.8022722E-01

  global error =        0.1936251E-02 iter. number =  1600 denomin. =        0.7497682E-01

  global error =        0.1775042E-02 iter. number =  1700 denomin. =        0.6834645E-01

  global error =        0.1562429E-02 iter. number =  1800 denomin. =        0.7072381E-01

  global error =        0.1299629E-02 iter. number =  1900 denomin. =        0.7544888E-01

  global error =        0.1186901E-02 iter. number =  2000 denomin. =        0.7357197E-01

  global error =        0.1083883E-02 iter. number =  2100 denomin. =        0.6937631E-01

  global error =        0.9174643E-03 iter. number =  2200 denomin. =        0.7018006E-01

  global error =        0.8293271E-03 iter. number =  2300 denomin. =        0.7359905E-01

  global error =        0.7057745E-03 iter. number =  2400 denomin. =        0.7352693E-01

  global error =        0.6443319E-03 iter. number =  2500 denomin. =        0.7095220E-01

  global error =        0.5696242E-03 iter. number =  2600 denomin. =        0.7055833E-01

  global error =        0.4958279E-03 iter. number =  2700 denomin. =        0.7247137E-01

  global error =        0.4341598E-03 iter. number =  2800 denomin. =        0.7287544E-01

  global error =        0.3934516E-03 iter. number =  2900 denomin. =        0.7133252E-01

  global error =        0.3402689E-03 iter. number =  3000 denomin. =        0.7075066E-01

  global error =        0.3066565E-03 iter. number =  3100 denomin. =        0.7183537E-01

  global error =        0.2632778E-03 iter. number =  3200 denomin. =        0.7245230E-01

  global error =        0.2369341E-03 iter. number =  3300 denomin. =        0.7173057E-01

  global error =        0.2090447E-03 iter. number =  3400 denomin. =        0.7117070E-01

  global error =        0.1840422E-03 iter. number =  3500 denomin. =        0.7167547E-01

  global error =        0.1623942E-03 iter. number =  3600 denomin. =        0.7217410E-01

  global error =        0.1428033E-03 iter. number =  3700 denomin. =        0.7182327E-01

  global error =        0.1279030E-03 iter. number =  3800 denomin. =        0.7137352E-01

  global error =        0.1116752E-03 iter. number =  3900 denomin. =        0.7156096E-01

  convergence  for freq. #   152 achieved in  3987 inner iterations 
 relative error value =       0.99975935E-04


  frequency number   151 frequency :       0.11287500E+01
 jw  real sour, imag sour =    151      0.14832E-01      0.15059E+00

  global error =        0.8218675E-02 iter. number =   100 denomin. =        0.8410413E-01

  global error =        0.6381501E-02 iter. number =   200 denomin. =        0.1102099E+00

  global error =        0.4515060E-02 iter. number =   300 denomin. =        0.1335377E+00

  global error =        0.3422355E-02 iter. number =   400 denomin. =        0.1444159E+00

  global error =        0.2783354E-02 iter. number =   500 denomin. =        0.1423323E+00

  global error =        0.2374227E-02 iter. number =   600 denomin. =        0.1356727E+00

  global error =        0.2094668E-02 iter. number =   700 denomin. =        0.1238927E+00

  global error =        0.1657969E-02 iter. number =   800 denomin. =        0.1086225E+00

  global error =        0.1500565E-02 iter. number =   900 denomin. =        0.1052528E+00

  global error =        0.1239715E-02 iter. number =  1000 denomin. =        0.1092891E+00

  global error =        0.8720829E-03 iter. number =  1100 denomin. =        0.1130191E+00

  global error =        0.7722925E-03 iter. number =  1200 denomin. =        0.1170784E+00

  global error =        0.6514682E-03 iter. number =  1300 denomin. =        0.1194242E+00

  global error =        0.4813032E-03 iter. number =  1400 denomin. =        0.1202236E+00

  global error =        0.4189711E-03 iter. number =  1500 denomin. =        0.1184723E+00

  global error =        0.3453023E-03 iter. number =  1600 denomin. =        0.1153286E+00

  global error =        0.2883596E-03 iter. number =  1700 denomin. =        0.1142176E+00

  global error =        0.2474061E-03 iter. number =  1800 denomin. =        0.1141084E+00

  global error =        0.1766137E-03 iter. number =  1900 denomin. =        0.1143458E+00

  global error =        0.1604339E-03 iter. number =  2000 denomin. =        0.1151237E+00

  global error =        0.1417603E-03 iter. number =  2100 denomin. =        0.1159058E+00

  convergence  for freq. #   151 achieved in  2179 inner iterations 
 relative error value =       0.99946873E-04


  frequency number   150 frequency :       0.11212500E+01
 jw  real sour, imag sour =    150      0.21995E-02      0.15682E+00

  global error =        0.1220425E-01 iter. number =   100 denomin. =        0.1512261E+00

  global error =        0.9275709E-02 iter. number =   200 denomin. =        0.1921964E+00

  global error =        0.8682722E-02 iter. number =   300 denomin. =        0.1517138E+00

  global error =        0.8811592E-02 iter. number =   400 denomin. =        0.7632498E-01

  global error =        0.7323499E-02 iter. number =   500 denomin. =        0.7554852E-01

  global error =        0.4815006E-02 iter. number =   600 denomin. =        0.1051441E+00

  global error =        0.4072459E-02 iter. number =   700 denomin. =        0.9828679E-01

  global error =        0.3671001E-02 iter. number =   800 denomin. =        0.7550661E-01

  global error =        0.2850724E-02 iter. number =   900 denomin. =        0.7186221E-01

  global error =        0.2095954E-02 iter. number =  1000 denomin. =        0.8383164E-01

  global error =        0.1731524E-02 iter. number =  1100 denomin. =        0.8627352E-01

  global error =        0.1367648E-02 iter. number =  1200 denomin. =        0.7770798E-01

  global error =        0.1132227E-02 iter. number =  1300 denomin. =        0.7478844E-01

  global error =        0.8786148E-03 iter. number =  1400 denomin. =        0.7952167E-01

  global error =        0.6650060E-03 iter. number =  1500 denomin. =        0.8154172E-01

  global error =        0.5634573E-03 iter. number =  1600 denomin. =        0.7868582E-01

  global error =        0.4256005E-03 iter. number =  1700 denomin. =        0.7700620E-01

  global error =        0.3478225E-03 iter. number =  1800 denomin. =        0.7855966E-01

  global error =        0.2752816E-03 iter. number =  1900 denomin. =        0.7973248E-01

  global error =        0.2128356E-03 iter. number =  2000 denomin. =        0.7885877E-01

  global error =        0.1735537E-03 iter. number =  2100 denomin. =        0.7803364E-01

  global error =        0.1357703E-03 iter. number =  2200 denomin. =        0.7846091E-01

  global error =        0.1076263E-03 iter. number =  2300 denomin. =        0.7902457E-01

  convergence  for freq. #   150 achieved in  2336 inner iterations 
 relative error value =       0.99911411E-04


  frequency number   149 frequency :       0.11137500E+01
 jw  real sour, imag sour =    149     -0.11386E-01      0.16210E+00

  global error =        0.6123164E-02 iter. number =   100 denomin. =        0.8340695E-01

  global error =        0.4381809E-02 iter. number =   200 denomin. =        0.9762968E-01

  global error =        0.2901280E-02 iter. number =   300 denomin. =        0.1078068E+00

  global error =        0.2369326E-02 iter. number =   400 denomin. =        0.1215968E+00

  global error =        0.1460635E-02 iter. number =   500 denomin. =        0.1339125E+00

  global error =        0.1154062E-02 iter. number =   600 denomin. =        0.1458906E+00

  global error =        0.7191552E-03 iter. number =   700 denomin. =        0.1526881E+00

  global error =        0.6073990E-03 iter. number =   800 denomin. =        0.1588953E+00

  global error =        0.4340667E-03 iter. number =   900 denomin. =        0.1634258E+00

  global error =        0.3514903E-03 iter. number =  1000 denomin. =        0.1669888E+00

  global error =        0.2777112E-03 iter. number =  1100 denomin. =        0.1690461E+00

  global error =        0.1782385E-03 iter. number =  1200 denomin. =        0.1703499E+00

  global error =        0.1656023E-03 iter. number =  1300 denomin. =        0.1716290E+00

  convergence  for freq. #   149 achieved in  1389 inner iterations 
 relative error value =       0.99657759E-04


  frequency number   148 frequency :       0.11062500E+01
 jw  real sour, imag sour =    148     -0.25864E-01      0.16632E+00

  global error =        0.1321430E-01 iter. number =   100 denomin. =        0.1630944E+00

  global error =        0.9379753E-02 iter. number =   200 denomin. =        0.1865626E+00

  global error =        0.5609014E-02 iter. number =   300 denomin. =        0.2341251E+00

  global error =        0.3841936E-02 iter. number =   400 denomin. =        0.2669367E+00

  global error =        0.2968969E-02 iter. number =   500 denomin. =        0.3069902E+00

  global error =        0.1889707E-02 iter. number =   600 denomin. =        0.3221939E+00

  global error =        0.1399139E-02 iter. number =   700 denomin. =        0.3136837E+00

  global error =        0.1156539E-02 iter. number =   800 denomin. =        0.3106010E+00

  global error =        0.8998496E-03 iter. number =   900 denomin. =        0.2980126E+00

  global error =        0.6177371E-03 iter. number =  1000 denomin. =        0.2793325E+00

  global error =        0.4932937E-03 iter. number =  1100 denomin. =        0.2678630E+00

  global error =        0.4188082E-03 iter. number =  1200 denomin. =        0.2565833E+00

  global error =        0.2842375E-03 iter. number =  1300 denomin. =        0.2468432E+00

  global error =        0.2073252E-03 iter. number =  1400 denomin. =        0.2422478E+00

  global error =        0.1781086E-03 iter. number =  1500 denomin. =        0.2390153E+00

  global error =        0.1348110E-03 iter. number =  1600 denomin. =        0.2373660E+00

  convergence  for freq. #   148 achieved in  1665 inner iterations 
 relative error value =       0.99935916E-04


  frequency number   147 frequency :       0.10987500E+01
 jw  real sour, imag sour =    147     -0.41161E-01      0.16935E+00

  global error =        0.1456375E-01 iter. number =   100 denomin. =        0.1688336E+00

  global error =        0.1460858E-01 iter. number =   200 denomin. =        0.8279977E-01

  global error =        0.9985907E-02 iter. number =   300 denomin. =        0.1076867E+00

  global error =        0.6847868E-02 iter. number =   400 denomin. =        0.9105174E-01

  global error =        0.5109432E-02 iter. number =   500 denomin. =        0.7484001E-01

  global error =        0.3845746E-02 iter. number =   600 denomin. =        0.8947003E-01

  global error =        0.2872381E-02 iter. number =   700 denomin. =        0.7905640E-01

  global error =        0.1820990E-02 iter. number =   800 denomin. =        0.7927039E-01

  global error =        0.1438794E-02 iter. number =   900 denomin. =        0.8273845E-01

  global error =        0.1069572E-02 iter. number =  1000 denomin. =        0.7863667E-01

  global error =        0.6678204E-03 iter. number =  1100 denomin. =        0.8069561E-01

  global error =        0.5181280E-03 iter. number =  1200 denomin. =        0.8044760E-01

  global error =        0.3944966E-03 iter. number =  1300 denomin. =        0.7954771E-01

  global error =        0.2555199E-03 iter. number =  1400 denomin. =        0.8057941E-01

  global error =        0.1896795E-03 iter. number =  1500 denomin. =        0.7996893E-01

  global error =        0.1461814E-03 iter. number =  1600 denomin. =        0.8001207E-01

  convergence  for freq. #   147 achieved in  1691 inner iterations 
 relative error value =       0.99854727E-04


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

  global error =        0.4888019E-02 iter. number =   100 denomin. =        0.9664189E-01

  global error =        0.3745773E-02 iter. number =   200 denomin. =        0.1319530E+00

  global error =        0.2350496E-02 iter. number =   300 denomin. =        0.1680000E+00

  global error =        0.1198619E-02 iter. number =   400 denomin. =        0.2040611E+00

  global error =        0.8610481E-03 iter. number =   500 denomin. =        0.2354669E+00

  global error =        0.6227650E-03 iter. number =   600 denomin. =        0.2587645E+00

  global error =        0.3717970E-03 iter. number =   700 denomin. =        0.2771098E+00

  global error =        0.2587252E-03 iter. number =   800 denomin. =        0.2911195E+00

  global error =        0.1929311E-03 iter. number =   900 denomin. =        0.3008908E+00

  global error =        0.1268440E-03 iter. number =  1000 denomin. =        0.3081354E+00

  convergence  for freq. #   146 achieved in  1086 inner iterations 
 relative error value =       0.99659440E-04


  frequency number   145 frequency :       0.10837500E+01
 jw  real sour, imag sour =    145     -0.73849E-01      0.17145E+00

  global error =        0.1332496E-01 iter. number =   100 denomin. =        0.2768106E+00

  global error =        0.1070510E-01 iter. number =   200 denomin. =        0.2137056E+00

  global error =        0.7458644E-02 iter. number =   300 denomin. =        0.2105875E+00

  global error =        0.4515908E-02 iter. number =   400 denomin. =        0.2400662E+00

  global error =        0.3120594E-02 iter. number =   500 denomin. =        0.2582368E+00

  global error =        0.2243255E-02 iter. number =   600 denomin. =        0.2726737E+00

  global error =        0.1434502E-02 iter. number =   700 denomin. =        0.2790983E+00

  global error =        0.9601578E-03 iter. number =   800 denomin. =        0.2802368E+00

  global error =        0.7393492E-03 iter. number =   900 denomin. =        0.2819396E+00

  global error =        0.5101679E-03 iter. number =  1000 denomin. =        0.2815122E+00

  global error =        0.3230007E-03 iter. number =  1100 denomin. =        0.2791946E+00

  global error =        0.2406318E-03 iter. number =  1200 denomin. =        0.2777692E+00

  global error =        0.1801394E-03 iter. number =  1300 denomin. =        0.2767071E+00

  global error =        0.1161275E-03 iter. number =  1400 denomin. =        0.2752859E+00

  convergence  for freq. #   145 achieved in  1438 inner iterations 
 relative error value =       0.99671876E-04


  frequency number   144 frequency :       0.10762500E+01
 jw  real sour, imag sour =    144     -0.91027E-01      0.17030E+00

  global error =        0.1276729E-01 iter. number =   100 denomin. =        0.2188059E+00

  global error =        0.1115121E-01 iter. number =   200 denomin. =        0.1221388E+00

  global error =        0.9148631E-02 iter. number =   300 denomin. =        0.1116652E+00

  global error =        0.5078177E-02 iter. number =   400 denomin. =        0.1253796E+00

  global error =        0.3395947E-02 iter. number =   500 denomin. =        0.1026629E+00

  global error =        0.2696084E-02 iter. number =   600 denomin. =        0.1050438E+00

  global error =        0.1645119E-02 iter. number =   700 denomin. =        0.1098497E+00

  global error =        0.1026139E-02 iter. number =   800 denomin. =        0.1039077E+00

  global error =        0.7722673E-03 iter. number =   900 denomin. =        0.1052342E+00

  global error =        0.4934211E-03 iter. number =  1000 denomin. =        0.1065358E+00

  global error =        0.3243874E-03 iter. number =  1100 denomin. =        0.1049775E+00

  global error =        0.2343713E-03 iter. number =  1200 denomin. =        0.1053829E+00

  global error =        0.1444475E-03 iter. number =  1300 denomin. =        0.1057542E+00

  global error =        0.1018373E-03 iter. number =  1400 denomin. =        0.1053271E+00

  convergence  for freq. #   144 achieved in  1403 inner iterations 
 relative error value =       0.99399706E-04


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

  global error =        0.4488914E-02 iter. number =   100 denomin. =        0.1260539E+00

  global error =        0.3421987E-02 iter. number =   200 denomin. =        0.1656119E+00

  global error =        0.1750547E-02 iter. number =   300 denomin. =        0.2097524E+00

  global error =        0.9557271E-03 iter. number =   400 denomin. =        0.2525694E+00

  global error =        0.7518442E-03 iter. number =   500 denomin. =        0.2825019E+00

  global error =        0.4233820E-03 iter. number =   600 denomin. =        0.3021226E+00

  global error =        0.2735431E-03 iter. number =   700 denomin. =        0.3144040E+00

  global error =        0.2154005E-03 iter. number =   800 denomin. =        0.3196606E+00

  global error =        0.1328397E-03 iter. number =   900 denomin. =        0.3215454E+00

  convergence  for freq. #   143 achieved in   985 inner iterations 
 relative error value =       0.99668309E-04


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

  global error =        0.1184915E-01 iter. number =   100 denomin. =        0.3229999E+00

  global error =        0.9315458E-02 iter. number =   200 denomin. =        0.2776365E+00

  global error =        0.7546938E-02 iter. number =   300 denomin. =        0.1910827E+00

  global error =        0.5061251E-02 iter. number =   400 denomin. =        0.1450498E+00

  global error =        0.3384818E-02 iter. number =   500 denomin. =        0.1599545E+00

  global error =        0.2056348E-02 iter. number =   600 denomin. =        0.1737931E+00

  global error =        0.1382219E-02 iter. number =   700 denomin. =        0.1582505E+00

  global error =        0.9778327E-03 iter. number =   800 denomin. =        0.1456050E+00

  global error =        0.6003603E-03 iter. number =   900 denomin. =        0.1479695E+00

  global error =        0.4062748E-03 iter. number =  1000 denomin. =        0.1517384E+00

  global error =        0.2617822E-03 iter. number =  1100 denomin. =        0.1510070E+00

  global error =        0.1648579E-03 iter. number =  1200 denomin. =        0.1500565E+00

  global error =        0.1161725E-03 iter. number =  1300 denomin. =        0.1508771E+00

  convergence  for freq. #   142 achieved in  1338 inner iterations 
 relative error value =       0.99881283E-04


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

  global error =        0.8107631E-02 iter. number =   100 denomin. =        0.1708033E+00

  global error =        0.4892676E-02 iter. number =   200 denomin. =        0.1982949E+00

  global error =        0.3451040E-02 iter. number =   300 denomin. =        0.1897270E+00

  global error =        0.2339561E-02 iter. number =   400 denomin. =        0.1535079E+00

  global error =        0.1740283E-02 iter. number =   500 denomin. =        0.1284237E+00

  global error =        0.1193645E-02 iter. number =   600 denomin. =        0.1197914E+00

  global error =        0.7502809E-03 iter. number =   700 denomin. =        0.1258040E+00

  global error =        0.4783777E-03 iter. number =   800 denomin. =        0.1317974E+00

  global error =        0.3322246E-03 iter. number =   900 denomin. =        0.1337786E+00

  global error =        0.1949015E-03 iter. number =  1000 denomin. =        0.1324284E+00

  global error =        0.1477988E-03 iter. number =  1100 denomin. =        0.1304705E+00

  convergence  for freq. #   141 achieved in  1170 inner iterations 
 relative error value =       0.99667756E-04


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

  global error =        0.4602757E-02 iter. number =   100 denomin. =        0.1351612E+00

  global error =        0.2602470E-02 iter. number =   200 denomin. =        0.1551299E+00

  global error =        0.1536032E-02 iter. number =   300 denomin. =        0.1860123E+00

  global error =        0.9185126E-03 iter. number =   400 denomin. =        0.1982798E+00

  global error =        0.6153842E-03 iter. number =   500 denomin. =        0.2014733E+00

  global error =        0.4169709E-03 iter. number =   600 denomin. =        0.1962722E+00

  global error =        0.2495200E-03 iter. number =   700 denomin. =        0.1907683E+00

  global error =        0.1958132E-03 iter. number =   800 denomin. =        0.1867113E+00

  global error =        0.1007887E-03 iter. number =   900 denomin. =        0.1849470E+00

  convergence  for freq. #   140 achieved in   909 inner iterations 
 relative error value =       0.99926691E-04


  frequency number   139 frequency :       0.10387500E+01
 jw  real sour, imag sour =    139     -0.17989E+00      0.13938E+00

  global error =        0.8009013E-02 iter. number =   100 denomin. =        0.2228131E+00

  global error =        0.6275683E-02 iter. number =   200 denomin. =        0.2782978E+00

  global error =        0.3361650E-02 iter. number =   300 denomin. =        0.2728523E+00

  global error =        0.3071394E-02 iter. number =   400 denomin. =        0.2066755E+00

  global error =        0.2142197E-02 iter. number =   500 denomin. =        0.1577471E+00

  global error =        0.1602127E-02 iter. number =   600 denomin. =        0.1463360E+00

  global error =        0.1025499E-02 iter. number =   700 denomin. =        0.1567873E+00

  global error =        0.6674704E-03 iter. number =   800 denomin. =        0.1691795E+00

  global error =        0.4580061E-03 iter. number =   900 denomin. =        0.1727236E+00

  global error =        0.3040916E-03 iter. number =  1000 denomin. =        0.1687566E+00

  global error =        0.2170689E-03 iter. number =  1100 denomin. =        0.1643738E+00

  global error =        0.1418296E-03 iter. number =  1200 denomin. =        0.1632313E+00

  global error =        0.1001283E-03 iter. number =  1300 denomin. =        0.1642897E+00

  convergence  for freq. #   139 achieved in  1301 inner iterations 
 relative error value =       0.99676908E-04


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

  global error =        0.6381011E-02 iter. number =   100 denomin. =        0.1681108E+00

  global error =        0.2845044E-02 iter. number =   200 denomin. =        0.1935439E+00

  global error =        0.2264925E-02 iter. number =   300 denomin. =        0.2382522E+00

  global error =        0.8989708E-03 iter. number =   400 denomin. =        0.2721952E+00

  global error =        0.7529515E-03 iter. number =   500 denomin. =        0.2954407E+00

  global error =        0.3755992E-03 iter. number =   600 denomin. =        0.3133967E+00

  global error =        0.2678000E-03 iter. number =   700 denomin. =        0.3220132E+00

  global error =        0.1748176E-03 iter. number =   800 denomin. =        0.3289858E+00

  global error =        0.1097484E-03 iter. number =   900 denomin. =        0.3319061E+00

  convergence  for freq. #   138 achieved in   968 inner iterations 
 relative error value =       0.99895952E-04


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

  global error =        0.9621972E-02 iter. number =   100 denomin. =        0.3314380E+00

  global error =        0.7905723E-02 iter. number =   200 denomin. =        0.2849078E+00

  global error =        0.4611681E-02 iter. number =   300 denomin. =        0.2040810E+00

  global error =        0.3726871E-02 iter. number =   400 denomin. =        0.1672515E+00

  global error =        0.1899569E-02 iter. number =   500 denomin. =        0.1831924E+00

  global error =        0.1297333E-02 iter. number =   600 denomin. =        0.1901913E+00

  global error =        0.7476898E-03 iter. number =   700 denomin. =        0.1830008E+00

  global error =        0.5144275E-03 iter. number =   800 denomin. =        0.1787750E+00

  global error =        0.3017082E-03 iter. number =   900 denomin. =        0.1810576E+00

  global error =        0.2078387E-03 iter. number =  1000 denomin. =        0.1826258E+00

  global error =        0.1297408E-03 iter. number =  1100 denomin. =        0.1818037E+00

  convergence  for freq. #   137 achieved in  1189 inner iterations 
 relative error value =       0.99895666E-04


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

  global error =        0.5176193E-02 iter. number =   100 denomin. =        0.2092524E+00

  global error =        0.3235249E-02 iter. number =   200 denomin. =        0.2618376E+00

  global error =        0.1681029E-02 iter. number =   300 denomin. =        0.3241835E+00

  global error =        0.1000242E-02 iter. number =   400 denomin. =        0.3684308E+00

  global error =        0.5910409E-03 iter. number =   500 denomin. =        0.4011006E+00

  global error =        0.3685785E-03 iter. number =   600 denomin. =        0.4189027E+00

  global error =        0.2394061E-03 iter. number =   700 denomin. =        0.4307494E+00

  global error =        0.1596002E-03 iter. number =   800 denomin. =        0.4364830E+00

  global error =        0.1174648E-03 iter. number =   900 denomin. =        0.4401072E+00

  convergence  for freq. #   136 achieved in   940 inner iterations 
 relative error value =       0.99750715E-04


  frequency number   135 frequency :       0.10087500E+01
 jw  real sour, imag sour =    135     -0.24465E+00      0.81774E-01

  global error =        0.9781326E-02 iter. number =   100 denomin. =        0.3880769E+00

  global error =        0.8668250E-02 iter. number =   200 denomin. =        0.2684526E+00

  global error =        0.4376682E-02 iter. number =   300 denomin. =        0.2040043E+00

  global error =        0.3239986E-02 iter. number =   400 denomin. =        0.2225917E+00

  global error =        0.1364272E-02 iter. number =   500 denomin. =        0.2316717E+00

  global error =        0.1165907E-02 iter. number =   600 denomin. =        0.2121636E+00

  global error =        0.5201204E-03 iter. number =   700 denomin. =        0.2083777E+00

  global error =        0.4330278E-03 iter. number =   800 denomin. =        0.2145879E+00

  global error =        0.2317806E-03 iter. number =   900 denomin. =        0.2156449E+00

  global error =        0.2027642E-03 iter. number =  1000 denomin. =        0.2144041E+00

  global error =        0.1437501E-03 iter. number =  1100 denomin. =        0.2142918E+00

  global error =        0.1201307E-03 iter. number =  1200 denomin. =        0.2141408E+00

  convergence  for freq. #   135 achieved in  1298 inner iterations 
 relative error value =       0.99882611E-04


  frequency number   134 frequency :       0.10012500E+01
 jw  real sour, imag sour =    134     -0.25842E+00      0.62808E-01

  global error =        0.6420003E-02 iter. number =   100 denomin. =        0.2546082E+00

  global error =        0.4070591E-02 iter. number =   200 denomin. =        0.3295079E+00

  global error =        0.2058195E-02 iter. number =   300 denomin. =        0.3945129E+00

  global error =        0.1403041E-02 iter. number =   400 denomin. =        0.4216837E+00

  global error =        0.8654435E-03 iter. number =   500 denomin. =        0.4229459E+00

  global error =        0.6033739E-03 iter. number =   600 denomin. =        0.4087194E+00

  global error =        0.4194231E-03 iter. number =   700 denomin. =        0.3912169E+00

  global error =        0.3040011E-03 iter. number =   800 denomin. =        0.3760158E+00

  global error =        0.2358167E-03 iter. number =   900 denomin. =        0.3653021E+00

  global error =        0.1951981E-03 iter. number =  1000 denomin. =        0.3591554E+00

  global error =        0.1675483E-03 iter. number =  1100 denomin. =        0.3562980E+00

  global error =        0.1447646E-03 iter. number =  1200 denomin. =        0.3555769E+00

  global error =        0.1314314E-03 iter. number =  1300 denomin. =        0.3558795E+00

  global error =        0.1214109E-03 iter. number =  1400 denomin. =        0.3565546E+00

  global error =        0.1100065E-03 iter. number =  1500 denomin. =        0.3572065E+00

  global error =        0.1001242E-03 iter. number =  1600 denomin. =        0.3576888E+00

  convergence  for freq. #   134 achieved in  1602 inner iterations 
 relative error value =       0.99974211E-04


  frequency number   133 frequency :       0.99375000E+00
 jw  real sour, imag sour =    133     -0.27083E+00      0.42116E-01

  global error =        0.7609756E-02 iter. number =   100 denomin. =        0.3099374E+00

  global error =        0.6149420E-02 iter. number =   200 denomin. =        0.2181859E+00

  global error =        0.3179335E-02 iter. number =   300 denomin. =        0.2190162E+00

  global error =        0.1942889E-02 iter. number =   400 denomin. =        0.2459504E+00

  global error =        0.1115929E-02 iter. number =   500 denomin. =        0.2287339E+00

  global error =        0.7638908E-03 iter. number =   600 denomin. =        0.2240676E+00

  global error =        0.4849650E-03 iter. number =   700 denomin. =        0.2291027E+00

  global error =        0.3834567E-03 iter. number =   800 denomin. =        0.2270220E+00

  global error =        0.3005602E-03 iter. number =   900 denomin. =        0.2270082E+00

  global error =        0.2587013E-03 iter. number =  1000 denomin. =        0.2281895E+00

  global error =        0.2356827E-03 iter. number =  1100 denomin. =        0.2275604E+00

  global error =        0.2164481E-03 iter. number =  1200 denomin. =        0.2273383E+00

  global error =        0.1924044E-03 iter. number =  1300 denomin. =        0.2275784E+00

  global error =        0.1747510E-03 iter. number =  1400 denomin. =        0.2275300E+00

  global error =        0.1627965E-03 iter. number =  1500 denomin. =        0.2274976E+00

  global error =        0.1471592E-03 iter. number =  1600 denomin. =        0.2275406E+00

  global error =        0.1301018E-03 iter. number =  1700 denomin. =        0.2275207E+00

  global error =        0.1184170E-03 iter. number =  1800 denomin. =        0.2275055E+00

  global error =        0.1103368E-03 iter. number =  1900 denomin. =        0.2275176E+00

  convergence  for freq. #   133 achieved in  1995 inner iterations 
 relative error value =       0.99950365E-04


  frequency number   132 frequency :       0.98625000E+00
 jw  real sour, imag sour =    132     -0.28168E+00      0.19785E-01

  global error =        0.5537461E-02 iter. number =   100 denomin. =        0.2704182E+00

  global error =        0.3756385E-02 iter. number =   200 denomin. =        0.3432176E+00

  global error =        0.1713593E-02 iter. number =   300 denomin. =        0.3946100E+00

  global error =        0.1168839E-02 iter. number =   400 denomin. =        0.4057371E+00

  global error =        0.6873823E-03 iter. number =   500 denomin. =        0.3960459E+00

  global error =        0.4441094E-03 iter. number =   600 denomin. =        0.3812930E+00

  global error =        0.2967769E-03 iter. number =   700 denomin. =        0.3655735E+00

  global error =        0.2052268E-03 iter. number =   800 denomin. =        0.3562325E+00

  global error =        0.1554613E-03 iter. number =   900 denomin. =        0.3514797E+00

  global error =        0.1292230E-03 iter. number =  1000 denomin. =        0.3496929E+00

  global error =        0.1093522E-03 iter. number =  1100 denomin. =        0.3498486E+00

