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

 # control subdomain ncontrol =     0

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

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

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

  domain size xsize =       0.20000000E+03 m

  domain size ysize =       0.20000000E+03 m

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

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


  mesh size h=       0.50000000E+00 m

  number of snapshots in freq. domain=     1

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

  number of snapshots in time domain=     4

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

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

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

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

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

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

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



   frequency  freq=       0.70000000E+00 khz



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



  total simulation time  stime =        0.10000000E+03 msec


   parameters of  source band-pass filter

 set equal to 0. if not filter is desired

 f1  =       0.00000000E+00   khz 

 f2  =       0.00000000E+00   khz 

 f3  =       0.14000000E+01   khz 

 f4  =       0.15000000E+01   khz 



   maxiter =  max. # inner iterations  4000

   reduc =  relative error required        0.10000000E-03

  number of materials (nmat) =     4

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


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

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

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

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


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


     1          0.000000E+00          0.000000E+00

     2          0.000000E+00          0.000000E+00

     3          0.000000E+00          0.000000E+00

     4          0.000000E+00          0.000000E+00


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


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

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

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

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


  bulmin-umin-bulmax-umax   

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


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

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



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

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



 phase  velocity  pp1 =  0.97336E+00 m/msec

 phase velocity pp2 =  0.97336E+00 m/msec

 phase velocity ss1 =  0.57177E+00 m/msec

 phase velocity ss2 =  0.57177E+00 m/msec



   mat. number      fq1                     fq2    (Liu model)  


     1        0.10000000E-06 kHz       0.10000000E+08 kHz

     2        0.10000000E-06 kHz       0.10000000E+08 kHz

     3        0.10000000E-06 kHz       0.10000000E+08 kHz

     4        0.10000000E-06 kHz       0.10000000E+08 kHz

  material number     qp(i)  (Liu model)


     1              0.00000000E+00

     2              0.00000000E+00

     3              0.00000000E+00

     4              0.00000000E+00

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


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

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

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

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

 Material  Number               Ref. Speed ve    relaxed  plane wave modulus xmr


            1                   0.97336E+00         0.24633E+07

            2                   0.97336E+00         0.24633E+07

            3                   0.97336E+00         0.24633E+07

            4                   0.97336E+00         0.24633E+07

  time step  dt =       0.10273657E+00 msec



  number of time steps  nt =    973



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

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


  jsou =     5  ksou =     5

  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 =     5    5
               rx(i) & ry(i) =   2.0000000      2.0000000      m

 receiver i =    2   irx & iry =     9    5
               rx(i) & ry(i) =   4.3500000      2.0000000      m

 receiver i =    3   irx & iry =    14    5
               rx(i) & ry(i) =   6.7000000      2.0000000      m

 receiver i =    4   irx & iry =    19    5
               rx(i) & ry(i) =   9.0500000      2.0000000      m

 receiver i =    5   irx & iry =    23    5
               rx(i) & ry(i) =   11.400000      2.0000000      m

 receiver i =    6   irx & iry =    28    5
               rx(i) & ry(i) =   13.750000      2.0000000      m

 receiver i =    7   irx & iry =    33    5
               rx(i) & ry(i) =   16.100000      2.0000000      m

 receiver i =    8   irx & iry =    37    5
               rx(i) & ry(i) =   18.450000      2.0000000      m

 receiver i =    9   irx & iry =    42    5
               rx(i) & ry(i) =   20.800000      2.0000000      m

 receiver i =   10   irx & iry =    47    5
               rx(i) & ry(i) =   23.150000      2.0000000      m

 receiver i =   11   irx & iry =    52    5
               rx(i) & ry(i) =   25.500000      2.0000000      m

 receiver i =   12   irx & iry =    56    5
               rx(i) & ry(i) =   27.850000      2.0000000      m

 receiver i =   13   irx & iry =    61    5
               rx(i) & ry(i) =   30.200000      2.0000000      m

 receiver i =   14   irx & iry =    66    5
               rx(i) & ry(i) =   32.550000      2.0000000      m

 receiver i =   15   irx & iry =    70    5
               rx(i) & ry(i) =   34.900000      2.0000000      m

 receiver i =   16   irx & iry =    75    5
               rx(i) & ry(i) =   37.250000      2.0000000      m

 receiver i =   17   irx & iry =    80    5
               rx(i) & ry(i) =   39.600000      2.0000000      m

 receiver i =   18   irx & iry =    84    5
               rx(i) & ry(i) =   41.950000      2.0000000      m

 receiver i =   19   irx & iry =    89    5
               rx(i) & ry(i) =   44.300000      2.0000000      m

 receiver i =   20   irx & iry =    94    5
               rx(i) & ry(i) =   46.650000      2.0000000      m

 receiver i =   21   irx & iry =    99    5
               rx(i) & ry(i) =   49.000000      2.0000000      m

 receiver i =   22   irx & iry =   103    5
               rx(i) & ry(i) =   51.350000      2.0000000      m

 receiver i =   23   irx & iry =   108    5
               rx(i) & ry(i) =   53.700000      2.0000000      m

 receiver i =   24   irx & iry =   113    5
               rx(i) & ry(i) =   56.050000      2.0000000      m

 receiver i =   25   irx & iry =   117    5
               rx(i) & ry(i) =   58.400000      2.0000000      m

 receiver i =   26   irx & iry =   122    5
               rx(i) & ry(i) =   60.750000      2.0000000      m

 receiver i =   27   irx & iry =   127    5
               rx(i) & ry(i) =   63.100000      2.0000000      m

 receiver i =   28   irx & iry =   131    5
               rx(i) & ry(i) =   65.450000      2.0000000      m

 receiver i =   29   irx & iry =   136    5
               rx(i) & ry(i) =   67.800000      2.0000000      m

 receiver i =   30   irx & iry =   141    5
               rx(i) & ry(i) =   70.150000      2.0000000      m

 receiver i =   31   irx & iry =   146    5
               rx(i) & ry(i) =   72.500000      2.0000000      m

 receiver i =   32   irx & iry =   150    5
               rx(i) & ry(i) =   74.850000      2.0000000      m

 receiver i =   33   irx & iry =   155    5
               rx(i) & ry(i) =   77.200000      2.0000000      m

 receiver i =   34   irx & iry =   160    5
               rx(i) & ry(i) =   79.550000      2.0000000      m

 receiver i =   35   irx & iry =   164    5
               rx(i) & ry(i) =   81.900000      2.0000000      m

 receiver i =   36   irx & iry =   169    5
               rx(i) & ry(i) =   84.250000      2.0000000      m

 receiver i =   37   irx & iry =   174    5
               rx(i) & ry(i) =   86.600000      2.0000000      m

 receiver i =   38   irx & iry =   178    5
               rx(i) & ry(i) =   88.950000      2.0000000      m

 receiver i =   39   irx & iry =   183    5
               rx(i) & ry(i) =   91.300000      2.0000000      m

 receiver i =   40   irx & iry =   188    5
               rx(i) & ry(i) =   93.650000      2.0000000      m

 receiver i =   41   irx & iry =   193    5
               rx(i) & ry(i) =   96.000000      2.0000000      m

 receiver i =   42   irx & iry =   197    5
               rx(i) & ry(i) =   98.350000      2.0000000      m

 receiver i =   43   irx & iry =   202    5
               rx(i) & ry(i) =   100.70000      2.0000000      m

 receiver i =   44   irx & iry =   207    5
               rx(i) & ry(i) =   103.05000      2.0000000      m

 receiver i =   45   irx & iry =   211    5
               rx(i) & ry(i) =   105.40000      2.0000000      m

 receiver i =   46   irx & iry =   216    5
               rx(i) & ry(i) =   107.75000      2.0000000      m

 receiver i =   47   irx & iry =   221    5
               rx(i) & ry(i) =   110.10000      2.0000000      m

 receiver i =   48   irx & iry =   225    5
               rx(i) & ry(i) =   112.45000      2.0000000      m

 receiver i =   49   irx & iry =   230    5
               rx(i) & ry(i) =   114.80000      2.0000000      m

 receiver i =   50   irx & iry =   235    5
               rx(i) & ry(i) =   117.15000      2.0000000      m

 receiver i =   51   irx & iry =   240    5
               rx(i) & ry(i) =   119.50000      2.0000000      m

 receiver i =   52   irx & iry =   244    5
               rx(i) & ry(i) =   121.85000      2.0000000      m

 receiver i =   53   irx & iry =   249    5
               rx(i) & ry(i) =   124.20000      2.0000000      m

 receiver i =   54   irx & iry =   254    5
               rx(i) & ry(i) =   126.55000      2.0000000      m

 receiver i =   55   irx & iry =   258    5
               rx(i) & ry(i) =   128.90000      2.0000000      m

 receiver i =   56   irx & iry =   263    5
               rx(i) & ry(i) =   131.25000      2.0000000      m

 receiver i =   57   irx & iry =   268    5
               rx(i) & ry(i) =   133.60000      2.0000000      m

 receiver i =   58   irx & iry =   272    5
               rx(i) & ry(i) =   135.95000      2.0000000      m

 receiver i =   59   irx & iry =   277    5
               rx(i) & ry(i) =   138.30000      2.0000000      m

 receiver i =   60   irx & iry =   282    5
               rx(i) & ry(i) =   140.65000      2.0000000      m

 receiver i =   61   irx & iry =   287    5
               rx(i) & ry(i) =   143.00000      2.0000000      m

 receiver i =   62   irx & iry =   291    5
               rx(i) & ry(i) =   145.35000      2.0000000      m

 receiver i =   63   irx & iry =   296    5
               rx(i) & ry(i) =   147.70000      2.0000000      m

 receiver i =   64   irx & iry =   301    5
               rx(i) & ry(i) =   150.05000      2.0000000      m

 receiver i =   65   irx & iry =   305    5
               rx(i) & ry(i) =   152.40000      2.0000000      m

 receiver i =   66   irx & iry =   310    5
               rx(i) & ry(i) =   154.75000      2.0000000      m

 receiver i =   67   irx & iry =   315    5
               rx(i) & ry(i) =   157.10000      2.0000000      m

 receiver i =   68   irx & iry =   319    5
               rx(i) & ry(i) =   159.45000      2.0000000      m

 receiver i =   69   irx & iry =   324    5
               rx(i) & ry(i) =   161.80000      2.0000000      m

 receiver i =   70   irx & iry =   329    5
               rx(i) & ry(i) =   164.15000      2.0000000      m

 receiver i =   71   irx & iry =   334    5
               rx(i) & ry(i) =   166.50000      2.0000000      m

 receiver i =   72   irx & iry =   338    5
               rx(i) & ry(i) =   168.85000      2.0000000      m

 receiver i =   73   irx & iry =   343    5
               rx(i) & ry(i) =   171.20000      2.0000000      m

 receiver i =   74   irx & iry =   348    5
               rx(i) & ry(i) =   173.55000      2.0000000      m

 receiver i =   75   irx & iry =   352    5
               rx(i) & ry(i) =   175.90000      2.0000000      m

 receiver i =   76   irx & iry =   357    5
               rx(i) & ry(i) =   178.25000      2.0000000      m

 receiver i =   77   irx & iry =   362    5
               rx(i) & ry(i) =   180.60000      2.0000000      m

 receiver i =   78   irx & iry =   366    5
               rx(i) & ry(i) =   182.95000      2.0000000      m

 receiver i =   79   irx & iry =   371    5
               rx(i) & ry(i) =   185.30000      2.0000000      m

 receiver i =   80   irx & iry =   376    5
               rx(i) & ry(i) =   187.65000      2.0000000      m

 receiver i =   81   irx & iry =   381    5
               rx(i) & ry(i) =   190.00000      2.0000000      m

  nyquist frequency =       0.48668159E+01 khz

  dt  =       0.10273657E+00  msec

 delf =       0.75000000E-02  khz

 delw =       0.47123890E-01  2 pi*khz



   parameters of  source band-pass filter

 set equal to 0. if not filter is desired

 f1  =       0.00000000E+00   khz 

 f2  =       0.00000000E+00   khz 

 f3  =       0.14000000E+01   khz 

 f4  =       0.15000000E+01   khz 



  freq. indices for snapshots 
    1      5

  time steps for snapshots 
    1     97

  time steps for snapshots 
    2    194

  time steps for snapshots 
    3    243

  time steps for snapshots 
    4    292

  if1 if2 if3 if4 =     1     1   187   201

 jw1 - jw2 - jwlow       1    200     10

  pulse length in samples      53

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

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

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

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

  from  xi                     =       0.00000000E+00 m  
 up to xf                     =       0.20000000E+03 m 
 from  yi                     =       0.50000000E+02 m  
 up to yf                     =       0.10000000E+03 m 
 material type number  numat  =     3

  from  ixi (x-global grid #)    =     1
 up to ixf (x-global grid #)    =   400
 from  iyi (y-global grid #)    =   101
 up to yf  (y-global grid #)    =   200
 material type number  numat    =     3

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

  from  ixi (x-global grid #)    =     1
 up to ixf (x-global grid #)    =   400
 from  iyi (y-global grid #)    =   201
 up to yf  (y-global grid #)    =   216
 material type number  numat    =     4

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

  from  ixi (x-global grid #)    =     1
 up to ixf (x-global grid #)    =   400
 from  iyi (y-global grid #)    =   217
 up to yf  (y-global grid #)    =   300
 material type number  numat    =     3

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

  from  ixi (x-global grid #)    =     1
 up to ixf (x-global grid #)    =   400
 from  iyi (y-global grid #)    =   301
 up to yf  (y-global grid #)    =   400
 material type number  numat    =     2

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


  jw1 , jw2  in main =     1      200

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

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

  global error =        0.5088483E-02 iter. number =   200 denomin. =        0.1315954E-03

  global error =        0.4132939E-02 iter. number =   300 denomin. =        0.1496116E-03

  global error =        0.3720924E-02 iter. number =   400 denomin. =        0.1674550E-03

  global error =        0.3063950E-02 iter. number =   500 denomin. =        0.1879421E-03

  global error =        0.2192481E-02 iter. number =   600 denomin. =        0.2071046E-03

  global error =        0.7989045E-03 iter. number =   700 denomin. =        0.2135167E-03

  global error =        0.7696441E-03 iter. number =   800 denomin. =        0.2159094E-03

  global error =        0.6567814E-03 iter. number =   900 denomin. =        0.2174575E-03

  global error =        0.5530528E-03 iter. number =  1000 denomin. =        0.2160040E-03

  global error =        0.2464234E-03 iter. number =  1100 denomin. =        0.2147230E-03

  global error =        0.1970817E-03 iter. number =  1200 denomin. =        0.2129307E-03

  global error =        0.1762043E-03 iter. number =  1300 denomin. =        0.2099464E-03

  global error =        0.1360353E-03 iter. number =  1400 denomin. =        0.2072879E-03

  convergence  for freq. #   200 achieved in  1497 inner iterations 
 relative error value =       0.99571701E-04


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

  global error =        0.4711013E-02 iter. number =   100 denomin. =        0.5881847E-03

  global error =        0.3106957E-02 iter. number =   200 denomin. =        0.6749717E-03

  global error =        0.2582684E-02 iter. number =   300 denomin. =        0.7635986E-03

  global error =        0.2251208E-02 iter. number =   400 denomin. =        0.8536653E-03

  global error =        0.1760635E-02 iter. number =   500 denomin. =        0.9277617E-03

  global error =        0.1255941E-02 iter. number =   600 denomin. =        0.9733768E-03

  global error =        0.6277064E-03 iter. number =   700 denomin. =        0.9582798E-03

  global error =        0.5871803E-03 iter. number =   800 denomin. =        0.9288287E-03

  global error =        0.4349573E-03 iter. number =   900 denomin. =        0.9076051E-03

  global error =        0.3470181E-03 iter. number =  1000 denomin. =        0.8867133E-03

  global error =        0.2031282E-03 iter. number =  1100 denomin. =        0.8682113E-03

  global error =        0.1709790E-03 iter. number =  1200 denomin. =        0.8534300E-03

  global error =        0.1272716E-03 iter. number =  1300 denomin. =        0.8435432E-03

  convergence  for freq. #   199 achieved in  1364 inner iterations 
 relative error value =       0.99926760E-04


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

  global error =        0.3703996E-02 iter. number =   100 denomin. =        0.1530901E-02

  global error =        0.2396086E-02 iter. number =   200 denomin. =        0.1618164E-02

  global error =        0.1889820E-02 iter. number =   300 denomin. =        0.1682088E-02

  global error =        0.1525701E-02 iter. number =   400 denomin. =        0.1776055E-02

  global error =        0.1321022E-02 iter. number =   500 denomin. =        0.1891821E-02

  global error =        0.9382905E-03 iter. number =   600 denomin. =        0.1976088E-02

  global error =        0.4428778E-03 iter. number =   700 denomin. =        0.2032459E-02

  global error =        0.3304887E-03 iter. number =   800 denomin. =        0.2067689E-02

  global error =        0.2921159E-03 iter. number =   900 denomin. =        0.2080571E-02

  global error =        0.2302572E-03 iter. number =  1000 denomin. =        0.2094526E-02

  global error =        0.1268234E-03 iter. number =  1100 denomin. =        0.2098611E-02

  convergence  for freq. #   198 achieved in  1182 inner iterations 
 relative error value =       0.99971947E-04


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

  global error =        0.3528536E-02 iter. number =   100 denomin. =        0.3262885E-02

  global error =        0.2623570E-02 iter. number =   200 denomin. =        0.3589371E-02

  global error =        0.2176712E-02 iter. number =   300 denomin. =        0.3898552E-02

  global error =        0.1828270E-02 iter. number =   400 denomin. =        0.4172707E-02

  global error =        0.1497494E-02 iter. number =   500 denomin. =        0.4388437E-02

  global error =        0.9808303E-03 iter. number =   600 denomin. =        0.4462427E-02

  global error =        0.5119299E-03 iter. number =   700 denomin. =        0.4358491E-02

  global error =        0.4510778E-03 iter. number =   800 denomin. =        0.4204242E-02

  global error =        0.4145625E-03 iter. number =   900 denomin. =        0.4046947E-02

  global error =        0.3131217E-03 iter. number =  1000 denomin. =        0.3937210E-02

  global error =        0.1767633E-03 iter. number =  1100 denomin. =        0.3891102E-02

  global error =        0.1361822E-03 iter. number =  1200 denomin. =        0.3880983E-02

  global error =        0.1103975E-03 iter. number =  1300 denomin. =        0.3889130E-02

  convergence  for freq. #   197 achieved in  1368 inner iterations 
 relative error value =       0.99886806E-04


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

  global error =        0.3239568E-02 iter. number =   100 denomin. =        0.5659920E-02

  global error =        0.2325515E-02 iter. number =   200 denomin. =        0.6082365E-02

  global error =        0.1897975E-02 iter. number =   300 denomin. =        0.6566205E-02

  global error =        0.1470558E-02 iter. number =   400 denomin. =        0.7142512E-02

  global error =        0.1054823E-02 iter. number =   500 denomin. =        0.7764210E-02

  global error =        0.7958114E-03 iter. number =   600 denomin. =        0.8364505E-02

  global error =        0.4769397E-03 iter. number =   700 denomin. =        0.8792281E-02

  global error =        0.4058845E-03 iter. number =   800 denomin. =        0.9128268E-02

  global error =        0.2625884E-03 iter. number =   900 denomin. =        0.9396949E-02

  global error =        0.2231674E-03 iter. number =  1000 denomin. =        0.9594502E-02

  global error =        0.1792115E-03 iter. number =  1100 denomin. =        0.9741057E-02

  global error =        0.1679044E-03 iter. number =  1200 denomin. =        0.9847387E-02

  global error =        0.1472383E-03 iter. number =  1300 denomin. =        0.9932609E-02

  global error =        0.1365415E-03 iter. number =  1400 denomin. =        0.9985629E-02

  global error =        0.1326152E-03 iter. number =  1500 denomin. =        0.1002478E-01

  global error =        0.1297497E-03 iter. number =  1600 denomin. =        0.1005461E-01

  global error =        0.1270642E-03 iter. number =  1700 denomin. =        0.1007892E-01

  global error =        0.1244947E-03 iter. number =  1800 denomin. =        0.1009412E-01

  global error =        0.1229370E-03 iter. number =  1900 denomin. =        0.1010420E-01

  global error =        0.1214621E-03 iter. number =  2000 denomin. =        0.1011228E-01

  global error =        0.1200913E-03 iter. number =  2100 denomin. =        0.1011850E-01

  global error =        0.1187630E-03 iter. number =  2200 denomin. =        0.1012277E-01

  global error =        0.1175136E-03 iter. number =  2300 denomin. =        0.1012553E-01

  global error =        0.1162852E-03 iter. number =  2400 denomin. =        0.1012778E-01

  global error =        0.1150806E-03 iter. number =  2500 denomin. =        0.1012943E-01

  global error =        0.1138933E-03 iter. number =  2600 denomin. =        0.1013061E-01

  global error =        0.1127185E-03 iter. number =  2700 denomin. =        0.1013142E-01

  global error =        0.1115557E-03 iter. number =  2800 denomin. =        0.1013199E-01

  global error =        0.1104033E-03 iter. number =  2900 denomin. =        0.1013229E-01

  global error =        0.1092625E-03 iter. number =  3000 denomin. =        0.1013247E-01

  global error =        0.1081321E-03 iter. number =  3100 denomin. =        0.1013265E-01

  global error =        0.1070110E-03 iter. number =  3200 denomin. =        0.1013286E-01

  global error =        0.1059002E-03 iter. number =  3300 denomin. =        0.1013305E-01

  global error =        0.1048011E-03 iter. number =  3400 denomin. =        0.1013319E-01

  global error =        0.1037128E-03 iter. number =  3500 denomin. =        0.1013326E-01

  global error =        0.1026356E-03 iter. number =  3600 denomin. =        0.1013328E-01

  global error =        0.1015698E-03 iter. number =  3700 denomin. =        0.1013326E-01

  global error =        0.1005149E-03 iter. number =  3800 denomin. =        0.1013324E-01

  convergence  for freq. #   196 achieved in  3850 inner iterations 
 relative error value =       0.99991477E-04


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

  global error =        0.4398851E-02 iter. number =   100 denomin. =        0.1245450E-01

  global error =        0.3406519E-02 iter. number =   200 denomin. =        0.1243380E-01

  global error =        0.2861114E-02 iter. number =   300 denomin. =        0.1215253E-01

  global error =        0.2251708E-02 iter. number =   400 denomin. =        0.1169630E-01

  global error =        0.1522867E-02 iter. number =   500 denomin. =        0.1095781E-01

  global error =        0.1027325E-02 iter. number =   600 denomin. =        0.1032429E-01

  global error =        0.9248633E-03 iter. number =   700 denomin. =        0.9860022E-02

  global error =        0.6508241E-03 iter. number =   800 denomin. =        0.9766925E-02

  global error =        0.4536282E-03 iter. number =   900 denomin. =        0.9902876E-02

  global error =        0.3518407E-03 iter. number =  1000 denomin. =        0.1008058E-01

  global error =        0.3165366E-03 iter. number =  1100 denomin. =        0.1017197E-01

  global error =        0.2377263E-03 iter. number =  1200 denomin. =        0.1018236E-01

  global error =        0.1943552E-03 iter. number =  1300 denomin. =        0.1014138E-01

  global error =        0.1858825E-03 iter. number =  1400 denomin. =        0.1007973E-01

  global error =        0.1756973E-03 iter. number =  1500 denomin. =        0.1004585E-01

  global error =        0.1638112E-03 iter. number =  1600 denomin. =        0.1004205E-01

  global error =        0.1561365E-03 iter. number =  1700 denomin. =        0.1005615E-01

  global error =        0.1531380E-03 iter. number =  1800 denomin. =        0.1007415E-01

  global error =        0.1495435E-03 iter. number =  1900 denomin. =        0.1008463E-01

  global error =        0.1462502E-03 iter. number =  2000 denomin. =        0.1008524E-01

  global error =        0.1435399E-03 iter. number =  2100 denomin. =        0.1008003E-01

  global error =        0.1411834E-03 iter. number =  2200 denomin. =        0.1007450E-01

  global error =        0.1387768E-03 iter. number =  2300 denomin. =        0.1007129E-01

  global error =        0.1364329E-03 iter. number =  2400 denomin. =        0.1007120E-01

  global error =        0.1341917E-03 iter. number =  2500 denomin. =        0.1007291E-01

  global error =        0.1319953E-03 iter. number =  2600 denomin. =        0.1007462E-01

  global error =        0.1298425E-03 iter. number =  2700 denomin. =        0.1007547E-01

  global error =        0.1277437E-03 iter. number =  2800 denomin. =        0.1007534E-01

  global error =        0.1256900E-03 iter. number =  2900 denomin. =        0.1007471E-01

  global error =        0.1236728E-03 iter. number =  3000 denomin. =        0.1007415E-01

  global error =        0.1216952E-03 iter. number =  3100 denomin. =        0.1007392E-01

  global error =        0.1197533E-03 iter. number =  3200 denomin. =        0.1007394E-01

  global error =        0.1178467E-03 iter. number =  3300 denomin. =        0.1007407E-01

  global error =        0.1159763E-03 iter. number =  3400 denomin. =        0.1007420E-01

  global error =        0.1141402E-03 iter. number =  3500 denomin. =        0.1007424E-01

  global error =        0.1123380E-03 iter. number =  3600 denomin. =        0.1007418E-01

  global error =        0.1105705E-03 iter. number =  3700 denomin. =        0.1007408E-01

  global error =        0.1088359E-03 iter. number =  3800 denomin. =        0.1007400E-01

  global error =        0.1071324E-03 iter. number =  3900 denomin. =        0.1007397E-01

  global error =        0.1054598E-03 iter. number =  4000 denomin. =        0.1007396E-01

  NO convergence  for freq. #   195 after   4001 inner iterations 
 relative error value reduction =       0.10545984E-03


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

  global error =        0.2883540E-02 iter. number =   100 denomin. =        0.1320989E-01

  global error =        0.1999221E-02 iter. number =   200 denomin. =        0.1390185E-01

  global error =        0.1545220E-02 iter. number =   300 denomin. =        0.1470637E-01

  global error =        0.1262572E-02 iter. number =   400 denomin. =        0.1573903E-01

  global error =        0.1066848E-02 iter. number =   500 denomin. =        0.1688987E-01

  global error =        0.7165496E-03 iter. number =   600 denomin. =        0.1771574E-01

  global error =        0.3619340E-03 iter. number =   700 denomin. =        0.1841720E-01

  global error =        0.3145675E-03 iter. number =   800 denomin. =        0.1902966E-01

  global error =        0.2609647E-03 iter. number =   900 denomin. =        0.1953298E-01

  global error =        0.2018143E-03 iter. number =  1000 denomin. =        0.1989220E-01

  global error =        0.1402236E-03 iter. number =  1100 denomin. =        0.2013432E-01

  global error =        0.1277900E-03 iter. number =  1200 denomin. =        0.2033572E-01

  global error =        0.1076363E-03 iter. number =  1300 denomin. =        0.2048779E-01

  convergence  for freq. #   194 achieved in  1352 inner iterations 
 relative error value =       0.99998183E-04


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

  global error =        0.4052940E-02 iter. number =   100 denomin. =        0.2441859E-01

  global error =        0.3221211E-02 iter. number =   200 denomin. =        0.2516685E-01

  global error =        0.2747191E-02 iter. number =   300 denomin. =        0.2542284E-01

  global error =        0.2144941E-02 iter. number =   400 denomin. =        0.2498601E-01

  global error =        0.1524646E-02 iter. number =   500 denomin. =        0.2434148E-01

  global error =        0.9854746E-03 iter. number =   600 denomin. =        0.2373311E-01

  global error =        0.6729583E-03 iter. number =   700 denomin. =        0.2307102E-01

  global error =        0.5430740E-03 iter. number =   800 denomin. =        0.2273649E-01

  global error =        0.4463354E-03 iter. number =   900 denomin. =        0.2276649E-01

  global error =        0.3192415E-03 iter. number =  1000 denomin. =        0.2288553E-01

  global error =        0.1988963E-03 iter. number =  1100 denomin. =        0.2297394E-01

  global error =        0.1494899E-03 iter. number =  1200 denomin. =        0.2297921E-01

  global error =        0.1269839E-03 iter. number =  1300 denomin. =        0.2287515E-01

  global error =        0.1122321E-03 iter. number =  1400 denomin. =        0.2276206E-01

  convergence  for freq. #   193 achieved in  1472 inner iterations 
 relative error value =       0.99917136E-04


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

  global error =        0.3410059E-02 iter. number =   100 denomin. =        0.2806121E-01

  global error =        0.2610110E-02 iter. number =   200 denomin. =        0.3003510E-01

  global error =        0.2152641E-02 iter. number =   300 denomin. =        0.3256052E-01

  global error =        0.1609316E-02 iter. number =   400 denomin. =        0.3523876E-01

  global error =        0.1201943E-02 iter. number =   500 denomin. =        0.3733086E-01

  global error =        0.8123351E-03 iter. number =   600 denomin. =        0.3848664E-01

  global error =        0.5754584E-03 iter. number =   700 denomin. =        0.3847680E-01

  global error =        0.4517267E-03 iter. number =   800 denomin. =        0.3810338E-01

  global error =        0.3098940E-03 iter. number =   900 denomin. =        0.3759792E-01

  global error =        0.2421627E-03 iter. number =  1000 denomin. =        0.3702185E-01

  global error =        0.1801275E-03 iter. number =  1100 denomin. =        0.3638584E-01

  global error =        0.1483376E-03 iter. number =  1200 denomin. =        0.3578878E-01

  global error =        0.9994309E-04 iter. number =  1300 denomin. =        0.3534693E-01

  convergence  for freq. #   192 achieved in  1300 inner iterations 
 relative error value =       0.99943092E-04


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

  global error =        0.3732504E-02 iter. number =   100 denomin. =        0.4059877E-01

  global error =        0.2584484E-02 iter. number =   200 denomin. =        0.3882727E-01

  global error =        0.1936089E-02 iter. number =   300 denomin. =        0.3711298E-01

  global error =        0.1407872E-02 iter. number =   400 denomin. =        0.3666292E-01

  global error =        0.9259398E-03 iter. number =   500 denomin. =        0.3731211E-01

  global error =        0.7092894E-03 iter. number =   600 denomin. =        0.3918222E-01

  global error =        0.4876407E-03 iter. number =   700 denomin. =        0.4059959E-01

  global error =        0.3326924E-03 iter. number =   800 denomin. =        0.4104827E-01

  global error =        0.2346635E-03 iter. number =   900 denomin. =        0.4082701E-01

  global error =        0.1879045E-03 iter. number =  1000 denomin. =        0.4035525E-01

  global error =        0.1426253E-03 iter. number =  1100 denomin. =        0.4008585E-01

  convergence  for freq. #   191 achieved in  1160 inner iterations 
 relative error value =       0.99702238E-04


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

  global error =        0.3271728E-02 iter. number =   100 denomin. =        0.4849747E-01

  global error =        0.2527602E-02 iter. number =   200 denomin. =        0.5302900E-01

  global error =        0.2128528E-02 iter. number =   300 denomin. =        0.5784970E-01

  global error =        0.1754719E-02 iter. number =   400 denomin. =        0.6264094E-01

  global error =        0.1332297E-02 iter. number =   500 denomin. =        0.6658328E-01

  global error =        0.8630027E-03 iter. number =   600 denomin. =        0.6862416E-01

  global error =        0.5467093E-03 iter. number =   700 denomin. =        0.6894005E-01

  global error =        0.4623949E-03 iter. number =   800 denomin. =        0.6831722E-01

  global error =        0.3712104E-03 iter. number =   900 denomin. =        0.6714844E-01

  global error =        0.2780651E-03 iter. number =  1000 denomin. =        0.6587397E-01

  global error =        0.1795272E-03 iter. number =  1100 denomin. =        0.6480859E-01

  global error =        0.1425989E-03 iter. number =  1200 denomin. =        0.6384524E-01

  global error =        0.1095913E-03 iter. number =  1300 denomin. =        0.6297597E-01

  convergence  for freq. #   190 achieved in  1331 inner iterations 
 relative error value =       0.99991589E-04


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

  global error =        0.3759104E-02 iter. number =   100 denomin. =        0.7037271E-01

  global error =        0.2728514E-02 iter. number =   200 denomin. =        0.7033736E-01

  global error =        0.2222100E-02 iter. number =   300 denomin. =        0.7033853E-01

  global error =        0.1410486E-02 iter. number =   400 denomin. =        0.7093295E-01

  global error =        0.9008114E-03 iter. number =   500 denomin. =        0.7392695E-01

  global error =        0.7121758E-03 iter. number =   600 denomin. =        0.7793559E-01

  global error =        0.5545677E-03 iter. number =   700 denomin. =        0.8168480E-01

  global error =        0.3826939E-03 iter. number =   800 denomin. =        0.8442584E-01

  global error =        0.2521199E-03 iter. number =   900 denomin. =        0.8602224E-01

  global error =        0.1814429E-03 iter. number =  1000 denomin. =        0.8692706E-01

  global error =        0.1276304E-03 iter. number =  1100 denomin. =        0.8744007E-01

  global error =        0.9985822E-04 iter. number =  1200 denomin. =        0.8792200E-01

  convergence  for freq. #   189 achieved in  1200 inner iterations 
 relative error value =       0.99858223E-04


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

  global error =        0.4021767E-02 iter. number =   100 denomin. =        0.1012702E+00

  global error =        0.3230905E-02 iter. number =   200 denomin. =        0.1042771E+00

  global error =        0.2725814E-02 iter. number =   300 denomin. =        0.1071031E+00

  global error =        0.2173154E-02 iter. number =   400 denomin. =        0.1079863E+00

  global error =        0.1572807E-02 iter. number =   500 denomin. =        0.1061446E+00

  global error =        0.9934994E-03 iter. number =   600 denomin. =        0.1007418E+00

  global error =        0.7823626E-03 iter. number =   700 denomin. =        0.9327411E-01

  global error =        0.6229168E-03 iter. number =   800 denomin. =        0.8780857E-01

  global error =        0.4528910E-03 iter. number =   900 denomin. =        0.8533270E-01

  global error =        0.3091928E-03 iter. number =  1000 denomin. =        0.8509659E-01

  global error =        0.2276343E-03 iter. number =  1100 denomin. =        0.8620848E-01

  global error =        0.1750290E-03 iter. number =  1200 denomin. =        0.8751492E-01

  global error =        0.1165822E-03 iter. number =  1300 denomin. =        0.8833298E-01

  convergence  for freq. #   188 achieved in  1336 inner iterations 
 relative error value =       0.99862526E-04


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

  global error =        0.3148323E-02 iter. number =   100 denomin. =        0.1027485E+00

  global error =        0.2168757E-02 iter. number =   200 denomin. =        0.1052958E+00

  global error =        0.1611879E-02 iter. number =   300 denomin. =        0.1090788E+00

  global error =        0.1176722E-02 iter. number =   400 denomin. =        0.1154166E+00

  global error =        0.8709278E-03 iter. number =   500 denomin. =        0.1234501E+00

  global error =        0.6558555E-03 iter. number =   600 denomin. =        0.1309008E+00

  global error =        0.3536350E-03 iter. number =   700 denomin. =        0.1365729E+00

  global error =        0.2704513E-03 iter. number =   800 denomin. =        0.1409197E+00

  global error =        0.2056241E-03 iter. number =   900 denomin. =        0.1444175E+00

  global error =        0.1711294E-03 iter. number =  1000 denomin. =        0.1473313E+00

  global error =        0.1019377E-03 iter. number =  1100 denomin. =        0.1494169E+00

  convergence  for freq. #   187 achieved in  1103 inner iterations 
 relative error value =       0.99798709E-04


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

  global error =        0.4374205E-02 iter. number =   100 denomin. =        0.1562671E+00

  global error =        0.3557488E-02 iter. number =   200 denomin. =        0.1583642E+00

  global error =        0.3134873E-02 iter. number =   300 denomin. =        0.1572690E+00

  global error =        0.2553603E-02 iter. number =   400 denomin. =        0.1511353E+00

  global error =        0.1795634E-02 iter. number =   500 denomin. =        0.1407503E+00

  global error =        0.1125340E-02 iter. number =   600 denomin. =        0.1291613E+00

  global error =        0.8964615E-03 iter. number =   700 denomin. =        0.1195692E+00

  global error =        0.7699373E-03 iter. number =   800 denomin. =        0.1137316E+00

  global error =        0.5571704E-03 iter. number =   900 denomin. =        0.1122135E+00

  global error =        0.3417670E-03 iter. number =  1000 denomin. =        0.1134812E+00

  global error =        0.2204474E-03 iter. number =  1100 denomin. =        0.1152626E+00

  global error =        0.1894689E-03 iter. number =  1200 denomin. =        0.1166708E+00

  global error =        0.1486373E-03 iter. number =  1300 denomin. =        0.1173270E+00

  convergence  for freq. #   186 achieved in  1392 inner iterations 
 relative error value =       0.99715194E-04


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

  global error =        0.3315979E-02 iter. number =   100 denomin. =        0.1227756E+00

  global error =        0.2429514E-02 iter. number =   200 denomin. =        0.1265262E+00

  global error =        0.1868813E-02 iter. number =   300 denomin. =        0.1336437E+00

  global error =        0.1308477E-02 iter. number =   400 denomin. =        0.1434418E+00

  global error =        0.9853478E-03 iter. number =   500 denomin. =        0.1535277E+00

  global error =        0.6620716E-03 iter. number =   600 denomin. =        0.1614433E+00

  global error =        0.4371010E-03 iter. number =   700 denomin. =        0.1673411E+00

  global error =        0.3244418E-03 iter. number =   800 denomin. =        0.1714875E+00

  global error =        0.2516253E-03 iter. number =   900 denomin. =        0.1746231E+00

  global error =        0.1969748E-03 iter. number =  1000 denomin. =        0.1767760E+00

  global error =        0.1265618E-03 iter. number =  1100 denomin. =        0.1781198E+00

  convergence  for freq. #   185 achieved in  1192 inner iterations 
 relative error value =       0.99805585E-04


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

  global error =        0.4497353E-02 iter. number =   100 denomin. =        0.1829407E+00

  global error =        0.3502300E-02 iter. number =   200 denomin. =        0.1715051E+00

  global error =        0.3005112E-02 iter. number =   300 denomin. =        0.1572724E+00

  global error =        0.2374834E-02 iter. number =   400 denomin. =        0.1426360E+00

  global error =        0.1624401E-02 iter. number =   500 denomin. =        0.1315631E+00

  global error =        0.1065128E-02 iter. number =   600 denomin. =        0.1297798E+00

  global error =        0.8893226E-03 iter. number =   700 denomin. =        0.1332668E+00

  global error =        0.7143260E-03 iter. number =   800 denomin. =        0.1379948E+00

  global error =        0.5185208E-03 iter. number =   900 denomin. =        0.1414855E+00

  global error =        0.3687889E-03 iter. number =  1000 denomin. =        0.1418798E+00

  global error =        0.3163127E-03 iter. number =  1100 denomin. =        0.1400506E+00

  global error =        0.2955520E-03 iter. number =  1200 denomin. =        0.1380323E+00

  global error =        0.2705808E-03 iter. number =  1300 denomin. =        0.1368123E+00

  global error =        0.2471960E-03 iter. number =  1400 denomin. =        0.1365097E+00

  global error =        0.2335561E-03 iter. number =  1500 denomin. =        0.1367468E+00

  global error =        0.2279364E-03 iter. number =  1600 denomin. =        0.1370694E+00

  global error =        0.2229963E-03 iter. number =  1700 denomin. =        0.1372311E+00

  global error =        0.2183775E-03 iter. number =  1800 denomin. =        0.1372245E+00

  global error =        0.2144411E-03 iter. number =  1900 denomin. =        0.1371686E+00

  global error =        0.2113197E-03 iter. number =  2000 denomin. =        0.1371469E+00

  global error =        0.2084926E-03 iter. number =  2100 denomin. =        0.1371619E+00

  global error =        0.2057276E-03 iter. number =  2200 denomin. =        0.1372024E+00

  global error =        0.2030400E-03 iter. number =  2300 denomin. =        0.1372343E+00

  global error =        0.2004526E-03 iter. number =  2400 denomin. =        0.1372358E+00

  global error =        0.1979389E-03 iter. number =  2500 denomin. =        0.1372193E+00

  global error =        0.1954650E-03 iter. number =  2600 denomin. =        0.1371983E+00

  global error =        0.1930342E-03 iter. number =  2700 denomin. =        0.1371813E+00

  global error =        0.1906535E-03 iter. number =  2800 denomin. =        0.1371745E+00

  global error =        0.1883259E-03 iter. number =  2900 denomin. =        0.1371755E+00

  global error =        0.1860489E-03 iter. number =  3000 denomin. =        0.1371794E+00

  global error =        0.1838205E-03 iter. number =  3100 denomin. =        0.1371835E+00

  global error =        0.1816389E-03 iter. number =  3200 denomin. =        0.1371861E+00

  global error =        0.1794990E-03 iter. number =  3300 denomin. =        0.1371865E+00

  global error =        0.1773942E-03 iter. number =  3400 denomin. =        0.1371845E+00

  global error =        0.1753210E-03 iter. number =  3500 denomin. =        0.1371807E+00

  global error =        0.1732792E-03 iter. number =  3600 denomin. =        0.1371758E+00

  global error =        0.1712698E-03 iter. number =  3700 denomin. =        0.1371710E+00

  global error =        0.1692910E-03 iter. number =  3800 denomin. =        0.1371676E+00

  global error =        0.1673434E-03 iter. number =  3900 denomin. =        0.1371660E+00

  global error =        0.1654296E-03 iter. number =  4000 denomin. =        0.1371658E+00

  NO convergence  for freq. #   184 after   4001 inner iterations 
 relative error value reduction =       0.16542961E-03