  convergence  for freq. #   132 achieved in  1189 inner iterations 
 relative error value =       0.99960700E-04


  frequency number   131 frequency :       0.97875000E+00
 jw  real sour, imag sour =    131     -0.29079E+00     -0.40790E-02

  global error =        0.7177027E-02 iter. number =   100 denomin. =        0.3377820E+00

  global error =        0.4268738E-02 iter. number =   200 denomin. =        0.3342656E+00

  global error =        0.2203390E-02 iter. number =   300 denomin. =        0.3889045E+00

  global error =        0.1502751E-02 iter. number =   400 denomin. =        0.4496082E+00

  global error =        0.6567610E-03 iter. number =   500 denomin. =        0.4686440E+00

  global error =        0.5284320E-03 iter. number =   600 denomin. =        0.4745124E+00

  global error =        0.2783649E-03 iter. number =   700 denomin. =        0.4801190E+00

  global error =        0.1876294E-03 iter. number =   800 denomin. =        0.4764939E+00

  global error =        0.1395443E-03 iter. number =   900 denomin. =        0.4732590E+00

  convergence  for freq. #   131 achieved in   980 inner iterations 
 relative error value =       0.99802204E-04


  frequency number   130 frequency :       0.97125000E+00
 jw  real sour, imag sour =    130     -0.29798E+00     -0.29349E-01

  global error =        0.8511022E-02 iter. number =   100 denomin. =        0.5304604E+00

  global error =        0.5833507E-02 iter. number =   200 denomin. =        0.5782583E+00

  global error =        0.3703238E-02 iter. number =   300 denomin. =        0.4850280E+00

  global error =        0.2364808E-02 iter. number =   400 denomin. =        0.3558909E+00

  global error =        0.1817036E-02 iter. number =   500 denomin. =        0.3085402E+00

  global error =        0.9266820E-03 iter. number =   600 denomin. =        0.3232038E+00

  global error =        0.6149584E-03 iter. number =   700 denomin. =        0.3462033E+00

  global error =        0.3880937E-03 iter. number =   800 denomin. =        0.3499629E+00

  global error =        0.2446267E-03 iter. number =   900 denomin. =        0.3435112E+00

  global error =        0.1921211E-03 iter. number =  1000 denomin. =        0.3387349E+00

  global error =        0.1419071E-03 iter. number =  1100 denomin. =        0.3387105E+00

  global error =        0.1227970E-03 iter. number =  1200 denomin. =        0.3405199E+00

  global error =        0.1076583E-03 iter. number =  1300 denomin. =        0.3413017E+00

  convergence  for freq. #   130 achieved in  1359 inner iterations 
 relative error value =       0.99885978E-04


  frequency number   129 frequency :       0.96375000E+00
 jw  real sour, imag sour =    129     -0.30306E+00     -0.55875E-01

  global error =        0.4592831E-02 iter. number =   100 denomin. =        0.3406015E+00

  global error =        0.2431912E-02 iter. number =   200 denomin. =        0.3466921E+00

  global error =        0.1317722E-02 iter. number =   300 denomin. =        0.3900272E+00

  global error =        0.8662021E-03 iter. number =   400 denomin. =        0.3923930E+00

  global error =        0.4938271E-03 iter. number =   500 denomin. =        0.3920487E+00

  global error =        0.4191700E-03 iter. number =   600 denomin. =        0.3846346E+00

  global error =        0.3036213E-03 iter. number =   700 denomin. =        0.3816960E+00

  global error =        0.2633732E-03 iter. number =   800 denomin. =        0.3833895E+00

  global error =        0.2357127E-03 iter. number =   900 denomin. =        0.3839780E+00

  global error =        0.2105978E-03 iter. number =  1000 denomin. =        0.3851332E+00

  global error =        0.1961795E-03 iter. number =  1100 denomin. =        0.3846011E+00

  global error =        0.1831279E-03 iter. number =  1200 denomin. =        0.3844994E+00

  global error =        0.1727289E-03 iter. number =  1300 denomin. =        0.3843268E+00

  global error =        0.1605792E-03 iter. number =  1400 denomin. =        0.3843915E+00

  global error =        0.1510568E-03 iter. number =  1500 denomin. =        0.3844848E+00

  global error =        0.1400420E-03 iter. number =  1600 denomin. =        0.3845024E+00

  global error =        0.1308224E-03 iter. number =  1700 denomin. =        0.3845165E+00

  global error =        0.1203242E-03 iter. number =  1800 denomin. =        0.3845020E+00

  global error =        0.1083122E-03 iter. number =  1900 denomin. =        0.3845052E+00

  convergence  for freq. #   129 achieved in  1972 inner iterations 
 relative error value =       0.99917834E-04


  frequency number   128 frequency :       0.95625000E+00
 jw  real sour, imag sour =    128     -0.30586E+00     -0.83491E-01

  global error =        0.6481309E-02 iter. number =   100 denomin. =        0.4574380E+00

  global error =        0.4570876E-02 iter. number =   200 denomin. =        0.5786054E+00

  global error =        0.2126652E-02 iter. number =   300 denomin. =        0.6422004E+00

  global error =        0.1286858E-02 iter. number =   400 denomin. =        0.6424595E+00

  global error =        0.8860157E-03 iter. number =   500 denomin. =        0.6077745E+00

  global error =        0.5883053E-03 iter. number =   600 denomin. =        0.5798952E+00

  global error =        0.4833726E-03 iter. number =   700 denomin. =        0.5617387E+00

  global error =        0.4151357E-03 iter. number =   800 denomin. =        0.5499093E+00

  global error =        0.3765296E-03 iter. number =   900 denomin. =        0.5458040E+00

  global error =        0.3441244E-03 iter. number =  1000 denomin. =        0.5462953E+00

  global error =        0.3176677E-03 iter. number =  1100 denomin. =        0.5472731E+00

  global error =        0.2947988E-03 iter. number =  1200 denomin. =        0.5478955E+00

  global error =        0.2738643E-03 iter. number =  1300 denomin. =        0.5484694E+00

  global error =        0.2547109E-03 iter. number =  1400 denomin. =        0.5488210E+00

  global error =        0.2389125E-03 iter. number =  1500 denomin. =        0.5488919E+00

  global error =        0.2239417E-03 iter. number =  1600 denomin. =        0.5488577E+00

  global error =        0.2101797E-03 iter. number =  1700 denomin. =        0.5488368E+00

  global error =        0.1994786E-03 iter. number =  1800 denomin. =        0.5488345E+00

  global error =        0.1893586E-03 iter. number =  1900 denomin. =        0.5488230E+00

  global error =        0.1789188E-03 iter. number =  2000 denomin. =        0.5488195E+00

  global error =        0.1695865E-03 iter. number =  2100 denomin. =        0.5488278E+00

  global error =        0.1614849E-03 iter. number =  2200 denomin. =        0.5488318E+00

  global error =        0.1536898E-03 iter. number =  2300 denomin. =        0.5488362E+00

  global error =        0.1451549E-03 iter. number =  2400 denomin. =        0.5488445E+00

  global error =        0.1362320E-03 iter. number =  2500 denomin. =        0.5488465E+00

  global error =        0.1285840E-03 iter. number =  2600 denomin. =        0.5488515E+00

  global error =        0.1214083E-03 iter. number =  2700 denomin. =        0.5488573E+00

  global error =        0.1144483E-03 iter. number =  2800 denomin. =        0.5488549E+00

  global error =        0.1074782E-03 iter. number =  2900 denomin. =        0.5488573E+00

  global error =        0.1012996E-03 iter. number =  3000 denomin. =        0.5488585E+00

  convergence  for freq. #   128 achieved in  3023 inner iterations 
 relative error value =       0.99991198E-04


  frequency number   127 frequency :       0.94875000E+00
 jw  real sour, imag sour =    127     -0.30625E+00     -0.11201E+00

  global error =        0.7341460E-02 iter. number =   100 denomin. =        0.5234510E+00

  global error =        0.3860553E-02 iter. number =   200 denomin. =        0.5186991E+00

  global error =        0.1697320E-02 iter. number =   300 denomin. =        0.6075267E+00

  global error =        0.1179882E-02 iter. number =   400 denomin. =        0.6956867E+00

  global error =        0.7138298E-03 iter. number =   500 denomin. =        0.7570951E+00

  global error =        0.5330885E-03 iter. number =   600 denomin. =        0.7985336E+00

  global error =        0.4458901E-03 iter. number =   700 denomin. =        0.8273189E+00

  global error =        0.3773372E-03 iter. number =   800 denomin. =        0.8452277E+00

  global error =        0.3416029E-03 iter. number =   900 denomin. =        0.8563892E+00

  global error =        0.3087018E-03 iter. number =  1000 denomin. =        0.8635073E+00

  global error =        0.2854155E-03 iter. number =  1100 denomin. =        0.8677002E+00

  global error =        0.2652971E-03 iter. number =  1200 denomin. =        0.8702257E+00

  global error =        0.2467258E-03 iter. number =  1300 denomin. =        0.8717221E+00

  global error =        0.2312328E-03 iter. number =  1400 denomin. =        0.8725790E+00

  global error =        0.2138619E-03 iter. number =  1500 denomin. =        0.8730636E+00

  global error =        0.1979254E-03 iter. number =  1600 denomin. =        0.8733224E+00

  global error =        0.1850037E-03 iter. number =  1700 denomin. =        0.8734793E+00

  global error =        0.1710176E-03 iter. number =  1800 denomin. =        0.8735463E+00

  global error =        0.1578991E-03 iter. number =  1900 denomin. =        0.8735795E+00

  global error =        0.1475584E-03 iter. number =  2000 denomin. =        0.8736099E+00

  global error =        0.1377204E-03 iter. number =  2100 denomin. =        0.8736040E+00

  global error =        0.1270417E-03 iter. number =  2200 denomin. =        0.8736050E+00

  global error =        0.1153064E-03 iter. number =  2300 denomin. =        0.8736125E+00

  global error =        0.1050991E-03 iter. number =  2400 denomin. =        0.8736084E+00

  convergence  for freq. #   127 achieved in  2466 inner iterations 
 relative error value =       0.99964830E-04


  frequency number   126 frequency :       0.94125000E+00
 jw  real sour, imag sour =    126     -0.30408E+00     -0.14122E+00

  global error =        0.9247439E-02 iter. number =   100 denomin. =        0.8526320E+00

  global error =        0.7024165E-02 iter. number =   200 denomin. =        0.6877471E+00

  global error =        0.5154580E-02 iter. number =   300 denomin. =        0.4430701E+00

  global error =        0.3029916E-02 iter. number =   400 denomin. =        0.3392901E+00

  global error =        0.2020810E-02 iter. number =   500 denomin. =        0.3886604E+00

  global error =        0.1049614E-02 iter. number =   600 denomin. =        0.4154904E+00

  global error =        0.7954065E-03 iter. number =   700 denomin. =        0.3988417E+00

  global error =        0.5820536E-03 iter. number =   800 denomin. =        0.3875646E+00

  global error =        0.4639770E-03 iter. number =   900 denomin. =        0.3895475E+00

  global error =        0.3882379E-03 iter. number =  1000 denomin. =        0.3936930E+00

  global error =        0.3382981E-03 iter. number =  1100 denomin. =        0.3939525E+00

  global error =        0.2925656E-03 iter. number =  1200 denomin. =        0.3923676E+00

  global error =        0.2534040E-03 iter. number =  1300 denomin. =        0.3920146E+00

  global error =        0.2251221E-03 iter. number =  1400 denomin. =        0.3925074E+00

  global error =        0.2000120E-03 iter. number =  1500 denomin. =        0.3926752E+00

  global error =        0.1808966E-03 iter. number =  1600 denomin. =        0.3925386E+00

  global error =        0.1633545E-03 iter. number =  1700 denomin. =        0.3924609E+00

  global error =        0.1481803E-03 iter. number =  1800 denomin. =        0.3924856E+00

  global error =        0.1353072E-03 iter. number =  1900 denomin. =        0.3925167E+00

  global error =        0.1193909E-03 iter. number =  2000 denomin. =        0.3925141E+00

  global error =        0.1074205E-03 iter. number =  2100 denomin. =        0.3925013E+00

  convergence  for freq. #   126 achieved in  2174 inner iterations 
 relative error value =       0.99913525E-04


  frequency number   125 frequency :       0.93375000E+00
 jw  real sour, imag sour =    125     -0.29922E+00     -0.17089E+00

  global error =        0.4038486E-02 iter. number =   100 denomin. =        0.4458031E+00

  global error =        0.2328274E-02 iter. number =   200 denomin. =        0.5406593E+00

  global error =        0.1247063E-02 iter. number =   300 denomin. =        0.6533838E+00

  global error =        0.7287629E-03 iter. number =   400 denomin. =        0.7173326E+00

  global error =        0.4502046E-03 iter. number =   500 denomin. =        0.7392509E+00

  global error =        0.3379544E-03 iter. number =   600 denomin. =        0.7382731E+00

  global error =        0.2495306E-03 iter. number =   700 denomin. =        0.7294316E+00

  global error =        0.2022096E-03 iter. number =   800 denomin. =        0.7210751E+00

  global error =        0.1705369E-03 iter. number =   900 denomin. =        0.7157820E+00

  global error =        0.1409730E-03 iter. number =  1000 denomin. =        0.7134525E+00

  global error =        0.1161480E-03 iter. number =  1100 denomin. =        0.7129627E+00

  global error =        0.1033863E-03 iter. number =  1200 denomin. =        0.7132944E+00

  convergence  for freq. #   125 achieved in  1226 inner iterations 
 relative error value =       0.99858941E-04


  frequency number   124 frequency :       0.92625000E+00
 jw  real sour, imag sour =    124     -0.29158E+00     -0.20080E+00

  global error =        0.7827765E-02 iter. number =   100 denomin. =        0.8244267E+00

  global error =        0.5530739E-02 iter. number =   200 denomin. =        0.9838651E+00

  global error =        0.3012981E-02 iter. number =   300 denomin. =        0.9624651E+00

  global error =        0.2030967E-02 iter. number =   400 denomin. =        0.7851285E+00

  global error =        0.1537039E-02 iter. number =   500 denomin. =        0.6372037E+00

  global error =        0.9074874E-03 iter. number =   600 denomin. =        0.6022904E+00

  global error =        0.6308774E-03 iter. number =   700 denomin. =        0.6271332E+00

  global error =        0.4052610E-03 iter. number =   800 denomin. =        0.6541553E+00

  global error =        0.3002352E-03 iter. number =   900 denomin. =        0.6631444E+00

  global error =        0.2259300E-03 iter. number =  1000 denomin. =        0.6593359E+00

  global error =        0.1828122E-03 iter. number =  1100 denomin. =        0.6530684E+00

  global error =        0.1538838E-03 iter. number =  1200 denomin. =        0.6500022E+00

  global error =        0.1212024E-03 iter. number =  1300 denomin. =        0.6502937E+00

  global error =        0.1004255E-03 iter. number =  1400 denomin. =        0.6516936E+00

  convergence  for freq. #   124 achieved in  1403 inner iterations 
 relative error value =       0.99914325E-04


  frequency number   123 frequency :       0.91875000E+00
 jw  real sour, imag sour =    123     -0.28108E+00     -0.23068E+00

  global error =        0.6319775E-02 iter. number =   100 denomin. =        0.6672516E+00

  global error =        0.3032121E-02 iter. number =   200 denomin. =        0.7349744E+00

  global error =        0.1703247E-02 iter. number =   300 denomin. =        0.8626207E+00

  global error =        0.9728455E-03 iter. number =   400 denomin. =        0.9371478E+00

  global error =        0.4314360E-03 iter. number =   500 denomin. =        0.9752544E+00

  global error =        0.3316948E-03 iter. number =   600 denomin. =        0.9968001E+00

  global error =        0.2028680E-03 iter. number =   700 denomin. =        0.1006742E+01

  global error =        0.1424066E-03 iter. number =   800 denomin. =        0.1010582E+01

  global error =        0.1167245E-03 iter. number =   900 denomin. =        0.1013306E+01

  convergence  for freq. #   123 achieved in   967 inner iterations 
 relative error value =       0.99763954E-04


  frequency number   122 frequency :       0.91125000E+00
 jw  real sour, imag sour =    122     -0.26766E+00     -0.26026E+00

  global error =        0.8058961E-02 iter. number =   100 denomin. =        0.9890158E+00

  global error =        0.5426113E-02 iter. number =   200 denomin. =        0.8329473E+00

  global error =        0.2878167E-02 iter. number =   300 denomin. =        0.7035325E+00

  global error =        0.1509084E-02 iter. number =   400 denomin. =        0.6910210E+00

  global error =        0.9731297E-03 iter. number =   500 denomin. =        0.7157120E+00

  global error =        0.4637391E-03 iter. number =   600 denomin. =        0.7137638E+00

  global error =        0.3387477E-03 iter. number =   700 denomin. =        0.7051360E+00

  global error =        0.1955206E-03 iter. number =   800 denomin. =        0.7054933E+00

  global error =        0.1534506E-03 iter. number =   900 denomin. =        0.7083543E+00

  global error =        0.1081374E-03 iter. number =  1000 denomin. =        0.7079714E+00

  convergence  for freq. #   122 achieved in  1041 inner iterations 
 relative error value =       0.99999104E-04


  frequency number   121 frequency :       0.90375000E+00
 jw  real sour, imag sour =    121     -0.25129E+00     -0.28926E+00

  global error =        0.5030685E-02 iter. number =   100 denomin. =        0.8067537E+00

  global error =        0.2964395E-02 iter. number =   200 denomin. =        0.1012319E+01

  global error =        0.1363323E-02 iter. number =   300 denomin. =        0.1251230E+01

  global error =        0.7993964E-03 iter. number =   400 denomin. =        0.1425474E+01

  global error =        0.4126025E-03 iter. number =   500 denomin. =        0.1540881E+01

  global error =        0.2786995E-03 iter. number =   600 denomin. =        0.1604265E+01

  global error =        0.1567447E-03 iter. number =   700 denomin. =        0.1637350E+01

  global error =        0.1149623E-03 iter. number =   800 denomin. =        0.1651820E+01

  convergence  for freq. #   121 achieved in   835 inner iterations 
 relative error value =       0.99982260E-04


  frequency number   120 frequency :       0.89625000E+00
 jw  real sour, imag sour =    120     -0.23196E+00     -0.31739E+00

  global error =        0.9095983E-02 iter. number =   100 denomin. =        0.1678395E+01

  global error =        0.6958729E-02 iter. number =   200 denomin. =        0.1487365E+01

  global error =        0.3323734E-02 iter. number =   300 denomin. =        0.1078630E+01

  global error =        0.2431569E-02 iter. number =   400 denomin. =        0.8144864E+00

  global error =        0.1097718E-02 iter. number =   500 denomin. =        0.8018844E+00

  global error =        0.5746603E-03 iter. number =   600 denomin. =        0.8503398E+00

  global error =        0.3356747E-03 iter. number =   700 denomin. =        0.8636527E+00

  global error =        0.1666550E-03 iter. number =   800 denomin. =        0.8556135E+00

  global error =        0.1248811E-03 iter. number =   900 denomin. =        0.8494142E+00

  convergence  for freq. #   120 achieved in   941 inner iterations 
 relative error value =       0.99854633E-04


  frequency number   119 frequency :       0.88875000E+00
 jw  real sour, imag sour =    119     -0.20971E+00     -0.34437E+00

  global error =        0.5797843E-02 iter. number =   100 denomin. =        0.9044984E+00

  global error =        0.2780977E-02 iter. number =   200 denomin. =        0.1048781E+01

  global error =        0.1470741E-02 iter. number =   300 denomin. =        0.1244629E+01

  global error =        0.8256649E-03 iter. number =   400 denomin. =        0.1384607E+01

  global error =        0.5274654E-03 iter. number =   500 denomin. =        0.1479868E+01

  global error =        0.3010498E-03 iter. number =   600 denomin. =        0.1534339E+01

  global error =        0.2009152E-03 iter. number =   700 denomin. =        0.1566479E+01

  global error =        0.1234807E-03 iter. number =   800 denomin. =        0.1583608E+01

  convergence  for freq. #   119 achieved in   853 inner iterations 
 relative error value =       0.99792387E-04


  frequency number   118 frequency :       0.88125000E+00
 jw  real sour, imag sour =    118     -0.18457E+00     -0.36989E+00

  global error =        0.8295099E-02 iter. number =   100 denomin. =        0.1494966E+01

  global error =        0.6265571E-02 iter. number =   200 denomin. =        0.1181355E+01

  global error =        0.3344233E-02 iter. number =   300 denomin. =        0.9712810E+00

  global error =        0.2325532E-02 iter. number =   400 denomin. =        0.9895415E+00

  global error =        0.1069999E-02 iter. number =   500 denomin. =        0.1051534E+01

  global error =        0.7539801E-03 iter. number =   600 denomin. =        0.1015277E+01

  global error =        0.3985403E-03 iter. number =   700 denomin. =        0.9807976E+00

  global error =        0.2521642E-03 iter. number =   800 denomin. =        0.9905643E+00

  global error =        0.1455569E-03 iter. number =   900 denomin. =        0.1003390E+01

  convergence  for freq. #   118 achieved in   965 inner iterations 
 relative error value =       0.99825407E-04


  frequency number   117 frequency :       0.87375000E+00
 jw  real sour, imag sour =    117     -0.15663E+00     -0.39366E+00

  global error =        0.5851920E-02 iter. number =   100 denomin. =        0.1220463E+01

  global error =        0.3622720E-02 iter. number =   200 denomin. =        0.1610875E+01

  global error =        0.1822215E-02 iter. number =   300 denomin. =        0.1968544E+01

  global error =        0.1065650E-02 iter. number =   400 denomin. =        0.2127156E+01

  global error =        0.6471963E-03 iter. number =   500 denomin. =        0.2163666E+01

  global error =        0.3883623E-03 iter. number =   600 denomin. =        0.2131223E+01

  global error =        0.2401619E-03 iter. number =   700 denomin. =        0.2083313E+01

  global error =        0.1455442E-03 iter. number =   800 denomin. =        0.2038457E+01

  convergence  for freq. #   117 achieved in   871 inner iterations 
 relative error value =       0.99693869E-04


  frequency number   116 frequency :       0.86625000E+00
 jw  real sour, imag sour =    116     -0.12600E+00     -0.41538E+00

  global error =        0.8225413E-02 iter. number =   100 denomin. =        0.1820574E+01

  global error =        0.6100241E-02 iter. number =   200 denomin. =        0.1378755E+01

  global error =        0.3255476E-02 iter. number =   300 denomin. =        0.1271018E+01

  global error =        0.2064360E-02 iter. number =   400 denomin. =        0.1477476E+01

  global error =        0.1108581E-02 iter. number =   500 denomin. =        0.1472776E+01

  global error =        0.7666909E-03 iter. number =   600 denomin. =        0.1374194E+01

  global error =        0.4343146E-03 iter. number =   700 denomin. =        0.1392724E+01

  global error =        0.2809391E-03 iter. number =   800 denomin. =        0.1415596E+01

  global error =        0.1659352E-03 iter. number =   900 denomin. =        0.1402089E+01

  global error =        0.1060300E-03 iter. number =  1000 denomin. =        0.1399978E+01

  convergence  for freq. #   116 achieved in  1010 inner iterations 
 relative error value =       0.99562025E-04


  frequency number   115 frequency :       0.85875000E+00
 jw  real sour, imag sour =    115     -0.92836E-01     -0.43476E+00

  global error =        0.6183862E-02 iter. number =   100 denomin. =        0.1605958E+01

  global error =        0.3776891E-02 iter. number =   200 denomin. =        0.1977638E+01

  global error =        0.1836897E-02 iter. number =   300 denomin. =        0.2277830E+01

  global error =        0.9015121E-03 iter. number =   400 denomin. =        0.2357497E+01

  global error =        0.4664914E-03 iter. number =   500 denomin. =        0.2345198E+01

  global error =        0.2120365E-03 iter. number =   600 denomin. =        0.2296791E+01

  global error =        0.1238468E-03 iter. number =   700 denomin. =        0.2261467E+01

  convergence  for freq. #   115 achieved in   725 inner iterations 
 relative error value =       0.99397690E-04


  frequency number   114 frequency :       0.85125000E+00
 jw  real sour, imag sour =    114     -0.57297E-01     -0.45152E+00

  global error =        0.7392558E-02 iter. number =   100 denomin. =        0.2093374E+01

  global error =        0.4380327E-02 iter. number =   200 denomin. =        0.1721201E+01

  global error =        0.1863256E-02 iter. number =   300 denomin. =        0.1670738E+01

  global error =        0.1157398E-02 iter. number =   400 denomin. =        0.1840900E+01

  global error =        0.5527019E-03 iter. number =   500 denomin. =        0.1818522E+01

  global error =        0.3710405E-03 iter. number =   600 denomin. =        0.1757461E+01

  global error =        0.1739108E-03 iter. number =   700 denomin. =        0.1758730E+01

  global error =        0.1170519E-03 iter. number =   800 denomin. =        0.1756483E+01

  convergence  for freq. #   114 achieved in   818 inner iterations 
 relative error value =       0.99318374E-04


  frequency number   113 frequency :       0.84375000E+00
 jw  real sour, imag sour =    113     -0.19593E-01     -0.46539E+00

  global error =        0.6590129E-02 iter. number =   100 denomin. =        0.2019128E+01

  global error =        0.4247792E-02 iter. number =   200 denomin. =        0.2463298E+01

  global error =        0.1842279E-02 iter. number =   300 denomin. =        0.2744194E+01

  global error =        0.1057579E-02 iter. number =   400 denomin. =        0.2739924E+01

  global error =        0.5920691E-03 iter. number =   500 denomin. =        0.2668393E+01

  global error =        0.2989502E-03 iter. number =   600 denomin. =        0.2585833E+01

  global error =        0.1932546E-03 iter. number =   700 denomin. =        0.2510134E+01

  convergence  for freq. #   113 achieved in   783 inner iterations 
 relative error value =       0.99767179E-04


  frequency number   112 frequency :       0.83625000E+00
 jw  real sour, imag sour =    112      0.20044E-01     -0.47612E+00

  global error =        0.7130702E-02 iter. number =   100 denomin. =        0.2238326E+01

  global error =        0.3947949E-02 iter. number =   200 denomin. =        0.1919271E+01

  global error =        0.1517260E-02 iter. number =   300 denomin. =        0.2070503E+01

  global error =        0.9579787E-03 iter. number =   400 denomin. =        0.2332254E+01

  global error =        0.3908360E-03 iter. number =   500 denomin. =        0.2420148E+01

  global error =        0.2809705E-03 iter. number =   600 denomin. =        0.2416107E+01

  global error =        0.1391795E-03 iter. number =   700 denomin. =        0.2396399E+01

  convergence  for freq. #   112 achieved in   775 inner iterations 
 relative error value =       0.99842864E-04


  frequency number   111 frequency :       0.82875000E+00
 jw  real sour, imag sour =    111      0.61352E-01     -0.48347E+00

  global error =        0.7738815E-02 iter. number =   100 denomin. =        0.2742391E+01

  global error =        0.5371271E-02 iter. number =   200 denomin. =        0.3236624E+01

  global error =        0.2691617E-02 iter. number =   300 denomin. =        0.3210262E+01

  global error =        0.2104477E-02 iter. number =   400 denomin. =        0.2645021E+01

  global error =        0.1321831E-02 iter. number =   500 denomin. =        0.2180759E+01

  global error =        0.9131886E-03 iter. number =   600 denomin. =        0.1954237E+01

  global error =        0.5479641E-03 iter. number =   700 denomin. =        0.1928780E+01

  global error =        0.3396684E-03 iter. number =   800 denomin. =        0.1995885E+01

  global error =        0.2044290E-03 iter. number =   900 denomin. =        0.2055738E+01

  global error =        0.1268471E-03 iter. number =  1000 denomin. =        0.2078651E+01

  convergence  for freq. #   111 achieved in  1053 inner iterations 
 relative error value =       0.99826818E-04


  frequency number   110 frequency :       0.82125000E+00
 jw  real sour, imag sour =    110      0.10404E+00     -0.48724E+00

  global error =        0.5571147E-02 iter. number =   100 denomin. =        0.2127624E+01

  global error =        0.2641255E-02 iter. number =   200 denomin. =        0.2253969E+01

  global error =        0.1659439E-02 iter. number =   300 denomin. =        0.2682435E+01

  global error =        0.7404211E-03 iter. number =   400 denomin. =        0.2970741E+01

  global error =        0.4110449E-03 iter. number =   500 denomin. =        0.3008351E+01

  global error =        0.2433850E-03 iter. number =   600 denomin. =        0.3044351E+01

  global error =        0.1115897E-03 iter. number =   700 denomin. =        0.3030201E+01

  convergence  for freq. #   110 achieved in   769 inner iterations 
 relative error value =       0.99929140E-04


  frequency number   109 frequency :       0.81375000E+00
 jw  real sour, imag sour =    109      0.14780E+00     -0.48723E+00

  global error =        0.7433146E-02 iter. number =   100 denomin. =        0.3434659E+01

  global error =        0.5170422E-02 iter. number =   200 denomin. =        0.4031484E+01

  global error =        0.2526120E-02 iter. number =   300 denomin. =        0.4032284E+01

  global error =        0.1643138E-02 iter. number =   400 denomin. =        0.3452635E+01

  global error =        0.1065910E-02 iter. number =   500 denomin. =        0.2954137E+01

  global error =        0.5963955E-03 iter. number =   600 denomin. =        0.2846703E+01

  global error =        0.3737388E-03 iter. number =   700 denomin. =        0.2914867E+01

  global error =        0.1982720E-03 iter. number =   800 denomin. =        0.2989407E+01

  global error =        0.1248211E-03 iter. number =   900 denomin. =        0.3018573E+01

  convergence  for freq. #   109 achieved in   939 inner iterations 
 relative error value =       0.99717017E-04


  frequency number   108 frequency :       0.80625000E+00
 jw  real sour, imag sour =    108      0.19229E+00     -0.48328E+00

  global error =        0.6378162E-02 iter. number =   100 denomin. =        0.3138850E+01

  global error =        0.3254003E-02 iter. number =   200 denomin. =        0.3498281E+01

  global error =        0.1576120E-02 iter. number =   300 denomin. =        0.4127836E+01