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

  global error =        0.3496930E-02 iter. number =   100 denomin. =        0.1464698E+00

  global error =        0.2675349E-02 iter. number =   200 denomin. =        0.1567685E+00

  global error =        0.2208622E-02 iter. number =   300 denomin. =        0.1679302E+00

  global error =        0.1765671E-02 iter. number =   400 denomin. =        0.1792083E+00

  global error =        0.1345644E-02 iter. number =   500 denomin. =        0.1873889E+00

  global error =        0.8870662E-03 iter. number =   600 denomin. =        0.1908106E+00

  global error =        0.6349351E-03 iter. number =   700 denomin. =        0.1892523E+00

  global error =        0.5499420E-03 iter. number =   800 denomin. =        0.1860898E+00

  global error =        0.4569906E-03 iter. number =   900 denomin. =        0.1821980E+00

  global error =        0.3813214E-03 iter. number =  1000 denomin. =        0.1782224E+00

  global error =        0.3086319E-03 iter. number =  1100 denomin. =        0.1744653E+00

  global error =        0.2874613E-03 iter. number =  1200 denomin. =        0.1713592E+00

  global error =        0.2691562E-03 iter. number =  1300 denomin. =        0.1689838E+00

  global error =        0.2543305E-03 iter. number =  1400 denomin. =        0.1673982E+00

  global error =        0.2418586E-03 iter. number =  1500 denomin. =        0.1664432E+00

  global error =        0.2336054E-03 iter. number =  1600 denomin. =        0.1660034E+00

  global error =        0.2274326E-03 iter. number =  1700 denomin. =        0.1658276E+00

  global error =        0.2215236E-03 iter. number =  1800 denomin. =        0.1658333E+00

  global error =        0.2162575E-03 iter. number =  1900 denomin. =        0.1659509E+00

  global error =        0.2112773E-03 iter. number =  2000 denomin. =        0.1661246E+00

  global error =        0.2066927E-03 iter. number =  2100 denomin. =        0.1663023E+00

  global error =        0.2022997E-03 iter. number =  2200 denomin. =        0.1664508E+00

  global error =        0.1981245E-03 iter. number =  2300 denomin. =        0.1665604E+00

  global error =        0.1941402E-03 iter. number =  2400 denomin. =        0.1666341E+00

  global error =        0.1903148E-03 iter. number =  2500 denomin. =        0.1666803E+00

  global error =        0.1866114E-03 iter. number =  2600 denomin. =        0.1667083E+00

  global error =        0.1830091E-03 iter. number =  2700 denomin. =        0.1667196E+00

  global error =        0.1795026E-03 iter. number =  2800 denomin. =        0.1667172E+00

  global error =        0.1760869E-03 iter. number =  2900 denomin. =        0.1667081E+00

  global error =        0.1727521E-03 iter. number =  3000 denomin. =        0.1666986E+00

  global error =        0.1694913E-03 iter. number =  3100 denomin. =        0.1666902E+00

  global error =        0.1663044E-03 iter. number =  3200 denomin. =        0.1666818E+00

  global error =        0.1631891E-03 iter. number =  3300 denomin. =        0.1666747E+00

  global error =        0.1601432E-03 iter. number =  3400 denomin. =        0.1666700E+00

  global error =        0.1571653E-03 iter. number =  3500 denomin. =        0.1666668E+00

  global error =        0.1542546E-03 iter. number =  3600 denomin. =        0.1666635E+00

  global error =        0.1514096E-03 iter. number =  3700 denomin. =        0.1666607E+00

  global error =        0.1486286E-03 iter. number =  3800 denomin. =        0.1666600E+00

  global error =        0.1459107E-03 iter. number =  3900 denomin. =        0.1666607E+00

  global error =        0.1432547E-03 iter. number =  4000 denomin. =        0.1666605E+00

  NO convergence  for freq. #   183 after   4001 inner iterations 
 relative error value reduction =       0.14325468E-03


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

  global error =        0.3860540E-02 iter. number =   100 denomin. =        0.1719892E+00

  global error =        0.2769284E-02 iter. number =   200 denomin. =        0.1680553E+00

  global error =        0.2170930E-02 iter. number =   300 denomin. =        0.1651508E+00

  global error =        0.1473927E-02 iter. number =   400 denomin. =        0.1640857E+00

  global error =        0.8605423E-03 iter. number =   500 denomin. =        0.1680350E+00

  global error =        0.7150570E-03 iter. number =   600 denomin. =        0.1761136E+00

  global error =        0.6007152E-03 iter. number =   700 denomin. =        0.1843807E+00

  global error =        0.4292449E-03 iter. number =   800 denomin. =        0.1898074E+00

  global error =        0.2782214E-03 iter. number =   900 denomin. =        0.1917090E+00

  global error =        0.2250719E-03 iter. number =  1000 denomin. =        0.1917048E+00

  global error =        0.2110797E-03 iter. number =  1100 denomin. =        0.1915761E+00

  global error =        0.1824928E-03 iter. number =  1200 denomin. =        0.1916354E+00

  global error =        0.1548321E-03 iter. number =  1300 denomin. =        0.1918523E+00

  global error =        0.1405240E-03 iter. number =  1400 denomin. =        0.1917113E+00

  global error =        0.1345140E-03 iter. number =  1500 denomin. =        0.1912228E+00

  global error =        0.1291121E-03 iter. number =  1600 denomin. =        0.1907162E+00

  global error =        0.1227608E-03 iter. number =  1700 denomin. =        0.1904502E+00

  global error =        0.1177178E-03 iter. number =  1800 denomin. =        0.1903960E+00

  global error =        0.1136845E-03 iter. number =  1900 denomin. =        0.1904031E+00

  global error =        0.1100108E-03 iter. number =  2000 denomin. =        0.1903871E+00

  global error =        0.1063602E-03 iter. number =  2100 denomin. =        0.1903545E+00

  global error =        0.1028942E-03 iter. number =  2200 denomin. =        0.1903296E+00

  convergence  for freq. #   182 achieved in  2289 inner iterations 
 relative error value =       0.99985244E-04


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

  global error =        0.4020723E-02 iter. number =   100 denomin. =        0.2024188E+00

  global error =        0.3248997E-02 iter. number =   200 denomin. =        0.2112614E+00

  global error =        0.2747947E-02 iter. number =   300 denomin. =        0.2220023E+00

  global error =        0.2225952E-02 iter. number =   400 denomin. =        0.2304832E+00

  global error =        0.1639344E-02 iter. number =   500 denomin. =        0.2321440E+00

  global error =        0.1019564E-02 iter. number =   600 denomin. =        0.2235583E+00

  global error =        0.7253266E-03 iter. number =   700 denomin. =        0.2105386E+00

  global error =        0.6327958E-03 iter. number =   800 denomin. =        0.1977792E+00

  global error =        0.4996972E-03 iter. number =   900 denomin. =        0.1881366E+00

  global error =        0.3478205E-03 iter. number =  1000 denomin. =        0.1823711E+00

  global error =        0.2228447E-03 iter. number =  1100 denomin. =        0.1803614E+00

  global error =        0.1863483E-03 iter. number =  1200 denomin. =        0.1803415E+00

  global error =        0.1565483E-03 iter. number =  1300 denomin. =        0.1810803E+00

  global error =        0.1233784E-03 iter. number =  1400 denomin. =        0.1821476E+00

  convergence  for freq. #   181 achieved in  1480 inner iterations 
 relative error value =       0.99822259E-04


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

  global error =        0.3483934E-02 iter. number =   100 denomin. =        0.1897844E+00

  global error =        0.2426109E-02 iter. number =   200 denomin. =        0.1887325E+00

  global error =        0.1849001E-02 iter. number =   300 denomin. =        0.1875849E+00

  global error =        0.1153410E-02 iter. number =   400 denomin. =        0.1905872E+00

  global error =        0.7176321E-03 iter. number =   500 denomin. =        0.1989323E+00

  global error =        0.5629233E-03 iter. number =   600 denomin. =        0.2084310E+00

  global error =        0.4323678E-03 iter. number =   700 denomin. =        0.2164930E+00

  global error =        0.2934598E-03 iter. number =   800 denomin. =        0.2218295E+00

  global error =        0.1821533E-03 iter. number =   900 denomin. =        0.2251797E+00

  global error =        0.1448445E-03 iter. number =  1000 denomin. =        0.2281877E+00

  global error =        0.1222435E-03 iter. number =  1100 denomin. =        0.2307201E+00

  convergence  for freq. #   180 achieved in  1191 inner iterations 
 relative error value =       0.99990806E-04


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

  global error =        0.4217110E-02 iter. number =   100 denomin. =        0.2426047E+00

  global error =        0.3422825E-02 iter. number =   200 denomin. =        0.2452882E+00

  global error =        0.2891439E-02 iter. number =   300 denomin. =        0.2447259E+00

  global error =        0.2359558E-02 iter. number =   400 denomin. =        0.2388062E+00

  global error =        0.1692508E-02 iter. number =   500 denomin. =        0.2281838E+00

  global error =        0.1022912E-02 iter. number =   600 denomin. =        0.2135617E+00

  global error =        0.7729975E-03 iter. number =   700 denomin. =        0.1990082E+00

  global error =        0.6511734E-03 iter. number =   800 denomin. =        0.1902675E+00

  global error =        0.5020819E-03 iter. number =   900 denomin. =        0.1870453E+00

  global error =        0.3137903E-03 iter. number =  1000 denomin. =        0.1877100E+00

  global error =        0.1903505E-03 iter. number =  1100 denomin. =        0.1901116E+00

  global error =        0.1611471E-03 iter. number =  1200 denomin. =        0.1922455E+00

  global error =        0.1373935E-03 iter. number =  1300 denomin. =        0.1934018E+00

  global error =        0.1012019E-03 iter. number =  1400 denomin. =        0.1937593E+00

  convergence  for freq. #   179 achieved in  1404 inner iterations 
 relative error value =       0.99654964E-04


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

  global error =        0.3417413E-02 iter. number =   100 denomin. =        0.2043018E+00

  global error =        0.2520867E-02 iter. number =   200 denomin. =        0.2115409E+00

  global error =        0.1943224E-02 iter. number =   300 denomin. =        0.2264755E+00

  global error =        0.1400553E-02 iter. number =   400 denomin. =        0.2463114E+00

  global error =        0.9879877E-03 iter. number =   500 denomin. =        0.2665480E+00

  global error =        0.6933437E-03 iter. number =   600 denomin. =        0.2830401E+00

  global error =        0.4477843E-03 iter. number =   700 denomin. =        0.2954448E+00

  global error =        0.3598076E-03 iter. number =   800 denomin. =        0.3047985E+00

  global error =        0.2574016E-03 iter. number =   900 denomin. =        0.3118042E+00

  global error =        0.2041987E-03 iter. number =  1000 denomin. =        0.3168216E+00

  global error =        0.1340884E-03 iter. number =  1100 denomin. =        0.3200042E+00

  global error =        0.1037247E-03 iter. number =  1200 denomin. =        0.3221132E+00

  convergence  for freq. #   178 achieved in  1220 inner iterations 
 relative error value =       0.99974518E-04


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

  global error =        0.4760000E-02 iter. number =   100 denomin. =        0.3276393E+00

  global error =        0.3779308E-02 iter. number =   200 denomin. =        0.3043262E+00

  global error =        0.3346815E-02 iter. number =   300 denomin. =        0.2720464E+00

  global error =        0.2675096E-02 iter. number =   400 denomin. =        0.2368263E+00

  global error =        0.1900380E-02 iter. number =   500 denomin. =        0.2076384E+00

  global error =        0.1251300E-02 iter. number =   600 denomin. =        0.1988399E+00

  global error =        0.1037521E-02 iter. number =   700 denomin. =        0.2033022E+00

  global error =        0.7977721E-03 iter. number =   800 denomin. =        0.2119134E+00

  global error =        0.5254078E-03 iter. number =   900 denomin. =        0.2182366E+00

  global error =        0.3303708E-03 iter. number =  1000 denomin. =        0.2187535E+00

  global error =        0.2596915E-03 iter. number =  1100 denomin. =        0.2152920E+00

  global error =        0.2181567E-03 iter. number =  1200 denomin. =        0.2115199E+00

  global error =        0.1507076E-03 iter. number =  1300 denomin. =        0.2094753E+00

  convergence  for freq. #   177 achieved in  1399 inner iterations 
 relative error value =       0.99970690E-04


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

  global error =        0.3230232E-02 iter. number =   100 denomin. =        0.2210990E+00

  global error =        0.2417429E-02 iter. number =   200 denomin. =        0.2364447E+00

  global error =        0.1907469E-02 iter. number =   300 denomin. =        0.2528334E+00

  global error =        0.1494147E-02 iter. number =   400 denomin. =        0.2702185E+00

  global error =        0.1160580E-02 iter. number =   500 denomin. =        0.2845157E+00

  global error =        0.7284098E-03 iter. number =   600 denomin. =        0.2935849E+00

  global error =        0.4818230E-03 iter. number =   700 denomin. =        0.2973777E+00

  global error =        0.3746870E-03 iter. number =   800 denomin. =        0.2981628E+00

  global error =        0.3040245E-03 iter. number =   900 denomin. =        0.2970843E+00

  global error =        0.2255983E-03 iter. number =  1000 denomin. =        0.2951400E+00

  global error =        0.1430721E-03 iter. number =  1100 denomin. =        0.2928798E+00

  global error =        0.1094349E-03 iter. number =  1200 denomin. =        0.2904244E+00

  convergence  for freq. #   176 achieved in  1231 inner iterations 
 relative error value =       0.99996268E-04


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

  global error =        0.4167939E-02 iter. number =   100 denomin. =        0.2957048E+00

  global error =        0.3107048E-02 iter. number =   200 denomin. =        0.2857738E+00

  global error =        0.2477832E-02 iter. number =   300 denomin. =        0.2805936E+00

  global error =        0.1751554E-02 iter. number =   400 denomin. =        0.2786164E+00

  global error =        0.1009305E-02 iter. number =   500 denomin. =        0.2848278E+00

  global error =        0.7580735E-03 iter. number =   600 denomin. =        0.2988951E+00

  global error =        0.5896925E-03 iter. number =   700 denomin. =        0.3139426E+00

  global error =        0.4562636E-03 iter. number =   800 denomin. =        0.3262255E+00

  global error =        0.3084107E-03 iter. number =   900 denomin. =        0.3344050E+00

  global error =        0.1931370E-03 iter. number =  1000 denomin. =        0.3378990E+00

  global error =        0.1349590E-03 iter. number =  1100 denomin. =        0.3388302E+00

  global error =        0.1121721E-03 iter. number =  1200 denomin. =        0.3392790E+00

  convergence  for freq. #   175 achieved in  1261 inner iterations 
 relative error value =       0.99921211E-04


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

  global error =        0.4388829E-02 iter. number =   100 denomin. =        0.3614084E+00

  global error =        0.3600792E-02 iter. number =   200 denomin. =        0.3698124E+00

  global error =        0.3106198E-02 iter. number =   300 denomin. =        0.3791929E+00

  global error =        0.2450855E-02 iter. number =   400 denomin. =        0.3824744E+00

  global error =        0.1780480E-02 iter. number =   500 denomin. =        0.3715702E+00

  global error =        0.1228211E-02 iter. number =   600 denomin. =        0.3421024E+00

  global error =        0.9443042E-03 iter. number =   700 denomin. =        0.3088471E+00

  global error =        0.7454821E-03 iter. number =   800 denomin. =        0.2850533E+00

  global error =        0.5285524E-03 iter. number =   900 denomin. =        0.2731278E+00

  global error =        0.4057056E-03 iter. number =  1000 denomin. =        0.2696631E+00

  global error =        0.2990070E-03 iter. number =  1100 denomin. =        0.2716952E+00

  global error =        0.2105393E-03 iter. number =  1200 denomin. =        0.2756049E+00

  global error =        0.1368600E-03 iter. number =  1300 denomin. =        0.2789861E+00

  global error =        0.1080628E-03 iter. number =  1400 denomin. =        0.2811921E+00

  convergence  for freq. #   174 achieved in  1448 inner iterations 
 relative error value =       0.99945285E-04


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

  global error =        0.3465852E-02 iter. number =   100 denomin. =        0.2918275E+00

  global error =        0.2311681E-02 iter. number =   200 denomin. =        0.2895002E+00

  global error =        0.1624909E-02 iter. number =   300 denomin. =        0.2869801E+00

  global error =        0.1059905E-02 iter. number =   400 denomin. =        0.2921306E+00

  global error =        0.7409544E-03 iter. number =   500 denomin. =        0.3061673E+00

  global error =        0.5511760E-03 iter. number =   600 denomin. =        0.3192419E+00

  global error =        0.4022449E-03 iter. number =   700 denomin. =        0.3289327E+00

  global error =        0.3045380E-03 iter. number =   800 denomin. =        0.3345418E+00

  global error =        0.2640659E-03 iter. number =   900 denomin. =        0.3383898E+00

  global error =        0.2313246E-03 iter. number =  1000 denomin. =        0.3420753E+00

  global error =        0.2070396E-03 iter. number =  1100 denomin. =        0.3443639E+00

  global error =        0.1950117E-03 iter. number =  1200 denomin. =        0.3451053E+00

  global error =        0.1901044E-03 iter. number =  1300 denomin. =        0.3451333E+00

  global error =        0.1859624E-03 iter. number =  1400 denomin. =        0.3450518E+00

  global error =        0.1815420E-03 iter. number =  1500 denomin. =        0.3450965E+00

  global error =        0.1791783E-03 iter. number =  1600 denomin. =        0.3449228E+00

  global error =        0.1773940E-03 iter. number =  1700 denomin. =        0.3446278E+00

  global error =        0.1755515E-03 iter. number =  1800 denomin. =        0.3443760E+00

  global error =        0.1735914E-03 iter. number =  1900 denomin. =        0.3442590E+00

  global error =        0.1717495E-03 iter. number =  2000 denomin. =        0.3442036E+00

  global error =        0.1699754E-03 iter. number =  2100 denomin. =        0.3441445E+00

  global error =        0.1683730E-03 iter. number =  2200 denomin. =        0.3440967E+00

  global error =        0.1668623E-03 iter. number =  2300 denomin. =        0.3440862E+00

  global error =        0.1654202E-03 iter. number =  2400 denomin. =        0.3441085E+00

  global error =        0.1640116E-03 iter. number =  2500 denomin. =        0.3441387E+00

  global error =        0.1626037E-03 iter. number =  2600 denomin. =        0.3441660E+00

  global error =        0.1612089E-03 iter. number =  2700 denomin. =        0.3441974E+00

  global error =        0.1597792E-03 iter. number =  2800 denomin. =        0.3442345E+00

  global error =        0.1582531E-03 iter. number =  2900 denomin. =        0.3442719E+00

  global error =        0.1566682E-03 iter. number =  3000 denomin. =        0.3443035E+00

  global error =        0.1551491E-03 iter. number =  3100 denomin. =        0.3443283E+00

  global error =        0.1537069E-03 iter. number =  3200 denomin. =        0.3443491E+00

  global error =        0.1523217E-03 iter. number =  3300 denomin. =        0.3443672E+00

  global error =        0.1509889E-03 iter. number =  3400 denomin. =        0.3443834E+00

  global error =        0.1497104E-03 iter. number =  3500 denomin. =        0.3443990E+00

  global error =        0.1485263E-03 iter. number =  3600 denomin. =        0.3444154E+00

  global error =        0.1473131E-03 iter. number =  3700 denomin. =        0.3444332E+00

  global error =        0.1460379E-03 iter. number =  3800 denomin. =        0.3444508E+00

  global error =        0.1447071E-03 iter. number =  3900 denomin. =        0.3444661E+00

  global error =        0.1433857E-03 iter. number =  4000 denomin. =        0.3444775E+00

  NO convergence  for freq. #   173 after   4001 inner iterations 
 relative error value reduction =       0.14338569E-03


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

  global error =        0.4103307E-02 iter. number =   100 denomin. =        0.3562392E+00

  global error =        0.3365326E-02 iter. number =   200 denomin. =        0.3697607E+00

  global error =        0.2856410E-02 iter. number =   300 denomin. =        0.3820294E+00

  global error =        0.2320693E-02 iter. number =   400 denomin. =        0.3876884E+00

  global error =        0.1712326E-02 iter. number =   500 denomin. =        0.3820026E+00

  global error =        0.1080685E-02 iter. number =   600 denomin. =        0.3675376E+00

  global error =        0.8269479E-03 iter. number =   700 denomin. =        0.3484078E+00

  global error =        0.7418505E-03 iter. number =   800 denomin. =        0.3307959E+00

  global error =        0.6581266E-03 iter. number =   900 denomin. =        0.3183963E+00

  global error =        0.5632116E-03 iter. number =  1000 denomin. =        0.3127909E+00

  global error =        0.5050621E-03 iter. number =  1100 denomin. =        0.3122905E+00

  global error =        0.4790910E-03 iter. number =  1200 denomin. =        0.3141713E+00

  global error =        0.4589687E-03 iter. number =  1300 denomin. =        0.3167139E+00

  global error =        0.4469454E-03 iter. number =  1400 denomin. =        0.3188355E+00

  global error =        0.4370176E-03 iter. number =  1500 denomin. =        0.3199925E+00

  global error =        0.4287573E-03 iter. number =  1600 denomin. =        0.3203641E+00

  global error =        0.4214340E-03 iter. number =  1700 denomin. =        0.3202081E+00

  global error =        0.4152111E-03 iter. number =  1800 denomin. =        0.3197998E+00

  global error =        0.4093055E-03 iter. number =  1900 denomin. =        0.3194246E+00

  global error =        0.4031734E-03 iter. number =  2000 denomin. =        0.3191681E+00

  global error =        0.3966912E-03 iter. number =  2100 denomin. =        0.3190346E+00

  global error =        0.3900557E-03 iter. number =  2200 denomin. =        0.3190075E+00

  global error =        0.3836478E-03 iter. number =  2300 denomin. =        0.3190303E+00

  global error =        0.3776147E-03 iter. number =  2400 denomin. =        0.3190665E+00

  global error =        0.3720217E-03 iter. number =  2500 denomin. =        0.3191054E+00

  global error =        0.3667460E-03 iter. number =  2600 denomin. =        0.3191354E+00

  global error =        0.3614913E-03 iter. number =  2700 denomin. =        0.3191574E+00

  global error =        0.3560139E-03 iter. number =  2800 denomin. =        0.3191730E+00

  global error =        0.3502842E-03 iter. number =  2900 denomin. =        0.3191763E+00

  global error =        0.3443665E-03 iter. number =  3000 denomin. =        0.3191648E+00

  global error =        0.3384116E-03 iter. number =  3100 denomin. =        0.3191395E+00

  global error =        0.3326156E-03 iter. number =  3200 denomin. =        0.3191051E+00

  global error =        0.3269651E-03 iter. number =  3300 denomin. =        0.3190722E+00

  global error =        0.3214239E-03 iter. number =  3400 denomin. =        0.3190507E+00

  global error =        0.3160565E-03 iter. number =  3500 denomin. =        0.3190447E+00

  global error =        0.3108295E-03 iter. number =  3600 denomin. =        0.3190520E+00

  global error =        0.3058728E-03 iter. number =  3700 denomin. =        0.3190644E+00

  global error =        0.3011930E-03 iter. number =  3800 denomin. =        0.3190730E+00

  global error =        0.2967250E-03 iter. number =  3900 denomin. =        0.3190728E+00

  global error =        0.2923642E-03 iter. number =  4000 denomin. =        0.3190636E+00

  NO convergence  for freq. #   172 after   4001 inner iterations 
 relative error value reduction =       0.29236415E-03


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

  global error =        0.3670920E-02 iter. number =   100 denomin. =        0.3345474E+00

  global error =        0.2838305E-02 iter. number =   200 denomin. =        0.3442532E+00

  global error =        0.2279866E-02 iter. number =   300 denomin. =        0.3650137E+00

  global error =        0.1573945E-02 iter. number =   400 denomin. =        0.3920564E+00

  global error =        0.1120587E-02 iter. number =   500 denomin. =        0.4159168E+00

  global error =        0.8627957E-03 iter. number =   600 denomin. =        0.4333546E+00

  global error =        0.6727647E-03 iter. number =   700 denomin. =        0.4426228E+00

  global error =        0.5865217E-03 iter. number =   800 denomin. =        0.4476238E+00

  global error =        0.5034638E-03 iter. number =   900 denomin. =        0.4491541E+00

  global error =        0.4659451E-03 iter. number =  1000 denomin. =        0.4483953E+00

  global error =        0.4322764E-03 iter. number =  1100 denomin. =        0.4462165E+00

  global error =        0.4152353E-03 iter. number =  1200 denomin. =        0.4435788E+00

  global error =        0.3991908E-03 iter. number =  1300 denomin. =        0.4409512E+00

  global error =        0.3866457E-03 iter. number =  1400 denomin. =        0.4385551E+00

  global error =        0.3763204E-03 iter. number =  1500 denomin. =        0.4364418E+00

  global error =        0.3667434E-03 iter. number =  1600 denomin. =        0.4346906E+00

  global error =        0.3579403E-03 iter. number =  1700 denomin. =        0.4333163E+00

  global error =        0.3492694E-03 iter. number =  1800 denomin. =        0.4322733E+00

  global error =        0.3408593E-03 iter. number =  1900 denomin. =        0.4314919E+00

  global error =        0.3325990E-03 iter. number =  2000 denomin. =        0.4309160E+00

  global error =        0.3247409E-03 iter. number =  2100 denomin. =        0.4305214E+00

  global error =        0.3173086E-03 iter. number =  2200 denomin. =        0.4302502E+00

  global error =        0.3102751E-03 iter. number =  2300 denomin. =        0.4300768E+00

  global error =        0.3035840E-03 iter. number =  2400 denomin. =        0.4299651E+00

  global error =        0.2969358E-03 iter. number =  2500 denomin. =        0.4299008E+00

  global error =        0.2901130E-03 iter. number =  2600 denomin. =        0.4298644E+00

  global error =        0.2830479E-03 iter. number =  2700 denomin. =        0.4298462E+00

  global error =        0.2759107E-03 iter. number =  2800 denomin. =        0.4298396E+00

  global error =        0.2688792E-03 iter. number =  2900 denomin. =        0.4298409E+00

  global error =        0.2622773E-03 iter. number =  3000 denomin. =        0.4298451E+00

  global error =        0.2561680E-03 iter. number =  3100 denomin. =        0.4298476E+00

  global error =        0.2505466E-03 iter. number =  3200 denomin. =        0.4298491E+00

  global error =        0.2453424E-03 iter. number =  3300 denomin. =        0.4298500E+00

  global error =        0.2402946E-03 iter. number =  3400 denomin. =        0.4298491E+00

  global error =        0.2351790E-03 iter. number =  3500 denomin. =        0.4298454E+00

  global error =        0.2299101E-03 iter. number =  3600 denomin. =        0.4298408E+00

  global error =        0.2246174E-03 iter. number =  3700 denomin. =        0.4298369E+00

  global error =        0.2193048E-03 iter. number =  3800 denomin. =        0.4298334E+00

  global error =        0.2140990E-03 iter. number =  3900 denomin. =        0.4298292E+00

  global error =        0.2091224E-03 iter. number =  4000 denomin. =        0.4298247E+00

  NO convergence  for freq. #   171 after   4001 inner iterations 
 relative error value reduction =       0.20912237E-03


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

  global error =        0.4415668E-02 iter. number =   100 denomin. =        0.4367914E+00

  global error =        0.3350297E-02 iter. number =   200 denomin. =        0.3981500E+00

  global error =        0.2755827E-02 iter. number =   300 denomin. =        0.3535214E+00

  global error =        0.2097374E-02 iter. number =   400 denomin. =        0.3214279E+00

  global error =        0.1434806E-02 iter. number =   500 denomin. =        0.3038962E+00

  global error =        0.1061633E-02 iter. number =   600 denomin. =        0.3104327E+00

  global error =        0.8461935E-03 iter. number =   700 denomin. =        0.3256787E+00

  global error =        0.6089325E-03 iter. number =   800 denomin. =        0.3348427E+00

  global error =        0.4712700E-03 iter. number =   900 denomin. =        0.3345662E+00

  global error =        0.4138098E-03 iter. number =  1000 denomin. =        0.3286550E+00

  global error =        0.3781879E-03 iter. number =  1100 denomin. =        0.3231839E+00

  global error =        0.3330736E-03 iter. number =  1200 denomin. =        0.3212461E+00

  global error =        0.3078050E-03 iter. number =  1300 denomin. =        0.3218932E+00

  global error =        0.2937935E-03 iter. number =  1400 denomin. =        0.3233509E+00

  global error =        0.2803876E-03 iter. number =  1500 denomin. =        0.3241474E+00

  global error =        0.2679332E-03 iter. number =  1600 denomin. =        0.3241566E+00

  global error =        0.2579620E-03 iter. number =  1700 denomin. =        0.3239274E+00

  global error =        0.2499821E-03 iter. number =  1800 denomin. =        0.3238333E+00

  global error =        0.2424794E-03 iter. number =  1900 denomin. =        0.3238712E+00

  global error =        0.2353210E-03 iter. number =  2000 denomin. =        0.3239791E+00

  global error =        0.2285237E-03 iter. number =  2100 denomin. =        0.3240215E+00

  global error =        0.2220150E-03 iter. number =  2200 denomin. =        0.3239628E+00

  global error =        0.2153604E-03 iter. number =  2300 denomin. =        0.3238879E+00

  global error =        0.2085709E-03 iter. number =  2400 denomin. =        0.3238475E+00

  global error =        0.2017901E-03 iter. number =  2500 denomin. =        0.3238488E+00

  global error =        0.1951174E-03 iter. number =  2600 denomin. =        0.3238704E+00

  global error =        0.1887981E-03 iter. number =  2700 denomin. =        0.3238873E+00

  global error =        0.1829671E-03 iter. number =  2800 denomin. =        0.3238911E+00

  global error =        0.1775556E-03 iter. number =  2900 denomin. =        0.3238841E+00

  global error =        0.1723514E-03 iter. number =  3000 denomin. =        0.3238741E+00

  global error =        0.1672824E-03 iter. number =  3100 denomin. =        0.3238678E+00

  global error =        0.1623312E-03 iter. number =  3200 denomin. =        0.3238645E+00

  global error =        0.1574781E-03 iter. number =  3300 denomin. =        0.3238643E+00

  global error =        0.1527372E-03 iter. number =  3400 denomin. =        0.3238661E+00

  global error =        0.1481012E-03 iter. number =  3500 denomin. =        0.3238661E+00

  global error =        0.1435807E-03 iter. number =  3600 denomin. =        0.3238655E+00

  global error =        0.1391748E-03 iter. number =  3700 denomin. =        0.3238652E+00

  global error =        0.1348417E-03 iter. number =  3800 denomin. =        0.3238647E+00

  global error =        0.1305618E-03 iter. number =  3900 denomin. =        0.3238653E+00

  global error =        0.1262791E-03 iter. number =  4000 denomin. =        0.3238653E+00

  NO convergence  for freq. #   170 after   4001 inner iterations 
 relative error value reduction =       0.12627915E-03


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

  global error =        0.3372711E-02 iter. number =   100 denomin. =        0.3418453E+00

  global error =        0.2506033E-02 iter. number =   200 denomin. =        0.3692227E+00

  global error =        0.2021519E-02 iter. number =   300 denomin. =        0.4014864E+00

  global error =        0.1639987E-02 iter. number =   400 denomin. =        0.4350306E+00

  global error =        0.1224268E-02 iter. number =   500 denomin. =        0.4644403E+00

  global error =        0.7942447E-03 iter. number =   600 denomin. =        0.4829288E+00

  global error =        0.5617185E-03 iter. number =   700 denomin. =        0.4944443E+00

  global error =        0.4634668E-03 iter. number =   800 denomin. =        0.4996487E+00

  global error =        0.3586698E-03 iter. number =   900 denomin. =        0.4998327E+00

  global error =        0.2916902E-03 iter. number =  1000 denomin. =        0.4975474E+00

  global error =        0.2429321E-03 iter. number =  1100 denomin. =        0.4948812E+00

  global error =        0.2142622E-03 iter. number =  1200 denomin. =        0.4915554E+00

  global error =        0.1871934E-03 iter. number =  1300 denomin. =        0.4877017E+00

  global error =        0.1726176E-03 iter. number =  1400 denomin. =        0.4841984E+00

  global error =        0.1625048E-03 iter. number =  1500 denomin. =        0.4813311E+00

  global error =        0.1535800E-03 iter. number =  1600 denomin. =        0.4790751E+00

  global error =        0.1459663E-03 iter. number =  1700 denomin. =        0.4773501E+00

  global error =        0.1397243E-03 iter. number =  1800 denomin. =        0.4761260E+00

  global error =        0.1344470E-03 iter. number =  1900 denomin. =        0.4752417E+00

  global error =        0.1293254E-03 iter. number =  2000 denomin. =        0.4745996E+00

  global error =        0.1243348E-03 iter. number =  2100 denomin. =        0.4741871E+00

  global error =        0.1197579E-03 iter. number =  2200 denomin. =        0.4739492E+00

  global error =        0.1155994E-03 iter. number =  2300 denomin. =        0.4738284E+00

  global error =        0.1114752E-03 iter. number =  2400 denomin. =        0.4737839E+00

  global error =        0.1073531E-03 iter. number =  2500 denomin. =        0.4737851E+00

  global error =        0.1032306E-03 iter. number =  2600 denomin. =        0.4738058E+00

  convergence  for freq. #   169 achieved in  2677 inner iterations 
 relative error value =       0.99961370E-04


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

  global error =        0.4352885E-02 iter. number =   100 denomin. =        0.4757384E+00

  global error =        0.3367269E-02 iter. number =   200 denomin. =        0.4581710E+00

  global error =        0.2851651E-02 iter. number =   300 denomin. =        0.4409656E+00

  global error =        0.1985670E-02 iter. number =   400 denomin. =        0.4245103E+00

  global error =        0.1258200E-02 iter. number =   500 denomin. =        0.4268258E+00

  global error =        0.9208040E-03 iter. number =   600 denomin. =        0.4440418E+00

  global error =        0.6850044E-03 iter. number =   700 denomin. =        0.4658733E+00

  global error =        0.5297926E-03 iter. number =   800 denomin. =        0.4853673E+00

  global error =        0.4150437E-03 iter. number =   900 denomin. =        0.4984433E+00

  global error =        0.3127785E-03 iter. number =  1000 denomin. =        0.5051079E+00

  global error =        0.2206996E-03 iter. number =  1100 denomin. =        0.5074918E+00

  global error =        0.1832082E-03 iter. number =  1200 denomin. =        0.5092422E+00

  global error =        0.1672147E-03 iter. number =  1300 denomin. =        0.5117676E+00

  global error =        0.1525360E-03 iter. number =  1400 denomin. =        0.5141371E+00

  global error =        0.1356260E-03 iter. number =  1500 denomin. =        0.5155608E+00

  global error =        0.1241183E-03 iter. number =  1600 denomin. =        0.5159673E+00

  global error =        0.1172462E-03 iter. number =  1700 denomin. =        0.5158087E+00

  global error =        0.1116175E-03 iter. number =  1800 denomin. =        0.5155195E+00

  global error =        0.1061617E-03 iter. number =  1900 denomin. =        0.5154073E+00

  global error =        0.1008657E-03 iter. number =  2000 denomin. =        0.5154709E+00

  convergence  for freq. #   168 achieved in  2018 inner iterations 
 relative error value =       0.99978438E-04


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

  global error =        0.4487516E-02 iter. number =   100 denomin. =        0.5421420E+00

  global error =        0.3639925E-02 iter. number =   200 denomin. =        0.5445908E+00

  global error =        0.3104445E-02 iter. number =   300 denomin. =        0.5448885E+00

  global error =        0.2455715E-02 iter. number =   400 denomin. =        0.5354354E+00

  global error =        0.1819320E-02 iter. number =   500 denomin. =        0.5115857E+00

  global error =        0.1254044E-02 iter. number =   600 denomin. =        0.4699632E+00

  global error =        0.9985765E-03 iter. number =   700 denomin. =        0.4255300E+00

  global error =        0.7544151E-03 iter. number =   800 denomin. =        0.3984357E+00

  global error =        0.5401567E-03 iter. number =   900 denomin. =        0.3906196E+00

  global error =        0.4215503E-03 iter. number =  1000 denomin. =        0.3935561E+00

  global error =        0.3422986E-03 iter. number =  1100 denomin. =        0.4012977E+00

  global error =        0.2659868E-03 iter. number =  1200 denomin. =        0.4083520E+00

  global error =        0.1965242E-03 iter. number =  1300 denomin. =        0.4117498E+00

  global error =        0.1710498E-03 iter. number =  1400 denomin. =        0.4119417E+00

  global error =        0.1572362E-03 iter. number =  1500 denomin. =        0.4107109E+00

  global error =        0.1429110E-03 iter. number =  1600 denomin. =        0.4091855E+00

  global error =        0.1288106E-03 iter. number =  1700 denomin. =        0.4080726E+00

  global error =        0.1197672E-03 iter. number =  1800 denomin. =        0.4075683E+00

  global error =        0.1132487E-03 iter. number =  1900 denomin. =        0.4075076E+00

  global error =        0.1075518E-03 iter. number =  2000 denomin. =        0.4076890E+00

  global error =        0.1024545E-03 iter. number =  2100 denomin. =        0.4079318E+00

  convergence  for freq. #   167 achieved in  2152 inner iterations 
 relative error value =       0.99981249E-04


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

  global error =        0.3355534E-02 iter. number =   100 denomin. =        0.4279867E+00

  global error =        0.2254741E-02 iter. number =   200 denomin. =        0.4348508E+00

  global error =        0.1627323E-02 iter. number =   300 denomin. =        0.4482601E+00

  global error =        0.1167436E-02 iter. number =   400 denomin. =        0.4720533E+00

  global error =        0.7942351E-03 iter. number =   500 denomin. =        0.5025504E+00

  global error =        0.5790501E-03 iter. number =   600 denomin. =        0.5297891E+00

  global error =        0.3674716E-03 iter. number =   700 denomin. =        0.5510587E+00

  global error =        0.2990592E-03 iter. number =   800 denomin. =        0.5675701E+00

  global error =        0.2319772E-03 iter. number =   900 denomin. =        0.5803484E+00

  global error =        0.1957555E-03 iter. number =  1000 denomin. =        0.5903986E+00

  global error =        0.1611465E-03 iter. number =  1100 denomin. =        0.5973436E+00

  global error =        0.1396748E-03 iter. number =  1200 denomin. =        0.6016028E+00

  global error =        0.1267903E-03 iter. number =  1300 denomin. =        0.6046453E+00

  global error =        0.1165333E-03 iter. number =  1400 denomin. =        0.6066923E+00

  global error =        0.1089140E-03 iter. number =  1500 denomin. =        0.6080206E+00

  global error =        0.1025354E-03 iter. number =  1600 denomin. =        0.6087356E+00

  convergence  for freq. #   166 achieved in  1649 inner iterations 
 relative error value =       0.99988372E-04


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

  global error =        0.4634435E-02 iter. number =   100 denomin. =        0.6228571E+00

  global error =        0.3774810E-02 iter. number =   200 denomin. =        0.6319564E+00

  global error =        0.3326197E-02 iter. number =   300 denomin. =        0.6311732E+00

  global error =        0.2674937E-02 iter. number =   400 denomin. =        0.6061504E+00

  global error =        0.1886022E-02 iter. number =   500 denomin. =        0.5626962E+00

  global error =        0.1201244E-02 iter. number =   600 denomin. =        0.5170468E+00

  global error =        0.9253859E-03 iter. number =   700 denomin. =        0.4804441E+00

  global error =        0.7866840E-03 iter. number =   800 denomin. =        0.4572091E+00

  global error =        0.5892795E-03 iter. number =   900 denomin. =        0.4509646E+00

  global error =        0.4033065E-03 iter. number =  1000 denomin. =        0.4551008E+00

  global error =        0.2838710E-03 iter. number =  1100 denomin. =        0.4611387E+00

  global error =        0.2399370E-03 iter. number =  1200 denomin. =        0.4657712E+00

  global error =        0.2048352E-03 iter. number =  1300 denomin. =        0.4675081E+00

  global error =        0.1758101E-03 iter. number =  1400 denomin. =        0.4669231E+00

  global error =        0.1530163E-03 iter. number =  1500 denomin. =        0.4656774E+00

  global error =        0.1344947E-03 iter. number =  1600 denomin. =        0.4645732E+00

  global error =        0.1222289E-03 iter. number =  1700 denomin. =        0.4639607E+00

  global error =        0.1148102E-03 iter. number =  1800 denomin. =        0.4639512E+00

  global error =        0.1086173E-03 iter. number =  1900 denomin. =        0.4641919E+00

  global error =        0.1017590E-03 iter. number =  2000 denomin. =        0.4644332E+00

  convergence  for freq. #   165 achieved in  2023 inner iterations 
 relative error value =       0.99970062E-04


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

  global error =        0.3564358E-02 iter. number =   100 denomin. =        0.4821139E+00

  global error =        0.2735940E-02 iter. number =   200 denomin. =        0.4964322E+00

  global error =        0.2145460E-02 iter. number =   300 denomin. =        0.5230309E+00

  global error =        0.1480267E-02 iter. number =   400 denomin. =        0.5568792E+00

  global error =        0.1043180E-02 iter. number =   500 denomin. =        0.5856547E+00

  global error =        0.6983683E-03 iter. number =   600 denomin. =        0.6036284E+00

  global error =        0.4876565E-03 iter. number =   700 denomin. =        0.6105485E+00

  global error =        0.3742052E-03 iter. number =   800 denomin. =        0.6118953E+00

  global error =        0.2881803E-03 iter. number =   900 denomin. =        0.6106792E+00

  global error =        0.2213825E-03 iter. number =  1000 denomin. =        0.6075121E+00

  global error =        0.1626921E-03 iter. number =  1100 denomin. =        0.6032008E+00

  global error =        0.1379638E-03 iter. number =  1200 denomin. =        0.5983741E+00

  global error =        0.1143007E-03 iter. number =  1300 denomin. =        0.5942016E+00

  convergence  for freq. #   164 achieved in  1389 inner iterations 
 relative error value =       0.99920763E-04