  global error =        0.8867489E-03 iter. number =   400 denomin. =        0.4558395E+01

  global error =        0.3261445E-03 iter. number =   500 denomin. =        0.4746691E+01

  global error =        0.2155439E-03 iter. number =   600 denomin. =        0.4850584E+01

  global error =        0.1048055E-03 iter. number =   700 denomin. =        0.4898362E+01

  convergence  for freq. #   108 achieved in   705 inner iterations 
 relative error value =       0.99882359E-04


  frequency number   107 frequency :       0.79875000E+00
 jw  real sour, imag sour =    107      0.23715E+00     -0.47527E+00

  global error =        0.8504738E-02 iter. number =   100 denomin. =        0.4942384E+01

  global error =        0.5864164E-02 iter. number =   200 denomin. =        0.4375304E+01

  global error =        0.2893995E-02 iter. number =   300 denomin. =        0.3431665E+01

  global error =        0.1554912E-02 iter. number =   400 denomin. =        0.2990861E+01

  global error =        0.8999125E-03 iter. number =   500 denomin. =        0.3168119E+01

  global error =        0.4041499E-03 iter. number =   600 denomin. =        0.3259915E+01

  global error =        0.2587776E-03 iter. number =   700 denomin. =        0.3182787E+01

  global error =        0.1237805E-03 iter. number =   800 denomin. =        0.3160330E+01

  convergence  for freq. #   107 achieved in   871 inner iterations 
 relative error value =       0.99859314E-04


  frequency number   106 frequency :       0.79125000E+00
 jw  real sour, imag sour =    106      0.28200E+00     -0.46309E+00

  global error =        0.5327806E-02 iter. number =   100 denomin. =        0.3371482E+01

  global error =        0.2659544E-02 iter. number =   200 denomin. =        0.3861834E+01

  global error =        0.1232914E-02 iter. number =   300 denomin. =        0.4598759E+01

  global error =        0.7031178E-03 iter. number =   400 denomin. =        0.5109598E+01

  global error =        0.3770053E-03 iter. number =   500 denomin. =        0.5433587E+01

  global error =        0.2525978E-03 iter. number =   600 denomin. =        0.5553893E+01

  global error =        0.1359271E-03 iter. number =   700 denomin. =        0.5589158E+01

  global error =        0.1077718E-03 iter. number =   800 denomin. =        0.5570784E+01

  convergence  for freq. #   106 achieved in   821 inner iterations 
 relative error value =       0.99636659E-04


  frequency number   105 frequency :       0.78375000E+00
 jw  real sour, imag sour =    105      0.32646E+00     -0.44669E+00

  global error =        0.8616932E-02 iter. number =   100 denomin. =        0.5932690E+01

  global error =        0.6123777E-02 iter. number =   200 denomin. =        0.6035030E+01

  global error =        0.2917025E-02 iter. number =   300 denomin. =        0.5073597E+01

  global error =        0.1914115E-02 iter. number =   400 denomin. =        0.4052351E+01

  global error =        0.1330157E-02 iter. number =   500 denomin. =        0.3527352E+01

  global error =        0.9052636E-03 iter. number =   600 denomin. =        0.3489613E+01

  global error =        0.7735299E-03 iter. number =   700 denomin. =        0.3611853E+01

  global error =        0.7152456E-03 iter. number =   800 denomin. =        0.3691689E+01

  global error =        0.6850186E-03 iter. number =   900 denomin. =        0.3696616E+01

  global error =        0.6712348E-03 iter. number =  1000 denomin. =        0.3673202E+01

  global error =        0.6588410E-03 iter. number =  1100 denomin. =        0.3659769E+01

  global error =        0.6459521E-03 iter. number =  1200 denomin. =        0.3659869E+01

  global error =        0.6338875E-03 iter. number =  1300 denomin. =        0.3663066E+01

  global error =        0.6217757E-03 iter. number =  1400 denomin. =        0.3664103E+01

  global error =        0.6103575E-03 iter. number =  1500 denomin. =        0.3663853E+01

  global error =        0.5990087E-03 iter. number =  1600 denomin. =        0.3663518E+01

  global error =        0.5879098E-03 iter. number =  1700 denomin. =        0.3662960E+01

  global error =        0.5771236E-03 iter. number =  1800 denomin. =        0.3662283E+01

  global error =        0.5663776E-03 iter. number =  1900 denomin. =        0.3662058E+01

  global error =        0.5558840E-03 iter. number =  2000 denomin. =        0.3662201E+01

  global error =        0.5455705E-03 iter. number =  2100 denomin. =        0.3662070E+01

  global error =        0.5354607E-03 iter. number =  2200 denomin. =        0.3661559E+01

  global error =        0.5255605E-03 iter. number =  2300 denomin. =        0.3661190E+01

  global error =        0.5157861E-03 iter. number =  2400 denomin. =        0.3661187E+01

  global error =        0.5062110E-03 iter. number =  2500 denomin. =        0.3661178E+01

  global error =        0.4968293E-03 iter. number =  2600 denomin. =        0.3660886E+01

  global error =        0.4876207E-03 iter. number =  2700 denomin. =        0.3660533E+01

  global error =        0.4785779E-03 iter. number =  2800 denomin. =        0.3660392E+01

  global error =        0.4696901E-03 iter. number =  2900 denomin. =        0.3660353E+01

  global error =        0.4609805E-03 iter. number =  3000 denomin. =        0.3660171E+01

  global error =        0.4524405E-03 iter. number =  3100 denomin. =        0.3659884E+01

  global error =        0.4440521E-03 iter. number =  3200 denomin. =        0.3659693E+01

  global error =        0.4358168E-03 iter. number =  3300 denomin. =        0.3659605E+01

  global error =        0.4277380E-03 iter. number =  3400 denomin. =        0.3659458E+01

  global error =        0.4198156E-03 iter. number =  3500 denomin. =        0.3659222E+01

  global error =        0.4120397E-03 iter. number =  3600 denomin. =        0.3659025E+01

  global error =        0.4044050E-03 iter. number =  3700 denomin. =        0.3658909E+01

  global error =        0.3969140E-03 iter. number =  3800 denomin. =        0.3658776E+01

  global error =        0.3895644E-03 iter. number =  3900 denomin. =        0.3658591E+01

  global error =        0.3823510E-03 iter. number =  4000 denomin. =        0.3658436E+01

  NO convergence  for freq. #   105 after   4001 inner iterations 
 relative error value reduction =       0.38235097E-03


  frequency number   104 frequency :       0.77625000E+00
 jw  real sour, imag sour =    104      0.37012E+00     -0.42604E+00

  global error =        0.6460538E-02 iter. number =   100 denomin. =        0.3862097E+01

  global error =        0.3339821E-02 iter. number =   200 denomin. =        0.4507779E+01

  global error =        0.1752170E-02 iter. number =   300 denomin. =        0.5313583E+01

  global error =        0.1132780E-02 iter. number =   400 denomin. =        0.5756342E+01

  global error =        0.7925411E-03 iter. number =   500 denomin. =        0.5958680E+01

  global error =        0.5920618E-03 iter. number =   600 denomin. =        0.5985191E+01

  global error =        0.5009693E-03 iter. number =   700 denomin. =        0.5944408E+01

  global error =        0.4517562E-03 iter. number =   800 denomin. =        0.5878314E+01

  global error =        0.4216082E-03 iter. number =   900 denomin. =        0.5816547E+01

  global error =        0.4016208E-03 iter. number =  1000 denomin. =        0.5767493E+01

  global error =        0.3838697E-03 iter. number =  1100 denomin. =        0.5732993E+01

  global error =        0.3677455E-03 iter. number =  1200 denomin. =        0.5710808E+01

  global error =        0.3527334E-03 iter. number =  1300 denomin. =        0.5697728E+01

  global error =        0.3381752E-03 iter. number =  1400 denomin. =        0.5690528E+01

  global error =        0.3246838E-03 iter. number =  1500 denomin. =        0.5686937E+01

  global error =        0.3113678E-03 iter. number =  1600 denomin. =        0.5685485E+01

  global error =        0.2986185E-03 iter. number =  1700 denomin. =        0.5685142E+01

  global error =        0.2866252E-03 iter. number =  1800 denomin. =        0.5685179E+01

  global error =        0.2749359E-03 iter. number =  1900 denomin. =        0.5685436E+01

  global error =        0.2638732E-03 iter. number =  2000 denomin. =        0.5685749E+01

  global error =        0.2532557E-03 iter. number =  2100 denomin. =        0.5685849E+01

  global error =        0.2430562E-03 iter. number =  2200 denomin. =        0.5686021E+01

  global error =        0.2333260E-03 iter. number =  2300 denomin. =        0.5686186E+01

  global error =        0.2238915E-03 iter. number =  2400 denomin. =        0.5686114E+01

  global error =        0.2148400E-03 iter. number =  2500 denomin. =        0.5686120E+01

  global error =        0.2061192E-03 iter. number =  2600 denomin. =        0.5686008E+01

  global error =        0.1977376E-03 iter. number =  2700 denomin. =        0.5685890E+01

  global error =        0.1897532E-03 iter. number =  2800 denomin. =        0.5685977E+01

  global error =        0.1820528E-03 iter. number =  2900 denomin. =        0.5685929E+01

  global error =        0.1746482E-03 iter. number =  3000 denomin. =        0.5685971E+01

  global error =        0.1674941E-03 iter. number =  3100 denomin. =        0.5685895E+01

  global error =        0.1605794E-03 iter. number =  3200 denomin. =        0.5685685E+01

  global error =        0.1540138E-03 iter. number =  3300 denomin. =        0.5685698E+01

  global error =        0.1477870E-03 iter. number =  3400 denomin. =        0.5685641E+01

  global error =        0.1417582E-03 iter. number =  3500 denomin. =        0.5685746E+01

  global error =        0.1358919E-03 iter. number =  3600 denomin. =        0.5685865E+01

  global error =        0.1302915E-03 iter. number =  3700 denomin. =        0.5685837E+01

  global error =        0.1250089E-03 iter. number =  3800 denomin. =        0.5685947E+01

  global error =        0.1199582E-03 iter. number =  3900 denomin. =        0.5685923E+01

  global error =        0.1150116E-03 iter. number =  4000 denomin. =        0.5685988E+01

  NO convergence  for freq. #   104 after   4001 inner iterations 
 relative error value reduction =       0.11501160E-03


  frequency number   103 frequency :       0.76875000E+00
 jw  real sour, imag sour =    103      0.41257E+00     -0.40116E+00

  global error =        0.7843801E-02 iter. number =   100 denomin. =        0.5293517E+01

  global error =        0.5400336E-02 iter. number =   200 denomin. =        0.4266424E+01

  global error =        0.2987948E-02 iter. number =   300 denomin. =        0.4033235E+01

  global error =        0.1788160E-02 iter. number =   400 denomin. =        0.4468519E+01

  global error =        0.9253674E-03 iter. number =   500 denomin. =        0.4531387E+01

  global error =        0.6389260E-03 iter. number =   600 denomin. =        0.4285870E+01

  global error =        0.3910410E-03 iter. number =   700 denomin. =        0.4250527E+01

  global error =        0.2875533E-03 iter. number =   800 denomin. =        0.4316264E+01

  global error =        0.2233563E-03 iter. number =   900 denomin. =        0.4317452E+01

  global error =        0.1899762E-03 iter. number =  1000 denomin. =        0.4300562E+01

  global error =        0.1663581E-03 iter. number =  1100 denomin. =        0.4304750E+01

  global error =        0.1476586E-03 iter. number =  1200 denomin. =        0.4308787E+01

  global error =        0.1342273E-03 iter. number =  1300 denomin. =        0.4305867E+01

  global error =        0.1232340E-03 iter. number =  1400 denomin. =        0.4304718E+01

  global error =        0.1135836E-03 iter. number =  1500 denomin. =        0.4305874E+01

  global error =        0.1049457E-03 iter. number =  1600 denomin. =        0.4306115E+01

  convergence  for freq. #   103 achieved in  1662 inner iterations 
 relative error value =       0.99987222E-04


  frequency number   102 frequency :       0.76125000E+00
 jw  real sour, imag sour =    102      0.45340E+00     -0.37210E+00

  global error =        0.6260009E-02 iter. number =   100 denomin. =        0.5277507E+01

  global error =        0.4067099E-02 iter. number =   200 denomin. =        0.7068975E+01

  global error =        0.2017147E-02 iter. number =   300 denomin. =        0.8636557E+01

  global error =        0.1112677E-02 iter. number =   400 denomin. =        0.9241766E+01

  global error =        0.6423442E-03 iter. number =   500 denomin. =        0.9230510E+01

  global error =        0.3712424E-03 iter. number =   600 denomin. =        0.8966947E+01

  global error =        0.2274092E-03 iter. number =   700 denomin. =        0.8692321E+01

  global error =        0.1371472E-03 iter. number =   800 denomin. =        0.8488449E+01

  convergence  for freq. #   102 achieved in   879 inner iterations 
 relative error value =       0.99804012E-04


  frequency number   101 frequency :       0.75375000E+00
 jw  real sour, imag sour =    101      0.49220E+00     -0.33896E+00

  global error =        0.8480130E-02 iter. number =   100 denomin. =        0.7654335E+01

  global error =        0.5874382E-02 iter. number =   200 denomin. =        0.5990070E+01

  global error =        0.2993469E-02 iter. number =   300 denomin. =        0.5449520E+01

  global error =        0.1958607E-02 iter. number =   400 denomin. =        0.6333207E+01

  global error =        0.1074369E-02 iter. number =   500 denomin. =        0.6428166E+01

  global error =        0.7371028E-03 iter. number =   600 denomin. =        0.6075791E+01

  global error =        0.4283101E-03 iter. number =   700 denomin. =        0.6139862E+01

  global error =        0.2748553E-03 iter. number =   800 denomin. =        0.6208828E+01

  global error =        0.1633185E-03 iter. number =   900 denomin. =        0.6152962E+01

  global error =        0.1054848E-03 iter. number =  1000 denomin. =        0.6153698E+01

  convergence  for freq. #   101 achieved in  1015 inner iterations 
 relative error value =       0.99730018E-04


  frequency number   100 frequency :       0.74625000E+00
 jw  real sour, imag sour =    100      0.52854E+00     -0.30187E+00

  global error =        0.6819194E-02 iter. number =   100 denomin. =        0.6694213E+01

  global error =        0.4046738E-02 iter. number =   200 denomin. =        0.7657128E+01

  global error =        0.1890936E-02 iter. number =   300 denomin. =        0.8043478E+01

  global error =        0.8114569E-03 iter. number =   400 denomin. =        0.7664957E+01

  global error =        0.3892376E-03 iter. number =   500 denomin. =        0.7366027E+01

  global error =        0.1674257E-03 iter. number =   600 denomin. =        0.7223910E+01

  convergence  for freq. #   100 achieved in   673 inner iterations 
 relative error value =       0.99659137E-04


  frequency number    99 frequency :       0.73875000E+00
 jw  real sour, imag sour =     99      0.56204E+00     -0.26102E+00

  global error =        0.6613600E-02 iter. number =   100 denomin. =        0.7013829E+01

  global error =        0.3012268E-02 iter. number =   200 denomin. =        0.6738023E+01

  global error =        0.1220279E-02 iter. number =   300 denomin. =        0.7309580E+01

  global error =        0.6737268E-03 iter. number =   400 denomin. =        0.7971675E+01

  global error =        0.4120026E-03 iter. number =   500 denomin. =        0.8086949E+01

  global error =        0.2320759E-03 iter. number =   600 denomin. =        0.8041577E+01

  global error =        0.1598273E-03 iter. number =   700 denomin. =        0.7920067E+01

  global error =        0.1182407E-03 iter. number =   800 denomin. =        0.7817653E+01

  global error =        0.1010792E-03 iter. number =   900 denomin. =        0.7786488E+01

  convergence  for freq. #    99 achieved in   915 inner iterations 
 relative error value =       0.99981202E-04


  frequency number    98 frequency :       0.73125000E+00
 jw  real sour, imag sour =     98      0.59229E+00     -0.21662E+00

  global error =        0.8062553E-02 iter. number =   100 denomin. =        0.8932597E+01

  global error =        0.5333005E-02 iter. number =   200 denomin. =        0.1038244E+02

  global error =        0.2361512E-02 iter. number =   300 denomin. =        0.1017829E+02

  global error =        0.1649659E-02 iter. number =   400 denomin. =        0.8700767E+01

  global error =        0.1033584E-02 iter. number =   500 denomin. =        0.7563441E+01

  global error =        0.7868331E-03 iter. number =   600 denomin. =        0.7094932E+01

  global error =        0.6761459E-03 iter. number =   700 denomin. =        0.6929488E+01

  global error =        0.6182037E-03 iter. number =   800 denomin. =        0.6956617E+01

  global error =        0.5911035E-03 iter. number =   900 denomin. =        0.7039065E+01

  global error =        0.5722572E-03 iter. number =  1000 denomin. =        0.7084604E+01

  global error =        0.5580957E-03 iter. number =  1100 denomin. =        0.7097595E+01

  global error =        0.5459273E-03 iter. number =  1200 denomin. =        0.7096239E+01

  global error =        0.5344507E-03 iter. number =  1300 denomin. =        0.7090105E+01

  global error =        0.5234355E-03 iter. number =  1400 denomin. =        0.7085536E+01

  global error =        0.5125634E-03 iter. number =  1500 denomin. =        0.7084345E+01

  global error =        0.5019359E-03 iter. number =  1600 denomin. =        0.7084203E+01

  global error =        0.4915783E-03 iter. number =  1700 denomin. =        0.7083671E+01

  global error =        0.4814047E-03 iter. number =  1800 denomin. =        0.7083621E+01

  global error =        0.4714594E-03 iter. number =  1900 denomin. =        0.7083972E+01

  global error =        0.4617547E-03 iter. number =  2000 denomin. =        0.7083714E+01

  global error =        0.4522696E-03 iter. number =  2100 denomin. =        0.7083061E+01

  global error =        0.4429755E-03 iter. number =  2200 denomin. =        0.7082848E+01

  global error =        0.4338673E-03 iter. number =  2300 denomin. =        0.7082894E+01

  global error =        0.4249473E-03 iter. number =  2400 denomin. =        0.7082564E+01

  global error =        0.4162129E-03 iter. number =  2500 denomin. =        0.7082096E+01

  global error =        0.4076537E-03 iter. number =  2600 denomin. =        0.7082016E+01

  global error =        0.3992704E-03 iter. number =  2700 denomin. =        0.7082030E+01

  global error =        0.3910810E-03 iter. number =  2800 denomin. =        0.7081711E+01

  global error =        0.3830657E-03 iter. number =  2900 denomin. =        0.7081344E+01

  global error =        0.3752097E-03 iter. number =  3000 denomin. =        0.7081264E+01

  global error =        0.3675182E-03 iter. number =  3100 denomin. =        0.7081210E+01

  global error =        0.3599855E-03 iter. number =  3200 denomin. =        0.7080955E+01

  global error =        0.3526092E-03 iter. number =  3300 denomin. =        0.7080720E+01

  global error =        0.3453864E-03 iter. number =  3400 denomin. =        0.7080650E+01

  global error =        0.3383161E-03 iter. number =  3500 denomin. =        0.7080566E+01

  global error =        0.3313979E-03 iter. number =  3600 denomin. =        0.7080369E+01

  global error =        0.3246240E-03 iter. number =  3700 denomin. =        0.7080176E+01

  global error =        0.3179813E-03 iter. number =  3800 denomin. =        0.7080072E+01

  global error =        0.3114731E-03 iter. number =  3900 denomin. =        0.7080011E+01

  global error =        0.3051062E-03 iter. number =  4000 denomin. =        0.7079935E+01

  NO convergence  for freq. #    98 after   4001 inner iterations 
 relative error value reduction =       0.30510624E-03


  frequency number    97 frequency :       0.72375000E+00
 jw  real sour, imag sour =     97      0.61894E+00     -0.16895E+00

  global error =        0.6531859E-02 iter. number =   100 denomin. =        0.6623764E+01

  global error =        0.2950894E-02 iter. number =   200 denomin. =        0.6487219E+01

  global error =        0.1554549E-02 iter. number =   300 denomin. =        0.7739458E+01

  global error =        0.9020570E-03 iter. number =   400 denomin. =        0.8862545E+01

  global error =        0.5724100E-03 iter. number =   500 denomin. =        0.9397824E+01

  global error =        0.4522285E-03 iter. number =   600 denomin. =        0.9695347E+01

  global error =        0.3784067E-03 iter. number =   700 denomin. =        0.9813534E+01

  global error =        0.3435125E-03 iter. number =   800 denomin. =        0.9821600E+01

  global error =        0.3207225E-03 iter. number =   900 denomin. =        0.9792019E+01

  global error =        0.3032864E-03 iter. number =  1000 denomin. =        0.9752892E+01

  global error =        0.2882478E-03 iter. number =  1100 denomin. =        0.9718612E+01

  global error =        0.2741867E-03 iter. number =  1200 denomin. =        0.9694532E+01

  global error =        0.2608428E-03 iter. number =  1300 denomin. =        0.9679968E+01

  global error =        0.2483327E-03 iter. number =  1400 denomin. =        0.9672516E+01

  global error =        0.2366254E-03 iter. number =  1500 denomin. =        0.9669446E+01

  global error =        0.2255173E-03 iter. number =  1600 denomin. =        0.9668847E+01

  global error =        0.2149973E-03 iter. number =  1700 denomin. =        0.9669321E+01

  global error =        0.2050249E-03 iter. number =  1800 denomin. =        0.9670020E+01

  global error =        0.1954557E-03 iter. number =  1900 denomin. =        0.9670727E+01

  global error =        0.1863762E-03 iter. number =  2000 denomin. =        0.9671166E+01

  global error =        0.1778201E-03 iter. number =  2100 denomin. =        0.9671491E+01

  global error =        0.1696635E-03 iter. number =  2200 denomin. =        0.9671607E+01

  global error =        0.1618485E-03 iter. number =  2300 denomin. =        0.9671665E+01

  global error =        0.1543867E-03 iter. number =  2400 denomin. =        0.9671653E+01

  global error =        0.1473610E-03 iter. number =  2500 denomin. =        0.9671612E+01

  global error =        0.1407042E-03 iter. number =  2600 denomin. =        0.9671577E+01

  global error =        0.1342549E-03 iter. number =  2700 denomin. =        0.9671537E+01

  global error =        0.1280621E-03 iter. number =  2800 denomin. =        0.9671534E+01

  global error =        0.1222574E-03 iter. number =  2900 denomin. =        0.9671499E+01

  global error =        0.1168215E-03 iter. number =  3000 denomin. =        0.9671475E+01

  global error =        0.1115124E-03 iter. number =  3100 denomin. =        0.9671459E+01

  global error =        0.1062995E-03 iter. number =  3200 denomin. =        0.9671458E+01

  global error =        0.1014727E-03 iter. number =  3300 denomin. =        0.9671470E+01

  convergence  for freq. #    97 achieved in  3333 inner iterations 
 relative error value =       0.99970510E-04


  frequency number    96 frequency :       0.71625000E+00
 jw  real sour, imag sour =     96      0.64162E+00     -0.11830E+00

  global error =        0.8328110E-02 iter. number =   100 denomin. =        0.1060436E+02

  global error =        0.6052810E-02 iter. number =   200 denomin. =        0.1136073E+02

  global error =        0.3201515E-02 iter. number =   300 denomin. =        0.1039909E+02

  global error =        0.2368139E-02 iter. number =   400 denomin. =        0.8158456E+01

  global error =        0.1621101E-02 iter. number =   500 denomin. =        0.6806076E+01

  global error =        0.9704122E-03 iter. number =   600 denomin. =        0.6851289E+01

  global error =        0.5900899E-03 iter. number =   700 denomin. =        0.7288709E+01

  global error =        0.3735239E-03 iter. number =   800 denomin. =        0.7491970E+01

  global error =        0.2394604E-03 iter. number =   900 denomin. =        0.7437446E+01

  global error =        0.1691006E-03 iter. number =  1000 denomin. =        0.7327388E+01

  global error =        0.1259130E-03 iter. number =  1100 denomin. =        0.7283264E+01

  global error =        0.1022785E-03 iter. number =  1200 denomin. =        0.7298470E+01

  convergence  for freq. #    96 achieved in  1214 inner iterations 
 relative error value =       0.99859660E-04


  frequency number    95 frequency :       0.70875000E+00
 jw  real sour, imag sour =     95      0.66002E+00     -0.65006E-01

  global error =        0.6102954E-02 iter. number =   100 denomin. =        0.8424568E+01

  global error =        0.3332358E-02 iter. number =   200 denomin. =        0.1064471E+02

  global error =        0.1852488E-02 iter. number =   300 denomin. =        0.1313699E+02

  global error =        0.9730770E-03 iter. number =   400 denomin. =        0.1467408E+02

  global error =        0.5004242E-03 iter. number =   500 denomin. =        0.1529101E+02

  global error =        0.2918747E-03 iter. number =   600 denomin. =        0.1552527E+02

  global error =        0.1766824E-03 iter. number =   700 denomin. =        0.1553984E+02

  convergence  for freq. #    95 achieved in   792 inner iterations 
 relative error value =       0.99937279E-04


  frequency number    94 frequency :       0.70125000E+00
 jw  real sour, imag sour =     94      0.67383E+00     -0.94514E-02

  global error =        0.8922268E-02 iter. number =   100 denomin. =        0.1468862E+02

  global error =        0.6743325E-02 iter. number =   200 denomin. =        0.1186030E+02

  global error =        0.3512716E-02 iter. number =   300 denomin. =        0.9583364E+01

  global error =        0.2308412E-02 iter. number =   400 denomin. =        0.1009842E+02

  global error =        0.1283519E-02 iter. number =   500 denomin. =        0.1088420E+02

  global error =        0.8361404E-03 iter. number =   600 denomin. =        0.1042045E+02

  global error =        0.4852011E-03 iter. number =   700 denomin. =        0.1015201E+02

  global error =        0.3164335E-03 iter. number =   800 denomin. =        0.1034841E+02

  global error =        0.1829093E-03 iter. number =   900 denomin. =        0.1041685E+02

  global error =        0.1208206E-03 iter. number =  1000 denomin. =        0.1033115E+02

  convergence  for freq. #    94 achieved in  1037 inner iterations 
 relative error value =       0.99994573E-04


  frequency number    93 frequency :       0.69375000E+00
 jw  real sour, imag sour =     93      0.68281E+00      0.47960E-01

  global error =        0.6604512E-02 iter. number =   100 denomin. =        0.1133088E+02

  global error =        0.3922285E-02 iter. number =   200 denomin. =        0.1353660E+02

  global error =        0.1844818E-02 iter. number =   300 denomin. =        0.1534422E+02

  global error =        0.7057629E-03 iter. number =   400 denomin. =        0.1582018E+02

  global error =        0.3187075E-03 iter. number =   500 denomin. =        0.1586976E+02

  global error =        0.1153925E-03 iter. number =   600 denomin. =        0.1576668E+02

  convergence  for freq. #    93 achieved in   621 inner iterations 
 relative error value =       0.99839113E-04


  frequency number    92 frequency :       0.68625000E+00
 jw  real sour, imag sour =     92      0.68671E+00      0.10679E+00

  global error =        0.8128890E-02 iter. number =   100 denomin. =        0.1472547E+02

  global error =        0.5010658E-02 iter. number =   200 denomin. =        0.1163903E+02

  global error =        0.1793661E-02 iter. number =   300 denomin. =        0.1009727E+02

  global error =        0.1126989E-02 iter. number =   400 denomin. =        0.1078795E+02

  global error =        0.4916118E-03 iter. number =   500 denomin. =        0.1074227E+02

  global error =        0.3333349E-03 iter. number =   600 denomin. =        0.1035208E+02

  global error =        0.1598063E-03 iter. number =   700 denomin. =        0.1033702E+02

  global error =        0.1053025E-03 iter. number =   800 denomin. =        0.1036020E+02

  convergence  for freq. #    92 achieved in   807 inner iterations 
 relative error value =       0.99611468E-04


  frequency number    91 frequency :       0.67875000E+00
 jw  real sour, imag sour =     91      0.68536E+00      0.16658E+00

  global error =        0.7066744E-02 iter. number =   100 denomin. =        0.1162931E+02

  global error =        0.4216083E-02 iter. number =   200 denomin. =        0.1417604E+02

  global error =        0.1823258E-02 iter. number =   300 denomin. =        0.1575459E+02

  global error =        0.9721543E-03 iter. number =   400 denomin. =        0.1582274E+02

  global error =        0.6354003E-03 iter. number =   500 denomin. =        0.1549054E+02

  global error =        0.3309340E-03 iter. number =   600 denomin. =        0.1513878E+02

  global error =        0.2019281E-03 iter. number =   700 denomin. =        0.1473780E+02

  global error =        0.1439863E-03 iter. number =   800 denomin. =        0.1447388E+02

  convergence  for freq. #    91 achieved in   892 inner iterations 
 relative error value =       0.99936121E-04


  frequency number    90 frequency :       0.67125000E+00
 jw  real sour, imag sour =     90      0.67863E+00      0.22683E+00

  global error =        0.7555321E-02 iter. number =   100 denomin. =        0.1291402E+02

  global error =        0.4121079E-02 iter. number =   200 denomin. =        0.1130774E+02

  global error =        0.1810516E-02 iter. number =   300 denomin. =        0.1278295E+02

  global error =        0.1126958E-02 iter. number =   400 denomin. =        0.1508784E+02

  global error =        0.6120666E-03 iter. number =   500 denomin. =        0.1633680E+02

  global error =        0.4413154E-03 iter. number =   600 denomin. =        0.1689997E+02

  global error =        0.3631906E-03 iter. number =   700 denomin. =        0.1720965E+02

  global error =        0.3110620E-03 iter. number =   800 denomin. =        0.1727403E+02

  global error =        0.2849008E-03 iter. number =   900 denomin. =        0.1721197E+02

  global error =        0.2658772E-03 iter. number =  1000 denomin. =        0.1712530E+02

  global error =        0.2507391E-03 iter. number =  1100 denomin. =        0.1705494E+02

  global error =        0.2381495E-03 iter. number =  1200 denomin. =        0.1701266E+02

  global error =        0.2271837E-03 iter. number =  1300 denomin. =        0.1699606E+02