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

  global error =        0.4249001E-02 iter. number =   100 denomin. =        0.6008052E+00

  global error =        0.3115674E-02 iter. number =   200 denomin. =        0.5591455E+00

  global error =        0.2462691E-02 iter. number =   300 denomin. =        0.5205200E+00

  global error =        0.1758052E-02 iter. number =   400 denomin. =        0.4962720E+00

  global error =        0.1084316E-02 iter. number =   500 denomin. =        0.4912188E+00

  global error =        0.8142610E-03 iter. number =   600 denomin. =        0.5111548E+00

  global error =        0.6578061E-03 iter. number =   700 denomin. =        0.5369183E+00

  global error =        0.4716089E-03 iter. number =   800 denomin. =        0.5531793E+00

  global error =        0.2953534E-03 iter. number =   900 denomin. =        0.5572741E+00

  global error =        0.2247846E-03 iter. number =  1000 denomin. =        0.5527800E+00

  global error =        0.2017880E-03 iter. number =  1100 denomin. =        0.5478078E+00

  global error =        0.1640086E-03 iter. number =  1200 denomin. =        0.5450950E+00

  global error =        0.1337599E-03 iter. number =  1300 denomin. =        0.5442256E+00

  global error =        0.1141893E-03 iter. number =  1400 denomin. =        0.5438051E+00

  global error =        0.1042526E-03 iter. number =  1500 denomin. =        0.5426959E+00

  convergence  for freq. #   163 achieved in  1550 inner iterations 
 relative error value =       0.99985751E-04


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

  global error =        0.3931971E-02 iter. number =   100 denomin. =        0.5733460E+00

  global error =        0.3045419E-02 iter. number =   200 denomin. =        0.6157195E+00

  global error =        0.2561205E-02 iter. number =   300 denomin. =        0.6605343E+00

  global error =        0.2075601E-02 iter. number =   400 denomin. =        0.7013203E+00

  global error =        0.1518834E-02 iter. number =   500 denomin. =        0.7235052E+00

  global error =        0.9732783E-03 iter. number =   600 denomin. =        0.7181969E+00

  global error =        0.6851499E-03 iter. number =   700 denomin. =        0.6929245E+00

  global error =        0.6046073E-03 iter. number =   800 denomin. =        0.6628045E+00

  global error =        0.4786296E-03 iter. number =   900 denomin. =        0.6326388E+00

  global error =        0.3584688E-03 iter. number =  1000 denomin. =        0.6092043E+00

  global error =        0.2494815E-03 iter. number =  1100 denomin. =        0.5936726E+00

  global error =        0.2152854E-03 iter. number =  1200 denomin. =        0.5845770E+00

  global error =        0.1825934E-03 iter. number =  1300 denomin. =        0.5792963E+00

  global error =        0.1469328E-03 iter. number =  1400 denomin. =        0.5778262E+00

  global error =        0.1202254E-03 iter. number =  1500 denomin. =        0.5787267E+00

  global error =        0.1027954E-03 iter. number =  1600 denomin. =        0.5807686E+00

  convergence  for freq. #   162 achieved in  1630 inner iterations 
 relative error value =       0.99950216E-04


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

  global error =        0.3853370E-02 iter. number =   100 denomin. =        0.5949443E+00

  global error =        0.2770671E-02 iter. number =   200 denomin. =        0.5918396E+00

  global error =        0.2142265E-02 iter. number =   300 denomin. =        0.5944395E+00

  global error =        0.1374532E-02 iter. number =   400 denomin. =        0.6082146E+00

  global error =        0.8226664E-03 iter. number =   500 denomin. =        0.6406126E+00

  global error =        0.6880965E-03 iter. number =   600 denomin. =        0.6783147E+00

  global error =        0.5577419E-03 iter. number =   700 denomin. =        0.7129103E+00

  global error =        0.3859279E-03 iter. number =   800 denomin. =        0.7363804E+00

  global error =        0.2348816E-03 iter. number =   900 denomin. =        0.7506130E+00

  global error =        0.1841030E-03 iter. number =  1000 denomin. =        0.7608897E+00

  global error =        0.1603212E-03 iter. number =  1100 denomin. =        0.7699423E+00

  global error =        0.1367949E-03 iter. number =  1200 denomin. =        0.7774848E+00

  global error =        0.1069059E-03 iter. number =  1300 denomin. =        0.7823661E+00

  convergence  for freq. #   161 achieved in  1333 inner iterations 
 relative error value =       0.99979033E-04


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

  global error =        0.4615352E-02 iter. number =   100 denomin. =        0.8160372E+00

  global error =        0.3713268E-02 iter. number =   200 denomin. =        0.8165065E+00

  global error =        0.3185240E-02 iter. number =   300 denomin. =        0.8095891E+00

  global error =        0.2616029E-02 iter. number =   400 denomin. =        0.7857078E+00

  global error =        0.1953232E-02 iter. number =   500 denomin. =        0.7417170E+00

  global error =        0.1230533E-02 iter. number =   600 denomin. =        0.6835616E+00

  global error =        0.9228583E-03 iter. number =   700 denomin. =        0.6326347E+00

  global error =        0.7806252E-03 iter. number =   800 denomin. =        0.6018160E+00

  global error =        0.6124344E-03 iter. number =   900 denomin. =        0.5925550E+00

  global error =        0.4264759E-03 iter. number =  1000 denomin. =        0.5978402E+00

  global error =        0.2833673E-03 iter. number =  1100 denomin. =        0.6081394E+00

  global error =        0.2324548E-03 iter. number =  1200 denomin. =        0.6163025E+00

  global error =        0.1924478E-03 iter. number =  1300 denomin. =        0.6199835E+00

  global error =        0.1564739E-03 iter. number =  1400 denomin. =        0.6198433E+00

  global error =        0.1249615E-03 iter. number =  1500 denomin. =        0.6175023E+00

  global error =        0.1091703E-03 iter. number =  1600 denomin. =        0.6149090E+00

  convergence  for freq. #   160 achieved in  1692 inner iterations 
 relative error value =       0.99936594E-04


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

  global error =        0.3512121E-02 iter. number =   100 denomin. =        0.6438494E+00

  global error =        0.2504640E-02 iter. number =   200 denomin. =        0.6657217E+00

  global error =        0.1968851E-02 iter. number =   300 denomin. =        0.6989568E+00

  global error =        0.1429408E-02 iter. number =   400 denomin. =        0.7446164E+00

  global error =        0.9953500E-03 iter. number =   500 denomin. =        0.7911231E+00

  global error =        0.6802638E-03 iter. number =   600 denomin. =        0.8282695E+00

  global error =        0.4344119E-03 iter. number =   700 denomin. =        0.8527365E+00

  global error =        0.3421325E-03 iter. number =   800 denomin. =        0.8707327E+00

  global error =        0.2473606E-03 iter. number =   900 denomin. =        0.8831856E+00

  global error =        0.1953474E-03 iter. number =  1000 denomin. =        0.8918361E+00

  global error =        0.1359394E-03 iter. number =  1100 denomin. =        0.8965080E+00

  global error =        0.1139930E-03 iter. number =  1200 denomin. =        0.8987847E+00

  convergence  for freq. #   159 achieved in  1298 inner iterations 
 relative error value =       0.99881633E-04


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

  global error =        0.4663797E-02 iter. number =   100 denomin. =        0.9160520E+00

  global error =        0.3640525E-02 iter. number =   200 denomin. =        0.8737082E+00

  global error =        0.3098730E-02 iter. number =   300 denomin. =        0.8097687E+00

  global error =        0.2422591E-02 iter. number =   400 denomin. =        0.7382268E+00

  global error =        0.1562166E-02 iter. number =   500 denomin. =        0.6846372E+00

  global error =        0.9996907E-03 iter. number =   600 denomin. =        0.6698801E+00

  global error =        0.8259119E-03 iter. number =   700 denomin. =        0.6845129E+00

  global error =        0.6379843E-03 iter. number =   800 denomin. =        0.7079091E+00

  global error =        0.4373491E-03 iter. number =   900 denomin. =        0.7247665E+00

  global error =        0.2744609E-03 iter. number =  1000 denomin. =        0.7263505E+00

  global error =        0.2144132E-03 iter. number =  1100 denomin. =        0.7172856E+00

  global error =        0.1871898E-03 iter. number =  1200 denomin. =        0.7075069E+00

  global error =        0.1534236E-03 iter. number =  1300 denomin. =        0.7023414E+00

  global error =        0.1182080E-03 iter. number =  1400 denomin. =        0.7014150E+00

  convergence  for freq. #   158 achieved in  1493 inner iterations 
 relative error value =       0.99980983E-04


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

  global error =        0.3848113E-02 iter. number =   100 denomin. =        0.7416705E+00

  global error =        0.3040765E-02 iter. number =   200 denomin. =        0.7843464E+00

  global error =        0.2438020E-02 iter. number =   300 denomin. =        0.8427871E+00

  global error =        0.1878554E-02 iter. number =   400 denomin. =        0.9009081E+00

  global error =        0.1332345E-02 iter. number =   500 denomin. =        0.9374145E+00

  global error =        0.8442047E-03 iter. number =   600 denomin. =        0.9401789E+00

  global error =        0.5835526E-03 iter. number =   700 denomin. =        0.9183402E+00

  global error =        0.4998022E-03 iter. number =   800 denomin. =        0.8894226E+00

  global error =        0.3979475E-03 iter. number =   900 denomin. =        0.8626672E+00

  global error =        0.2939477E-03 iter. number =  1000 denomin. =        0.8396995E+00

  global error =        0.1985177E-03 iter. number =  1100 denomin. =        0.8214974E+00

  global error =        0.1678993E-03 iter. number =  1200 denomin. =        0.8084918E+00

  global error =        0.1463490E-03 iter. number =  1300 denomin. =        0.7993440E+00

  global error =        0.1211358E-03 iter. number =  1400 denomin. =        0.7940971E+00

  global error =        0.1009952E-03 iter. number =  1500 denomin. =        0.7921481E+00

  convergence  for freq. #   157 achieved in  1506 inner iterations 
 relative error value =       0.99949032E-04


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

  global error =        0.3910241E-02 iter. number =   100 denomin. =        0.8060647E+00

  global error =        0.2750641E-02 iter. number =   200 denomin. =        0.7729344E+00

  global error =        0.2137875E-02 iter. number =   300 denomin. =        0.7510997E+00

  global error =        0.1365467E-02 iter. number =   400 denomin. =        0.7479011E+00

  global error =        0.8419168E-03 iter. number =   500 denomin. =        0.7767461E+00

  global error =        0.6856138E-03 iter. number =   600 denomin. =        0.8218698E+00

  global error =        0.5646749E-03 iter. number =   700 denomin. =        0.8617919E+00

  global error =        0.4036051E-03 iter. number =   800 denomin. =        0.8868941E+00

  global error =        0.2436165E-03 iter. number =   900 denomin. =        0.8965759E+00

  global error =        0.1933517E-03 iter. number =  1000 denomin. =        0.9023859E+00

  global error =        0.1743413E-03 iter. number =  1100 denomin. =        0.9087881E+00

  global error =        0.1468679E-03 iter. number =  1200 denomin. =        0.9141876E+00

  global error =        0.1132389E-03 iter. number =  1300 denomin. =        0.9169708E+00

  convergence  for freq. #   156 achieved in  1369 inner iterations 
 relative error value =       0.99961821E-04


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

  global error =        0.4284592E-02 iter. number =   100 denomin. =        0.9585979E+00

  global error =        0.3420967E-02 iter. number =   200 denomin. =        0.9949710E+00

  global error =        0.2885312E-02 iter. number =   300 denomin. =        0.1018297E+01

  global error =        0.2360866E-02 iter. number =   400 denomin. =        0.1024962E+01

  global error =        0.1729163E-02 iter. number =   500 denomin. =        0.1003869E+01

  global error =        0.1055671E-02 iter. number =   600 denomin. =        0.9543542E+00

  global error =        0.7512007E-03 iter. number =   700 denomin. =        0.8921544E+00

  global error =        0.6524050E-03 iter. number =   800 denomin. =        0.8413445E+00

  global error =        0.5443954E-03 iter. number =   900 denomin. =        0.8085346E+00

  global error =        0.3814696E-03 iter. number =  1000 denomin. =        0.7967648E+00

  global error =        0.2424876E-03 iter. number =  1100 denomin. =        0.8011867E+00

  global error =        0.1969762E-03 iter. number =  1200 denomin. =        0.8111588E+00

  global error =        0.1662373E-03 iter. number =  1300 denomin. =        0.8206155E+00

  global error =        0.1348504E-03 iter. number =  1400 denomin. =        0.8271899E+00

  global error =        0.1023307E-03 iter. number =  1500 denomin. =        0.8296024E+00

  convergence  for freq. #   155 achieved in  1509 inner iterations 
 relative error value =       0.99993903E-04


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

  global error =        0.3748256E-02 iter. number =   100 denomin. =        0.8731808E+00

  global error =        0.2735494E-02 iter. number =   200 denomin. =        0.9093631E+00

  global error =        0.2099098E-02 iter. number =   300 denomin. =        0.9670360E+00

  global error =        0.1490162E-02 iter. number =   400 denomin. =        0.1044936E+01

  global error =        0.1009645E-02 iter. number =   500 denomin. =        0.1123689E+01

  global error =        0.7778561E-03 iter. number =   600 denomin. =        0.1190284E+01

  global error =        0.5370475E-03 iter. number =   700 denomin. =        0.1236988E+01

  global error =        0.4048067E-03 iter. number =   800 denomin. =        0.1267485E+01

  global error =        0.2616351E-03 iter. number =   900 denomin. =        0.1286675E+01

  global error =        0.2093673E-03 iter. number =  1000 denomin. =        0.1298181E+01

  global error =        0.1587997E-03 iter. number =  1100 denomin. =        0.1304868E+01

  global error =        0.1284855E-03 iter. number =  1200 denomin. =        0.1307542E+01

  global error =        0.1025824E-03 iter. number =  1300 denomin. =        0.1307837E+01

  convergence  for freq. #   154 achieved in  1309 inner iterations 
 relative error value =       0.99975117E-04


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

  global error =        0.4978809E-02 iter. number =   100 denomin. =        0.1324921E+01

  global error =        0.3851459E-02 iter. number =   200 denomin. =        0.1238131E+01

  global error =        0.3355584E-02 iter. number =   300 denomin. =        0.1124788E+01

  global error =        0.2643755E-02 iter. number =   400 denomin. =        0.1003216E+01

  global error =        0.1843759E-02 iter. number =   500 denomin. =        0.9064254E+00

  global error =        0.1194451E-02 iter. number =   600 denomin. =        0.8827988E+00

  global error =        0.9626693E-03 iter. number =   700 denomin. =        0.9088086E+00

  global error =        0.7294995E-03 iter. number =   800 denomin. =        0.9436525E+00

  global error =        0.5125110E-03 iter. number =   900 denomin. =        0.9621247E+00

  global error =        0.3622909E-03 iter. number =  1000 denomin. =        0.9573111E+00

  global error =        0.2845741E-03 iter. number =  1100 denomin. =        0.9397784E+00

  global error =        0.2238644E-03 iter. number =  1200 denomin. =        0.9258770E+00

  global error =        0.1640253E-03 iter. number =  1300 denomin. =        0.9218431E+00

  global error =        0.1311722E-03 iter. number =  1400 denomin. =        0.9251338E+00

  global error =        0.1077221E-03 iter. number =  1500 denomin. =        0.9299637E+00

  convergence  for freq. #   153 achieved in  1542 inner iterations 
 relative error value =       0.99906235E-04


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

  global error =        0.3612631E-02 iter. number =   100 denomin. =        0.9836903E+00

  global error =        0.2700502E-02 iter. number =   200 denomin. =        0.1036176E+01

  global error =        0.2142345E-02 iter. number =   300 denomin. =        0.1104200E+01

  global error =        0.1679046E-02 iter. number =   400 denomin. =        0.1179708E+01

  global error =        0.1273910E-02 iter. number =   500 denomin. =        0.1241099E+01

  global error =        0.7803317E-03 iter. number =   600 denomin. =        0.1271394E+01

  global error =        0.4714421E-03 iter. number =   700 denomin. =        0.1277738E+01

  global error =        0.3895764E-03 iter. number =   800 denomin. =        0.1271974E+01

  global error =        0.3215571E-03 iter. number =   900 denomin. =        0.1260671E+01

  global error =        0.2443283E-03 iter. number =  1000 denomin. =        0.1248401E+01

  global error =        0.1516886E-03 iter. number =  1100 denomin. =        0.1237570E+01

  global error =        0.1194964E-03 iter. number =  1200 denomin. =        0.1227593E+01

  global error =        0.1002326E-03 iter. number =  1300 denomin. =        0.1218218E+01

  convergence  for freq. #   152 achieved in  1302 inner iterations 
 relative error value =       0.99879712E-04


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

  global error =        0.4278506E-02 iter. number =   100 denomin. =        0.1242852E+01

  global error =        0.3203093E-02 iter. number =   200 denomin. =        0.1205031E+01

  global error =        0.2585666E-02 iter. number =   300 denomin. =        0.1174536E+01

  global error =        0.1781637E-02 iter. number =   400 denomin. =        0.1168675E+01

  global error =        0.9695512E-03 iter. number =   500 denomin. =        0.1199192E+01

  global error =        0.6940626E-03 iter. number =   600 denomin. =        0.1260736E+01

  global error =        0.5407184E-03 iter. number =   700 denomin. =        0.1324666E+01

  global error =        0.4260579E-03 iter. number =   800 denomin. =        0.1378949E+01

  global error =        0.3003936E-03 iter. number =   900 denomin. =        0.1416509E+01

  global error =        0.1900683E-03 iter. number =  1000 denomin. =        0.1438112E+01

  global error =        0.1413282E-03 iter. number =  1100 denomin. =        0.1451588E+01

  global error =        0.1213246E-03 iter. number =  1200 denomin. =        0.1462360E+01

  global error =        0.1031437E-03 iter. number =  1300 denomin. =        0.1472401E+01

  convergence  for freq. #   151 achieved in  1315 inner iterations 
 relative error value =       0.99995011E-04


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

  global error =        0.4748395E-02 iter. number =   100 denomin. =        0.1554827E+01

  global error =        0.3847975E-02 iter. number =   200 denomin. =        0.1563574E+01

  global error =        0.3284767E-02 iter. number =   300 denomin. =        0.1538010E+01

  global error =        0.2577195E-02 iter. number =   400 denomin. =        0.1473308E+01

  global error =        0.1869005E-02 iter. number =   500 denomin. =        0.1357574E+01

  global error =        0.1317213E-02 iter. number =   600 denomin. =        0.1203900E+01

  global error =        0.1067410E-02 iter. number =   700 denomin. =        0.1073622E+01

  global error =        0.8232117E-03 iter. number =   800 denomin. =        0.1009976E+01

  global error =        0.5525347E-03 iter. number =   900 denomin. =        0.1002175E+01

  global error =        0.4108418E-03 iter. number =  1000 denomin. =        0.1023572E+01

  global error =        0.3147469E-03 iter. number =  1100 denomin. =        0.1051949E+01

  global error =        0.2300893E-03 iter. number =  1200 denomin. =        0.1071880E+01

  global error =        0.1547365E-03 iter. number =  1300 denomin. =        0.1078435E+01

  global error =        0.1216109E-03 iter. number =  1400 denomin. =        0.1075280E+01

  global error =        0.1046296E-03 iter. number =  1500 denomin. =        0.1068727E+01

  convergence  for freq. #   150 achieved in  1526 inner iterations 
 relative error value =       0.99951138E-04


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

  global error =        0.3427789E-02 iter. number =   100 denomin. =        0.1111655E+01

  global error =        0.2297070E-02 iter. number =   200 denomin. =        0.1140428E+01

  global error =        0.1637011E-02 iter. number =   300 denomin. =        0.1205376E+01

  global error =        0.1190405E-02 iter. number =   400 denomin. =        0.1294312E+01

  global error =        0.8956024E-03 iter. number =   500 denomin. =        0.1399253E+01

  global error =        0.6372421E-03 iter. number =   600 denomin. =        0.1483873E+01

  global error =        0.3946922E-03 iter. number =   700 denomin. =        0.1555356E+01

  global error =        0.2982566E-03 iter. number =   800 denomin. =        0.1608339E+01

  global error =        0.2179953E-03 iter. number =   900 denomin. =        0.1649864E+01

  global error =        0.1733377E-03 iter. number =  1000 denomin. =        0.1683467E+01

  global error =        0.1294561E-03 iter. number =  1100 denomin. =        0.1707342E+01

  global error =        0.1002627E-03 iter. number =  1200 denomin. =        0.1724830E+01

  convergence  for freq. #   149 achieved in  1202 inner iterations 
 relative error value =       0.99906356E-04