  global error =        0.2170007E-03 iter. number =  1400 denomin. =        0.1699476E+02

  global error =        0.2070553E-03 iter. number =  1500 denomin. =        0.1699752E+02

  global error =        0.1970897E-03 iter. number =  1600 denomin. =        0.1699871E+02

  global error =        0.1871639E-03 iter. number =  1700 denomin. =        0.1699808E+02

  global error =        0.1776126E-03 iter. number =  1800 denomin. =        0.1699799E+02

  global error =        0.1686875E-03 iter. number =  1900 denomin. =        0.1700091E+02

  global error =        0.1605900E-03 iter. number =  2000 denomin. =        0.1700713E+02

  global error =        0.1533323E-03 iter. number =  2100 denomin. =        0.1701469E+02

  global error =        0.1468216E-03 iter. number =  2200 denomin. =        0.1702113E+02

  global error =        0.1409662E-03 iter. number =  2300 denomin. =        0.1702493E+02

  global error =        0.1356137E-03 iter. number =  2400 denomin. =        0.1702636E+02

  global error =        0.1306579E-03 iter. number =  2500 denomin. =        0.1702694E+02

  global error =        0.1261105E-03 iter. number =  2600 denomin. =        0.1702817E+02

  global error =        0.1218706E-03 iter. number =  2700 denomin. =        0.1703066E+02

  global error =        0.1178964E-03 iter. number =  2800 denomin. =        0.1703395E+02

  global error =        0.1141804E-03 iter. number =  2900 denomin. =        0.1703698E+02

  global error =        0.1107076E-03 iter. number =  3000 denomin. =        0.1703904E+02

  global error =        0.1074647E-03 iter. number =  3100 denomin. =        0.1704016E+02

  global error =        0.1044182E-03 iter. number =  3200 denomin. =        0.1704087E+02

  global error =        0.1015217E-03 iter. number =  3300 denomin. =        0.1704186E+02

  convergence  for freq. #    90 achieved in  3356 inner iterations 
 relative error value =       0.99972840E-04


  frequency number    89 frequency :       0.66375000E+00
 jw  real sour, imag sour =     89      0.66641E+00      0.28705E+00

  global error =        0.8760175E-02 iter. number =   100 denomin. =        0.1864240E+02

  global error =        0.6446084E-02 iter. number =   200 denomin. =        0.1940664E+02

  global error =        0.3768966E-02 iter. number =   300 denomin. =        0.1696070E+02

  global error =        0.3170931E-02 iter. number =   400 denomin. =        0.1224771E+02

  global error =        0.2463732E-02 iter. number =   500 denomin. =        0.1005073E+02

  global error =        0.1866460E-02 iter. number =   600 denomin. =        0.1035316E+02

  global error =        0.1494639E-02 iter. number =   700 denomin. =        0.1114478E+02

  global error =        0.1288845E-02 iter. number =   800 denomin. =        0.1144868E+02

  global error =        0.1170171E-02 iter. number =   900 denomin. =        0.1129366E+02

  global error =        0.1084383E-02 iter. number =  1000 denomin. =        0.1106940E+02

  global error =        0.1008092E-02 iter. number =  1100 denomin. =        0.1100131E+02

  global error =        0.9392607E-03 iter. number =  1200 denomin. =        0.1103742E+02

  global error =        0.8787852E-03 iter. number =  1300 denomin. =        0.1107391E+02

  global error =        0.8250324E-03 iter. number =  1400 denomin. =        0.1108056E+02

  global error =        0.7754853E-03 iter. number =  1500 denomin. =        0.1106651E+02

  global error =        0.7289620E-03 iter. number =  1600 denomin. =        0.1105233E+02

  global error =        0.6853021E-03 iter. number =  1700 denomin. =        0.1104765E+02

  global error =        0.6445109E-03 iter. number =  1800 denomin. =        0.1104681E+02

  global error =        0.6063988E-03 iter. number =  1900 denomin. =        0.1104620E+02

  global error =        0.5708712E-03 iter. number =  2000 denomin. =        0.1104473E+02

  global error =        0.5377139E-03 iter. number =  2100 denomin. =        0.1104215E+02

  global error =        0.5065781E-03 iter. number =  2200 denomin. =        0.1103995E+02

  global error =        0.4772411E-03 iter. number =  2300 denomin. =        0.1103836E+02

  global error =        0.4496443E-03 iter. number =  2400 denomin. =        0.1103719E+02

  global error =        0.4237655E-03 iter. number =  2500 denomin. =        0.1103627E+02

  global error =        0.3994736E-03 iter. number =  2600 denomin. =        0.1103541E+02

  global error =        0.3766396E-03 iter. number =  2700 denomin. =        0.1103455E+02

  global error =        0.3552235E-03 iter. number =  2800 denomin. =        0.1103357E+02

  global error =        0.3351471E-03 iter. number =  2900 denomin. =        0.1103291E+02

  global error =        0.3162413E-03 iter. number =  3000 denomin. =        0.1103240E+02

  global error =        0.2983814E-03 iter. number =  3100 denomin. =        0.1103168E+02

  global error =        0.2815512E-03 iter. number =  3200 denomin. =        0.1103125E+02

  global error =        0.2657662E-03 iter. number =  3300 denomin. =        0.1103094E+02

  global error =        0.2509454E-03 iter. number =  3400 denomin. =        0.1103051E+02

  global error =        0.2369513E-03 iter. number =  3500 denomin. =        0.1103011E+02

  global error =        0.2237559E-03 iter. number =  3600 denomin. =        0.1102959E+02

  global error =        0.2113427E-03 iter. number =  3700 denomin. =        0.1102936E+02

  global error =        0.1996601E-03 iter. number =  3800 denomin. =        0.1102937E+02

  global error =        0.1886211E-03 iter. number =  3900 denomin. =        0.1102908E+02

  global error =        0.1781735E-03 iter. number =  4000 denomin. =        0.1102883E+02

  NO convergence  for freq. #    89 after   4001 inner iterations 
 relative error value reduction =       0.17817353E-03


  frequency number    88 frequency :       0.65625000E+00
 jw  real sour, imag sour =     88      0.64866E+00      0.34672E+00

  global error =        0.5886691E-02 iter. number =   100 denomin. =        0.1250463E+02

  global error =        0.3085943E-02 iter. number =   200 denomin. =        0.1565204E+02

  global error =        0.1817269E-02 iter. number =   300 denomin. =        0.1983843E+02

  global error =        0.8824664E-03 iter. number =   400 denomin. =        0.2285331E+02

  global error =        0.4581248E-03 iter. number =   500 denomin. =        0.2447873E+02

  global error =        0.3117898E-03 iter. number =   600 denomin. =        0.2552872E+02

  global error =        0.2057916E-03 iter. number =   700 denomin. =        0.2603502E+02

  global error =        0.1763925E-03 iter. number =   800 denomin. =        0.2633785E+02

  global error =        0.1515863E-03 iter. number =   900 denomin. =        0.2650301E+02

  global error =        0.1364591E-03 iter. number =  1000 denomin. =        0.2658590E+02

  global error =        0.1245146E-03 iter. number =  1100 denomin. =        0.2663671E+02

  global error =        0.1141968E-03 iter. number =  1200 denomin. =        0.2666106E+02

  global error =        0.1048097E-03 iter. number =  1300 denomin. =        0.2667503E+02

  convergence  for freq. #    88 achieved in  1357 inner iterations 
 relative error value =       0.99926268E-04


  frequency number    87 frequency :       0.64875000E+00
 jw  real sour, imag sour =     87      0.62539E+00      0.40530E+00

  global error =        0.9242373E-02 iter. number =   100 denomin. =        0.2654005E+02

  global error =        0.7097923E-02 iter. number =   200 denomin. =        0.2431894E+02

  global error =        0.3972937E-02 iter. number =   300 denomin. =        0.1876527E+02

  global error =        0.2715062E-02 iter. number =   400 denomin. =        0.1591663E+02

  global error =        0.1628640E-02 iter. number =   500 denomin. =        0.1687671E+02

  global error =        0.9441854E-03 iter. number =   600 denomin. =        0.1791038E+02

  global error =        0.6023465E-03 iter. number =   700 denomin. =        0.1756206E+02

  global error =        0.3802773E-03 iter. number =   800 denomin. =        0.1708731E+02

  global error =        0.2576752E-03 iter. number =   900 denomin. =        0.1714311E+02

  global error =        0.1874968E-03 iter. number =  1000 denomin. =        0.1732350E+02

  global error =        0.1526224E-03 iter. number =  1100 denomin. =        0.1732420E+02

  global error =        0.1342208E-03 iter. number =  1200 denomin. =        0.1725828E+02

  global error =        0.1239517E-03 iter. number =  1300 denomin. =        0.1725136E+02

  global error =        0.1174785E-03 iter. number =  1400 denomin. =        0.1727650E+02

  global error =        0.1129006E-03 iter. number =  1500 denomin. =        0.1728406E+02

  global error =        0.1091687E-03 iter. number =  1600 denomin. =        0.1727769E+02

  global error =        0.1057350E-03 iter. number =  1700 denomin. =        0.1727604E+02

  global error =        0.1022786E-03 iter. number =  1800 denomin. =        0.1728009E+02

  convergence  for freq. #    87 achieved in  1860 inner iterations 
 relative error value =       0.99973597E-04


  frequency number    86 frequency :       0.64125000E+00
 jw  real sour, imag sour =     86      0.59666E+00      0.46228E+00

  global error =        0.7029735E-02 iter. number =   100 denomin. =        0.1842003E+02

  global error =        0.4078439E-02 iter. number =   200 denomin. =        0.2109219E+02

  global error =        0.2023343E-02 iter. number =   300 denomin. =        0.2294132E+02

  global error =        0.1021287E-02 iter. number =   400 denomin. =        0.2277708E+02

  global error =        0.5761780E-03 iter. number =   500 denomin. =        0.2215810E+02

  global error =        0.4995496E-03 iter. number =   600 denomin. =        0.2171980E+02

  global error =        0.4635595E-03 iter. number =   700 denomin. =        0.2155833E+02

  global error =        0.4479446E-03 iter. number =   800 denomin. =        0.2154092E+02

  global error =        0.4356633E-03 iter. number =   900 denomin. =        0.2154738E+02

  global error =        0.4245036E-03 iter. number =  1000 denomin. =        0.2156244E+02

  global error =        0.4141140E-03 iter. number =  1100 denomin. =        0.2156825E+02

  global error =        0.4043708E-03 iter. number =  1200 denomin. =        0.2157329E+02

  global error =        0.3950808E-03 iter. number =  1300 denomin. =        0.2157616E+02

  global error =        0.3859350E-03 iter. number =  1400 denomin. =        0.2157798E+02

  global error =        0.3769721E-03 iter. number =  1500 denomin. =        0.2158053E+02

  global error =        0.3675574E-03 iter. number =  1600 denomin. =        0.2158313E+02

  global error =        0.3579142E-03 iter. number =  1700 denomin. =        0.2158621E+02

  global error =        0.3484604E-03 iter. number =  1800 denomin. =        0.2158911E+02

  global error =        0.3399064E-03 iter. number =  1900 denomin. =        0.2159128E+02

  global error =        0.3324330E-03 iter. number =  2000 denomin. =        0.2159269E+02

  global error =        0.3255172E-03 iter. number =  2100 denomin. =        0.2159415E+02

  global error =        0.3188177E-03 iter. number =  2200 denomin. =        0.2159598E+02

  global error =        0.3120254E-03 iter. number =  2300 denomin. =        0.2159771E+02

  global error =        0.3050010E-03 iter. number =  2400 denomin. =        0.2159900E+02

  global error =        0.2980055E-03 iter. number =  2500 denomin. =        0.2160014E+02

  global error =        0.2911333E-03 iter. number =  2600 denomin. =        0.2160137E+02

  global error =        0.2844438E-03 iter. number =  2700 denomin. =        0.2160254E+02

  global error =        0.2776888E-03 iter. number =  2800 denomin. =        0.2160358E+02

  global error =        0.2710672E-03 iter. number =  2900 denomin. =        0.2160457E+02

  global error =        0.2648684E-03 iter. number =  3000 denomin. =        0.2160552E+02

  global error =        0.2591611E-03 iter. number =  3100 denomin. =        0.2160624E+02

  global error =        0.2538461E-03 iter. number =  3200 denomin. =        0.2160680E+02

  global error =        0.2486153E-03 iter. number =  3300 denomin. =        0.2160742E+02

  global error =        0.2432369E-03 iter. number =  3400 denomin. =        0.2160821E+02

  global error =        0.2376762E-03 iter. number =  3500 denomin. =        0.2160902E+02

  global error =        0.2321063E-03 iter. number =  3600 denomin. =        0.2160965E+02

  global error =        0.2268559E-03 iter. number =  3700 denomin. =        0.2161014E+02

  global error =        0.2219632E-03 iter. number =  3800 denomin. =        0.2161057E+02

  global error =        0.2173037E-03 iter. number =  3900 denomin. =        0.2161108E+02

  global error =        0.2126830E-03 iter. number =  4000 denomin. =        0.2161164E+02

  NO convergence  for freq. #    86 after   4001 inner iterations 
 relative error value reduction =       0.21268305E-03


  frequency number    85 frequency :       0.63375000E+00
 jw  real sour, imag sour =     85      0.56258E+00      0.51712E+00

  global error =        0.7703771E-02 iter. number =   100 denomin. =        0.2050822E+02

  global error =        0.4357221E-02 iter. number =   200 denomin. =        0.1705976E+02

  global error =        0.1904485E-02 iter. number =   300 denomin. =        0.1579118E+02

  global error =        0.1366004E-02 iter. number =   400 denomin. =        0.1673763E+02

  global error =        0.1142998E-02 iter. number =   500 denomin. =        0.1636032E+02

  global error =        0.1023574E-02 iter. number =   600 denomin. =        0.1589727E+02

  global error =        0.9589290E-03 iter. number =   700 denomin. =        0.1590157E+02

  global error =        0.9014820E-03 iter. number =   800 denomin. =        0.1592492E+02

  global error =        0.8519676E-03 iter. number =   900 denomin. =        0.1600650E+02

  global error =        0.8093571E-03 iter. number =  1000 denomin. =        0.1604046E+02

  global error =        0.7756323E-03 iter. number =  1100 denomin. =        0.1600985E+02

  global error =        0.7406238E-03 iter. number =  1200 denomin. =        0.1599312E+02

  global error =        0.7012229E-03 iter. number =  1300 denomin. =        0.1599322E+02

  global error =        0.6621141E-03 iter. number =  1400 denomin. =        0.1599731E+02

  global error =        0.6307459E-03 iter. number =  1500 denomin. =        0.1600162E+02

  global error =        0.6049250E-03 iter. number =  1600 denomin. =        0.1600390E+02

  global error =        0.5796054E-03 iter. number =  1700 denomin. =        0.1600575E+02

  global error =        0.5523231E-03 iter. number =  1800 denomin. =        0.1600633E+02

  global error =        0.5252401E-03 iter. number =  1900 denomin. =        0.1600578E+02

  global error =        0.5002469E-03 iter. number =  2000 denomin. =        0.1600656E+02

  global error =        0.4771082E-03 iter. number =  2100 denomin. =        0.1600900E+02

  global error =        0.4561456E-03 iter. number =  2200 denomin. =        0.1601133E+02

  global error =        0.4369622E-03 iter. number =  2300 denomin. =        0.1601256E+02

  global error =        0.4176538E-03 iter. number =  2400 denomin. =        0.1601328E+02

  global error =        0.3969104E-03 iter. number =  2500 denomin. =        0.1601407E+02

  global error =        0.3763049E-03 iter. number =  2600 denomin. =        0.1601533E+02

  global error =        0.3589751E-03 iter. number =  2700 denomin. =        0.1601659E+02

  global error =        0.3452524E-03 iter. number =  2800 denomin. =        0.1601747E+02

  global error =        0.3321602E-03 iter. number =  2900 denomin. =        0.1601751E+02

  global error =        0.3174028E-03 iter. number =  3000 denomin. =        0.1601745E+02

  global error =        0.3013734E-03 iter. number =  3100 denomin. =        0.1601792E+02

  global error =        0.2863292E-03 iter. number =  3200 denomin. =        0.1601844E+02

  global error =        0.2733305E-03 iter. number =  3300 denomin. =        0.1601834E+02

  global error =        0.2618041E-03 iter. number =  3400 denomin. =        0.1601803E+02

  global error =        0.2507621E-03 iter. number =  3500 denomin. =        0.1601817E+02

  global error =        0.2396432E-03 iter. number =  3600 denomin. =        0.1601873E+02

  global error =        0.2284311E-03 iter. number =  3700 denomin. =        0.1601865E+02

  global error =        0.2175256E-03 iter. number =  3800 denomin. =        0.1601798E+02

  global error =        0.2077616E-03 iter. number =  3900 denomin. =        0.1601783E+02

  global error =        0.1995179E-03 iter. number =  4000 denomin. =        0.1601830E+02

  NO convergence  for freq. #    85 after   4001 inner iterations 
 relative error value reduction =       0.19951792E-03


  frequency number    84 frequency :       0.62625000E+00
 jw  real sour, imag sour =     84      0.52331E+00      0.56931E+00

  global error =        0.7610014E-02 iter. number =   100 denomin. =        0.1838647E+02

  global error =        0.4603591E-02 iter. number =   200 denomin. =        0.2329282E+02

  global error =        0.2021311E-02 iter. number =   300 denomin. =        0.2633863E+02

  global error =        0.1338889E-02 iter. number =   400 denomin. =        0.2688802E+02

  global error =        0.9544985E-03 iter. number =   500 denomin. =        0.2639666E+02

  global error =        0.7643959E-03 iter. number =   600 denomin. =        0.2576535E+02

  global error =        0.6661002E-03 iter. number =   700 denomin. =        0.2498885E+02

  global error =        0.6080157E-03 iter. number =   800 denomin. =        0.2451227E+02

  global error =        0.5461637E-03 iter. number =   900 denomin. =        0.2425494E+02

  global error =        0.5019044E-03 iter. number =  1000 denomin. =        0.2411019E+02

  global error =        0.4663602E-03 iter. number =  1100 denomin. =        0.2405336E+02

  global error =        0.4302398E-03 iter. number =  1200 denomin. =        0.2405192E+02

  global error =        0.3897043E-03 iter. number =  1300 denomin. =        0.2406239E+02

  global error =        0.3524878E-03 iter. number =  1400 denomin. =        0.2406676E+02

  global error =        0.3236063E-03 iter. number =  1500 denomin. =        0.2407663E+02

  global error =        0.3017880E-03 iter. number =  1600 denomin. =        0.2409086E+02

  global error =        0.2776566E-03 iter. number =  1700 denomin. =        0.2409953E+02

  global error =        0.2511910E-03 iter. number =  1800 denomin. =        0.2410131E+02

  global error =        0.2312969E-03 iter. number =  1900 denomin. =        0.2410312E+02

  global error =        0.2171987E-03 iter. number =  2000 denomin. =        0.2410827E+02

  global error =        0.2012873E-03 iter. number =  2100 denomin. =        0.2411241E+02

  global error =        0.1829864E-03 iter. number =  2200 denomin. =        0.2411256E+02

  global error =        0.1683560E-03 iter. number =  2300 denomin. =        0.2411204E+02

  global error =        0.1576026E-03 iter. number =  2400 denomin. =        0.2411367E+02

  global error =        0.1464359E-03 iter. number =  2500 denomin. =        0.2411591E+02

  global error =        0.1332755E-03 iter. number =  2600 denomin. =        0.2411642E+02

  global error =        0.1208279E-03 iter. number =  2700 denomin. =        0.2411592E+02

  global error =        0.1121659E-03 iter. number =  2800 denomin. =        0.2411622E+02

  global error =        0.1057777E-03 iter. number =  2900 denomin. =        0.2411733E+02

  convergence  for freq. #    84 achieved in  2975 inner iterations 
 relative error value =       0.99979822E-04


  frequency number    83 frequency :       0.61875000E+00
 jw  real sour, imag sour =     83      0.47906E+00      0.61832E+00

  global error =        0.8208406E-02 iter. number =   100 denomin. =        0.2063912E+02

  global error =        0.4830747E-02 iter. number =   200 denomin. =        0.1558349E+02

  global error =        0.2403737E-02 iter. number =   300 denomin. =        0.1652492E+02

  global error =        0.1608974E-02 iter. number =   400 denomin. =        0.1941382E+02

  global error =        0.1075458E-02 iter. number =   500 denomin. =        0.2044322E+02

  global error =        0.8762460E-03 iter. number =   600 denomin. =        0.2068936E+02

  global error =        0.7502021E-03 iter. number =   700 denomin. =        0.2083507E+02

  global error =        0.6789255E-03 iter. number =   800 denomin. =        0.2079274E+02

  global error =        0.6128851E-03 iter. number =   900 denomin. =        0.2066438E+02

  global error =        0.5422359E-03 iter. number =  1000 denomin. =        0.2054737E+02

  global error =        0.4820722E-03 iter. number =  1100 denomin. =        0.2046424E+02

  global error =        0.4417479E-03 iter. number =  1200 denomin. =        0.2041953E+02

  global error =        0.4071553E-03 iter. number =  1300 denomin. =        0.2040113E+02

  global error =        0.3673227E-03 iter. number =  1400 denomin. =        0.2039534E+02

  global error =        0.3235808E-03 iter. number =  1500 denomin. =        0.2039579E+02

  global error =        0.2880113E-03 iter. number =  1600 denomin. =        0.2039992E+02

  global error =        0.2623795E-03 iter. number =  1700 denomin. =        0.2040306E+02

  global error =        0.2383373E-03 iter. number =  1800 denomin. =        0.2040338E+02

  global error =        0.2104606E-03 iter. number =  1900 denomin. =        0.2040322E+02

  global error =        0.1871156E-03 iter. number =  2000 denomin. =        0.2040409E+02

  global error =        0.1713529E-03 iter. number =  2100 denomin. =        0.2040402E+02

  global error =        0.1586256E-03 iter. number =  2200 denomin. =        0.2040275E+02

  global error =        0.1434883E-03 iter. number =  2300 denomin. =        0.2040191E+02

  global error =        0.1285970E-03 iter. number =  2400 denomin. =        0.2040176E+02

  global error =        0.1160704E-03 iter. number =  2500 denomin. =        0.2040144E+02

  global error =        0.1056298E-03 iter. number =  2600 denomin. =        0.2040087E+02

  convergence  for freq. #    83 achieved in  2659 inner iterations 
 relative error value =       0.99963946E-04


  frequency number    82 frequency :       0.61125000E+00
 jw  real sour, imag sour =     82      0.43012E+00      0.66368E+00

  global error =        0.8286870E-02 iter. number =   100 denomin. =        0.2252494E+02

  global error =        0.5629805E-02 iter. number =   200 denomin. =        0.2462993E+02

  global error =        0.2969194E-02 iter. number =   300 denomin. =        0.2381642E+02

  global error =        0.1948398E-02 iter. number =   400 denomin. =        0.1976508E+02

  global error =        0.1402135E-02 iter. number =   500 denomin. =        0.1679574E+02

  global error =        0.8366999E-03 iter. number =   600 denomin. =        0.1648120E+02

  global error =        0.5379976E-03 iter. number =   700 denomin. =        0.1717185E+02

  global error =        0.3756400E-03 iter. number =   800 denomin. =        0.1764660E+02

  global error =        0.2771741E-03 iter. number =   900 denomin. =        0.1768681E+02

  global error =        0.2231685E-03 iter. number =  1000 denomin. =        0.1753936E+02

  global error =        0.1841967E-03 iter. number =  1100 denomin. =        0.1743369E+02

  global error =        0.1579328E-03 iter. number =  1200 denomin. =        0.1742317E+02

  global error =        0.1413488E-03 iter. number =  1300 denomin. =        0.1745517E+02

  global error =        0.1240587E-03 iter. number =  1400 denomin. =        0.1747929E+02

  global error =        0.1081715E-03 iter. number =  1500 denomin. =        0.1748309E+02

  convergence  for freq. #    82 achieved in  1569 inner iterations 
 relative error value =       0.99969469E-04


  frequency number    81 frequency :       0.60375000E+00
 jw  real sour, imag sour =     81      0.37678E+00      0.70492E+00

  global error =        0.6597462E-02 iter. number =   100 denomin. =        0.2046188E+02

  global error =        0.3784035E-02 iter. number =   200 denomin. =        0.2671371E+02

  global error =        0.2215118E-02 iter. number =   300 denomin. =        0.3395742E+02

  global error =        0.1203977E-02 iter. number =   400 denomin. =        0.3860711E+02

  global error =        0.7090185E-03 iter. number =   500 denomin. =        0.4046316E+02

  global error =        0.4934276E-03 iter. number =   600 denomin. =        0.4106416E+02

  global error =        0.3751507E-03 iter. number =   700 denomin. =        0.4097756E+02

  global error =        0.3047024E-03 iter. number =   800 denomin. =        0.4069952E+02

  global error =        0.2627112E-03 iter. number =   900 denomin. =        0.4040748E+02

  global error =        0.2337050E-03 iter. number =  1000 denomin. =        0.4017527E+02

  global error =        0.2146784E-03 iter. number =  1100 denomin. =        0.4001292E+02

  global error =        0.1995392E-03 iter. number =  1200 denomin. =        0.3991015E+02

  global error =        0.1845869E-03 iter. number =  1300 denomin. =        0.3984843E+02

  global error =        0.1699224E-03 iter. number =  1400 denomin. =        0.3981606E+02

  global error =        0.1573391E-03 iter. number =  1500 denomin. =        0.3980023E+02

  global error =        0.1470043E-03 iter. number =  1600 denomin. =        0.3979172E+02

  global error =        0.1374493E-03 iter. number =  1700 denomin. =        0.3978668E+02

  global error =        0.1285170E-03 iter. number =  1800 denomin. =        0.3978485E+02

  global error =        0.1199553E-03 iter. number =  1900 denomin. =        0.3978512E+02

  global error =        0.1123009E-03 iter. number =  2000 denomin. =        0.3978608E+02

  global error =        0.1058630E-03 iter. number =  2100 denomin. =        0.3978625E+02

  global error =        0.9996877E-04 iter. number =  2200 denomin. =        0.3978564E+02

  convergence  for freq. #    81 achieved in  2200 inner iterations 
 relative error value =       0.99968765E-04


  frequency number    80 frequency :       0.59625000E+00
 jw  real sour, imag sour =     80      0.31943E+00      0.74159E+00

  global error =        0.9579814E-02 iter. number =   100 denomin. =        0.3724204E+02

  global error =        0.7598237E-02 iter. number =   200 denomin. =        0.2879649E+02

  global error =        0.4265936E-02 iter. number =   300 denomin. =        0.2192465E+02

  global error =        0.2798229E-02 iter. number =   400 denomin. =        0.2400279E+02

  global error =        0.1694415E-02 iter. number =   500 denomin. =        0.2621168E+02

  global error =        0.1137555E-02 iter. number =   600 denomin. =        0.2467410E+02

  global error =        0.7630062E-03 iter. number =   700 denomin. =        0.2399429E+02

  global error =        0.5375779E-03 iter. number =   800 denomin. =        0.2464868E+02

  global error =        0.4058686E-03 iter. number =   900 denomin. =        0.2475371E+02

  global error =        0.3313684E-03 iter. number =  1000 denomin. =        0.2445909E+02

  global error =        0.2853208E-03 iter. number =  1100 denomin. =        0.2447655E+02

  global error =        0.2563431E-03 iter. number =  1200 denomin. =        0.2458211E+02

  global error =        0.2367613E-03 iter. number =  1300 denomin. =        0.2454803E+02

  global error =        0.2179190E-03 iter. number =  1400 denomin. =        0.2451378E+02

  global error =        0.2003969E-03 iter. number =  1500 denomin. =        0.2453269E+02

  global error =        0.1865737E-03 iter. number =  1600 denomin. =        0.2453949E+02

  global error =        0.1738494E-03 iter. number =  1700 denomin. =        0.2452995E+02

  global error =        0.1616466E-03 iter. number =  1800 denomin. =        0.2452917E+02

  global error =        0.1503066E-03 iter. number =  1900 denomin. =        0.2453212E+02

  global error =        0.1395094E-03 iter. number =  2000 denomin. =        0.2453052E+02

  global error =        0.1297709E-03 iter. number =  2100 denomin. =        0.2452945E+02

  global error =        0.1209829E-03 iter. number =  2200 denomin. =        0.2453001E+02

  global error =        0.1137499E-03 iter. number =  2300 denomin. =        0.2452976E+02

  global error =        0.1074213E-03 iter. number =  2400 denomin. =        0.2452902E+02

  global error =        0.1011736E-03 iter. number =  2500 denomin. =        0.2452879E+02

  convergence  for freq. #    80 achieved in  2519 inner iterations 
 relative error value =       0.99978881E-04


  frequency number    79 frequency :       0.58875000E+00
 jw  real sour, imag sour =     79      0.25847E+00      0.77329E+00

  global error =        0.6981340E-02 iter. number =   100 denomin. =        0.2628459E+02

  global error =        0.4196310E-02 iter. number =   200 denomin. =        0.3040608E+02

  global error =        0.2149197E-02 iter. number =   300 denomin. =        0.3312374E+02

  global error =        0.9581579E-03 iter. number =   400 denomin. =        0.3294923E+02

  global error =        0.5625323E-03 iter. number =   500 denomin. =        0.3217766E+02

  global error =        0.3543322E-03 iter. number =   600 denomin. =        0.3156448E+02

  global error =        0.2790932E-03 iter. number =   700 denomin. =        0.3128413E+02

  global error =        0.2350726E-03 iter. number =   800 denomin. =        0.3122009E+02

  global error =        0.1974866E-03 iter. number =   900 denomin. =        0.3120805E+02

  global error =        0.1720380E-03 iter. number =  1000 denomin. =        0.3119945E+02

  global error =        0.1560675E-03 iter. number =  1100 denomin. =        0.3120182E+02

  global error =        0.1390110E-03 iter. number =  1200 denomin. =        0.3120007E+02

  global error =        0.1227796E-03 iter. number =  1300 denomin. =        0.3120067E+02

  global error =        0.1087814E-03 iter. number =  1400 denomin. =        0.3120231E+02

  convergence  for freq. #    79 achieved in  1468 inner iterations 
 relative error value =       0.99949267E-04