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

  global error =        0.4690508E-02 iter. number =   100 denomin. =        0.1783098E+01

  global error =        0.3815773E-02 iter. number =   200 denomin. =        0.1787635E+01

  global error =        0.3304517E-02 iter. number =   300 denomin. =        0.1751998E+01

  global error =        0.2625866E-02 iter. number =   400 denomin. =        0.1662672E+01

  global error =        0.1852206E-02 iter. number =   500 denomin. =        0.1554943E+01

  global error =        0.1186391E-02 iter. number =   600 denomin. =        0.1482269E+01

  global error =        0.8593156E-03 iter. number =   700 denomin. =        0.1449873E+01

  global error =        0.6898779E-03 iter. number =   800 denomin. =        0.1453473E+01

  global error =        0.5371599E-03 iter. number =   900 denomin. =        0.1484691E+01

  global error =        0.3785906E-03 iter. number =  1000 denomin. =        0.1515683E+01

  global error =        0.2597834E-03 iter. number =  1100 denomin. =        0.1531969E+01

  global error =        0.1907519E-03 iter. number =  1200 denomin. =        0.1532467E+01

  global error =        0.1433531E-03 iter. number =  1300 denomin. =        0.1521415E+01

  global error =        0.1205469E-03 iter. number =  1400 denomin. =        0.1508053E+01

  convergence  for freq. #   148 achieved in  1499 inner iterations 
 relative error value =       0.99942061E-04


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

  global error =        0.4127264E-02 iter. number =   100 denomin. =        0.1590080E+01

  global error =        0.3246860E-02 iter. number =   200 denomin. =        0.1672417E+01

  global error =        0.2659447E-02 iter. number =   300 denomin. =        0.1769808E+01

  global error =        0.1984675E-02 iter. number =   400 denomin. =        0.1863735E+01

  global error =        0.1426884E-02 iter. number =   500 denomin. =        0.1902558E+01

  global error =        0.9950594E-03 iter. number =   600 denomin. =        0.1877760E+01

  global error =        0.7345847E-03 iter. number =   700 denomin. =        0.1794338E+01

  global error =        0.5581764E-03 iter. number =   800 denomin. =        0.1712639E+01

  global error =        0.3802276E-03 iter. number =   900 denomin. =        0.1646891E+01

  global error =        0.2960184E-03 iter. number =  1000 denomin. =        0.1599144E+01

  global error =        0.2279689E-03 iter. number =  1100 denomin. =        0.1566086E+01

  global error =        0.1787537E-03 iter. number =  1200 denomin. =        0.1548057E+01

  global error =        0.1232387E-03 iter. number =  1300 denomin. =        0.1542276E+01

  convergence  for freq. #   147 achieved in  1372 inner iterations 
 relative error value =       0.99841669E-04


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

  global error =        0.3884695E-02 iter. number =   100 denomin. =        0.1608196E+01

  global error =        0.2593561E-02 iter. number =   200 denomin. =        0.1583717E+01

  global error =        0.1853204E-02 iter. number =   300 denomin. =        0.1568761E+01

  global error =        0.1236446E-02 iter. number =   400 denomin. =        0.1595900E+01

  global error =        0.7733436E-03 iter. number =   500 denomin. =        0.1669241E+01

  global error =        0.6301989E-03 iter. number =   600 denomin. =        0.1758313E+01

  global error =        0.4092325E-03 iter. number =   700 denomin. =        0.1827974E+01

  global error =        0.2859794E-03 iter. number =   800 denomin. =        0.1857163E+01

  global error =        0.2082815E-03 iter. number =   900 denomin. =        0.1868059E+01

  global error =        0.1754737E-03 iter. number =  1000 denomin. =        0.1872421E+01

  global error =        0.1350286E-03 iter. number =  1100 denomin. =        0.1878815E+01

  convergence  for freq. #   146 achieved in  1170 inner iterations 
 relative error value =       0.99784366E-04


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

  global error =        0.4413671E-02 iter. number =   100 denomin. =        0.1982334E+01

  global error =        0.3503448E-02 iter. number =   200 denomin. =        0.2098544E+01

  global error =        0.2989383E-02 iter. number =   300 denomin. =        0.2239860E+01

  global error =        0.2403864E-02 iter. number =   400 denomin. =        0.2334135E+01

  global error =        0.1738188E-02 iter. number =   500 denomin. =        0.2342689E+01

  global error =        0.1073013E-02 iter. number =   600 denomin. =        0.2264572E+01

  global error =        0.7372433E-03 iter. number =   700 denomin. =        0.2151508E+01

  global error =        0.6301770E-03 iter. number =   800 denomin. =        0.2017327E+01

  global error =        0.4712534E-03 iter. number =   900 denomin. =        0.1905714E+01

  global error =        0.3373908E-03 iter. number =  1000 denomin. =        0.1840134E+01

  global error =        0.2322766E-03 iter. number =  1100 denomin. =        0.1812792E+01

  global error =        0.1770015E-03 iter. number =  1200 denomin. =        0.1810137E+01

  global error =        0.1266682E-03 iter. number =  1300 denomin. =        0.1820928E+01

  convergence  for freq. #   145 achieved in  1398 inner iterations 
 relative error value =       0.99823347E-04


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

  global error =        0.3928438E-02 iter. number =   100 denomin. =        0.1915955E+01

  global error =        0.2969305E-02 iter. number =   200 denomin. =        0.1950748E+01

  global error =        0.2356705E-02 iter. number =   300 denomin. =        0.2012248E+01

  global error =        0.1545856E-02 iter. number =   400 denomin. =        0.2114125E+01

  global error =        0.9565047E-03 iter. number =   500 denomin. =        0.2235521E+01

  global error =        0.6711300E-03 iter. number =   600 denomin. =        0.2335089E+01

  global error =        0.4680033E-03 iter. number =   700 denomin. =        0.2394024E+01

  global error =        0.3647357E-03 iter. number =   800 denomin. =        0.2434102E+01

  global error =        0.2628613E-03 iter. number =   900 denomin. =        0.2458583E+01

  global error =        0.1861227E-03 iter. number =  1000 denomin. =        0.2471034E+01

  global error =        0.1296486E-03 iter. number =  1100 denomin. =        0.2475103E+01

  global error =        0.1087573E-03 iter. number =  1200 denomin. =        0.2473595E+01

  convergence  for freq. #   144 achieved in  1246 inner iterations 
 relative error value =       0.99832605E-04


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

  global error =        0.4718445E-02 iter. number =   100 denomin. =        0.2563539E+01

  global error =        0.3586877E-02 iter. number =   200 denomin. =        0.2408373E+01

  global error =        0.2914535E-02 iter. number =   300 denomin. =        0.2207466E+01

  global error =        0.2206978E-02 iter. number =   400 denomin. =        0.2038870E+01

  global error =        0.1475043E-02 iter. number =   500 denomin. =        0.1935400E+01

  global error =        0.1063924E-02 iter. number =   600 denomin. =        0.1937650E+01

  global error =        0.8396627E-03 iter. number =   700 denomin. =        0.2016456E+01

  global error =        0.5717140E-03 iter. number =   800 denomin. =        0.2085832E+01

  global error =        0.3741445E-03 iter. number =   900 denomin. =        0.2106269E+01

  global error =        0.2827383E-03 iter. number =  1000 denomin. =        0.2083671E+01

  global error =        0.2367233E-03 iter. number =  1100 denomin. =        0.2044624E+01

  global error =        0.1663623E-03 iter. number =  1200 denomin. =        0.2018170E+01

  global error =        0.1147726E-03 iter. number =  1300 denomin. =        0.2012759E+01

  convergence  for freq. #   143 achieved in  1351 inner iterations 
 relative error value =       0.99824430E-04


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

  global error =        0.3878169E-02 iter. number =   100 denomin. =        0.2172042E+01

  global error =        0.2965301E-02 iter. number =   200 denomin. =        0.2356074E+01

  global error =        0.2395980E-02 iter. number =   300 denomin. =        0.2598185E+01

  global error =        0.1863084E-02 iter. number =   400 denomin. =        0.2840346E+01

  global error =        0.1322697E-02 iter. number =   500 denomin. =        0.3034324E+01

  global error =        0.8745422E-03 iter. number =   600 denomin. =        0.3124428E+01

  global error =        0.5633366E-03 iter. number =   700 denomin. =        0.3134081E+01

  global error =        0.4738862E-03 iter. number =   800 denomin. =        0.3090923E+01

  global error =        0.3674421E-03 iter. number =   900 denomin. =        0.3023174E+01

  global error =        0.2722429E-03 iter. number =  1000 denomin. =        0.2956912E+01

  global error =        0.1855480E-03 iter. number =  1100 denomin. =        0.2899786E+01

  global error =        0.1431145E-03 iter. number =  1200 denomin. =        0.2853251E+01

  global error =        0.1150385E-03 iter. number =  1300 denomin. =        0.2813207E+01

  convergence  for freq. #   142 achieved in  1357 inner iterations 
 relative error value =       0.99891840E-04


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

  global error =        0.4483838E-02 iter. number =   100 denomin. =        0.2816908E+01

  global error =        0.3348443E-02 iter. number =   200 denomin. =        0.2704887E+01

  global error =        0.2708943E-02 iter. number =   300 denomin. =        0.2606101E+01

  global error =        0.1804440E-02 iter. number =   400 denomin. =        0.2554053E+01

  global error =        0.1095095E-02 iter. number =   500 denomin. =        0.2646247E+01

  global error =        0.8397098E-03 iter. number =   600 denomin. =        0.2820291E+01

  global error =        0.7061117E-03 iter. number =   700 denomin. =        0.2991231E+01

  global error =        0.5019343E-03 iter. number =   800 denomin. =        0.3107980E+01

  global error =        0.3094454E-03 iter. number =   900 denomin. =        0.3161429E+01

  global error =        0.2088414E-03 iter. number =  1000 denomin. =        0.3188983E+01

  global error =        0.1680206E-03 iter. number =  1100 denomin. =        0.3214542E+01

  global error =        0.1427953E-03 iter. number =  1200 denomin. =        0.3243521E+01

  global error =        0.1027778E-03 iter. number =  1300 denomin. =        0.3267628E+01

  convergence  for freq. #   141 achieved in  1308 inner iterations 
 relative error value =       0.99992427E-04


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

  global error =        0.4692235E-02 iter. number =   100 denomin. =        0.3450339E+01

  global error =        0.3778732E-02 iter. number =   200 denomin. =        0.3515189E+01

  global error =        0.3141018E-02 iter. number =   300 denomin. =        0.3527975E+01

  global error =        0.2499376E-02 iter. number =   400 denomin. =        0.3480889E+01

  global error =        0.1811192E-02 iter. number =   500 denomin. =        0.3355675E+01

  global error =        0.1154505E-02 iter. number =   600 denomin. =        0.3151934E+01

  global error =        0.8195017E-03 iter. number =   700 denomin. =        0.2930663E+01

  global error =        0.6580173E-03 iter. number =   800 denomin. =        0.2788046E+01

  global error =        0.5109964E-03 iter. number =   900 denomin. =        0.2737679E+01

  global error =        0.3569281E-03 iter. number =  1000 denomin. =        0.2745727E+01

  global error =        0.2301559E-03 iter. number =  1100 denomin. =        0.2784138E+01

  global error =        0.1791642E-03 iter. number =  1200 denomin. =        0.2822976E+01

  global error =        0.1364879E-03 iter. number =  1300 denomin. =        0.2842992E+01

  global error =        0.1032786E-03 iter. number =  1400 denomin. =        0.2846915E+01

  convergence  for freq. #   140 achieved in  1412 inner iterations 
 relative error value =       0.99801259E-04


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

  global error =        0.3980241E-02 iter. number =   100 denomin. =        0.3019191E+01

  global error =        0.2779714E-02 iter. number =   200 denomin. =        0.3159260E+01

  global error =        0.2161139E-02 iter. number =   300 denomin. =        0.3386366E+01

  global error =        0.1601331E-02 iter. number =   400 denomin. =        0.3694647E+01

  global error =        0.1136513E-02 iter. number =   500 denomin. =        0.4015107E+01

  global error =        0.8192034E-03 iter. number =   600 denomin. =        0.4272909E+01

  global error =        0.4660813E-03 iter. number =   700 denomin. =        0.4444860E+01

  global error =        0.3704644E-03 iter. number =   800 denomin. =        0.4569471E+01

  global error =        0.2602291E-03 iter. number =   900 denomin. =        0.4661635E+01

  global error =        0.2006513E-03 iter. number =  1000 denomin. =        0.4727529E+01

  global error =        0.1332383E-03 iter. number =  1100 denomin. =        0.4766209E+01

  convergence  for freq. #   139 achieved in  1170 inner iterations 
 relative error value =       0.99875345E-04


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

  global error =        0.5252948E-02 iter. number =   100 denomin. =        0.4855732E+01

  global error =        0.4091811E-02 iter. number =   200 denomin. =        0.4594026E+01

  global error =        0.3568868E-02 iter. number =   300 denomin. =        0.4196521E+01

  global error =        0.2818620E-02 iter. number =   400 denomin. =        0.3717854E+01

  global error =        0.1833919E-02 iter. number =   500 denomin. =        0.3369255E+01

  global error =        0.1084412E-02 iter. number =   600 denomin. =        0.3299911E+01

  global error =        0.8697716E-03 iter. number =   700 denomin. =        0.3404180E+01

  global error =        0.6785333E-03 iter. number =   800 denomin. =        0.3544697E+01

  global error =        0.4673044E-03 iter. number =   900 denomin. =        0.3647056E+01

  global error =        0.2792191E-03 iter. number =  1000 denomin. =        0.3660794E+01

  global error =        0.1930051E-03 iter. number =  1100 denomin. =        0.3620521E+01

  global error =        0.1713439E-03 iter. number =  1200 denomin. =        0.3572156E+01

  global error =        0.1344602E-03 iter. number =  1300 denomin. =        0.3546119E+01

  convergence  for freq. #   138 achieved in  1385 inner iterations 
 relative error value =       0.99723928E-04


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

  global error =        0.4279939E-02 iter. number =   100 denomin. =        0.3778491E+01

  global error =        0.3367668E-02 iter. number =   200 denomin. =        0.4044544E+01

  global error =        0.2708800E-02 iter. number =   300 denomin. =        0.4362717E+01

  global error =        0.2122741E-02 iter. number =   400 denomin. =        0.4653373E+01

  global error =        0.1544700E-02 iter. number =   500 denomin. =        0.4809491E+01

  global error =        0.9808468E-03 iter. number =   600 denomin. =        0.4766631E+01

  global error =        0.6565906E-03 iter. number =   700 denomin. =        0.4559710E+01

  global error =        0.5666004E-03 iter. number =   800 denomin. =        0.4315228E+01

  global error =        0.4554233E-03 iter. number =   900 denomin. =        0.4116982E+01

  global error =        0.3353486E-03 iter. number =  1000 denomin. =        0.3975141E+01

  global error =        0.2059586E-03 iter. number =  1100 denomin. =        0.3884839E+01

  global error =        0.1649008E-03 iter. number =  1200 denomin. =        0.3836063E+01

  global error =        0.1392530E-03 iter. number =  1300 denomin. =        0.3809523E+01

  global error =        0.1096346E-03 iter. number =  1400 denomin. =        0.3801656E+01

  convergence  for freq. #   137 achieved in  1434 inner iterations 
 relative error value =       0.99927343E-04


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

  global error =        0.4091469E-02 iter. number =   100 denomin. =        0.3995762E+01

  global error =        0.2849569E-02 iter. number =   200 denomin. =        0.4023855E+01

  global error =        0.2180701E-02 iter. number =   300 denomin. =        0.4139812E+01

  global error =        0.1419135E-02 iter. number =   400 denomin. =        0.4350694E+01

  global error =        0.8453326E-03 iter. number =   500 denomin. =        0.4667091E+01

  global error =        0.6868388E-03 iter. number =   600 denomin. =        0.5011708E+01

  global error =        0.5032098E-03 iter. number =   700 denomin. =        0.5301347E+01

  global error =        0.3610797E-03 iter. number =   800 denomin. =        0.5512119E+01

  global error =        0.2227079E-03 iter. number =   900 denomin. =        0.5647953E+01

  global error =        0.1618129E-03 iter. number =  1000 denomin. =        0.5751047E+01

  global error =        0.1329588E-03 iter. number =  1100 denomin. =        0.5837178E+01

  global error =        0.1067958E-03 iter. number =  1200 denomin. =        0.5903731E+01

  convergence  for freq. #   136 achieved in  1228 inner iterations 
 relative error value =       0.99875284E-04


  frequency number   135 frequency :       0.10087500E+01
 jw  real sour, imag sour =    135     -0.24465E+00      0.81773E-01

  global error =        0.5005398E-02 iter. number =   100 denomin. =        0.6207371E+01

  global error =        0.4025307E-02 iter. number =   200 denomin. =        0.6210803E+01

  global error =        0.3442427E-02 iter. number =   300 denomin. =        0.6069688E+01

  global error =        0.2795778E-02 iter. number =   400 denomin. =        0.5744167E+01

  global error =        0.1995165E-02 iter. number =   500 denomin. =        0.5314091E+01

  global error =        0.1288120E-02 iter. number =   600 denomin. =        0.4883237E+01

  global error =        0.1008176E-02 iter. number =   700 denomin. =        0.4594539E+01

  global error =        0.8502754E-03 iter. number =   800 denomin. =        0.4487247E+01

  global error =        0.6417428E-03 iter. number =   900 denomin. =        0.4531923E+01

  global error =        0.4220772E-03 iter. number =  1000 denomin. =        0.4627257E+01

  global error =        0.2758220E-03 iter. number =  1100 denomin. =        0.4691137E+01

  global error =        0.2302828E-03 iter. number =  1200 denomin. =        0.4701791E+01

  global error =        0.1853557E-03 iter. number =  1300 denomin. =        0.4679444E+01

  global error =        0.1379966E-03 iter. number =  1400 denomin. =        0.4645960E+01

  convergence  for freq. #   135 achieved in  1495 inner iterations 
 relative error value =       0.99674655E-04


  frequency number   134 frequency :       0.10012500E+01
 jw  real sour, imag sour =    134     -0.25842E+00      0.62807E-01

  global error =        0.3997030E-02 iter. number =   100 denomin. =        0.4928876E+01

  global error =        0.3003413E-02 iter. number =   200 denomin. =        0.5268464E+01

  global error =        0.2315522E-02 iter. number =   300 denomin. =        0.5743619E+01

  global error =        0.1766686E-02 iter. number =   400 denomin. =        0.6289410E+01

  global error =        0.1248209E-02 iter. number =   500 denomin. =        0.6773488E+01

  global error =        0.8862888E-03 iter. number =   600 denomin. =        0.7096468E+01

  global error =        0.5618475E-03 iter. number =   700 denomin. =        0.7240239E+01

  global error =        0.4133262E-03 iter. number =   800 denomin. =        0.7262933E+01

  global error =        0.3061489E-03 iter. number =   900 denomin. =        0.7237701E+01

  global error =        0.2352031E-03 iter. number =  1000 denomin. =        0.7187382E+01

  global error =        0.1661789E-03 iter. number =  1100 denomin. =        0.7119602E+01

  global error =        0.1254433E-03 iter. number =  1200 denomin. =        0.7046758E+01

  global error =        0.1011348E-03 iter. number =  1300 denomin. =        0.6981771E+01

  convergence  for freq. #   134 achieved in  1306 inner iterations 
 relative error value =       0.99840322E-04


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

  global error =        0.4967547E-02 iter. number =   100 denomin. =        0.7093677E+01

  global error =        0.3650807E-02 iter. number =   200 denomin. =        0.6704957E+01

  global error =        0.2989570E-02 iter. number =   300 denomin. =        0.6269173E+01

  global error =        0.2091016E-02 iter. number =   400 denomin. =        0.5912690E+01

  global error =        0.1291073E-02 iter. number =   500 denomin. =        0.5864883E+01

  global error =        0.9193551E-03 iter. number =   600 denomin. =        0.6174549E+01

  global error =        0.7449729E-03 iter. number =   700 denomin. =        0.6576586E+01

  global error =        0.5547855E-03 iter. number =   800 denomin. =        0.6843928E+01

  global error =        0.3408863E-03 iter. number =   900 denomin. =        0.6922309E+01

  global error =        0.2416032E-03 iter. number =  1000 denomin. =        0.6882250E+01

  global error =        0.2041828E-03 iter. number =  1100 denomin. =        0.6848567E+01

  global error =        0.1649186E-03 iter. number =  1200 denomin. =        0.6843478E+01

  global error =        0.1194569E-03 iter. number =  1300 denomin. =        0.6852312E+01

  convergence  for freq. #   133 achieved in  1353 inner iterations 
 relative error value =       0.99756397E-04