  frequency number    78 frequency :       0.58125000E+00
 jw  real sour, imag sour =     78      0.19435E+00      0.79966E+00

  global error =        0.7982785E-02 iter. number =   100 denomin. =        0.3003393E+02

  global error =        0.4587566E-02 iter. number =   200 denomin. =        0.2687198E+02

  global error =        0.1675863E-02 iter. number =   300 denomin. =        0.2612424E+02

  global error =        0.1095649E-02 iter. number =   400 denomin. =        0.2819736E+02

  global error =        0.5810356E-03 iter. number =   500 denomin. =        0.2895313E+02

  global error =        0.4630280E-03 iter. number =   600 denomin. =        0.2861361E+02

  global error =        0.3553243E-03 iter. number =   700 denomin. =        0.2843479E+02

  global error =        0.3094102E-03 iter. number =   800 denomin. =        0.2818110E+02

  global error =        0.2649008E-03 iter. number =   900 denomin. =        0.2806498E+02

  global error =        0.2268083E-03 iter. number =  1000 denomin. =        0.2808788E+02

  global error =        0.1948423E-03 iter. number =  1100 denomin. =        0.2810639E+02

  global error =        0.1723385E-03 iter. number =  1200 denomin. =        0.2812703E+02

  global error =        0.1563964E-03 iter. number =  1300 denomin. =        0.2813871E+02

  global error =        0.1408458E-03 iter. number =  1400 denomin. =        0.2813591E+02

  global error =        0.1267833E-03 iter. number =  1500 denomin. =        0.2813420E+02

  global error =        0.1142943E-03 iter. number =  1600 denomin. =        0.2813201E+02

  global error =        0.1034359E-03 iter. number =  1700 denomin. =        0.2812977E+02

  convergence  for freq. #    78 achieved in  1737 inner iterations 
 relative error value =       0.99976310E-04


  frequency number    77 frequency :       0.57375000E+00
 jw  real sour, imag sour =     77      0.12758E+00      0.82037E+00

  global error =        0.8584061E-02 iter. number =   100 denomin. =        0.3090366E+02

  global error =        0.5314095E-02 iter. number =   200 denomin. =        0.3312080E+02

  global error =        0.2347860E-02 iter. number =   300 denomin. =        0.2968461E+02

  global error =        0.1353883E-02 iter. number =   400 denomin. =        0.2406098E+02

  global error =        0.7573279E-03 iter. number =   500 denomin. =        0.2169053E+02

  global error =        0.4515446E-03 iter. number =   600 denomin. =        0.2146500E+02

  global error =        0.3462603E-03 iter. number =   700 denomin. =        0.2155189E+02

  global error =        0.2579386E-03 iter. number =   800 denomin. =        0.2163434E+02

  global error =        0.2191564E-03 iter. number =   900 denomin. =        0.2172096E+02

  global error =        0.1846896E-03 iter. number =  1000 denomin. =        0.2176829E+02

  global error =        0.1653081E-03 iter. number =  1100 denomin. =        0.2174868E+02

  global error =        0.1513129E-03 iter. number =  1200 denomin. =        0.2173261E+02

  global error =        0.1362712E-03 iter. number =  1300 denomin. =        0.2173789E+02

  global error =        0.1198136E-03 iter. number =  1400 denomin. =        0.2173770E+02

  global error =        0.1050809E-03 iter. number =  1500 denomin. =        0.2173376E+02

  convergence  for freq. #    77 achieved in  1543 inner iterations 
 relative error value =       0.99903062E-04


  frequency number    76 frequency :       0.56625000E+00
 jw  real sour, imag sour =     76      0.58661E-01      0.83515E+00

  global error =        0.6853377E-02 iter. number =   100 denomin. =        0.2099900E+02

  global error =        0.3074208E-02 iter. number =   200 denomin. =        0.2269198E+02

  global error =        0.1751522E-02 iter. number =   300 denomin. =        0.2847697E+02

  global error =        0.1012277E-02 iter. number =   400 denomin. =        0.3364350E+02

  global error =        0.5845192E-03 iter. number =   500 denomin. =        0.3673976E+02

  global error =        0.4196181E-03 iter. number =   600 denomin. =        0.3880571E+02

  global error =        0.2849982E-03 iter. number =   700 denomin. =        0.3998773E+02

  global error =        0.2203590E-03 iter. number =   800 denomin. =        0.4059081E+02

  global error =        0.1800870E-03 iter. number =   900 denomin. =        0.4086074E+02

  global error =        0.1515234E-03 iter. number =  1000 denomin. =        0.4094215E+02

  global error =        0.1285601E-03 iter. number =  1100 denomin. =        0.4093499E+02

  global error =        0.1087249E-03 iter. number =  1200 denomin. =        0.4089222E+02

  convergence  for freq. #    76 achieved in  1265 inner iterations 
 relative error value =       0.99989230E-04


  frequency number    75 frequency :       0.55875000E+00
 jw  real sour, imag sour =     75     -0.11835E-01      0.84377E+00

  global error =        0.9340988E-02 iter. number =   100 denomin. =        0.4196992E+02

  global error =        0.7047722E-02 iter. number =   200 denomin. =        0.3913443E+02

  global error =        0.3981444E-02 iter. number =   300 denomin. =        0.3177887E+02

  global error =        0.2672509E-02 iter. number =   400 denomin. =        0.2583249E+02

  global error =        0.1766971E-02 iter. number =   500 denomin. =        0.2452591E+02

  global error =        0.9950109E-03 iter. number =   600 denomin. =        0.2587159E+02

  global error =        0.6231231E-03 iter. number =   700 denomin. =        0.2645443E+02

  global error =        0.4401320E-03 iter. number =   800 denomin. =        0.2598401E+02

  global error =        0.3112908E-03 iter. number =   900 denomin. =        0.2551659E+02

  global error =        0.2421759E-03 iter. number =  1000 denomin. =        0.2548967E+02

  global error =        0.2025977E-03 iter. number =  1100 denomin. =        0.2565254E+02

  global error =        0.1760196E-03 iter. number =  1200 denomin. =        0.2573446E+02

  global error =        0.1541123E-03 iter. number =  1300 denomin. =        0.2571117E+02

  global error =        0.1364701E-03 iter. number =  1400 denomin. =        0.2567064E+02

  global error =        0.1232829E-03 iter. number =  1500 denomin. =        0.2566228E+02

  global error =        0.1122465E-03 iter. number =  1600 denomin. =        0.2567381E+02

  global error =        0.1036396E-03 iter. number =  1700 denomin. =        0.2568095E+02

  convergence  for freq. #    75 achieved in  1744 inner iterations 
 relative error value =       0.99995776E-04


  frequency number    74 frequency :       0.55125000E+00
 jw  real sour, imag sour =     74     -0.83331E-01      0.84607E+00

  global error =        0.7202251E-02 iter. number =   100 denomin. =        0.2982518E+02

  global error =        0.4420000E-02 iter. number =   200 denomin. =        0.3776526E+02

  global error =        0.2617519E-02 iter. number =   300 denomin. =        0.4467094E+02

  global error =        0.1481783E-02 iter. number =   400 denomin. =        0.4580375E+02

  global error =        0.9025510E-03 iter. number =   500 denomin. =        0.4346823E+02

  global error =        0.5984444E-03 iter. number =   600 denomin. =        0.4045597E+02

  global error =        0.3949884E-03 iter. number =   700 denomin. =        0.3818322E+02

  global error =        0.2696799E-03 iter. number =   800 denomin. =        0.3699839E+02

  global error =        0.1965560E-03 iter. number =   900 denomin. =        0.3662184E+02

  global error =        0.1532765E-03 iter. number =  1000 denomin. =        0.3667139E+02

  global error =        0.1284218E-03 iter. number =  1100 denomin. =        0.3685356E+02

  global error =        0.1090322E-03 iter. number =  1200 denomin. =        0.3701637E+02

  convergence  for freq. #    74 achieved in  1253 inner iterations 
 relative error value =       0.99886175E-04


  frequency number    73 frequency :       0.54375000E+00
 jw  real sour, imag sour =     73     -0.15523E+00      0.84193E+00

  global error =        0.8122469E-02 iter. number =   100 denomin. =        0.3604833E+02

  global error =        0.5123636E-02 iter. number =   200 denomin. =        0.3322527E+02

  global error =        0.2300598E-02 iter. number =   300 denomin. =        0.3546222E+02

  global error =        0.1475555E-02 iter. number =   400 denomin. =        0.4070965E+02

  global error =        0.8242366E-03 iter. number =   500 denomin. =        0.4173876E+02

  global error =        0.5114508E-03 iter. number =   600 denomin. =        0.4140250E+02

  global error =        0.3396689E-03 iter. number =   700 denomin. =        0.4180268E+02

  global error =        0.2339290E-03 iter. number =   800 denomin. =        0.4163777E+02

  global error =        0.1684193E-03 iter. number =   900 denomin. =        0.4146071E+02

  global error =        0.1291666E-03 iter. number =  1000 denomin. =        0.4154536E+02

  global error =        0.1060051E-03 iter. number =  1100 denomin. =        0.4154235E+02

  convergence  for freq. #    73 achieved in  1140 inner iterations 
 relative error value =       0.99979743E-04


  frequency number    72 frequency :       0.53625000E+00
 jw  real sour, imag sour =     72     -0.22691E+00      0.83129E+00

  global error =        0.8848587E-02 iter. number =   100 denomin. =        0.4472060E+02

  global error =        0.6308545E-02 iter. number =   200 denomin. =        0.4958780E+02

  global error =        0.3312981E-02 iter. number =   300 denomin. =        0.4671115E+02

  global error =        0.1908602E-02 iter. number =   400 denomin. =        0.3736291E+02

  global error =        0.1008149E-02 iter. number =   500 denomin. =        0.3363028E+02

  global error =        0.5538543E-03 iter. number =   600 denomin. =        0.3399358E+02

  global error =        0.3098535E-03 iter. number =   700 denomin. =        0.3457944E+02

  global error =        0.2478036E-03 iter. number =   800 denomin. =        0.3460191E+02

  global error =        0.1836777E-03 iter. number =   900 denomin. =        0.3447113E+02

  global error =        0.1550985E-03 iter. number =  1000 denomin. =        0.3440016E+02

  global error =        0.1324855E-03 iter. number =  1100 denomin. =        0.3441315E+02

  global error =        0.1159728E-03 iter. number =  1200 denomin. =        0.3444920E+02

  global error =        0.1012574E-03 iter. number =  1300 denomin. =        0.3444870E+02

  convergence  for freq. #    72 achieved in  1310 inner iterations 
 relative error value =       0.99908260E-04


  frequency number    71 frequency :       0.52875000E+00
 jw  real sour, imag sour =     71     -0.29777E+00      0.81417E+00

  global error =        0.7245468E-02 iter. number =   100 denomin. =        0.3389942E+02

  global error =        0.3512279E-02 iter. number =   200 denomin. =        0.3483176E+02

  global error =        0.1141857E-02 iter. number =   300 denomin. =        0.3850052E+02

  global error =        0.5561613E-03 iter. number =   400 denomin. =        0.4143945E+02

  global error =        0.3900627E-03 iter. number =   500 denomin. =        0.4327386E+02

  global error =        0.2431607E-03 iter. number =   600 denomin. =        0.4409306E+02

  global error =        0.1946848E-03 iter. number =   700 denomin. =        0.4427656E+02

  global error =        0.1604706E-03 iter. number =   800 denomin. =        0.4432351E+02

  global error =        0.1388990E-03 iter. number =   900 denomin. =        0.4427471E+02

  global error =        0.1218604E-03 iter. number =  1000 denomin. =        0.4424369E+02

  global error =        0.1084319E-03 iter. number =  1100 denomin. =        0.4421419E+02

  convergence  for freq. #    71 achieved in  1163 inner iterations 
 relative error value =       0.99988117E-04


  frequency number    70 frequency :       0.52125000E+00
 jw  real sour, imag sour =     70     -0.36718E+00      0.79063E+00

  global error =        0.9136981E-02 iter. number =   100 denomin. =        0.4442703E+02

  global error =        0.6091197E-02 iter. number =   200 denomin. =        0.3872351E+02

  global error =        0.2713145E-02 iter. number =   300 denomin. =        0.2949056E+02

  global error =        0.1528985E-02 iter. number =   400 denomin. =        0.2608470E+02

  global error =        0.7395890E-03 iter. number =   500 denomin. =        0.2624258E+02

  global error =        0.4483183E-03 iter. number =   600 denomin. =        0.2617976E+02

  global error =        0.3601515E-03 iter. number =   700 denomin. =        0.2598782E+02

  global error =        0.2653643E-03 iter. number =   800 denomin. =        0.2603594E+02

  global error =        0.2256236E-03 iter. number =   900 denomin. =        0.2617375E+02

  global error =        0.1905733E-03 iter. number =  1000 denomin. =        0.2620646E+02

  global error =        0.1668040E-03 iter. number =  1100 denomin. =        0.2615412E+02

  global error =        0.1465319E-03 iter. number =  1200 denomin. =        0.2611664E+02

  global error =        0.1298581E-03 iter. number =  1300 denomin. =        0.2611895E+02

  global error =        0.1170203E-03 iter. number =  1400 denomin. =        0.2613380E+02

  global error =        0.1051459E-03 iter. number =  1500 denomin. =        0.2614011E+02

  convergence  for freq. #    70 achieved in  1555 inner iterations 
 relative error value =       0.99951032E-04


  frequency number    69 frequency :       0.51375000E+00
 jw  real sour, imag sour =     69     -0.43452E+00      0.76080E+00

  global error =        0.7371911E-02 iter. number =   100 denomin. =        0.2823591E+02

  global error =        0.3937488E-02 iter. number =   200 denomin. =        0.3412254E+02

  global error =        0.1929210E-02 iter. number =   300 denomin. =        0.3895078E+02

  global error =        0.1121597E-02 iter. number =   400 denomin. =        0.4043979E+02

  global error =        0.7129985E-03 iter. number =   500 denomin. =        0.4012296E+02

  global error =        0.4434765E-03 iter. number =   600 denomin. =        0.3934089E+02

  global error =        0.3049474E-03 iter. number =   700 denomin. =        0.3837264E+02

  global error =        0.2318675E-03 iter. number =   800 denomin. =        0.3760021E+02

  global error =        0.1857668E-03 iter. number =   900 denomin. =        0.3711167E+02

  global error =        0.1573588E-03 iter. number =  1000 denomin. =        0.3683693E+02

  global error =        0.1369216E-03 iter. number =  1100 denomin. =        0.3670218E+02

  global error =        0.1213232E-03 iter. number =  1200 denomin. =        0.3664976E+02

  global error =        0.1089778E-03 iter. number =  1300 denomin. =        0.3663906E+02

  convergence  for freq. #    69 achieved in  1386 inner iterations 
 relative error value =       0.99988172E-04


  frequency number    68 frequency :       0.50625000E+00
 jw  real sour, imag sour =     68     -0.49920E+00      0.72488E+00

  global error =        0.8373513E-02 iter. number =   100 denomin. =        0.3450906E+02

  global error =        0.4723592E-02 iter. number =   200 denomin. =        0.3229541E+02

  global error =        0.2425545E-02 iter. number =   300 denomin. =        0.3885841E+02

  global error =        0.1283812E-02 iter. number =   400 denomin. =        0.4731505E+02

  global error =        0.5239252E-03 iter. number =   500 denomin. =        0.5071928E+02

  global error =        0.3573245E-03 iter. number =   600 denomin. =        0.5216445E+02

  global error =        0.2397157E-03 iter. number =   700 denomin. =        0.5296638E+02

  global error =        0.1797894E-03 iter. number =   800 denomin. =        0.5307854E+02

  global error =        0.1533150E-03 iter. number =   900 denomin. =        0.5294026E+02

  global error =        0.1324783E-03 iter. number =  1000 denomin. =        0.5278820E+02

  global error =        0.1155340E-03 iter. number =  1100 denomin. =        0.5266364E+02

  global error =        0.1024159E-03 iter. number =  1200 denomin. =        0.5257455E+02

  convergence  for freq. #    68 achieved in  1222 inner iterations 
 relative error value =       0.99991405E-04


  frequency number    67 frequency :       0.49875000E+00
 jw  real sour, imag sour =     67     -0.56062E+00      0.68312E+00

  global error =        0.9120361E-02 iter. number =   100 denomin. =        0.5814592E+02

  global error =        0.6869783E-02 iter. number =   200 denomin. =        0.6310984E+02

  global error =        0.4095890E-02 iter. number =   300 denomin. =        0.5683967E+02

  global error =        0.2774103E-02 iter. number =   400 denomin. =        0.4330890E+02

  global error =        0.2056221E-02 iter. number =   500 denomin. =        0.3531886E+02

  global error =        0.1256675E-02 iter. number =   600 denomin. =        0.3593223E+02

  global error =        0.7907838E-03 iter. number =   700 denomin. =        0.3896425E+02

  global error =        0.5023750E-03 iter. number =   800 denomin. =        0.4016519E+02

  global error =        0.3454701E-03 iter. number =   900 denomin. =        0.3955557E+02

  global error =        0.2494240E-03 iter. number =  1000 denomin. =        0.3874164E+02

  global error =        0.1899178E-03 iter. number =  1100 denomin. =        0.3853078E+02

  global error =        0.1520246E-03 iter. number =  1200 denomin. =        0.3873088E+02

  global error =        0.1276560E-03 iter. number =  1300 denomin. =        0.3892361E+02

  global error =        0.1139759E-03 iter. number =  1400 denomin. =        0.3895084E+02

  global error =        0.1042681E-03 iter. number =  1500 denomin. =        0.3889084E+02

  convergence  for freq. #    67 achieved in  1546 inner iterations 
 relative error value =       0.99935047E-04


  frequency number    66 frequency :       0.49125000E+00
 jw  real sour, imag sour =     66     -0.61824E+00      0.63583E+00

  global error =        0.7158464E-02 iter. number =   100 denomin. =        0.4072652E+02

  global error =        0.4039887E-02 iter. number =   200 denomin. =        0.4546767E+02

  global error =        0.2403495E-02 iter. number =   300 denomin. =        0.5296141E+02

  global error =        0.1379019E-02 iter. number =   400 denomin. =        0.5716936E+02

  global error =        0.6412266E-03 iter. number =   500 denomin. =        0.5872531E+02

  global error =        0.4040719E-03 iter. number =   600 denomin. =        0.5928359E+02

  global error =        0.2540563E-03 iter. number =   700 denomin. =        0.5917390E+02

  global error =        0.1764605E-03 iter. number =   800 denomin. =        0.5905576E+02

  global error =        0.1445739E-03 iter. number =   900 denomin. =        0.5897180E+02

  global error =        0.1190564E-03 iter. number =  1000 denomin. =        0.5892688E+02

  global error =        0.1036878E-03 iter. number =  1100 denomin. =        0.5891996E+02

  convergence  for freq. #    66 achieved in  1130 inner iterations 
 relative error value =       0.99903243E-04


  frequency number    65 frequency :       0.48375000E+00
 jw  real sour, imag sour =     65     -0.67153E+00      0.58338E+00

  global error =        0.9295398E-02 iter. number =   100 denomin. =        0.5774496E+02

  global error =        0.6745769E-02 iter. number =   200 denomin. =        0.4950541E+02

  global error =        0.3321232E-02 iter. number =   300 denomin. =        0.4104983E+02

  global error =        0.1865666E-02 iter. number =   400 denomin. =        0.3994400E+02

  global error =        0.1092993E-02 iter. number =   500 denomin. =        0.4125801E+02

  global error =        0.6921741E-03 iter. number =   600 denomin. =        0.4006800E+02

  global error =        0.4575526E-03 iter. number =   700 denomin. =        0.3932312E+02

  global error =        0.3137699E-03 iter. number =   800 denomin. =        0.3964760E+02

  global error =        0.2267315E-03 iter. number =   900 denomin. =        0.3977068E+02

  global error =        0.1769724E-03 iter. number =  1000 denomin. =        0.3968685E+02

  global error =        0.1434142E-03 iter. number =  1100 denomin. =        0.3971872E+02

  global error =        0.1203530E-03 iter. number =  1200 denomin. =        0.3973506E+02

  global error =        0.1055834E-03 iter. number =  1300 denomin. =        0.3970497E+02

  convergence  for freq. #    65 achieved in  1339 inner iterations 
 relative error value =       0.99978533E-04


  frequency number    64 frequency :       0.47625000E+00
 jw  real sour, imag sour =     64     -0.71998E+00      0.52619E+00

  global error =        0.8673655E-02 iter. number =   100 denomin. =        0.4450391E+02

  global error =        0.5347376E-02 iter. number =   200 denomin. =        0.5401106E+02

  global error =        0.2397519E-02 iter. number =   300 denomin. =        0.5564066E+02

  global error =        0.1134238E-02 iter. number =   400 denomin. =        0.4984532E+02

  global error =        0.6276229E-03 iter. number =   500 denomin. =        0.4645010E+02

  global error =        0.4174652E-03 iter. number =   600 denomin. =        0.4411543E+02

  global error =        0.3040661E-03 iter. number =   700 denomin. =        0.4285224E+02

  global error =        0.2217008E-03 iter. number =   800 denomin. =        0.4265641E+02

  global error =        0.1888656E-03 iter. number =   900 denomin. =        0.4275434E+02

  global error =        0.1615540E-03 iter. number =  1000 denomin. =        0.4284954E+02

  global error =        0.1459622E-03 iter. number =  1100 denomin. =        0.4295054E+02

  global error =        0.1348410E-03 iter. number =  1200 denomin. =        0.4299539E+02

  global error =        0.1225973E-03 iter. number =  1300 denomin. =        0.4299456E+02

  global error =        0.1114562E-03 iter. number =  1400 denomin. =        0.4299523E+02

  global error =        0.1026484E-03 iter. number =  1500 denomin. =        0.4298931E+02

  convergence  for freq. #    64 achieved in  1537 inner iterations 
 relative error value =       0.99950100E-04


  frequency number    63 frequency :       0.46875000E+00
 jw  real sour, imag sour =     63     -0.76317E+00      0.46473E+00

  global error =        0.8110116E-02 iter. number =   100 denomin. =        0.3775535E+02

  global error =        0.4150006E-02 iter. number =   200 denomin. =        0.3093323E+02

  global error =        0.1785855E-02 iter. number =   300 denomin. =        0.3320190E+02

  global error =        0.1090918E-02 iter. number =   400 denomin. =        0.3682743E+02

  global error =        0.5730645E-03 iter. number =   500 denomin. =        0.3722799E+02

  global error =        0.4628955E-03 iter. number =   600 denomin. =        0.3699644E+02

  global error =        0.3582542E-03 iter. number =   700 denomin. =        0.3675992E+02

  global error =        0.3200296E-03 iter. number =   800 denomin. =        0.3640829E+02

  global error =        0.2945489E-03 iter. number =   900 denomin. =        0.3618980E+02

  global error =        0.2732805E-03 iter. number =  1000 denomin. =        0.3612096E+02

  global error =        0.2558929E-03 iter. number =  1100 denomin. =        0.3611923E+02

  global error =        0.2397707E-03 iter. number =  1200 denomin. =        0.3613996E+02

  global error =        0.2239115E-03 iter. number =  1300 denomin. =        0.3616292E+02

  global error =        0.2135512E-03 iter. number =  1400 denomin. =        0.3617876E+02

  global error =        0.2042618E-03 iter. number =  1500 denomin. =        0.3618521E+02

  global error =        0.1934399E-03 iter. number =  1600 denomin. =        0.3618605E+02

  global error =        0.1829462E-03 iter. number =  1700 denomin. =        0.3618545E+02

  global error =        0.1719397E-03 iter. number =  1800 denomin. =        0.3618415E+02

  global error =        0.1633998E-03 iter. number =  1900 denomin. =        0.3618285E+02

  global error =        0.1571682E-03 iter. number =  2000 denomin. =        0.3618251E+02

  global error =        0.1507610E-03 iter. number =  2100 denomin. =        0.3618251E+02

  global error =        0.1437322E-03 iter. number =  2200 denomin. =        0.3618212E+02

  global error =        0.1368720E-03 iter. number =  2300 denomin. =        0.3618235E+02

  global error =        0.1309775E-03 iter. number =  2400 denomin. =        0.3618275E+02

  global error =        0.1254279E-03 iter. number =  2500 denomin. =        0.3618230E+02

  global error =        0.1200162E-03 iter. number =  2600 denomin. =        0.3618192E+02

  global error =        0.1144985E-03 iter. number =  2700 denomin. =        0.3618203E+02

  global error =        0.1093684E-03 iter. number =  2800 denomin. =        0.3618188E+02

  global error =        0.1050699E-03 iter. number =  2900 denomin. =        0.3618171E+02

  global error =        0.1010338E-03 iter. number =  3000 denomin. =        0.3618184E+02

  convergence  for freq. #    63 achieved in  3026 inner iterations 
 relative error value =       0.99982448E-04


  frequency number    62 frequency :       0.46125000E+00
 jw  real sour, imag sour =     62     -0.80067E+00      0.39951E+00

  global error =        0.8523512E-02 iter. number =   100 denomin. =        0.3952652E+02

  global error =        0.5255765E-02 iter. number =   200 denomin. =        0.4314484E+02

  global error =        0.2303738E-02 iter. number =   300 denomin. =        0.4186307E+02

  global error =        0.1225808E-02 iter. number =   400 denomin. =        0.3829875E+02

  global error =        0.7762600E-03 iter. number =   500 denomin. =        0.3536191E+02

  global error =        0.5165844E-03 iter. number =   600 denomin. =        0.3409746E+02

  global error =        0.3929352E-03 iter. number =   700 denomin. =        0.3390689E+02

  global error =        0.3401781E-03 iter. number =   800 denomin. =        0.3416278E+02

  global error =        0.3043437E-03 iter. number =   900 denomin. =        0.3442368E+02

  global error =        0.2807852E-03 iter. number =  1000 denomin. =        0.3452058E+02

  global error =        0.2569627E-03 iter. number =  1100 denomin. =        0.3450068E+02

  global error =        0.2337574E-03 iter. number =  1200 denomin. =        0.3445672E+02

  global error =        0.2172208E-03 iter. number =  1300 denomin. =        0.3443459E+02

  global error =        0.2048451E-03 iter. number =  1400 denomin. =        0.3443456E+02

  global error =        0.1895798E-03 iter. number =  1500 denomin. =        0.3444189E+02

  global error =        0.1738911E-03 iter. number =  1600 denomin. =        0.3444704E+02

  global error =        0.1647457E-03 iter. number =  1700 denomin. =        0.3444830E+02

  global error =        0.1536223E-03 iter. number =  1800 denomin. =        0.3444812E+02

  global error =        0.1465751E-03 iter. number =  1900 denomin. =        0.3444744E+02

  global error =        0.1402414E-03 iter. number =  2000 denomin. =        0.3444695E+02

  global error =        0.1337576E-03 iter. number =  2100 denomin. =        0.3444718E+02

  global error =        0.1281086E-03 iter. number =  2200 denomin. =        0.3444763E+02

  global error =        0.1228609E-03 iter. number =  2300 denomin. =        0.3444801E+02

  global error =        0.1181540E-03 iter. number =  2400 denomin. =        0.3444846E+02

  global error =        0.1134210E-03 iter. number =  2500 denomin. =        0.3444874E+02

  global error =        0.1092928E-03 iter. number =  2600 denomin. =        0.3444882E+02

  global error =        0.1048866E-03 iter. number =  2700 denomin. =        0.3444890E+02

  global error =        0.1011781E-03 iter. number =  2800 denomin. =        0.3444907E+02

  convergence  for freq. #    62 achieved in  2840 inner iterations 
 relative error value =       0.99980727E-04


  frequency number    61 frequency :       0.45375000E+00
 jw  real sour, imag sour =     61     -0.83215E+00      0.33109E+00

  global error =        0.7833440E-02 iter. number =   100 denomin. =        0.3903904E+02

  global error =        0.4362516E-02 iter. number =   200 denomin. =        0.4897877E+02

  global error =        0.2619333E-02 iter. number =   300 denomin. =        0.5891884E+02

  global error =        0.1512260E-02 iter. number =   400 denomin. =        0.6159994E+02

  global error =        0.9693794E-03 iter. number =   500 denomin. =        0.5895302E+02

  global error =        0.7170580E-03 iter. number =   600 denomin. =        0.5529426E+02

  global error =        0.5263078E-03 iter. number =   700 denomin. =        0.5206059E+02

  global error =        0.4289791E-03 iter. number =   800 denomin. =        0.5000970E+02

  global error =        0.3678420E-03 iter. number =   900 denomin. =        0.4896761E+02

  global error =        0.3269870E-03 iter. number =  1000 denomin. =        0.4864241E+02

  global error =        0.2999403E-03 iter. number =  1100 denomin. =        0.4868471E+02

  global error =        0.2771972E-03 iter. number =  1200 denomin. =        0.4885555E+02

  global error =        0.2584027E-03 iter. number =  1300 denomin. =        0.4902128E+02

  global error =        0.2417005E-03 iter. number =  1400 denomin. =        0.4913492E+02

  global error =        0.2248017E-03 iter. number =  1500 denomin. =        0.4919305E+02

  global error =        0.2065048E-03 iter. number =  1600 denomin. =        0.4921124E+02

  global error =        0.1894852E-03 iter. number =  1700 denomin. =        0.4920831E+02

  global error =        0.1772853E-03 iter. number =  1800 denomin. =        0.4919868E+02

  global error =        0.1669246E-03 iter. number =  1900 denomin. =        0.4918972E+02

  global error =        0.1565170E-03 iter. number =  2000 denomin. =        0.4918336E+02

  global error =        0.1463564E-03 iter. number =  2100 denomin. =        0.4917966E+02

  global error =        0.1381540E-03 iter. number =  2200 denomin. =        0.4917826E+02

  global error =        0.1316546E-03 iter. number =  2300 denomin. =        0.4917812E+02

  global error =        0.1253740E-03 iter. number =  2400 denomin. =        0.4917833E+02

  global error =        0.1194706E-03 iter. number =  2500 denomin. =        0.4917848E+02

  global error =        0.1141791E-03 iter. number =  2600 denomin. =        0.4917862E+02

  global error =        0.1092072E-03 iter. number =  2700 denomin. =        0.4917874E+02

  global error =        0.1042107E-03 iter. number =  2800 denomin. =        0.4917861E+02

  convergence  for freq. #    61 achieved in  2884 inner iterations 
 relative error value =       0.99981046E-04


  frequency number    60 frequency :       0.44625000E+00
 jw  real sour, imag sour =     60     -0.85732E+00      0.26006E+00

  global error =        0.8869629E-02 iter. number =   100 denomin. =        0.4606784E+02

  global error =        0.5627130E-02 iter. number =   200 denomin. =        0.4017015E+02

  global error =        0.2917866E-02 iter. number =   300 denomin. =        0.4596761E+02

  global error =        0.1621263E-02 iter. number =   400 denomin. =        0.5481295E+02

  global error =        0.7667424E-03 iter. number =   500 denomin. =        0.5640011E+02

  global error =        0.5362799E-03 iter. number =   600 denomin. =        0.5662957E+02

  global error =        0.3541138E-03 iter. number =   700 denomin. =        0.5715563E+02

  global error =        0.2945013E-03 iter. number =   800 denomin. =        0.5693921E+02

  global error =        0.2491288E-03 iter. number =   900 denomin. =        0.5683117E+02

  global error =        0.2151394E-03 iter. number =  1000 denomin. =        0.5697880E+02

  global error =        0.1900723E-03 iter. number =  1100 denomin. =        0.5699598E+02

  global error =        0.1725735E-03 iter. number =  1200 denomin. =        0.5698237E+02

  global error =        0.1579069E-03 iter. number =  1300 denomin. =        0.5699733E+02

  global error =        0.1435627E-03 iter. number =  1400 denomin. =        0.5699348E+02

  global error =        0.1269096E-03 iter. number =  1500 denomin. =        0.5698946E+02

  global error =        0.1136824E-03 iter. number =  1600 denomin. =        0.5699230E+02

  global error =        0.1033592E-03 iter. number =  1700 denomin. =        0.5699427E+02

  convergence  for freq. #    60 achieved in  1737 inner iterations 
 relative error value =       0.99946862E-04


  frequency number    59 frequency :       0.43875000E+00
 jw  real sour, imag sour =     59     -0.87593E+00      0.18704E+00

  global error =        0.8772501E-02 iter. number =   100 denomin. =        0.6222659E+02

  global error =        0.6519535E-02 iter. number =   200 denomin. =        0.7094206E+02

  global error =        0.3842346E-02 iter. number =   300 denomin. =        0.7079907E+02

  global error =        0.2211151E-02 iter. number =   400 denomin. =        0.6214773E+02

  global error =        0.1340673E-02 iter. number =   500 denomin. =        0.5432489E+02

  global error =        0.7684140E-03 iter. number =   600 denomin. =        0.5233942E+02

  global error =        0.5504061E-03 iter. number =   700 denomin. =        0.5330205E+02

  global error =        0.4257728E-03 iter. number =   800 denomin. =        0.5422514E+02

  global error =        0.3608172E-03 iter. number =   900 denomin. =        0.5430126E+02

  global error =        0.3118083E-03 iter. number =  1000 denomin. =        0.5402244E+02

  global error =        0.2784077E-03 iter. number =  1100 denomin. =        0.5385284E+02

  global error =        0.2486043E-03 iter. number =  1200 denomin. =        0.5385020E+02

  global error =        0.2250888E-03 iter. number =  1300 denomin. =        0.5389980E+02

  global error =        0.1998597E-03 iter. number =  1400 denomin. =        0.5392236E+02

  global error =        0.1724744E-03 iter. number =  1500 denomin. =        0.5391668E+02

  global error =        0.1503915E-03 iter. number =  1600 denomin. =        0.5390671E+02

  global error =        0.1322378E-03 iter. number =  1700 denomin. =        0.5390343E+02

  global error =        0.1180941E-03 iter. number =  1800 denomin. =        0.5390469E+02

  global error =        0.1072221E-03 iter. number =  1900 denomin. =        0.5390617E+02

  convergence  for freq. #    59 achieved in  1979 inner iterations 
 relative error value =       0.99912525E-04


  frequency number    58 frequency :       0.43125000E+00
 jw  real sour, imag sour =     58     -0.88783E+00      0.11267E+00

  global error =        0.8150059E-02 iter. number =   100 denomin. =        0.5476991E+02

  global error =        0.4844908E-02 iter. number =   200 denomin. =        0.5782605E+02

  global error =        0.2220120E-02 iter. number =   300 denomin. =        0.6224665E+02

  global error =        0.1040902E-02 iter. number =   400 denomin. =        0.6484896E+02

  global error =        0.5155038E-03 iter. number =   500 denomin. =        0.6654077E+02

  global error =        0.3812995E-03 iter. number =   600 denomin. =        0.6772086E+02

  global error =        0.2994253E-03 iter. number =   700 denomin. =        0.6847899E+02

  global error =        0.2523633E-03 iter. number =   800 denomin. =        0.6872597E+02

  global error =        0.2140070E-03 iter. number =   900 denomin. =        0.6882275E+02

  global error =        0.1772150E-03 iter. number =  1000 denomin. =        0.6883224E+02

  global error =        0.1542007E-03 iter. number =  1100 denomin. =        0.6883138E+02

  global error =        0.1372431E-03 iter. number =  1200 denomin. =        0.6882562E+02

  global error =        0.1188404E-03 iter. number =  1300 denomin. =        0.6881389E+02

  global error =        0.1014265E-03 iter. number =  1400 denomin. =        0.6880902E+02

  convergence  for freq. #    58 achieved in  1410 inner iterations 
 relative error value =       0.99931284E-04


  frequency number    57 frequency :       0.42375000E+00
 jw  real sour, imag sour =     57     -0.89291E+00      0.37591E-01

  global error =        0.9358824E-02 iter. number =   100 denomin. =        0.6385722E+02

  global error =        0.6909705E-02 iter. number =   200 denomin. =        0.4400516E+02

  global error =        0.3698941E-02 iter. number =   300 denomin. =        0.2986374E+02

  global error =        0.1708649E-02 iter. number =   400 denomin. =        0.3183114E+02

  global error =        0.7941644E-03 iter. number =   500 denomin. =        0.3406164E+02

  global error =        0.4918850E-03 iter. number =   600 denomin. =        0.3347967E+02

  global error =        0.3740693E-03 iter. number =   700 denomin. =        0.3308935E+02

  global error =        0.3024426E-03 iter. number =   800 denomin. =        0.3307719E+02

  global error =        0.2513195E-03 iter. number =   900 denomin. =        0.3322578E+02

  global error =        0.2071464E-03 iter. number =  1000 denomin. =        0.3327887E+02

  global error =        0.1674906E-03 iter. number =  1100 denomin. =        0.3323549E+02

  global error =        0.1386859E-03 iter. number =  1200 denomin. =        0.3321696E+02

  global error =        0.1216347E-03 iter. number =  1300 denomin. =        0.3322006E+02

  global error =        0.1031428E-03 iter. number =  1400 denomin. =        0.3322495E+02

  convergence  for freq. #    57 achieved in  1419 inner iterations 
 relative error value =       0.99987420E-04


  frequency number    56 frequency :       0.41625000E+00
 jw  real sour, imag sour =     56     -0.89113E+00     -0.37517E-01

  global error =        0.8271347E-02 iter. number =   100 denomin. =        0.3720785E+02

  global error =        0.4838158E-02 iter. number =   200 denomin. =        0.4605714E+02

  global error =        0.2069172E-02 iter. number =   300 denomin. =        0.4894504E+02

  global error =        0.1151558E-02 iter. number =   400 denomin. =        0.4559866E+02

  global error =        0.7126677E-03 iter. number =   500 denomin. =        0.4217700E+02

  global error =        0.4169876E-03 iter. number =   600 denomin. =        0.4097776E+02

  global error =        0.3262420E-03 iter. number =   700 denomin. =        0.4070698E+02

  global error =        0.2519845E-03 iter. number =   800 denomin. =        0.4072027E+02

  global error =        0.2061310E-03 iter. number =   900 denomin. =        0.4084735E+02

  global error =        0.1641638E-03 iter. number =  1000 denomin. =        0.4093470E+02

  global error =        0.1357128E-03 iter. number =  1100 denomin. =        0.4093456E+02

  global error =        0.1131632E-03 iter. number =  1200 denomin. =        0.4090806E+02

  convergence  for freq. #    56 achieved in  1276 inner iterations 
 relative error value =       0.99986596E-04


  frequency number    55 frequency :       0.40875000E+00
 jw  real sour, imag sour =     55     -0.88252E+00     -0.11199E+00

  global error =        0.8549899E-02 iter. number =   100 denomin. =        0.3831508E+02

  global error =        0.4341600E-02 iter. number =   200 denomin. =        0.3746737E+02

  global error =        0.2234745E-02 iter. number =   300 denomin. =        0.4473599E+02

  global error =        0.1401406E-02 iter. number =   400 denomin. =        0.5337969E+02

  global error =        0.5756434E-03 iter. number =   500 denomin. =        0.5757119E+02

  global error =        0.4870569E-03 iter. number =   600 denomin. =        0.6084560E+02

  global error =        0.2626345E-03 iter. number =   700 denomin. =        0.6295281E+02

  global error =        0.1936538E-03 iter. number =   800 denomin. =        0.6382702E+02

  global error =        0.1388920E-03 iter. number =   900 denomin. =        0.6448969E+02

  convergence  for freq. #    55 achieved in   992 inner iterations 
 relative error value =       0.99860697E-04


  frequency number    54 frequency :       0.40125000E+00
 jw  real sour, imag sour =     54     -0.86719E+00     -0.18517E+00

  global error =        0.9856806E-02 iter. number =   100 denomin. =        0.6477735E+02

  global error =        0.7062526E-02 iter. number =   200 denomin. =        0.5536328E+02

  global error =        0.3828706E-02 iter. number =   300 denomin. =        0.4479333E+02

  global error =        0.1993720E-02 iter. number =   400 denomin. =        0.4244250E+02

  global error =        0.1123511E-02 iter. number =   500 denomin. =        0.4443611E+02

  global error =        0.5419427E-03 iter. number =   600 denomin. =        0.4551396E+02

  global error =        0.3616101E-03 iter. number =   700 denomin. =        0.4520110E+02

  global error =        0.2451723E-03 iter. number =   800 denomin. =        0.4465437E+02

  global error =        0.1625426E-03 iter. number =   900 denomin. =        0.4445606E+02

  global error =        0.1183013E-03 iter. number =  1000 denomin. =        0.4451014E+02

  convergence  for freq. #    54 achieved in  1064 inner iterations 
 relative error value =       0.99865856E-04


  frequency number    53 frequency :       0.39375000E+00
 jw  real sour, imag sour =     53     -0.84529E+00     -0.25642E+00

  global error =        0.7869868E-02 iter. number =   100 denomin. =        0.5080916E+02

  global error =        0.5220371E-02 iter. number =   200 denomin. =        0.6177736E+02

  global error =        0.3340969E-02 iter. number =   300 denomin. =        0.7095393E+02

  global error =        0.1757173E-02 iter. number =   400 denomin. =        0.7110875E+02

  global error =        0.1080142E-02 iter. number =   500 denomin. =        0.6701159E+02

  global error =        0.6200710E-03 iter. number =   600 denomin. =        0.6217002E+02

  global error =        0.4111809E-03 iter. number =   700 denomin. =        0.5958953E+02

  global error =        0.2703242E-03 iter. number =   800 denomin. =        0.5900483E+02

  global error =        0.1819986E-03 iter. number =   900 denomin. =        0.5943231E+02

  global error =        0.1286965E-03 iter. number =  1000 denomin. =        0.5998117E+02

  convergence  for freq. #    53 achieved in  1076 inner iterations 
 relative error value =       0.99993284E-04


  frequency number    52 frequency :       0.38625000E+00
 jw  real sour, imag sour =     52     -0.81706E+00     -0.32509E+00

  global error =        0.8747528E-02 iter. number =   100 denomin. =        0.5952408E+02

  global error =        0.5418927E-02 iter. number =   200 denomin. =        0.5462680E+02

  global error =        0.2284564E-02 iter. number =   300 denomin. =        0.5653359E+02

  global error =        0.1303619E-02 iter. number =   400 denomin. =        0.6123345E+02

  global error =        0.7427715E-03 iter. number =   500 denomin. =        0.6266594E+02

  global error =        0.4497022E-03 iter. number =   600 denomin. =        0.6322524E+02

  global error =        0.2871141E-03 iter. number =   700 denomin. =        0.6370546E+02

  global error =        0.1912645E-03 iter. number =   800 denomin. =        0.6351263E+02

  global error =        0.1363165E-03 iter. number =   900 denomin. =        0.6325966E+02

  convergence  for freq. #    52 achieved in   993 inner iterations 
 relative error value =       0.99908747E-04


  frequency number    51 frequency :       0.37875000E+00
 jw  real sour, imag sour =     51     -0.78279E+00     -0.39059E+00

  global error =        0.1020527E-01 iter. number =   100 denomin. =        0.6620531E+02

  global error =        0.7720562E-02 iter. number =   200 denomin. =        0.6591689E+02

  global error =        0.4236633E-02 iter. number =   300 denomin. =        0.5379997E+02

  global error =        0.2109326E-02 iter. number =   400 denomin. =        0.4036307E+02

  global error =        0.9581218E-03 iter. number =   500 denomin. =        0.3614259E+02

  global error =        0.4449445E-03 iter. number =   600 denomin. =        0.3617119E+02

  global error =        0.3229968E-03 iter. number =   700 denomin. =        0.3644165E+02

  global error =        0.2296900E-03 iter. number =   800 denomin. =        0.3679159E+02

  global error =        0.1672052E-03 iter. number =   900 denomin. =        0.3703140E+02

  global error =        0.1222366E-03 iter. number =  1000 denomin. =        0.3702264E+02

  convergence  for freq. #    51 achieved in  1083 inner iterations 
 relative error value =       0.99875892E-04


  frequency number    50 frequency :       0.37125000E+00
 jw  real sour, imag sour =     50     -0.74284E+00     -0.45235E+00

  global error =        0.8235169E-02 iter. number =   100 denomin. =        0.3817343E+02

  global error =        0.4887960E-02 iter. number =   200 denomin. =        0.4489296E+02

  global error =        0.2249578E-02 iter. number =   300 denomin. =        0.4936715E+02

  global error =        0.1136808E-02 iter. number =   400 denomin. =        0.4787907E+02

  global error =        0.7917513E-03 iter. number =   500 denomin. =        0.4544462E+02

  global error =        0.4644314E-03 iter. number =   600 denomin. =        0.4304645E+02

  global error =        0.3150666E-03 iter. number =   700 denomin. =        0.4121182E+02

  global error =        0.1882122E-03 iter. number =   800 denomin. =        0.4039634E+02

  global error =        0.1349373E-03 iter. number =   900 denomin. =        0.4015847E+02

  convergence  for freq. #    50 achieved in   996 inner iterations 
 relative error value =       0.99970312E-04


  frequency number    49 frequency :       0.36375000E+00
 jw  real sour, imag sour =     49     -0.69762E+00     -0.50985E+00

  global error =        0.8731254E-02 iter. number =   100 denomin. =        0.3845711E+02

  global error =        0.5027055E-02 iter. number =   200 denomin. =        0.3727402E+02

  global error =        0.2583118E-02 iter. number =   300 denomin. =        0.4191513E+02

  global error =        0.1636948E-02 iter. number =   400 denomin. =        0.4902574E+02

  global error =        0.7352728E-03 iter. number =   500 denomin. =        0.5040774E+02

  global error =        0.5391057E-03 iter. number =   600 denomin. =        0.4990895E+02

  global error =        0.2737912E-03 iter. number =   700 denomin. =        0.5023763E+02

  global error =        0.1815145E-03 iter. number =   800 denomin. =        0.4981020E+02

  global error =        0.1282695E-03 iter. number =   900 denomin. =        0.4930434E+02

  convergence  for freq. #    49 achieved in   948 inner iterations 
 relative error value =       0.99738226E-04


  frequency number    48 frequency :       0.35625000E+00
 jw  real sour, imag sour =     48     -0.64760E+00     -0.56259E+00

  global error =        0.9654585E-02 iter. number =   100 denomin. =        0.5272931E+02

  global error =        0.6293080E-02 iter. number =   200 denomin. =        0.5066976E+02

  global error =        0.3460789E-02 iter. number =   300 denomin. =        0.3976514E+02

  global error =        0.2225439E-02 iter. number =   400 denomin. =        0.3116047E+02

  global error =        0.1102595E-02 iter. number =   500 denomin. =        0.3028553E+02

  global error =        0.5872189E-03 iter. number =   600 denomin. =        0.3134519E+02

  global error =        0.3189402E-03 iter. number =   700 denomin. =        0.3127484E+02

  global error =        0.1980455E-03 iter. number =   800 denomin. =        0.3096455E+02

  global error =        0.1278308E-03 iter. number =   900 denomin. =        0.3103768E+02

  convergence  for freq. #    48 achieved in   958 inner iterations 
 relative error value =       0.99935054E-04


  frequency number    47 frequency :       0.34875000E+00
 jw  real sour, imag sour =     47     -0.59328E+00     -0.61016E+00

  global error =        0.7409633E-02 iter. number =   100 denomin. =        0.3375191E+02

  global error =        0.3872546E-02 iter. number =   200 denomin. =        0.4186072E+02

  global error =        0.2657799E-02 iter. number =   300 denomin. =        0.5365012E+02

  global error =        0.1305172E-02 iter. number =   400 denomin. =        0.6136010E+02

  global error =        0.7897610E-03 iter. number =   500 denomin. =        0.6553175E+02

  global error =        0.4053751E-03 iter. number =   600 denomin. =        0.6711013E+02

  global error =        0.2449984E-03 iter. number =   700 denomin. =        0.6724526E+02

  global error =        0.1675407E-03 iter. number =   800 denomin. =        0.6702700E+02

  global error =        0.1009575E-03 iter. number =   900 denomin. =        0.6660914E+02

  convergence  for freq. #    47 achieved in   904 inner iterations 
 relative error value =       0.99728461E-04


  frequency number    46 frequency :       0.34125000E+00
 jw  real sour, imag sour =     46     -0.53521E+00     -0.65216E+00

  global error =        0.1034814E-01 iter. number =   100 denomin. =        0.6252609E+02

  global error =        0.7346346E-02 iter. number =   200 denomin. =        0.5319817E+02

  global error =        0.3480812E-02 iter. number =   300 denomin. =        0.5395173E+02

  global error =        0.1476899E-02 iter. number =   400 denomin. =        0.6199460E+02

  global error =        0.9472175E-03 iter. number =   500 denomin. =        0.6595650E+02

  global error =        0.4794516E-03 iter. number =   600 denomin. =        0.6602634E+02

  global error =        0.3081059E-03 iter. number =   700 denomin. =        0.6487603E+02

  global error =        0.1846842E-03 iter. number =   800 denomin. =        0.6413705E+02

  global error =        0.1227571E-03 iter. number =   900 denomin. =        0.6381390E+02

  convergence  for freq. #    46 achieved in   958 inner iterations 
 relative error value =       0.99767665E-04


  frequency number    45 frequency :       0.33375000E+00
 jw  real sour, imag sour =     45     -0.47399E+00     -0.68828E+00

  global error =        0.1044884E-01 iter. number =   100 denomin. =        0.6761362E+02

  global error =        0.7883073E-02 iter. number =   200 denomin. =        0.6780362E+02

  global error =        0.4559652E-02 iter. number =   300 denomin. =        0.5913506E+02

  global error =        0.2246283E-02 iter. number =   400 denomin. =        0.4525229E+02

  global error =        0.1215432E-02 iter. number =   500 denomin. =        0.4169138E+02

  global error =        0.6761915E-03 iter. number =   600 denomin. =        0.4285053E+02

  global error =        0.4382472E-03 iter. number =   700 denomin. =        0.4243792E+02

  global error =        0.2839550E-03 iter. number =   800 denomin. =        0.4147798E+02

  global error =        0.1565576E-03 iter. number =   900 denomin. =        0.4135747E+02

  convergence  for freq. #    45 achieved in   992 inner iterations 
 relative error value =       0.99895719E-04


  frequency number    44 frequency :       0.32625000E+00
 jw  real sour, imag sour =     44     -0.41023E+00     -0.71827E+00

  global error =        0.7990323E-02 iter. number =   100 denomin. =        0.4064256E+02

  global error =        0.4793699E-02 iter. number =   200 denomin. =        0.4166599E+02

  global error =        0.2334578E-02 iter. number =   300 denomin. =        0.4585848E+02

  global error =        0.9716779E-03 iter. number =   400 denomin. =        0.5027040E+02

  global error =        0.7301387E-03 iter. number =   500 denomin. =        0.5437305E+02

  global error =        0.3894741E-03 iter. number =   600 denomin. =        0.5676929E+02

  global error =        0.2594196E-03 iter. number =   700 denomin. =        0.5812914E+02

  global error =        0.1498335E-03 iter. number =   800 denomin. =        0.5896255E+02

  global error =        0.1035562E-03 iter. number =   900 denomin. =        0.5946926E+02

  convergence  for freq. #    44 achieved in   911 inner iterations 
 relative error value =       0.99827623E-04


  frequency number    43 frequency :       0.31875000E+00
 jw  real sour, imag sour =     43     -0.34457E+00     -0.74195E+00

  global error =        0.1025686E-01 iter. number =   100 denomin. =        0.5674787E+02

  global error =        0.8150693E-02 iter. number =   200 denomin. =        0.4434832E+02

  global error =        0.4991392E-02 iter. number =   300 denomin. =        0.3358755E+02

  global error =        0.2896878E-02 iter. number =   400 denomin. =        0.3567084E+02

  global error =        0.1619450E-02 iter. number =   500 denomin. =        0.4099930E+02

  global error =        0.9374816E-03 iter. number =   600 denomin. =        0.4208982E+02

  global error =        0.5582979E-03 iter. number =   700 denomin. =        0.4139344E+02

  global error =        0.3418000E-03 iter. number =   800 denomin. =        0.4166704E+02

  global error =        0.2182759E-03 iter. number =   900 denomin. =        0.4234357E+02

  global error =        0.1316876E-03 iter. number =  1000 denomin. =        0.4248928E+02

  convergence  for freq. #    43 achieved in  1051 inner iterations 
 relative error value =       0.99998532E-04


  frequency number    42 frequency :       0.31125000E+00
 jw  real sour, imag sour =     42     -0.27766E+00     -0.75918E+00

  global error =        0.9807782E-02 iter. number =   100 denomin. =        0.4474823E+02

  global error =        0.6839791E-02 iter. number =   200 denomin. =        0.4063406E+02

  global error =        0.4593535E-02 iter. number =   300 denomin. =        0.2823146E+02

  global error =        0.3430681E-02 iter. number =   400 denomin. =        0.2050713E+02

  global error =        0.1957379E-02 iter. number =   500 denomin. =        0.2271122E+02

  global error =        0.1284654E-02 iter. number =   600 denomin. =        0.2556640E+02

  global error =        0.7638886E-03 iter. number =   700 denomin. =        0.2514927E+02

  global error =        0.5048776E-03 iter. number =   800 denomin. =        0.2379995E+02

  global error =        0.3247199E-03 iter. number =   900 denomin. =        0.2360822E+02

  global error =        0.2045019E-03 iter. number =  1000 denomin. =        0.2407440E+02

  global error =        0.1326879E-03 iter. number =  1100 denomin. =        0.2426814E+02

  convergence  for freq. #    42 achieved in  1157 inner iterations 
 relative error value =       0.99578183E-04


  frequency number    41 frequency :       0.30375000E+00
 jw  real sour, imag sour =     41     -0.21017E+00     -0.76993E+00

  global error =        0.7728412E-02 iter. number =   100 denomin. =        0.2634684E+02

  global error =        0.3827460E-02 iter. number =   200 denomin. =        0.3387087E+02

  global error =        0.2338461E-02 iter. number =   300 denomin. =        0.4359630E+02

  global error =        0.1055438E-02 iter. number =   400 denomin. =        0.5030023E+02

  global error =        0.6741646E-03 iter. number =   500 denomin. =        0.5418108E+02

  global error =        0.3412936E-03 iter. number =   600 denomin. =        0.5678166E+02

  global error =        0.2232694E-03 iter. number =   700 denomin. =        0.5811314E+02

  global error =        0.1457364E-03 iter. number =   800 denomin. =        0.5910048E+02

  convergence  for freq. #    41 achieved in   851 inner iterations 
 relative error value =       0.99447688E-04


  frequency number    40 frequency :       0.29625000E+00
 jw  real sour, imag sour =     40     -0.14274E+00     -0.77421E+00

  global error =        0.1063085E-01 iter. number =   100 denomin. =        0.5596528E+02

  global error =        0.7877465E-02 iter. number =   200 denomin. =        0.4395098E+02

  global error =        0.4043725E-02 iter. number =   300 denomin. =        0.3758868E+02

  global error =        0.2055935E-02 iter. number =   400 denomin. =        0.4412473E+02

  global error =        0.8713067E-03 iter. number =   500 denomin. =        0.4892632E+02

  global error =        0.4117215E-03 iter. number =   600 denomin. =        0.4948646E+02

  global error =        0.1870882E-03 iter. number =   700 denomin. =        0.4985970E+02

  global error =        0.1277185E-03 iter. number =   800 denomin. =        0.4995940E+02

  convergence  for freq. #    40 achieved in   859 inner iterations 
 relative error value =       0.99904926E-04


  frequency number    39 frequency :       0.28875000E+00
 jw  real sour, imag sour =     39     -0.76048E-01     -0.77212E+00

  global error =        0.9679303E-02 iter. number =   100 denomin. =        0.5367350E+02

  global error =        0.6965713E-02 iter. number =   200 denomin. =        0.5520832E+02

  global error =        0.4443474E-02 iter. number =   300 denomin. =        0.5322890E+02

  global error =        0.2068540E-02 iter. number =   400 denomin. =        0.4617041E+02

  global error =        0.1399522E-02 iter. number =   500 denomin. =        0.4209465E+02

  global error =        0.6641683E-03 iter. number =   600 denomin. =        0.4204394E+02

  global error =        0.4390024E-03 iter. number =   700 denomin. =        0.4322392E+02

  global error =        0.2837581E-03 iter. number =   800 denomin. =        0.4347295E+02

  global error =        0.1616250E-03 iter. number =   900 denomin. =        0.4311434E+02

  global error =        0.1020933E-03 iter. number =  1000 denomin. =        0.4294092E+02

  convergence  for freq. #    39 achieved in  1004 inner iterations 
 relative error value =       0.99861952E-04


  frequency number    38 frequency :       0.28125000E+00
 jw  real sour, imag sour =     38     -0.10713E-01     -0.76381E+00

  global error =        0.8300767E-02 iter. number =   100 denomin. =        0.4379658E+02

  global error =        0.5435943E-02 iter. number =   200 denomin. =        0.4394688E+02

  global error =        0.2980157E-02 iter. number =   300 denomin. =        0.4696713E+02

  global error =        0.1095785E-02 iter. number =   400 denomin. =        0.4995564E+02

  global error =        0.6269171E-03 iter. number =   500 denomin. =        0.5438439E+02

  global error =        0.4685282E-03 iter. number =   600 denomin. =        0.5843234E+02

  global error =        0.2980019E-03 iter. number =   700 denomin. =        0.6134616E+02

  global error =        0.1917820E-03 iter. number =   800 denomin. =        0.6316811E+02

  global error =        0.1126981E-03 iter. number =   900 denomin. =        0.6432004E+02

  convergence  for freq. #    38 achieved in   925 inner iterations 
 relative error value =       0.99793326E-04


  frequency number    37 frequency :       0.27375000E+00
 jw  real sour, imag sour =     37      0.52644E-01     -0.74950E+00

  global error =        0.1069561E-01 iter. number =   100 denomin. =        0.6135252E+02

  global error =        0.9136101E-02 iter. number =   200 denomin. =        0.4169485E+02

  global error =        0.5447980E-02 iter. number =   300 denomin. =        0.2423257E+02

  global error =        0.2843650E-02 iter. number =   400 denomin. =        0.2275456E+02

  global error =        0.1510970E-02 iter. number =   500 denomin. =        0.2720136E+02

  global error =        0.8350404E-03 iter. number =   600 denomin. =        0.2980079E+02

  global error =        0.5040405E-03 iter. number =   700 denomin. =        0.2988993E+02

  global error =        0.2861682E-03 iter. number =   800 denomin. =        0.2932694E+02

  global error =        0.1963162E-03 iter. number =   900 denomin. =        0.2925851E+02

  convergence  for freq. #    37 achieved in   981 inner iterations 
 relative error value =       0.99387329E-04


  frequency number    36 frequency :       0.26625000E+00
 jw  real sour, imag sour =     36      0.11344E+00     -0.72948E+00

  global error =        0.1001670E-01 iter. number =   100 denomin. =        0.3273339E+02

  global error =        0.7154764E-02 iter. number =   200 denomin. =        0.3568357E+02

  global error =        0.4469236E-02 iter. number =   300 denomin. =        0.3025813E+02

  global error =        0.3443558E-02 iter. number =   400 denomin. =        0.2020826E+02

  global error =        0.2718057E-02 iter. number =   500 denomin. =        0.1617082E+02

  global error =        0.1727183E-02 iter. number =   600 denomin. =        0.1747254E+02

  global error =        0.1107392E-02 iter. number =   700 denomin. =        0.1980015E+02

  global error =        0.6939585E-03 iter. number =   800 denomin. =        0.2037756E+02

  global error =        0.4971903E-03 iter. number =   900 denomin. =        0.1959629E+02

  global error =        0.3380282E-03 iter. number =  1000 denomin. =        0.1886422E+02

  global error =        0.2282651E-03 iter. number =  1100 denomin. =        0.1873948E+02

  global error =        0.1534382E-03 iter. number =  1200 denomin. =        0.1898059E+02

  global error =        0.1017717E-03 iter. number =  1300 denomin. =        0.1918022E+02

  convergence  for freq. #    36 achieved in  1305 inner iterations 
 relative error value =       0.99784444E-04


  frequency number    35 frequency :       0.25875000E+00
 jw  real sour, imag sour =     35      0.17113E+00     -0.70410E+00

  global error =        0.8443422E-02 iter. number =   100 denomin. =        0.2099374E+02

  global error =        0.4702169E-02 iter. number =   200 denomin. =        0.2681943E+02