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

  global error =        0.4681133E-02 iter. number =   100 denomin. =        0.7229820E+01

  global error =        0.3633208E-02 iter. number =   200 denomin. =        0.7668702E+01

  global error =        0.3016455E-02 iter. number =   300 denomin. =        0.8157693E+01

  global error =        0.2427793E-02 iter. number =   400 denomin. =        0.8563290E+01

  global error =        0.1835124E-02 iter. number =   500 denomin. =        0.8705107E+01

  global error =        0.1158173E-02 iter. number =   600 denomin. =        0.8491717E+01

  global error =        0.6920107E-03 iter. number =   700 denomin. =        0.8025740E+01

  global error =        0.5881783E-03 iter. number =   800 denomin. =        0.7533838E+01

  global error =        0.4927136E-03 iter. number =   900 denomin. =        0.7140561E+01

  global error =        0.3633795E-03 iter. number =  1000 denomin. =        0.6892482E+01

  global error =        0.2078176E-03 iter. number =  1100 denomin. =        0.6804014E+01

  global error =        0.1499686E-03 iter. number =  1200 denomin. =        0.6812271E+01

  global error =        0.1306270E-03 iter. number =  1300 denomin. =        0.6848442E+01

  global error =        0.1120194E-03 iter. number =  1400 denomin. =        0.6892372E+01

  convergence  for freq. #   132 achieved in  1449 inner iterations 
 relative error value =       0.99736962E-04


  frequency number   131 frequency :       0.97875000E+00
 jw  real sour, imag sour =    131     -0.29080E+00     -0.40793E-02

  global error =        0.4353247E-02 iter. number =   100 denomin. =        0.7241421E+01

  global error =        0.3168119E-02 iter. number =   200 denomin. =        0.7370440E+01

  global error =        0.2442048E-02 iter. number =   300 denomin. =        0.7705135E+01

  global error =        0.1691921E-02 iter. number =   400 denomin. =        0.8303546E+01

  global error =        0.1008981E-02 iter. number =   500 denomin. =        0.9016857E+01

  global error =        0.7763460E-03 iter. number =   600 denomin. =        0.9682935E+01

  global error =        0.5001901E-03 iter. number =   700 denomin. =        0.1018602E+02

  global error =        0.3968442E-03 iter. number =   800 denomin. =        0.1057429E+02

  global error =        0.2773964E-03 iter. number =   900 denomin. =        0.1087556E+02

  global error =        0.2037960E-03 iter. number =  1000 denomin. =        0.1110171E+02

  global error =        0.1544485E-03 iter. number =  1100 denomin. =        0.1127270E+02

  global error =        0.1204283E-03 iter. number =  1200 denomin. =        0.1139025E+02

  convergence  for freq. #   131 achieved in  1299 inner iterations 
 relative error value =       0.99905755E-04


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

  global error =        0.5469270E-02 iter. number =   100 denomin. =        0.1180174E+02

  global error =        0.4268453E-02 iter. number =   200 denomin. =        0.1101556E+02

  global error =        0.3735735E-02 iter. number =   300 denomin. =        0.9825925E+01

  global error =        0.3033945E-02 iter. number =   400 denomin. =        0.8525795E+01

  global error =        0.2167549E-02 iter. number =   500 denomin. =        0.7431617E+01

  global error =        0.1393130E-02 iter. number =   600 denomin. =        0.6932239E+01

  global error =        0.1123373E-02 iter. number =   700 denomin. =        0.7020725E+01

  global error =        0.8620850E-03 iter. number =   800 denomin. =        0.7306530E+01

  global error =        0.5554204E-03 iter. number =   900 denomin. =        0.7544106E+01

  global error =        0.3643074E-03 iter. number =  1000 denomin. =        0.7597061E+01

  global error =        0.2629745E-03 iter. number =  1100 denomin. =        0.7487639E+01

  global error =        0.2179041E-03 iter. number =  1200 denomin. =        0.7346104E+01

  global error =        0.1632648E-03 iter. number =  1300 denomin. =        0.7262019E+01

  global error =        0.1158984E-03 iter. number =  1400 denomin. =        0.7249665E+01

  convergence  for freq. #   130 achieved in  1455 inner iterations 
 relative error value =       0.99979368E-04


  frequency number   129 frequency :       0.96375000E+00
 jw  real sour, imag sour =    129     -0.30306E+00     -0.55876E-01

  global error =        0.4126346E-02 iter. number =   100 denomin. =        0.7826036E+01

  global error =        0.3084235E-02 iter. number =   200 denomin. =        0.8597970E+01

  global error =        0.2435087E-02 iter. number =   300 denomin. =        0.9559912E+01

  global error =        0.1865385E-02 iter. number =   400 denomin. =        0.1052711E+02

  global error =        0.1373417E-02 iter. number =   500 denomin. =        0.1129662E+02

  global error =        0.8925946E-03 iter. number =   600 denomin. =        0.1169569E+02

  global error =        0.5411220E-03 iter. number =   700 denomin. =        0.1176670E+02

  global error =        0.4390138E-03 iter. number =   800 denomin. =        0.1160212E+02

  global error =        0.3606793E-03 iter. number =   900 denomin. =        0.1135905E+02

  global error =        0.2850462E-03 iter. number =  1000 denomin. =        0.1111258E+02

  global error =        0.1905676E-03 iter. number =  1100 denomin. =        0.1091448E+02

  global error =        0.1411603E-03 iter. number =  1200 denomin. =        0.1075322E+02

  global error =        0.1123378E-03 iter. number =  1300 denomin. =        0.1061464E+02

  convergence  for freq. #   129 achieved in  1358 inner iterations 
 relative error value =       0.99970561E-04


  frequency number   128 frequency :       0.95625000E+00
 jw  real sour, imag sour =    128     -0.30587E+00     -0.83491E-01

  global error =        0.4715081E-02 iter. number =   100 denomin. =        0.1075229E+02

  global error =        0.3535259E-02 iter. number =   200 denomin. =        0.1054082E+02

  global error =        0.2812745E-02 iter. number =   300 denomin. =        0.1052744E+02

  global error =        0.1943303E-02 iter. number =   400 denomin. =        0.1072657E+02

  global error =        0.1112927E-02 iter. number =   500 denomin. =        0.1134635E+02

  global error =        0.8342715E-03 iter. number =   600 denomin. =        0.1218618E+02

  global error =        0.6623574E-03 iter. number =   700 denomin. =        0.1296413E+02

  global error =        0.5048894E-03 iter. number =   800 denomin. =        0.1355376E+02

  global error =        0.3516871E-03 iter. number =   900 denomin. =        0.1392709E+02

  global error =        0.2151760E-03 iter. number =  1000 denomin. =        0.1414532E+02

  global error =        0.1515940E-03 iter. number =  1100 denomin. =        0.1429632E+02

  global error =        0.1274999E-03 iter. number =  1200 denomin. =        0.1443583E+02

  global error =        0.1079811E-03 iter. number =  1300 denomin. =        0.1456982E+02

  convergence  for freq. #   128 achieved in  1344 inner iterations 
 relative error value =       0.99866331E-04


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

  global error =        0.5237910E-02 iter. number =   100 denomin. =        0.1540873E+02

  global error =        0.4262634E-02 iter. number =   200 denomin. =        0.1514345E+02

  global error =        0.3595713E-02 iter. number =   300 denomin. =        0.1453979E+02

  global error =        0.2839921E-02 iter. number =   400 denomin. =        0.1363206E+02

  global error =        0.1991284E-02 iter. number =   500 denomin. =        0.1249421E+02

  global error =        0.1411832E-02 iter. number =   600 denomin. =        0.1130283E+02

  global error =        0.1150014E-02 iter. number =   700 denomin. =        0.1058220E+02

  global error =        0.8484345E-03 iter. number =   800 denomin. =        0.1048419E+02

  global error =        0.5571039E-03 iter. number =   900 denomin. =        0.1072105E+02

  global error =        0.4205253E-03 iter. number =  1000 denomin. =        0.1099407E+02

  global error =        0.3410365E-03 iter. number =  1100 denomin. =        0.1113563E+02

  global error =        0.2511226E-03 iter. number =  1200 denomin. =        0.1113021E+02

  global error =        0.1685199E-03 iter. number =  1300 denomin. =        0.1104580E+02

  global error =        0.1341673E-03 iter. number =  1400 denomin. =        0.1096174E+02

  global error =        0.1164392E-03 iter. number =  1500 denomin. =        0.1091652E+02

  convergence  for freq. #   127 achieved in  1581 inner iterations 
 relative error value =       0.99875868E-04


  frequency number   126 frequency :       0.94125000E+00
 jw  real sour, imag sour =    126     -0.30408E+00     -0.14122E+00

  global error =        0.4062319E-02 iter. number =   100 denomin. =        0.1158029E+02

  global error =        0.2887755E-02 iter. number =   200 denomin. =        0.1229031E+02

  global error =        0.2173659E-02 iter. number =   300 denomin. =        0.1336303E+02

  global error =        0.1667631E-02 iter. number =   400 denomin. =        0.1468733E+02

  global error =        0.1242529E-02 iter. number =   500 denomin. =        0.1612430E+02

  global error =        0.8728526E-03 iter. number =   600 denomin. =        0.1720167E+02

  global error =        0.4640059E-03 iter. number =   700 denomin. =        0.1798844E+02

  global error =        0.3603026E-03 iter. number =   800 denomin. =        0.1856182E+02

  global error =        0.2700096E-03 iter. number =   900 denomin. =        0.1899075E+02

  global error =        0.2058649E-03 iter. number =  1000 denomin. =        0.1928384E+02

  global error =        0.1403237E-03 iter. number =  1100 denomin. =        0.1945153E+02

  global error =        0.1066358E-03 iter. number =  1200 denomin. =        0.1957390E+02

  convergence  for freq. #   126 achieved in  1269 inner iterations 
 relative error value =       0.99909589E-04


  frequency number   125 frequency :       0.93375000E+00
 jw  real sour, imag sour =    125     -0.29922E+00     -0.17089E+00

  global error =        0.5471689E-02 iter. number =   100 denomin. =        0.1979796E+02

  global error =        0.4322476E-02 iter. number =   200 denomin. =        0.1909735E+02

  global error =        0.3769689E-02 iter. number =   300 denomin. =        0.1783163E+02

  global error =        0.2877572E-02 iter. number =   400 denomin. =        0.1607290E+02

  global error =        0.1906933E-02 iter. number =   500 denomin. =        0.1481321E+02

  global error =        0.1153484E-02 iter. number =   600 denomin. =        0.1471563E+02

  global error =        0.7680653E-03 iter. number =   700 denomin. =        0.1528592E+02

  global error =        0.6133554E-03 iter. number =   800 denomin. =        0.1604725E+02

  global error =        0.4611398E-03 iter. number =   900 denomin. =        0.1670392E+02

  global error =        0.2994649E-03 iter. number =  1000 denomin. =        0.1702109E+02

  global error =        0.2013275E-03 iter. number =  1100 denomin. =        0.1706323E+02

  global error =        0.1625178E-03 iter. number =  1200 denomin. =        0.1700265E+02

  global error =        0.1383002E-03 iter. number =  1300 denomin. =        0.1695506E+02

  global error =        0.1172058E-03 iter. number =  1400 denomin. =        0.1694155E+02

  convergence  for freq. #   125 achieved in  1485 inner iterations 
 relative error value =       0.99974888E-04


  frequency number   124 frequency :       0.92625000E+00
 jw  real sour, imag sour =    124     -0.29158E+00     -0.20080E+00

  global error =        0.5070338E-02 iter. number =   100 denomin. =        0.1790814E+02

  global error =        0.4047011E-02 iter. number =   200 denomin. =        0.1866640E+02

  global error =        0.3357920E-02 iter. number =   300 denomin. =        0.1939960E+02

  global error =        0.2635862E-02 iter. number =   400 denomin. =        0.1973454E+02

  global error =        0.1945075E-02 iter. number =   500 denomin. =        0.1932408E+02

  global error =        0.1334669E-02 iter. number =   600 denomin. =        0.1799948E+02

  global error =        0.9914267E-03 iter. number =   700 denomin. =        0.1604422E+02

  global error =        0.8028950E-03 iter. number =   800 denomin. =        0.1447121E+02

  global error =        0.5811505E-03 iter. number =   900 denomin. =        0.1363026E+02

  global error =        0.4285260E-03 iter. number =  1000 denomin. =        0.1334313E+02

  global error =        0.3011010E-03 iter. number =  1100 denomin. =        0.1337335E+02

  global error =        0.2421046E-03 iter. number =  1200 denomin. =        0.1356910E+02

  global error =        0.1845503E-03 iter. number =  1300 denomin. =        0.1374618E+02

  global error =        0.1440666E-03 iter. number =  1400 denomin. =        0.1386002E+02

  global error =        0.1216352E-03 iter. number =  1500 denomin. =        0.1392110E+02

  global error =        0.1065973E-03 iter. number =  1600 denomin. =        0.1394032E+02

  convergence  for freq. #   124 achieved in  1661 inner iterations 
 relative error value =       0.99972009E-04


  frequency number   123 frequency :       0.91875000E+00
 jw  real sour, imag sour =    123     -0.28108E+00     -0.23068E+00

  global error =        0.4371136E-02 iter. number =   100 denomin. =        0.1468990E+02

  global error =        0.2933829E-02 iter. number =   200 denomin. =        0.1520066E+02

  global error =        0.2118368E-02 iter. number =   300 denomin. =        0.1635895E+02

  global error =        0.1532921E-02 iter. number =   400 denomin. =        0.1801863E+02

  global error =        0.1001050E-02 iter. number =   500 denomin. =        0.2001571E+02

  global error =        0.7522491E-03 iter. number =   600 denomin. =        0.2184656E+02

  global error =        0.4728864E-03 iter. number =   700 denomin. =        0.2336151E+02

  global error =        0.3761688E-03 iter. number =   800 denomin. =        0.2457952E+02

  global error =        0.2791670E-03 iter. number =   900 denomin. =        0.2552976E+02

  global error =        0.2275177E-03 iter. number =  1000 denomin. =        0.2629712E+02

  global error =        0.1818066E-03 iter. number =  1100 denomin. =        0.2689193E+02

  global error =        0.1415916E-03 iter. number =  1200 denomin. =        0.2733730E+02

  global error =        0.1225996E-03 iter. number =  1300 denomin. =        0.2767823E+02

  global error =        0.1052962E-03 iter. number =  1400 denomin. =        0.2793280E+02

  convergence  for freq. #   123 achieved in  1449 inner iterations 
 relative error value =       0.99904745E-04


  frequency number   122 frequency :       0.91125000E+00
 jw  real sour, imag sour =    122     -0.26766E+00     -0.26026E+00

  global error =        0.5598741E-02 iter. number =   100 denomin. =        0.2863021E+02

  global error =        0.4523747E-02 iter. number =   200 denomin. =        0.2820288E+02

  global error =        0.4024285E-02 iter. number =   300 denomin. =        0.2698935E+02

  global error =        0.3306272E-02 iter. number =   400 denomin. =        0.2422896E+02

  global error =        0.2502481E-02 iter. number =   500 denomin. =        0.2098590E+02

  global error =        0.1743642E-02 iter. number =   600 denomin. =        0.1869757E+02

  global error =        0.1368193E-02 iter. number =   700 denomin. =        0.1760798E+02

  global error =        0.1122670E-02 iter. number =   800 denomin. =        0.1749472E+02

  global error =        0.8281540E-03 iter. number =   900 denomin. =        0.1816125E+02

  global error =        0.6023065E-03 iter. number =  1000 denomin. =        0.1891310E+02

  global error =        0.4284077E-03 iter. number =  1100 denomin. =        0.1933915E+02

  global error =        0.3357308E-03 iter. number =  1200 denomin. =        0.1934766E+02

  global error =        0.2641396E-03 iter. number =  1300 denomin. =        0.1909104E+02

  global error =        0.2193655E-03 iter. number =  1400 denomin. =        0.1878711E+02

  global error =        0.1846913E-03 iter. number =  1500 denomin. =        0.1857874E+02

  global error =        0.1527078E-03 iter. number =  1600 denomin. =        0.1851110E+02

  global error =        0.1339833E-03 iter. number =  1700 denomin. =        0.1854893E+02

  global error =        0.1208350E-03 iter. number =  1800 denomin. =        0.1862256E+02

  global error =        0.1127035E-03 iter. number =  1900 denomin. =        0.1868397E+02

  global error =        0.1057857E-03 iter. number =  2000 denomin. =        0.1871168E+02

  global error =        0.1002460E-03 iter. number =  2100 denomin. =        0.1870764E+02

  convergence  for freq. #   122 achieved in  2106 inner iterations 
 relative error value =       0.99974910E-04


  frequency number   121 frequency :       0.90375000E+00
 jw  real sour, imag sour =    121     -0.25129E+00     -0.28926E+00

  global error =        0.4483141E-02 iter. number =   100 denomin. =        0.1976360E+02

  global error =        0.3511480E-02 iter. number =   200 denomin. =        0.2118051E+02

  global error =        0.2780632E-02 iter. number =   300 denomin. =        0.2291350E+02

  global error =        0.2069071E-02 iter. number =   400 denomin. =        0.2452269E+02

  global error =        0.1446580E-02 iter. number =   500 denomin. =        0.2535786E+02

  global error =        0.9806592E-03 iter. number =   600 denomin. =        0.2528623E+02

  global error =        0.6812341E-03 iter. number =   700 denomin. =        0.2425334E+02

  global error =        0.5491761E-03 iter. number =   800 denomin. =        0.2300982E+02

  global error =        0.4299193E-03 iter. number =   900 denomin. =        0.2198688E+02

  global error =        0.3202343E-03 iter. number =  1000 denomin. =        0.2132750E+02

  global error =        0.2434765E-03 iter. number =  1100 denomin. =        0.2095193E+02

  global error =        0.2070178E-03 iter. number =  1200 denomin. =        0.2077525E+02

  global error =        0.1719773E-03 iter. number =  1300 denomin. =        0.2071565E+02

  global error =        0.1459158E-03 iter. number =  1400 denomin. =        0.2075410E+02

  global error =        0.1301753E-03 iter. number =  1500 denomin. =        0.2083817E+02

  global error =        0.1209089E-03 iter. number =  1600 denomin. =        0.2093248E+02

  global error =        0.1130469E-03 iter. number =  1700 denomin. =        0.2100549E+02

  global error =        0.1058540E-03 iter. number =  1800 denomin. =        0.2104782E+02

  global error =        0.1005191E-03 iter. number =  1900 denomin. =        0.2106462E+02

  convergence  for freq. #   121 achieved in  1912 inner iterations 
 relative error value =       0.99965276E-04


  frequency number   120 frequency :       0.89625000E+00
 jw  real sour, imag sour =    120     -0.23196E+00     -0.31739E+00

  global error =        0.4488551E-02 iter. number =   100 denomin. =        0.2227976E+02

  global error =        0.3146950E-02 iter. number =   200 denomin. =        0.2262236E+02

  global error =        0.2278298E-02 iter. number =   300 denomin. =        0.2352580E+02

  global error =        0.1549928E-02 iter. number =   400 denomin. =        0.2508927E+02

  global error =        0.9538189E-03 iter. number =   500 denomin. =        0.2724632E+02

  global error =        0.8422848E-03 iter. number =   600 denomin. =        0.2967873E+02

  global error =        0.5799044E-03 iter. number =   700 denomin. =        0.3176221E+02

  global error =        0.3786542E-03 iter. number =   800 denomin. =        0.3299165E+02

  global error =        0.2381728E-03 iter. number =   900 denomin. =        0.3368546E+02

  global error =        0.2001565E-03 iter. number =  1000 denomin. =        0.3413667E+02

  global error =        0.1769090E-03 iter. number =  1100 denomin. =        0.3459661E+02

  global error =        0.1320496E-03 iter. number =  1200 denomin. =        0.3489484E+02

  global error =        0.1094093E-03 iter. number =  1300 denomin. =        0.3500532E+02

  convergence  for freq. #   120 achieved in  1385 inner iterations 
 relative error value =       0.99953043E-04


  frequency number   119 frequency :       0.88875000E+00
 jw  real sour, imag sour =    119     -0.20971E+00     -0.34437E+00

  global error =        0.5474297E-02 iter. number =   100 denomin. =        0.3635782E+02

  global error =        0.4409254E-02 iter. number =   200 denomin. =        0.3721692E+02

  global error =        0.3798449E-02 iter. number =   300 denomin. =        0.3777616E+02

  global error =        0.3057868E-02 iter. number =   400 denomin. =        0.3679235E+02

  global error =        0.2189249E-02 iter. number =   500 denomin. =        0.3416934E+02

  global error =        0.1386149E-02 iter. number =   600 denomin. =        0.3069706E+02

  global error =        0.9447855E-03 iter. number =   700 denomin. =        0.2803376E+02

  global error =        0.8147649E-03 iter. number =   800 denomin. =        0.2646856E+02

  global error =        0.6309360E-03 iter. number =   900 denomin. =        0.2606404E+02