  global error =        0.2332899E-02 iter. number =   300 denomin. =        0.3104777E+02

  global error =        0.1255263E-02 iter. number =   400 denomin. =        0.3119812E+02

  global error =        0.8247945E-03 iter. number =   500 denomin. =        0.2956535E+02

  global error =        0.3739095E-03 iter. number =   600 denomin. =        0.2863367E+02

  global error =        0.2570854E-03 iter. number =   700 denomin. =        0.2834074E+02

  global error =        0.1755866E-03 iter. number =   800 denomin. =        0.2843607E+02

  convergence  for freq. #    35 achieved in   885 inner iterations 
 relative error value =       0.99637981E-04


  frequency number    34 frequency :       0.25125000E+00
 jw  real sour, imag sour =     34      0.22521E+00     -0.67377E+00

  global error =        0.9655922E-02 iter. number =   100 denomin. =        0.2795205E+02

  global error =        0.5697802E-02 iter. number =   200 denomin. =        0.2603150E+02

  global error =        0.3163670E-02 iter. number =   300 denomin. =        0.2842897E+02

  global error =        0.2084041E-02 iter. number =   400 denomin. =        0.3370136E+02

  global error =        0.1049214E-02 iter. number =   500 denomin. =        0.3459806E+02

  global error =        0.8372387E-03 iter. number =   600 denomin. =        0.3510048E+02

  global error =        0.4701461E-03 iter. number =   700 denomin. =        0.3631029E+02

  global error =        0.3011357E-03 iter. number =   800 denomin. =        0.3612901E+02

  global error =        0.2121030E-03 iter. number =   900 denomin. =        0.3619650E+02

  global error =        0.1250198E-03 iter. number =  1000 denomin. =        0.3635044E+02

  convergence  for freq. #    34 achieved in  1078 inner iterations 
 relative error value =       0.99842667E-04


  frequency number    33 frequency :       0.24375000E+00
 jw  real sour, imag sour =     33      0.27521E+00     -0.63892E+00

  global error =        0.9812850E-02 iter. number =   100 denomin. =        0.3913657E+02

  global error =        0.6826884E-02 iter. number =   200 denomin. =        0.3904995E+02

  global error =        0.3876616E-02 iter. number =   300 denomin. =        0.3503029E+02

  global error =        0.1740487E-02 iter. number =   400 denomin. =        0.3113340E+02

  global error =        0.1042111E-02 iter. number =   500 denomin. =        0.3054452E+02

  global error =        0.5065021E-03 iter. number =   600 denomin. =        0.3136034E+02

  global error =        0.3904424E-03 iter. number =   700 denomin. =        0.3224350E+02

  global error =        0.1965081E-03 iter. number =   800 denomin. =        0.3271021E+02

  global error =        0.1254825E-03 iter. number =   900 denomin. =        0.3265784E+02

  convergence  for freq. #    33 achieved in   965 inner iterations 
 relative error value =       0.99535984E-04


  frequency number    32 frequency :       0.23625000E+00
 jw  real sour, imag sour =     32      0.32074E+00     -0.60007E+00

  global error =        0.8327782E-02 iter. number =   100 denomin. =        0.3386259E+02

  global error =        0.5341545E-02 iter. number =   200 denomin. =        0.3382167E+02

  global error =        0.3753724E-02 iter. number =   300 denomin. =        0.3638384E+02

  global error =        0.1501833E-02 iter. number =   400 denomin. =        0.3673556E+02

  global error =        0.8595255E-03 iter. number =   500 denomin. =        0.3840323E+02

  global error =        0.4149292E-03 iter. number =   600 denomin. =        0.3970256E+02

  global error =        0.2672497E-03 iter. number =   700 denomin. =        0.4139145E+02

  global error =        0.2122878E-03 iter. number =   800 denomin. =        0.4259596E+02

  global error =        0.1283233E-03 iter. number =   900 denomin. =        0.4347474E+02

  convergence  for freq. #    32 achieved in   928 inner iterations 
 relative error value =       0.99769913E-04


  frequency number    31 frequency :       0.22875000E+00
 jw  real sour, imag sour =     31      0.36145E+00     -0.55773E+00

  global error =        0.1066692E-01 iter. number =   100 denomin. =        0.4207780E+02

  global error =        0.8369113E-02 iter. number =   200 denomin. =        0.3140877E+02

  global error =        0.4289067E-02 iter. number =   300 denomin. =        0.2380806E+02

  global error =        0.1998830E-02 iter. number =   400 denomin. =        0.2262398E+02

  global error =        0.1128657E-02 iter. number =   500 denomin. =        0.2532231E+02

  global error =        0.7899106E-03 iter. number =   600 denomin. =        0.2819607E+02

  global error =        0.5284670E-03 iter. number =   700 denomin. =        0.2981075E+02

  global error =        0.2597284E-03 iter. number =   800 denomin. =        0.3019822E+02

  global error =        0.1988456E-03 iter. number =   900 denomin. =        0.2996284E+02

  global error =        0.1450173E-03 iter. number =  1000 denomin. =        0.2966736E+02

  convergence  for freq. #    31 achieved in  1080 inner iterations 
 relative error value =       0.99827900E-04


  frequency number    30 frequency :       0.22125000E+00
 jw  real sour, imag sour =     30      0.39707E+00     -0.51249E+00

  global error =        0.1096157E-01 iter. number =   100 denomin. =        0.3196688E+02

  global error =        0.8621733E-02 iter. number =   200 denomin. =        0.3069843E+02

  global error =        0.5682194E-02 iter. number =   300 denomin. =        0.2320756E+02

  global error =        0.4649591E-02 iter. number =   400 denomin. =        0.1325149E+02

  global error =        0.3460394E-02 iter. number =   500 denomin. =        0.9821544E+01

  global error =        0.2357308E-02 iter. number =   600 denomin. =        0.1098308E+02

  global error =        0.1409212E-02 iter. number =   700 denomin. =        0.1280584E+02

  global error =        0.9606480E-03 iter. number =   800 denomin. =        0.1306605E+02

  global error =        0.6366501E-03 iter. number =   900 denomin. =        0.1230861E+02

  global error =        0.4313175E-03 iter. number =  1000 denomin. =        0.1175911E+02

  global error =        0.2982421E-03 iter. number =  1100 denomin. =        0.1175822E+02

  global error =        0.1960079E-03 iter. number =  1200 denomin. =        0.1200100E+02

  global error =        0.1308765E-03 iter. number =  1300 denomin. =        0.1213715E+02

  convergence  for freq. #    30 achieved in  1366 inner iterations 
 relative error value =       0.99699626E-04


  frequency number    29 frequency :       0.21375000E+00
 jw  real sour, imag sour =     29      0.42736E+00     -0.46493E+00

  global error =        0.8721163E-02 iter. number =   100 denomin. =        0.1303585E+02

  global error =        0.5104702E-02 iter. number =   200 denomin. =        0.1768714E+02

  global error =        0.2678538E-02 iter. number =   300 denomin. =        0.2172980E+02

  global error =        0.1627657E-02 iter. number =   400 denomin. =        0.2247234E+02

  global error =        0.1204651E-02 iter. number =   500 denomin. =        0.2121937E+02

  global error =        0.6462420E-03 iter. number =   600 denomin. =        0.1955169E+02

  global error =        0.5282345E-03 iter. number =   700 denomin. =        0.1815147E+02

  global error =        0.3557268E-03 iter. number =   800 denomin. =        0.1723310E+02

  global error =        0.2186234E-03 iter. number =   900 denomin. =        0.1684010E+02

  global error =        0.1523982E-03 iter. number =  1000 denomin. =        0.1679785E+02

  global error =        0.1073610E-03 iter. number =  1100 denomin. =        0.1690818E+02

  convergence  for freq. #    29 achieved in  1116 inner iterations 
 relative error value =       0.99696203E-04


  frequency number    28 frequency :       0.20625000E+00
 jw  real sour, imag sour =     28      0.45219E+00     -0.41565E+00

  global error =        0.9580086E-02 iter. number =   100 denomin. =        0.1709407E+02

  global error =        0.6123124E-02 iter. number =   200 denomin. =        0.1809312E+02

  global error =        0.3491305E-02 iter. number =   300 denomin. =        0.2057185E+02

  global error =        0.2223689E-02 iter. number =   400 denomin. =        0.2196981E+02

  global error =        0.1466098E-02 iter. number =   500 denomin. =        0.2097750E+02

  global error =        0.1087607E-02 iter. number =   600 denomin. =        0.2007240E+02

  global error =        0.6816561E-03 iter. number =   700 denomin. =        0.1981359E+02

  global error =        0.4866332E-03 iter. number =   800 denomin. =        0.1937902E+02

  global error =        0.3466813E-03 iter. number =   900 denomin. =        0.1923183E+02

  global error =        0.2361350E-03 iter. number =  1000 denomin. =        0.1930298E+02

  global error =        0.1632981E-03 iter. number =  1100 denomin. =        0.1927244E+02

  global error =        0.1110260E-03 iter. number =  1200 denomin. =        0.1928768E+02

  convergence  for freq. #    28 achieved in  1231 inner iterations 
 relative error value =       0.99866575E-04


  frequency number    27 frequency :       0.19875000E+00
 jw  real sour, imag sour =     27      0.47146E+00     -0.36528E+00

  global error =        0.1000678E-01 iter. number =   100 denomin. =        0.1955548E+02

  global error =        0.6196380E-02 iter. number =   200 denomin. =        0.1755021E+02

  global error =        0.3620927E-02 iter. number =   300 denomin. =        0.1634879E+02

  global error =        0.2297310E-02 iter. number =   400 denomin. =        0.1884740E+02

  global error =        0.1338566E-02 iter. number =   500 denomin. =        0.1937914E+02

  global error =        0.9547956E-03 iter. number =   600 denomin. =        0.1837555E+02

  global error =        0.6511344E-03 iter. number =   700 denomin. =        0.1880619E+02

  global error =        0.3698030E-03 iter. number =   800 denomin. =        0.1911050E+02

  global error =        0.2716878E-03 iter. number =   900 denomin. =        0.1876359E+02

  global error =        0.1770362E-03 iter. number =  1000 denomin. =        0.1878368E+02

  global error =        0.1130144E-03 iter. number =  1100 denomin. =        0.1891499E+02

  convergence  for freq. #    27 achieved in  1126 inner iterations 
 relative error value =       0.99605049E-04


  frequency number    26 frequency :       0.19125000E+00
 jw  real sour, imag sour =     26      0.48516E+00     -0.31442E+00

  global error =        0.8501046E-02 iter. number =   100 denomin. =        0.2104701E+02

  global error =        0.5510505E-02 iter. number =   200 denomin. =        0.2317362E+02

  global error =        0.3516140E-02 iter. number =   300 denomin. =        0.2488805E+02

  global error =        0.1490464E-02 iter. number =   400 denomin. =        0.2444261E+02

  global error =        0.1034795E-02 iter. number =   500 denomin. =        0.2439738E+02

  global error =        0.4650189E-03 iter. number =   600 denomin. =        0.2410551E+02

  global error =        0.3791969E-03 iter. number =   700 denomin. =        0.2432276E+02

  global error =        0.2501867E-03 iter. number =   800 denomin. =        0.2466863E+02

  global error =        0.1606591E-03 iter. number =   900 denomin. =        0.2496911E+02

  global error =        0.1000740E-03 iter. number =  1000 denomin. =        0.2513369E+02

  convergence  for freq. #    26 achieved in  1001 inner iterations 
 relative error value =       0.99076306E-04


  frequency number    25 frequency :       0.18375000E+00
 jw  real sour, imag sour =     25      0.49336E+00     -0.26371E+00

  global error =        0.1065411E-01 iter. number =   100 denomin. =        0.2371070E+02

  global error =        0.7395616E-02 iter. number =   200 denomin. =        0.1845740E+02

  global error =        0.3997166E-02 iter. number =   300 denomin. =        0.1722230E+02

  global error =        0.2167181E-02 iter. number =   400 denomin. =        0.1751504E+02

  global error =        0.1150881E-02 iter. number =   500 denomin. =        0.1805800E+02

  global error =        0.7510451E-03 iter. number =   600 denomin. =        0.1933611E+02

  global error =        0.5487588E-03 iter. number =   700 denomin. =        0.2036360E+02

  global error =        0.3778201E-03 iter. number =   800 denomin. =        0.2119266E+02

  global error =        0.2384604E-03 iter. number =   900 denomin. =        0.2155671E+02

  global error =        0.1566571E-03 iter. number =  1000 denomin. =        0.2165864E+02

  global error =        0.1127897E-03 iter. number =  1100 denomin. =        0.2157681E+02

  convergence  for freq. #    25 achieved in  1146 inner iterations 
 relative error value =       0.99776344E-04


  frequency number    24 frequency :       0.17625000E+00
 jw  real sour, imag sour =     24      0.49617E+00     -0.21372E+00

  global error =        0.1140256E-01 iter. number =   100 denomin. =        0.2224817E+02

  global error =        0.9297320E-02 iter. number =   200 denomin. =        0.1838751E+02

  global error =        0.6069256E-02 iter. number =   300 denomin. =        0.1371417E+02

  global error =        0.4433233E-02 iter. number =   400 denomin. =        0.9054551E+01

  global error =        0.2933961E-02 iter. number =   500 denomin. =        0.7505116E+01

  global error =        0.1765844E-02 iter. number =   600 denomin. =        0.8065415E+01

  global error =        0.1045188E-02 iter. number =   700 denomin. =        0.8416645E+01

  global error =        0.8704620E-03 iter. number =   800 denomin. =        0.8249698E+01

  global error =        0.4898813E-03 iter. number =   900 denomin. =        0.8011700E+01

  global error =        0.3165061E-03 iter. number =  1000 denomin. =        0.7990220E+01

  global error =        0.2329305E-03 iter. number =  1100 denomin. =        0.8112840E+01

  global error =        0.1452671E-03 iter. number =  1200 denomin. =        0.8189605E+01

  convergence  for freq. #    24 achieved in  1253 inner iterations 
 relative error value =       0.99903768E-04


  frequency number    23 frequency :       0.16875000E+00
 jw  real sour, imag sour =     23      0.49378E+00     -0.16505E+00

  global error =        0.9716305E-02 iter. number =   100 denomin. =        0.9120493E+01

  global error =        0.6386100E-02 iter. number =   200 denomin. =        0.1226739E+02

  global error =        0.3539013E-02 iter. number =   300 denomin. =        0.1448139E+02

  global error =        0.2545619E-02 iter. number =   400 denomin. =        0.1406214E+02

  global error =        0.2110906E-02 iter. number =   500 denomin. =        0.1224331E+02

  global error =        0.1530768E-02 iter. number =   600 denomin. =        0.9884102E+01

  global error =        0.1270561E-02 iter. number =   700 denomin. =        0.8219328E+01

  global error =        0.9640738E-03 iter. number =   800 denomin. =        0.7448330E+01

  global error =        0.7083027E-03 iter. number =   900 denomin. =        0.7393905E+01

  global error =        0.5014515E-03 iter. number =  1000 denomin. =        0.7728648E+01

  global error =        0.3633653E-03 iter. number =  1100 denomin. =        0.8131581E+01

  global error =        0.2702564E-03 iter. number =  1200 denomin. =        0.8419412E+01

  global error =        0.1962801E-03 iter. number =  1300 denomin. =        0.8536355E+01

  global error =        0.1451053E-03 iter. number =  1400 denomin. =        0.8513272E+01

  global error =        0.1076446E-03 iter. number =  1500 denomin. =        0.8420799E+01

  convergence  for freq. #    23 achieved in  1529 inner iterations 
 relative error value =       0.99918741E-04


  frequency number    22 frequency :       0.16125000E+00
 jw  real sour, imag sour =     22      0.48644E+00     -0.11823E+00

  global error =        0.9846445E-02 iter. number =   100 denomin. =        0.7981213E+01

  global error =        0.6411186E-02 iter. number =   200 denomin. =        0.9038163E+01

  global error =        0.3728838E-02 iter. number =   300 denomin. =        0.1108685E+02

  global error =        0.2263081E-02 iter. number =   400 denomin. =        0.1168034E+02

  global error =        0.1807586E-02 iter. number =   500 denomin. =        0.1137528E+02

  global error =        0.9211161E-03 iter. number =   600 denomin. =        0.1099867E+02

  global error =        0.7028309E-03 iter. number =   700 denomin. =        0.1045348E+02

  global error =        0.5614348E-03 iter. number =   800 denomin. =        0.1006703E+02

  global error =        0.3576749E-03 iter. number =   900 denomin. =        0.9788113E+01

  global error =        0.2135114E-03 iter. number =  1000 denomin. =        0.9589686E+01

  global error =        0.1678664E-03 iter. number =  1100 denomin. =        0.9503984E+01

  global error =        0.1204573E-03 iter. number =  1200 denomin. =        0.9469198E+01

  convergence  for freq. #    22 achieved in  1239 inner iterations 
 relative error value =       0.99903114E-04


  frequency number    21 frequency :       0.15375000E+00
 jw  real sour, imag sour =     21      0.47447E+00     -0.73784E-01

  global error =        0.9904412E-02 iter. number =   100 denomin. =        0.9526450E+01

  global error =        0.6840973E-02 iter. number =   200 denomin. =        0.9172139E+01

  global error =        0.4504371E-02 iter. number =   300 denomin. =        0.9798588E+01

  global error =        0.2871337E-02 iter. number =   400 denomin. =        0.1161993E+02

  global error =        0.1907256E-02 iter. number =   500 denomin. =        0.1146628E+02

  global error =        0.1512442E-02 iter. number =   600 denomin. =        0.1073821E+02

  global error =        0.1000006E-02 iter. number =   700 denomin. =        0.1096182E+02

  global error =        0.7131760E-03 iter. number =   800 denomin. =        0.1092611E+02

  global error =        0.5354228E-03 iter. number =   900 denomin. =        0.1060968E+02

  global error =        0.3766737E-03 iter. number =  1000 denomin. =        0.1064504E+02

  global error =        0.2782794E-03 iter. number =  1100 denomin. =        0.1069953E+02

  global error =        0.1953430E-03 iter. number =  1200 denomin. =        0.1061575E+02

  global error =        0.1431646E-03 iter. number =  1300 denomin. =        0.1061777E+02

  global error =        0.1020399E-03 iter. number =  1400 denomin. =        0.1065620E+02

  convergence  for freq. #    21 achieved in  1407 inner iterations 
 relative error value =       0.99957727E-04


  frequency number    20 frequency :       0.14625000E+00
 jw  real sour, imag sour =     20      0.45821E+00     -0.32185E-01

  global error =        0.9743182E-02 iter. number =   100 denomin. =        0.1163654E+02

  global error =        0.6106674E-02 iter. number =   200 denomin. =        0.1152872E+02

  global error =        0.3399617E-02 iter. number =   300 denomin. =        0.1022974E+02

  global error =        0.2035885E-02 iter. number =   400 denomin. =        0.9827925E+01

  global error =        0.1267590E-02 iter. number =   500 denomin. =        0.1064578E+02

  global error =        0.6555914E-03 iter. number =   600 denomin. =        0.1082822E+02

  global error =        0.4787574E-03 iter. number =   700 denomin. =        0.1048082E+02

  global error =        0.3167520E-03 iter. number =   800 denomin. =        0.1038503E+02

  global error =        0.1860734E-03 iter. number =   900 denomin. =        0.1052614E+02

  global error =        0.1117123E-03 iter. number =  1000 denomin. =        0.1054975E+02

  convergence  for freq. #    20 achieved in  1052 inner iterations 
 relative error value =       0.99892934E-04


  frequency number    19 frequency :       0.13875000E+00
 jw  real sour, imag sour =     19      0.43809E+00      0.61446E-02

  global error =        0.9452645E-02 iter. number =   100 denomin. =        0.1062958E+02

  global error =        0.5613815E-02 iter. number =   200 denomin. =        0.9757821E+01

  global error =        0.4175192E-02 iter. number =   300 denomin. =        0.1053633E+02

  global error =        0.1998949E-02 iter. number =   400 denomin. =        0.1057585E+02

  global error =        0.1182302E-02 iter. number =   500 denomin. =        0.1090684E+02

  global error =        0.8343426E-03 iter. number =   600 denomin. =        0.1114076E+02

  global error =        0.5578884E-03 iter. number =   700 denomin. =        0.1141584E+02

  global error =        0.3736097E-03 iter. number =   800 denomin. =        0.1168425E+02

  global error =        0.2668341E-03 iter. number =   900 denomin. =        0.1182621E+02

  global error =        0.1571196E-03 iter. number =  1000 denomin. =        0.1187268E+02

  global error =        0.1224884E-03 iter. number =  1100 denomin. =        0.1186023E+02

  convergence  for freq. #    19 achieved in  1124 inner iterations 
 relative error value =       0.99936707E-04


  frequency number    18 frequency :       0.13125000E+00
 jw  real sour, imag sour =     18      0.41457E+00      0.40831E-01

  global error =        0.1143743E-01 iter. number =   100 denomin. =        0.1169689E+02

  global error =        0.8897437E-02 iter. number =   200 denomin. =        0.9010375E+01

  global error =        0.4742457E-02 iter. number =   300 denomin. =        0.6996375E+01

  global error =        0.3177843E-02 iter. number =   400 denomin. =        0.6000259E+01

  global error =        0.1867203E-02 iter. number =   500 denomin. =        0.5405545E+01

  global error =        0.1259038E-02 iter. number =   600 denomin. =        0.5526502E+01

  global error =        0.9628533E-03 iter. number =   700 denomin. =        0.5576540E+01

  global error =        0.4932621E-03 iter. number =   800 denomin. =        0.5512472E+01

  global error =        0.4299848E-03 iter. number =   900 denomin. =        0.5305077E+01

  global error =        0.3055902E-03 iter. number =  1000 denomin. =        0.5151006E+01

  global error =        0.1931104E-03 iter. number =  1100 denomin. =        0.5108467E+01

  global error =        0.1423489E-03 iter. number =  1200 denomin. =        0.5165109E+01

  global error =        0.1172066E-03 iter. number =  1300 denomin. =        0.5244270E+01

  convergence  for freq. #    18 achieved in  1366 inner iterations 
 relative error value =       0.99817616E-04


  frequency number    17 frequency :       0.12375000E+00
 jw  real sour, imag sour =     17      0.38812E+00      0.71559E-01

  global error =        0.1074837E-01 iter. number =   100 denomin. =        0.5788613E+01

  global error =        0.7987286E-02 iter. number =   200 denomin. =        0.6612846E+01

  global error =        0.4704743E-02 iter. number =   300 denomin. =        0.6751812E+01

  global error =        0.3285463E-02 iter. number =   400 denomin. =        0.5501496E+01

  global error =        0.2768161E-02 iter. number =   500 denomin. =        0.3880887E+01

  global error =        0.2673528E-02 iter. number =   600 denomin. =        0.2952316E+01

  global error =        0.1639377E-02 iter. number =   700 denomin. =        0.2826653E+01

  global error =        0.1122005E-02 iter. number =   800 denomin. =        0.3166656E+01

  global error =        0.8283323E-03 iter. number =   900 denomin. =        0.3497693E+01

  global error =        0.5518605E-03 iter. number =  1000 denomin. =        0.3621631E+01

  global error =        0.3982612E-03 iter. number =  1100 denomin. =        0.3550705E+01

  global error =        0.3133771E-03 iter. number =  1200 denomin. =        0.3409724E+01

  global error =        0.2317412E-03 iter. number =  1300 denomin. =        0.3321552E+01

  global error =        0.1502455E-03 iter. number =  1400 denomin. =        0.3316267E+01

  global error =        0.1190566E-03 iter. number =  1500 denomin. =        0.3356799E+01

  convergence  for freq. #    17 achieved in  1560 inner iterations 
 relative error value =       0.99824084E-04


  frequency number    16 frequency :       0.11625000E+00
 jw  real sour, imag sour =     16      0.35928E+00      0.98072E-01

  global error =        0.9727423E-02 iter. number =   100 denomin. =        0.3581506E+01

  global error =        0.6096973E-02 iter. number =   200 denomin. =        0.4651264E+01

  global error =        0.3524425E-02 iter. number =   300 denomin. =        0.5732517E+01

  global error =        0.2468392E-02 iter. number =   400 denomin. =        0.5899633E+01

  global error =        0.2076337E-02 iter. number =   500 denomin. =        0.5605390E+01

  global error =        0.1316487E-02 iter. number =   600 denomin. =        0.4881538E+01

  global error =        0.1130550E-02 iter. number =   700 denomin. =        0.4197007E+01

  global error =        0.9452871E-03 iter. number =   800 denomin. =        0.3705308E+01

  global error =        0.7469163E-03 iter. number =   900 denomin. =        0.3384748E+01

  global error =        0.5473430E-03 iter. number =  1000 denomin. =        0.3278787E+01

  global error =        0.4407120E-03 iter. number =  1100 denomin. =        0.3320953E+01

  global error =        0.3403386E-03 iter. number =  1200 denomin. =        0.3432121E+01

  global error =        0.2466242E-03 iter. number =  1300 denomin. =        0.3560095E+01

  global error =        0.1855272E-03 iter. number =  1400 denomin. =        0.3652830E+01

  global error =        0.1431596E-03 iter. number =  1500 denomin. =        0.3699600E+01

  global error =        0.1098470E-03 iter. number =  1600 denomin. =        0.3703542E+01

  convergence  for freq. #    16 achieved in  1632 inner iterations 
 relative error value =       0.99820684E-04


  frequency number    15 frequency :       0.10875000E+00
 jw  real sour, imag sour =     15      0.32860E+00      0.12018E+00

  global error =        0.1006961E-01 iter. number =   100 denomin. =        0.3548073E+01

  global error =        0.7283961E-02 iter. number =   200 denomin. =        0.3687040E+01

  global error =        0.4738927E-02 iter. number =   300 denomin. =        0.4577052E+01

  global error =        0.3003405E-02 iter. number =   400 denomin. =        0.5282972E+01

  global error =        0.2147679E-02 iter. number =   500 denomin. =        0.5239595E+01

  global error =        0.1319427E-02 iter. number =   600 denomin. =        0.5355861E+01

  global error =        0.1105045E-02 iter. number =   700 denomin. =        0.5436733E+01

  global error =        0.7864660E-03 iter. number =   800 denomin. =        0.5377167E+01

  global error =        0.5476083E-03 iter. number =   900 denomin. =        0.5375408E+01

  global error =        0.4126733E-03 iter. number =  1000 denomin. =        0.5376796E+01

  global error =        0.3051550E-03 iter. number =  1100 denomin. =        0.5338907E+01

  global error =        0.2116772E-03 iter. number =  1200 denomin. =        0.5328892E+01

  global error =        0.1551861E-03 iter. number =  1300 denomin. =        0.5318356E+01

  global error =        0.1174674E-03 iter. number =  1400 denomin. =        0.5298583E+01

  convergence  for freq. #    15 achieved in  1443 inner iterations 
 relative error value =       0.99801257E-04


  frequency number    14 frequency :       0.10125000E+00
 jw  real sour, imag sour =     14      0.29662E+00      0.13775E+00

  global error =        0.1066401E-01 iter. number =   100 denomin. =        0.5654211E+01

  global error =        0.8107431E-02 iter. number =   200 denomin. =        0.4933449E+01

  global error =        0.5909558E-02 iter. number =   300 denomin. =        0.3994293E+01

  global error =        0.3913854E-02 iter. number =   400 denomin. =        0.4296286E+01

  global error =        0.2607935E-02 iter. number =   500 denomin. =        0.4752952E+01

  global error =        0.2018698E-02 iter. number =   600 denomin. =        0.4382839E+01

  global error =        0.1437462E-02 iter. number =   700 denomin. =        0.4065918E+01

  global error =        0.1032193E-02 iter. number =   800 denomin. =        0.4160053E+01

  global error =        0.7370245E-03 iter. number =   900 denomin. =        0.4184367E+01

  global error =        0.5404350E-03 iter. number =  1000 denomin. =        0.4053088E+01

  global error =        0.3816664E-03 iter. number =  1100 denomin. =        0.4022756E+01

  global error =        0.2804476E-03 iter. number =  1200 denomin. =        0.4075932E+01

  global error =        0.1940720E-03 iter. number =  1300 denomin. =        0.4073800E+01

  global error =        0.1418061E-03 iter. number =  1400 denomin. =        0.4044673E+01

  global error =        0.1025390E-03 iter. number =  1500 denomin. =        0.4051851E+01

  convergence  for freq. #    14 achieved in  1508 inner iterations 
 relative error value =       0.99904452E-04


  frequency number    13 frequency :       0.93750000E-01
 jw  real sour, imag sour =     13      0.26393E+00      0.15074E+00

  global error =        0.9810977E-02 iter. number =   100 denomin. =        0.4368337E+01

  global error =        0.6207243E-02 iter. number =   200 denomin. =        0.4158642E+01

  global error =        0.3779385E-02 iter. number =   300 denomin. =        0.3847310E+01

  global error =        0.2048511E-02 iter. number =   400 denomin. =        0.3981755E+01

  global error =        0.1442971E-02 iter. number =   500 denomin. =        0.4326530E+01

  global error =        0.7242111E-03 iter. number =   600 denomin. =        0.4422712E+01

  global error =        0.4791012E-03 iter. number =   700 denomin. =        0.4379394E+01

  global error =        0.3371562E-03 iter. number =   800 denomin. =        0.4424511E+01

  global error =        0.2139986E-03 iter. number =   900 denomin. =        0.4489956E+01

  global error =        0.1340992E-03 iter. number =  1000 denomin. =        0.4513042E+01

  convergence  for freq. #    13 achieved in  1091 inner iterations 
 relative error value =       0.99599903E-04


  frequency number    12 frequency :       0.86250000E-01
 jw  real sour, imag sour =     12      0.23108E+00      0.15914E+00

  global error =        0.1045428E-01 iter. number =   100 denomin. =        0.4645411E+01

  global error =        0.6868772E-02 iter. number =   200 denomin. =        0.3575186E+01

  global error =        0.4820157E-02 iter. number =   300 denomin. =        0.3238220E+01

  global error =        0.3075676E-02 iter. number =   400 denomin. =        0.2741251E+01

  global error =        0.1704788E-02 iter. number =   500 denomin. =        0.2643889E+01

  global error =        0.1396130E-02 iter. number =   600 denomin. =        0.2706941E+01

  global error =        0.8492095E-03 iter. number =   700 denomin. =        0.2789719E+01

  global error =        0.5476499E-03 iter. number =   800 denomin. =        0.2784776E+01

  global error =        0.3575223E-03 iter. number =   900 denomin. =        0.2740599E+01

  global error =        0.3253286E-03 iter. number =  1000 denomin. =        0.2661686E+01

  global error =        0.1901500E-03 iter. number =  1100 denomin. =        0.2627427E+01

  global error =        0.1634844E-03 iter. number =  1200 denomin. =        0.2612343E+01

  global error =        0.1083017E-03 iter. number =  1300 denomin. =        0.2612490E+01

  convergence  for freq. #    12 achieved in  1356 inner iterations 
 relative error value =       0.99959507E-04


  frequency number    11 frequency :       0.78750000E-01
 jw  real sour, imag sour =     11      0.19865E+00      0.16303E+00

  global error =        0.1186031E-01 iter. number =   100 denomin. =        0.2788319E+01

  global error =        0.8968624E-02 iter. number =   200 denomin. =        0.2706884E+01

  global error =        0.5133533E-02 iter. number =   300 denomin. =        0.2450451E+01

  global error =        0.3612935E-02 iter. number =   400 denomin. =        0.2171027E+01

  global error =        0.2555443E-02 iter. number =   500 denomin. =        0.1766496E+01

  global error =        0.1890240E-02 iter. number =   600 denomin. =        0.1570598E+01

  global error =        0.1485037E-02 iter. number =   700 denomin. =        0.1519585E+01

  global error =        0.7435327E-03 iter. number =   800 denomin. =        0.1548445E+01

  global error =        0.5691869E-03 iter. number =   900 denomin. =        0.1566002E+01

  global error =        0.4866342E-03 iter. number =  1000 denomin. =        0.1562965E+01

  global error =        0.3105305E-03 iter. number =  1100 denomin. =        0.1559577E+01

  global error =        0.2067150E-03 iter. number =  1200 denomin. =        0.1565259E+01

  global error =        0.1626338E-03 iter. number =  1300 denomin. =        0.1577393E+01

  global error =        0.1383304E-03 iter. number =  1400 denomin. =        0.1588132E+01

  convergence  for freq. #    11 achieved in  1486 inner iterations 
 relative error value =       0.99814779E-04


  frequency number    10 frequency :       0.71250000E-01
 jw  real sour, imag sour =     10      0.16717E+00      0.16254E+00

  global error =        0.1169404E-01 iter. number =   100 denomin. =        0.1687209E+01

  global error =        0.8172089E-02 iter. number =   200 denomin. =        0.1815271E+01

  global error =        0.4887308E-02 iter. number =   300 denomin. =        0.1952701E+01

  global error =        0.3456828E-02 iter. number =   400 denomin. =        0.1645050E+01

  global error =        0.3093503E-02 iter. number =   500 denomin. =        0.1228246E+01

  global error =        0.2701693E-02 iter. number =   600 denomin. =        0.9589713E+00

  global error =        0.1842304E-02 iter. number =   700 denomin. =        0.8900564E+00

  global error =        0.1383575E-02 iter. number =   800 denomin. =        0.9680958E+00

  global error =        0.9777542E-03 iter. number =   900 denomin. =        0.1066049E+01

  global error =        0.7043688E-03 iter. number =  1000 denomin. =        0.1112517E+01

  global error =        0.5525684E-03 iter. number =  1100 denomin. =        0.1101396E+01

  global error =        0.4274195E-03 iter. number =  1200 denomin. =        0.1062266E+01

  global error =        0.3219131E-03 iter. number =  1300 denomin. =        0.1030885E+01

  global error =        0.2476865E-03 iter. number =  1400 denomin. =        0.1020875E+01

  global error =        0.1818738E-03 iter. number =  1500 denomin. =        0.1028456E+01

  global error =        0.1352314E-03 iter. number =  1600 denomin. =        0.1042280E+01

  global error =        0.1041089E-03 iter. number =  1700 denomin. =        0.1050785E+01

  convergence  for freq. #    10 achieved in  1711 inner iterations 
 relative error value =       0.99632376E-04


  frequency number     9 frequency :       0.63750000E-01
 jw  real sour, imag sour =      9      0.13717E+00      0.15789E+00

  global error =        0.1131344E-01 iter. number =   100 denomin. =        0.1095349E+01

  global error =        0.6880426E-02 iter. number =   200 denomin. =        0.1363233E+01

  global error =        0.3874134E-02 iter. number =   300 denomin. =        0.1746896E+01

  global error =        0.2481694E-02 iter. number =   400 denomin. =        0.2001818E+01

  global error =        0.1585618E-02 iter. number =   500 denomin. =        0.2140229E+01

  global error =        0.1074860E-02 iter. number =   600 denomin. =        0.2145484E+01

  global error =        0.8075837E-03 iter. number =   700 denomin. =        0.2113723E+01

  global error =        0.6036718E-03 iter. number =   800 denomin. =        0.2025933E+01

  global error =        0.4181017E-03 iter. number =   900 denomin. =        0.1935837E+01

  global error =        0.3662547E-03 iter. number =  1000 denomin. =        0.1849375E+01

  global error =        0.2626746E-03 iter. number =  1100 denomin. =        0.1781050E+01

  global error =        0.2038466E-03 iter. number =  1200 denomin. =        0.1729406E+01

  global error =        0.1465197E-03 iter. number =  1300 denomin. =        0.1698414E+01

  global error =        0.1232713E-03 iter. number =  1400 denomin. =        0.1681620E+01

  convergence  for freq. #     9 achieved in  1445 inner iterations 
 relative error value =       0.99988513E-04


  frequency number     8 frequency :       0.56250000E-01
 jw  real sour, imag sour =      8      0.10914E+00      0.14933E+00

  global error =        0.1231449E-01 iter. number =   100 denomin. =        0.1711621E+01

  global error =        0.1072653E-01 iter. number =   200 denomin. =        0.1360120E+01

  global error =        0.7549741E-02 iter. number =   300 denomin. =        0.1276132E+01

  global error =        0.4616281E-02 iter. number =   400 denomin. =        0.1500720E+01

  global error =        0.3688820E-02 iter. number =   500 denomin. =        0.1438909E+01

  global error =        0.2715761E-02 iter. number =   600 denomin. =        0.1383404E+01

  global error =        0.1857546E-02 iter. number =   700 denomin. =        0.1415576E+01

  global error =        0.1438893E-02 iter. number =   800 denomin. =        0.1396320E+01

  global error =        0.1086085E-02 iter. number =   900 denomin. =        0.1364774E+01

  global error =        0.7638205E-03 iter. number =  1000 denomin. =        0.1366535E+01

  global error =        0.5537538E-03 iter. number =  1100 denomin. =        0.1360376E+01

  global error =        0.4112911E-03 iter. number =  1200 denomin. =        0.1347982E+01

  global error =        0.3059994E-03 iter. number =  1300 denomin. =        0.1348365E+01

  global error =        0.2222483E-03 iter. number =  1400 denomin. =        0.1348334E+01

  global error =        0.1653973E-03 iter. number =  1500 denomin. =        0.1343510E+01

  global error =        0.1198053E-03 iter. number =  1600 denomin. =        0.1343921E+01

  convergence  for freq. #     8 achieved in  1663 inner iterations 
 relative error value =       0.99831481E-04


  frequency number     7 frequency :       0.48750000E-01
 jw  real sour, imag sour =      7      0.83540E-01      0.13719E+00

  global error =        0.1261451E-01 iter. number =   100 denomin. =        0.1550708E+01

  global error =        0.9161271E-02 iter. number =   200 denomin. =        0.1314646E+01

  global error =        0.6284736E-02 iter. number =   300 denomin. =        0.1094124E+01

  global error =        0.3918607E-02 iter. number =   400 denomin. =        0.1146540E+01

  global error =        0.2669550E-02 iter. number =   500 denomin. =        0.1245735E+01

  global error =        0.1729333E-02 iter. number =   600 denomin. =        0.1246395E+01

  global error =        0.1220167E-02 iter. number =   700 denomin. =        0.1192126E+01

  global error =        0.9191693E-03 iter. number =   800 denomin. =        0.1189048E+01

  global error =        0.6585029E-03 iter. number =   900 denomin. =        0.1200398E+01

  global error =        0.4468454E-03 iter. number =  1000 denomin. =        0.1190079E+01

  global error =        0.3329476E-03 iter. number =  1100 denomin. =        0.1177166E+01

  global error =        0.2372871E-03 iter. number =  1200 denomin. =        0.1177602E+01

  global error =        0.1899277E-03 iter. number =  1300 denomin. =        0.1181961E+01

  global error =        0.1550674E-03 iter. number =  1400 denomin. =        0.1178911E+01

  global error =        0.1337513E-03 iter. number =  1500 denomin. =        0.1176574E+01

  global error =        0.1016705E-03 iter. number =  1600 denomin. =        0.1177902E+01

  convergence  for freq. #     7 achieved in  1614 inner iterations 
 relative error value =       0.99840458E-04


  frequency number     6 frequency :       0.41250000E-01
 jw  real sour, imag sour =      6      0.60784E-01      0.12182E+00

  global error =        0.1203854E-01 iter. number =   100 denomin. =        0.1370234E+01

  global error =        0.7795346E-02 iter. number =   200 denomin. =        0.1133537E+01

  global error =        0.5428534E-02 iter. number =   300 denomin. =        0.8921500E+00

  global error =        0.3427157E-02 iter. number =   400 denomin. =        0.8801211E+00

  global error =        0.2205987E-02 iter. number =   500 denomin. =        0.9537797E+00

  global error =        0.1319584E-02 iter. number =   600 denomin. =        0.9618222E+00

  global error =        0.9545957E-03 iter. number =   700 denomin. =        0.9468815E+00

  global error =        0.8072747E-03 iter. number =   800 denomin. =        0.9657119E+00

  global error =        0.5039281E-03 iter. number =   900 denomin. =        0.9806769E+00

  global error =        0.4478674E-03 iter. number =  1000 denomin. =        0.9814065E+00

  global error =        0.3876229E-03 iter. number =  1100 denomin. =        0.9773537E+00

  global error =        0.2717191E-03 iter. number =  1200 denomin. =        0.9757621E+00

  global error =        0.2314910E-03 iter. number =  1300 denomin. =        0.9753125E+00

  global error =        0.2091762E-03 iter. number =  1400 denomin. =        0.9698149E+00

  global error =        0.1870236E-03 iter. number =  1500 denomin. =        0.9687572E+00

  global error =        0.1349127E-03 iter. number =  1600 denomin. =        0.9664373E+00

  global error =        0.1193143E-03 iter. number =  1700 denomin. =        0.9650612E+00

  global error =        0.1112757E-03 iter. number =  1800 denomin. =        0.9651258E+00

  convergence  for freq. #     6 achieved in  1875 inner iterations 
 relative error value =       0.99835754E-04


  frequency number     5 frequency :       0.33750000E-01
 jw  real sour, imag sour =      5      0.41237E-01      0.10364E+00

  global error =        0.6303389E-02 iter. number =   100 denomin. =        0.9217120E+00

  global error =        0.5534235E-02 iter. number =   200 denomin. =        0.8424088E+00

  global error =        0.4694260E-02 iter. number =   300 denomin. =        0.7403792E+00

  global error =        0.3694176E-02 iter. number =   400 denomin. =        0.6357493E+00

  global error =        0.3171124E-02 iter. number =   500 denomin. =        0.5596725E+00

  global error =        0.3098173E-02 iter. number =   600 denomin. =        0.5178700E+00

  global error =        0.3141783E-02 iter. number =   700 denomin. =        0.4832318E+00

  global error =        0.2922158E-02 iter. number =   800 denomin. =        0.4521629E+00

  global error =        0.2613382E-02 iter. number =   900 denomin. =        0.4250556E+00

  global error =        0.2396212E-02 iter. number =  1000 denomin. =        0.4118793E+00

  global error =        0.2089805E-02 iter. number =  1100 denomin. =        0.4190574E+00

  global error =        0.1863369E-02 iter. number =  1200 denomin. =        0.4343289E+00

  global error =        0.1706372E-02 iter. number =  1300 denomin. =        0.4472424E+00

  global error =        0.1592713E-02 iter. number =  1400 denomin. =        0.4545805E+00

  global error =        0.1471789E-02 iter. number =  1500 denomin. =        0.4608096E+00

  global error =        0.1329276E-02 iter. number =  1600 denomin. =        0.4652717E+00

  global error =        0.1194395E-02 iter. number =  1700 denomin. =        0.4626028E+00

  global error =        0.1070245E-02 iter. number =  1800 denomin. =        0.4557485E+00

  global error =        0.9837107E-03 iter. number =  1900 denomin. =        0.4490162E+00

  global error =        0.9051133E-03 iter. number =  2000 denomin. =        0.4444243E+00

  global error =        0.8441945E-03 iter. number =  2100 denomin. =        0.4408719E+00

  global error =        0.8011245E-03 iter. number =  2200 denomin. =        0.4371825E+00

  global error =        0.7442389E-03 iter. number =  2300 denomin. =        0.4357152E+00

  global error =        0.6699577E-03 iter. number =  2400 denomin. =        0.4358030E+00

  global error =        0.5732378E-03 iter. number =  2500 denomin. =        0.4345409E+00

  global error =        0.5177766E-03 iter. number =  2600 denomin. =        0.4305102E+00

  global error =        0.4756612E-03 iter. number =  2700 denomin. =        0.4246974E+00

  global error =        0.4345109E-03 iter. number =  2800 denomin. =        0.4196307E+00

  global error =        0.4132911E-03 iter. number =  2900 denomin. =        0.4156180E+00

  global error =        0.3869632E-03 iter. number =  3000 denomin. =        0.4124470E+00

  global error =        0.3625146E-03 iter. number =  3100 denomin. =        0.4110665E+00

  global error =        0.3418576E-03 iter. number =  3200 denomin. =        0.4120322E+00

  global error =        0.3225275E-03 iter. number =  3300 denomin. =        0.4148292E+00

  global error =        0.3035081E-03 iter. number =  3400 denomin. =        0.4178641E+00

  global error =        0.2849170E-03 iter. number =  3500 denomin. =        0.4205102E+00

  global error =        0.2718213E-03 iter. number =  3600 denomin. =        0.4231574E+00

  global error =        0.2546455E-03 iter. number =  3700 denomin. =        0.4254671E+00

  global error =        0.2414896E-03 iter. number =  3800 denomin. =        0.4269126E+00

  global error =        0.2292711E-03 iter. number =  3900 denomin. =        0.4274746E+00

  global error =        0.2128576E-03 iter. number =  4000 denomin. =        0.4276440E+00

  NO convergence  for freq. #     5 after   4001 inner iterations 
 relative error value reduction =       0.21285755E-03


  frequency number     4 frequency :       0.26250000E-01
 jw  real sour, imag sour =      4      0.25213E-01      0.83117E-01

  global error =        0.5980622E-02 iter. number =   100 denomin. =        0.4103909E+00

  global error =        0.5062896E-02 iter. number =   200 denomin. =        0.3889081E+00

  global error =        0.4528778E-02 iter. number =   300 denomin. =        0.3892239E+00

  global error =        0.3876341E-02 iter. number =   400 denomin. =        0.3984428E+00

  global error =        0.3309134E-02 iter. number =   500 denomin. =        0.4052639E+00

  global error =        0.3024793E-02 iter. number =   600 denomin. =        0.4055192E+00

  global error =        0.2844600E-02 iter. number =   700 denomin. =        0.3907158E+00

  global error =        0.2550239E-02 iter. number =   800 denomin. =        0.3665537E+00

  global error =        0.2332950E-02 iter. number =   900 denomin. =        0.3437266E+00

  global error =        0.2169738E-02 iter. number =  1000 denomin. =        0.3223379E+00

  global error =        0.2005442E-02 iter. number =  1100 denomin. =        0.3011302E+00

  global error =        0.1881461E-02 iter. number =  1200 denomin. =        0.2814917E+00

  global error =        0.1744843E-02 iter. number =  1300 denomin. =        0.2666187E+00

  global error =        0.1569726E-02 iter. number =  1400 denomin. =        0.2601972E+00

  global error =        0.1366646E-02 iter. number =  1500 denomin. =        0.2628494E+00

  global error =        0.1216061E-02 iter. number =  1600 denomin. =        0.2700497E+00

  global error =        0.1081035E-02 iter. number =  1700 denomin. =        0.2777593E+00

  global error =        0.9762651E-03 iter. number =  1800 denomin. =        0.2849346E+00

  global error =        0.9101160E-03 iter. number =  1900 denomin. =        0.2913880E+00

  global error =        0.8156598E-03 iter. number =  2000 denomin. =        0.2955477E+00

  global error =        0.7183321E-03 iter. number =  2100 denomin. =        0.2956430E+00

  global error =        0.6582263E-03 iter. number =  2200 denomin. =        0.2919745E+00

  global error =        0.6207278E-03 iter. number =  2300 denomin. =        0.2860819E+00

  global error =        0.5760533E-03 iter. number =  2400 denomin. =        0.2798645E+00

  global error =        0.5428010E-03 iter. number =  2500 denomin. =        0.2744067E+00

  global error =        0.5122317E-03 iter. number =  2600 denomin. =        0.2697962E+00

  global error =        0.4787429E-03 iter. number =  2700 denomin. =        0.2667039E+00

  global error =        0.4450109E-03 iter. number =  2800 denomin. =        0.2660070E+00

  global error =        0.4117367E-03 iter. number =  2900 denomin. =        0.2673531E+00

  global error =        0.3897738E-03 iter. number =  3000 denomin. =        0.2692907E+00

  global error =        0.3736976E-03 iter. number =  3100 denomin. =        0.2707863E+00

  global error =        0.3587227E-03 iter. number =  3200 denomin. =        0.2719454E+00

  global error =        0.3363406E-03 iter. number =  3300 denomin. =        0.2730061E+00

  global error =        0.3219916E-03 iter. number =  3400 denomin. =        0.2735907E+00

  global error =        0.3165557E-03 iter. number =  3500 denomin. =        0.2731495E+00

  global error =        0.3034574E-03 iter. number =  3600 denomin. =        0.2715362E+00

  global error =        0.2906184E-03 iter. number =  3700 denomin. =        0.2693103E+00

  global error =        0.2850265E-03 iter. number =  3800 denomin. =        0.2673678E+00

  global error =        0.2837115E-03 iter. number =  3900 denomin. =        0.2660876E+00

  global error =        0.2764537E-03 iter. number =  4000 denomin. =        0.2651790E+00

  NO convergence  for freq. #     4 after   4001 inner iterations 
 relative error value reduction =       0.27645369E-03


  frequency number     3 frequency :       0.18750000E-01
 jw  real sour, imag sour =      3      0.12966E-01      0.60724E-01

  global error =        0.6002058E-02 iter. number =   100 denomin. =        0.2479858E+00

  global error =        0.5055440E-02 iter. number =   200 denomin. =        0.2367638E+00

  global error =        0.4426243E-02 iter. number =   300 denomin. =        0.2513926E+00

  global error =        0.3973583E-02 iter. number =   400 denomin. =        0.2697433E+00

  global error =        0.3339452E-02 iter. number =   500 denomin. =        0.2831030E+00

  global error =        0.2945338E-02 iter. number =   600 denomin. =        0.2904348E+00

  global error =        0.2725426E-02 iter. number =   700 denomin. =        0.2913083E+00

  global error =        0.2552372E-02 iter. number =   800 denomin. =        0.2907795E+00

  global error =        0.2305631E-02 iter. number =   900 denomin. =        0.2871666E+00

  global error =        0.2011191E-02 iter. number =  1000 denomin. =        0.2770622E+00

  global error =        0.1808182E-02 iter. number =  1100 denomin. =        0.2592176E+00

  global error =        0.1652372E-02 iter. number =  1200 denomin. =        0.2378133E+00

  global error =        0.1544256E-02 iter. number =  1300 denomin. =        0.2181344E+00

  global error =        0.1487676E-02 iter. number =  1400 denomin. =        0.2013124E+00

  global error =        0.1428058E-02 iter. number =  1500 denomin. =        0.1867069E+00

  global error =        0.1311022E-02 iter. number =  1600 denomin. =        0.1744647E+00

  global error =        0.1168161E-02 iter. number =  1700 denomin. =        0.1671512E+00

  global error =        0.1027054E-02 iter. number =  1800 denomin. =        0.1655048E+00

  global error =        0.9060276E-03 iter. number =  1900 denomin. =        0.1676681E+00

  global error =        0.8039003E-03 iter. number =  2000 denomin. =        0.1719434E+00

  global error =        0.7332268E-03 iter. number =  2100 denomin. =        0.1771838E+00

  global error =        0.6650156E-03 iter. number =  2200 denomin. =        0.1830181E+00

  global error =        0.5799564E-03 iter. number =  2300 denomin. =        0.1888243E+00

  global error =        0.5166177E-03 iter. number =  2400 denomin. =        0.1936702E+00

  global error =        0.4662987E-03 iter. number =  2500 denomin. =        0.1972200E+00

  global error =        0.4212353E-03 iter. number =  2600 denomin. =        0.1995554E+00

  global error =        0.3846400E-03 iter. number =  2700 denomin. =        0.2008572E+00

  global error =        0.3540072E-03 iter. number =  2800 denomin. =        0.2013284E+00

  global error =        0.3210725E-03 iter. number =  2900 denomin. =        0.2010686E+00

  global error =        0.2938301E-03 iter. number =  3000 denomin. =        0.2002312E+00

  global error =        0.2761780E-03 iter. number =  3100 denomin. =        0.1990381E+00

  global error =        0.2591411E-03 iter. number =  3200 denomin. =        0.1975542E+00

  global error =        0.2413902E-03 iter. number =  3300 denomin. =        0.1959542E+00

  global error =        0.2209177E-03 iter. number =  3400 denomin. =        0.1945626E+00

  global error =        0.1988177E-03 iter. number =  3500 denomin. =        0.1935888E+00

  global error =        0.1795871E-03 iter. number =  3600 denomin. =        0.1931046E+00

  global error =        0.1637055E-03 iter. number =  3700 denomin. =        0.1930684E+00

  global error =        0.1500880E-03 iter. number =  3800 denomin. =        0.1934219E+00

  global error =        0.1388686E-03 iter. number =  3900 denomin. =        0.1941446E+00

  global error =        0.1277776E-03 iter. number =  4000 denomin. =        0.1951474E+00

  NO convergence  for freq. #     3 after   4001 inner iterations 
 relative error value reduction =       0.12777758E-03


  frequency number     2 frequency :       0.11250000E-01
 jw  real sour, imag sour =      2      0.46924E-02      0.36980E-01

  global error =        0.6719597E-02 iter. number =   100 denomin. =        0.1812352E+00

  global error =        0.6218142E-02 iter. number =   200 denomin. =        0.1627335E+00

  global error =        0.5562985E-02 iter. number =   300 denomin. =        0.1532009E+00

  global error =        0.4896471E-02 iter. number =   400 denomin. =        0.1493875E+00

  global error =        0.4469199E-02 iter. number =   500 denomin. =        0.1538696E+00

  global error =        0.3973234E-02 iter. number =   600 denomin. =        0.1583246E+00

  global error =        0.3492530E-02 iter. number =   700 denomin. =        0.1542069E+00

  global error =        0.3256165E-02 iter. number =   800 denomin. =        0.1498300E+00

  global error =        0.2892617E-02 iter. number =   900 denomin. =        0.1479464E+00

  global error =        0.2502991E-02 iter. number =  1000 denomin. =        0.1483895E+00

  global error =        0.2267017E-02 iter. number =  1100 denomin. =        0.1482198E+00

  global error =        0.2100243E-02 iter. number =  1200 denomin. =        0.1483924E+00

  global error =        0.1852153E-02 iter. number =  1300 denomin. =        0.1521854E+00

  global error =        0.1614348E-02 iter. number =  1400 denomin. =        0.1591222E+00

  global error =        0.1440336E-02 iter. number =  1500 denomin. =        0.1646387E+00

  global error =        0.1305488E-02 iter. number =  1600 denomin. =        0.1667067E+00

  global error =        0.1172298E-02 iter. number =  1700 denomin. =        0.1663658E+00

  global error =        0.1026670E-02 iter. number =  1800 denomin. =        0.1652351E+00

  global error =        0.8994423E-03 iter. number =  1900 denomin. =        0.1634888E+00

  global error =        0.8179381E-03 iter. number =  2000 denomin. =        0.1604456E+00

  global error =        0.7665081E-03 iter. number =  2100 denomin. =        0.1570458E+00

  global error =        0.7245034E-03 iter. number =  2200 denomin. =        0.1548012E+00

  global error =        0.6763373E-03 iter. number =  2300 denomin. =        0.1540312E+00

  global error =        0.6082304E-03 iter. number =  2400 denomin. =        0.1536914E+00

  global error =        0.5301092E-03 iter. number =  2500 denomin. =        0.1529792E+00

  global error =        0.4735896E-03 iter. number =  2600 denomin. =        0.1521945E+00

  global error =        0.4396926E-03 iter. number =  2700 denomin. =        0.1518629E+00

  global error =        0.4119209E-03 iter. number =  2800 denomin. =        0.1515941E+00

  global error =        0.3785623E-03 iter. number =  2900 denomin. =        0.1506535E+00

  global error =        0.3426715E-03 iter. number =  3000 denomin. =        0.1490235E+00

  global error =        0.3144083E-03 iter. number =  3100 denomin. =        0.1474294E+00

  global error =        0.2906553E-03 iter. number =  3200 denomin. =        0.1463249E+00

  global error =        0.2655355E-03 iter. number =  3300 denomin. =        0.1454928E+00

  global error =        0.2370245E-03 iter. number =  3400 denomin. =        0.1446492E+00

  global error =        0.2120320E-03 iter. number =  3500 denomin. =        0.1439556E+00

  global error =        0.1972362E-03 iter. number =  3600 denomin. =        0.1437094E+00

  global error =        0.1880505E-03 iter. number =  3700 denomin. =        0.1438135E+00

  global error =        0.1758946E-03 iter. number =  3800 denomin. =        0.1438234E+00

  global error =        0.1587126E-03 iter. number =  3900 denomin. =        0.1434976E+00

  global error =        0.1415073E-03 iter. number =  4000 denomin. =        0.1429997E+00

  NO convergence  for freq. #     2 after   4001 inner iterations 
 relative error value reduction =       0.14150732E-03


  frequency number     1 frequency :       0.37500000E-02
 jw  real sour, imag sour =      1      0.52245E-03      0.12418E-01

  global error =        0.9572075E-02 iter. number =   100 denomin. =        0.1438041E+00

  global error =        0.8259355E-02 iter. number =   200 denomin. =        0.1355047E+00

  global error =        0.7495923E-02 iter. number =   300 denomin. =        0.1253932E+00

  global error =        0.6787901E-02 iter. number =   400 denomin. =        0.1020316E+00

  global error =        0.6612283E-02 iter. number =   500 denomin. =        0.8481244E-01

  global error =        0.5960274E-02 iter. number =   600 denomin. =        0.6806959E-01

  global error =        0.5353475E-02 iter. number =   700 denomin. =        0.5544951E-01

  global error =        0.4863939E-02 iter. number =   800 denomin. =        0.4413969E-01

  global error =        0.4796761E-02 iter. number =   900 denomin. =        0.3745609E-01

  global error =        0.4440572E-02 iter. number =  1000 denomin. =        0.3427927E-01

  global error =        0.4035546E-02 iter. number =  1100 denomin. =        0.3267770E-01

  global error =        0.3907524E-02 iter. number =  1200 denomin. =        0.3015789E-01

  global error =        0.3786933E-02 iter. number =  1300 denomin. =        0.2573838E-01

  global error =        0.3600416E-02 iter. number =  1400 denomin. =        0.2290122E-01

  global error =        0.3209074E-02 iter. number =  1500 denomin. =        0.2259616E-01

  global error =        0.2643307E-02 iter. number =  1600 denomin. =        0.2375001E-01

  global error =        0.2116106E-02 iter. number =  1700 denomin. =        0.2435117E-01

  global error =        0.1642191E-02 iter. number =  1800 denomin. =        0.2441655E-01

  global error =        0.1254389E-02 iter. number =  1900 denomin. =        0.2446192E-01

  global error =        0.9824968E-03 iter. number =  2000 denomin. =        0.2479591E-01

  global error =        0.8329706E-03 iter. number =  2100 denomin. =        0.2493634E-01

  global error =        0.7726934E-03 iter. number =  2200 denomin. =        0.2481930E-01

  global error =        0.6864870E-03 iter. number =  2300 denomin. =        0.2479300E-01

  global error =        0.6425126E-03 iter. number =  2400 denomin. =        0.2497169E-01

  global error =        0.6135785E-03 iter. number =  2500 denomin. =        0.2508425E-01

  global error =        0.5796391E-03 iter. number =  2600 denomin. =        0.2491245E-01

  global error =        0.5186421E-03 iter. number =  2700 denomin. =        0.2451130E-01

  global error =        0.4485876E-03 iter. number =  2800 denomin. =        0.2406399E-01

  global error =        0.3669059E-03 iter. number =  2900 denomin. =        0.2373156E-01

  global error =        0.2971022E-03 iter. number =  3000 denomin. =        0.2349002E-01

  global error =        0.2484284E-03 iter. number =  3100 denomin. =        0.2333742E-01

  global error =        0.2112562E-03 iter. number =  3200 denomin. =        0.2328741E-01

  global error =        0.1800045E-03 iter. number =  3300 denomin. =        0.2330293E-01

  global error =        0.1644312E-03 iter. number =  3400 denomin. =        0.2327637E-01

  global error =        0.1538893E-03 iter. number =  3500 denomin. =        0.2319859E-01

  global error =        0.1427585E-03 iter. number =  3600 denomin. =        0.2313861E-01

  global error =        0.1347427E-03 iter. number =  3700 denomin. =        0.2316310E-01

  global error =        0.1246565E-03 iter. number =  3800 denomin. =        0.2324924E-01

  global error =        0.1097607E-03 iter. number =  3900 denomin. =        0.2332219E-01

  convergence  for freq. #     1 achieved in  3954 inner iterations 
 relative error value =       0.99929952E-04

  enters outime
  leaves outime

 tiempo=       6822.3926    