  global error =        0.4154547E-03 iter. number =  1000 denomin. =        0.2644151E+02

  global error =        0.2625329E-03 iter. number =  1100 denomin. =        0.2693394E+02

  global error =        0.2189480E-03 iter. number =  1200 denomin. =        0.2721286E+02

  global error =        0.1896777E-03 iter. number =  1300 denomin. =        0.2730734E+02

  global error =        0.1511199E-03 iter. number =  1400 denomin. =        0.2726090E+02

  global error =        0.1213853E-03 iter. number =  1500 denomin. =        0.2715442E+02

  global error =        0.1065498E-03 iter. number =  1600 denomin. =        0.2708760E+02

  convergence  for freq. #   119 achieved in  1685 inner iterations 
 relative error value =       0.99970405E-04


  frequency number   118 frequency :       0.88125000E+00
 jw  real sour, imag sour =    118     -0.18457E+00     -0.36989E+00

  global error =        0.4465314E-02 iter. number =   100 denomin. =        0.2770806E+02

  global error =        0.3328582E-02 iter. number =   200 denomin. =        0.2844926E+02

  global error =        0.2533780E-02 iter. number =   300 denomin. =        0.2980701E+02

  global error =        0.1801064E-02 iter. number =   400 denomin. =        0.3201842E+02

  global error =        0.1327871E-02 iter. number =   500 denomin. =        0.3439343E+02

  global error =        0.9622216E-03 iter. number =   600 denomin. =        0.3614095E+02

  global error =        0.5812914E-03 iter. number =   700 denomin. =        0.3715975E+02

  global error =        0.4220474E-03 iter. number =   800 denomin. =        0.3777231E+02

  global error =        0.3215557E-03 iter. number =   900 denomin. =        0.3818474E+02

  global error =        0.2652130E-03 iter. number =  1000 denomin. =        0.3842090E+02

  global error =        0.1893816E-03 iter. number =  1100 denomin. =        0.3850427E+02

  global error =        0.1404718E-03 iter. number =  1200 denomin. =        0.3845229E+02

  global error =        0.1173539E-03 iter. number =  1300 denomin. =        0.3837006E+02

  global error =        0.1047277E-03 iter. number =  1400 denomin. =        0.3828220E+02

  convergence  for freq. #   118 achieved in  1445 inner iterations 
 relative error value =       0.99986640E-04


  frequency number   117 frequency :       0.87375000E+00
 jw  real sour, imag sour =    117     -0.15663E+00     -0.39366E+00

  global error =        0.5344836E-02 iter. number =   100 denomin. =        0.3896369E+02

  global error =        0.4000839E-02 iter. number =   200 denomin. =        0.3621559E+02

  global error =        0.3266449E-02 iter. number =   300 denomin. =        0.3330087E+02

  global error =        0.2359966E-02 iter. number =   400 denomin. =        0.3138368E+02

  global error =        0.1331356E-02 iter. number =   500 denomin. =        0.3102344E+02

  global error =        0.8634451E-03 iter. number =   600 denomin. =        0.3247252E+02

  global error =        0.6483804E-03 iter. number =   700 denomin. =        0.3467281E+02

  global error =        0.5098858E-03 iter. number =   800 denomin. =        0.3647929E+02

  global error =        0.3558287E-03 iter. number =   900 denomin. =        0.3769461E+02

  global error =        0.2259241E-03 iter. number =  1000 denomin. =        0.3821212E+02

  global error =        0.1795572E-03 iter. number =  1100 denomin. =        0.3837253E+02

  global error =        0.1494672E-03 iter. number =  1200 denomin. =        0.3836515E+02

  global error =        0.1317778E-03 iter. number =  1300 denomin. =        0.3831958E+02

  global error =        0.1066669E-03 iter. number =  1400 denomin. =        0.3826567E+02

  convergence  for freq. #   117 achieved in  1433 inner iterations 
 relative error value =       0.99924709E-04


  frequency number   116 frequency :       0.86625000E+00
 jw  real sour, imag sour =    116     -0.12600E+00     -0.41538E+00

  global error =        0.5430076E-02 iter. number =   100 denomin. =        0.4060234E+02

  global error =        0.4200100E-02 iter. number =   200 denomin. =        0.4342545E+02

  global error =        0.3561567E-02 iter. number =   300 denomin. =        0.4596162E+02

  global error =        0.2893351E-02 iter. number =   400 denomin. =        0.4714147E+02

  global error =        0.2144951E-02 iter. number =   500 denomin. =        0.4614827E+02

  global error =        0.1456140E-02 iter. number =   600 denomin. =        0.4247558E+02

  global error =        0.1043763E-02 iter. number =   700 denomin. =        0.3770477E+02

  global error =        0.9773938E-03 iter. number =   800 denomin. =        0.3327398E+02

  global error =        0.7945376E-03 iter. number =   900 denomin. =        0.3018795E+02

  global error =        0.5919994E-03 iter. number =  1000 denomin. =        0.2875356E+02

  global error =        0.3977889E-03 iter. number =  1100 denomin. =        0.2855634E+02

  global error =        0.3137793E-03 iter. number =  1200 denomin. =        0.2905822E+02

  global error =        0.2579035E-03 iter. number =  1300 denomin. =        0.2974352E+02

  global error =        0.1982350E-03 iter. number =  1400 denomin. =        0.3035032E+02

  global error =        0.1549841E-03 iter. number =  1500 denomin. =        0.3073922E+02

  global error =        0.1213064E-03 iter. number =  1600 denomin. =        0.3089706E+02

  global error =        0.1061391E-03 iter. number =  1700 denomin. =        0.3088887E+02

  convergence  for freq. #   116 achieved in  1746 inner iterations 
 relative error value =       0.99882209E-04


  frequency number   115 frequency :       0.85875000E+00
 jw  real sour, imag sour =    115     -0.92836E-01     -0.43476E+00

  global error =        0.4644210E-02 iter. number =   100 denomin. =        0.3184778E+02

  global error =        0.3277504E-02 iter. number =   200 denomin. =        0.3330253E+02

  global error =        0.2410379E-02 iter. number =   300 denomin. =        0.3591441E+02

  global error =        0.1698910E-02 iter. number =   400 denomin. =        0.3941985E+02

  global error =        0.1114930E-02 iter. number =   500 denomin. =        0.4340117E+02

  global error =        0.8315045E-03 iter. number =   600 denomin. =        0.4675914E+02

  global error =        0.5858278E-03 iter. number =   700 denomin. =        0.4930484E+02

  global error =        0.4128007E-03 iter. number =   800 denomin. =        0.5090731E+02

  global error =        0.2963814E-03 iter. number =   900 denomin. =        0.5199169E+02

  global error =        0.2254303E-03 iter. number =  1000 denomin. =        0.5274562E+02

  global error =        0.1726091E-03 iter. number =  1100 denomin. =        0.5327972E+02

  global error =        0.1380977E-03 iter. number =  1200 denomin. =        0.5358991E+02

  global error =        0.1111094E-03 iter. number =  1300 denomin. =        0.5373204E+02

  convergence  for freq. #   115 achieved in  1354 inner iterations 
 relative error value =       0.99982446E-04


  frequency number   114 frequency :       0.85125000E+00
 jw  real sour, imag sour =    114     -0.57298E-01     -0.45152E+00

  global error =        0.5523494E-02 iter. number =   100 denomin. =        0.5480370E+02

  global error =        0.4371132E-02 iter. number =   200 denomin. =        0.5225243E+02

  global error =        0.3712620E-02 iter. number =   300 denomin. =        0.4913596E+02

  global error =        0.2927403E-02 iter. number =   400 denomin. =        0.4532627E+02

  global error =        0.2032017E-02 iter. number =   500 denomin. =        0.4268721E+02

  global error =        0.1397498E-02 iter. number =   600 denomin. =        0.4246783E+02

  global error =        0.1140971E-02 iter. number =   700 denomin. =        0.4437880E+02

  global error =        0.9033160E-03 iter. number =   800 denomin. =        0.4702878E+02

  global error =        0.6399905E-03 iter. number =   900 denomin. =        0.4902054E+02

  global error =        0.4490699E-03 iter. number =  1000 denomin. =        0.4958031E+02

  global error =        0.3364420E-03 iter. number =  1100 denomin. =        0.4897945E+02

  global error =        0.2826229E-03 iter. number =  1200 denomin. =        0.4807901E+02

  global error =        0.2229619E-03 iter. number =  1300 denomin. =        0.4757699E+02

  global error =        0.1712589E-03 iter. number =  1400 denomin. =        0.4757508E+02

  global error =        0.1334414E-03 iter. number =  1500 denomin. =        0.4779328E+02

  global error =        0.1085502E-03 iter. number =  1600 denomin. =        0.4796426E+02

  convergence  for freq. #   114 achieved in  1652 inner iterations 
 relative error value =       0.99866637E-04


  frequency number   113 frequency :       0.84375000E+00
 jw  real sour, imag sour =    113     -0.19593E-01     -0.46539E+00

  global error =        0.4945549E-02 iter. number =   100 denomin. =        0.5085553E+02

  global error =        0.3873587E-02 iter. number =   200 denomin. =        0.5408206E+02

  global error =        0.3179937E-02 iter. number =   300 denomin. =        0.5810806E+02

  global error =        0.2461329E-02 iter. number =   400 denomin. =        0.6153460E+02

  global error =        0.1770393E-02 iter. number =   500 denomin. =        0.6275319E+02

  global error =        0.1190892E-02 iter. number =   600 denomin. =        0.6107812E+02

  global error =        0.7584138E-03 iter. number =   700 denomin. =        0.5720027E+02

  global error =        0.6005561E-03 iter. number =   800 denomin. =        0.5325192E+02

  global error =        0.4615092E-03 iter. number =   900 denomin. =        0.5053411E+02

  global error =        0.3397809E-03 iter. number =  1000 denomin. =        0.4919575E+02

  global error =        0.2379052E-03 iter. number =  1100 denomin. =        0.4887312E+02

  global error =        0.1872662E-03 iter. number =  1200 denomin. =        0.4918318E+02

  global error =        0.1428820E-03 iter. number =  1300 denomin. =        0.4962288E+02

  global error =        0.1091889E-03 iter. number =  1400 denomin. =        0.4997247E+02

  convergence  for freq. #   113 achieved in  1445 inner iterations 
 relative error value =       0.99903353E-04


  frequency number   112 frequency :       0.83625000E+00
 jw  real sour, imag sour =    112      0.20044E-01     -0.47612E+00

  global error =        0.4747519E-02 iter. number =   100 denomin. =        0.5166320E+02

  global error =        0.3465615E-02 iter. number =   200 denomin. =        0.5152324E+02

  global error =        0.2543126E-02 iter. number =   300 denomin. =        0.5208243E+02

  global error =        0.1702254E-02 iter. number =   400 denomin. =        0.5453917E+02

  global error =        0.1038843E-02 iter. number =   500 denomin. =        0.5873826E+02

  global error =        0.8552915E-03 iter. number =   600 denomin. =        0.6342948E+02

  global error =        0.5983682E-03 iter. number =   700 denomin. =        0.6712563E+02

  global error =        0.3860247E-03 iter. number =   800 denomin. =        0.6953746E+02

  global error =        0.2557196E-03 iter. number =   900 denomin. =        0.7119981E+02

  global error =        0.2050401E-03 iter. number =  1000 denomin. =        0.7268220E+02

  global error =        0.1739289E-03 iter. number =  1100 denomin. =        0.7397620E+02

  global error =        0.1208980E-03 iter. number =  1200 denomin. =        0.7480219E+02

  convergence  for freq. #   112 achieved in  1260 inner iterations 
 relative error value =       0.99928789E-04


  frequency number   111 frequency :       0.82875000E+00
 jw  real sour, imag sour =    111      0.61352E-01     -0.48347E+00

  global error =        0.5690968E-02 iter. number =   100 denomin. =        0.7742660E+02

  global error =        0.4544666E-02 iter. number =   200 denomin. =        0.7646543E+02

  global error =        0.3904070E-02 iter. number =   300 denomin. =        0.7304737E+02

  global error =        0.3145719E-02 iter. number =   400 denomin. =        0.6736236E+02

  global error =        0.2180725E-02 iter. number =   500 denomin. =        0.6058316E+02

  global error =        0.1311578E-02 iter. number =   600 denomin. =        0.5487081E+02

  global error =        0.8692829E-03 iter. number =   700 denomin. =        0.5240520E+02

  global error =        0.7095392E-03 iter. number =   800 denomin. =        0.5181053E+02

  global error =        0.5195605E-03 iter. number =   900 denomin. =        0.5216814E+02

  global error =        0.3189123E-03 iter. number =  1000 denomin. =        0.5265293E+02

  global error =        0.2030774E-03 iter. number =  1100 denomin. =        0.5245061E+02

  global error =        0.1708278E-03 iter. number =  1200 denomin. =        0.5189307E+02

  global error =        0.1476689E-03 iter. number =  1300 denomin. =        0.5150981E+02

  global error =        0.1170674E-03 iter. number =  1400 denomin. =        0.5133303E+02

  convergence  for freq. #   111 achieved in  1462 inner iterations 
 relative error value =       0.99960172E-04


  frequency number   110 frequency :       0.82125000E+00
 jw  real sour, imag sour =    110      0.10404E+00     -0.48724E+00

  global error =        0.4833066E-02 iter. number =   100 denomin. =        0.5380541E+02

  global error =        0.3566691E-02 iter. number =   200 denomin. =        0.5811139E+02

  global error =        0.2824160E-02 iter. number =   300 denomin. =        0.6424976E+02

  global error =        0.2138024E-02 iter. number =   400 denomin. =        0.7088523E+02

  global error =        0.1595090E-02 iter. number =   500 denomin. =        0.7627411E+02

  global error =        0.1075454E-02 iter. number =   600 denomin. =        0.7896488E+02

  global error =        0.6047245E-03 iter. number =   700 denomin. =        0.7914048E+02

  global error =        0.5287898E-03 iter. number =   800 denomin. =        0.7801987E+02

  global error =        0.4420239E-03 iter. number =   900 denomin. =        0.7652371E+02

  global error =        0.3573451E-03 iter. number =  1000 denomin. =        0.7485743E+02

  global error =        0.2366419E-03 iter. number =  1100 denomin. =        0.7331097E+02

  global error =        0.1759955E-03 iter. number =  1200 denomin. =        0.7199434E+02

  global error =        0.1477584E-03 iter. number =  1300 denomin. =        0.7076891E+02

  global error =        0.1202199E-03 iter. number =  1400 denomin. =        0.6974304E+02

  convergence  for freq. #   110 achieved in  1498 inner iterations 
 relative error value =       0.99848065E-04


  frequency number   109 frequency :       0.81375000E+00
 jw  real sour, imag sour =    109      0.14780E+00     -0.48723E+00

  global error =        0.5340802E-02 iter. number =   100 denomin. =        0.6885644E+02

  global error =        0.3859469E-02 iter. number =   200 denomin. =        0.6504866E+02

  global error =        0.3050808E-02 iter. number =   300 denomin. =        0.6312351E+02

  global error =        0.2134037E-02 iter. number =   400 denomin. =        0.6405763E+02

  global error =        0.1157330E-02 iter. number =   500 denomin. =        0.6851114E+02

  global error =        0.8657299E-03 iter. number =   600 denomin. =        0.7504050E+02

  global error =        0.6685799E-03 iter. number =   700 denomin. =        0.8113949E+02

  global error =        0.5208487E-03 iter. number =   800 denomin. =        0.8617756E+02

  global error =        0.3693095E-03 iter. number =   900 denomin. =        0.8977639E+02

  global error =        0.2392709E-03 iter. number =  1000 denomin. =        0.9245304E+02

  global error =        0.1780493E-03 iter. number =  1100 denomin. =        0.9459598E+02

  global error =        0.1377452E-03 iter. number =  1200 denomin. =        0.9631209E+02

  global error =        0.1187577E-03 iter. number =  1300 denomin. =        0.9779450E+02

  convergence  for freq. #   109 achieved in  1376 inner iterations 
 relative error value =       0.99826906E-04


  frequency number   108 frequency :       0.80625000E+00
 jw  real sour, imag sour =    108      0.19229E+00     -0.48328E+00

  global error =        0.5817842E-02 iter. number =   100 denomin. =        0.1032761E+03

  global error =        0.4674672E-02 iter. number =   200 denomin. =        0.1014032E+03

  global error =        0.4092259E-02 iter. number =   300 denomin. =        0.9644009E+02

  global error =        0.3480674E-02 iter. number =   400 denomin. =        0.8854712E+02

  global error =        0.2666246E-02 iter. number =   500 denomin. =        0.7859227E+02

  global error =        0.1952350E-02 iter. number =   600 denomin. =        0.6803244E+02

  global error =        0.1625855E-02 iter. number =   700 denomin. =        0.6109702E+02

  global error =        0.1382335E-02 iter. number =   800 denomin. =        0.5867454E+02

  global error =        0.1015398E-02 iter. number =   900 denomin. =        0.6012642E+02

  global error =        0.7375732E-03 iter. number =  1000 denomin. =        0.6297397E+02

  global error =        0.5383274E-03 iter. number =  1100 denomin. =        0.6499397E+02

  global error =        0.4354094E-03 iter. number =  1200 denomin. =        0.6539137E+02

  global error =        0.3436644E-03 iter. number =  1300 denomin. =        0.6467732E+02

  global error =        0.2613351E-03 iter. number =  1400 denomin. =        0.6351132E+02

  global error =        0.2053365E-03 iter. number =  1500 denomin. =        0.6256281E+02

  global error =        0.1591391E-03 iter. number =  1600 denomin. =        0.6219191E+02

  global error =        0.1287406E-03 iter. number =  1700 denomin. =        0.6231917E+02

  global error =        0.1014349E-03 iter. number =  1800 denomin. =        0.6266839E+02

  convergence  for freq. #   108 achieved in  1806 inner iterations 
 relative error value =       0.99958717E-04


  frequency number   107 frequency :       0.79875000E+00
 jw  real sour, imag sour =    107      0.23715E+00     -0.47527E+00

  global error =        0.4610233E-02 iter. number =   100 denomin. =        0.6712348E+02

  global error =        0.3354642E-02 iter. number =   200 denomin. =        0.7415662E+02

  global error =        0.2599567E-02 iter. number =   300 denomin. =        0.8320640E+02

  global error =        0.1959406E-02 iter. number =   400 denomin. =        0.9294973E+02

  global error =        0.1411952E-02 iter. number =   500 denomin. =        0.1016799E+03

  global error =        0.1002012E-02 iter. number =   600 denomin. =        0.1073373E+03

  global error =        0.6255436E-03 iter. number =   700 denomin. =        0.1097902E+03

  global error =        0.4462060E-03 iter. number =   800 denomin. =        0.1095224E+03

  global error =        0.3312007E-03 iter. number =   900 denomin. =        0.1081498E+03

  global error =        0.2628288E-03 iter. number =  1000 denomin. =        0.1064636E+03

  global error =        0.1906334E-03 iter. number =  1100 denomin. =        0.1047479E+03

  global error =        0.1413241E-03 iter. number =  1200 denomin. =        0.1032071E+03

  global error =        0.1098737E-03 iter. number =  1300 denomin. =        0.1018722E+03

  convergence  for freq. #   107 achieved in  1343 inner iterations 
 relative error value =       0.99966872E-04


  frequency number   106 frequency :       0.79125000E+00
 jw  real sour, imag sour =    106      0.28200E+00     -0.46309E+00

  global error =        0.5405967E-02 iter. number =   100 denomin. =        0.1012136E+03

  global error =        0.4140656E-02 iter. number =   200 denomin. =        0.9749196E+02

  global error =        0.3381841E-02 iter. number =   300 denomin. =        0.9369817E+02

  global error =        0.2419736E-02 iter. number =   400 denomin. =        0.9068431E+02

  global error =        0.1496048E-02 iter. number =   500 denomin. =        0.9190397E+02

  global error =        0.1008556E-02 iter. number =   600 denomin. =        0.9757663E+02

  global error =        0.8327293E-03 iter. number =   700 denomin. =        0.1043619E+03

  global error =        0.6493240E-03 iter. number =   800 denomin. =        0.1094963E+03

  global error =        0.4720345E-03 iter. number =   900 denomin. =        0.1118547E+03

  global error =        0.3081843E-03 iter. number =  1000 denomin. =        0.1122716E+03

  global error =        0.2324966E-03 iter. number =  1100 denomin. =        0.1122240E+03

  global error =        0.1964648E-03 iter. number =  1200 denomin. =        0.1126027E+03

  global error =        0.1525109E-03 iter. number =  1300 denomin. =        0.1133144E+03

  global error =        0.1174389E-03 iter. number =  1400 denomin. =        0.1137587E+03

  convergence  for freq. #   106 achieved in  1454 inner iterations 
 relative error value =       0.99792681E-04


  frequency number   105 frequency :       0.78375000E+00
 jw  real sour, imag sour =    105      0.32646E+00     -0.44669E+00

  global error =        0.5450494E-02 iter. number =   100 denomin. =        0.1182268E+03

  global error =        0.4460539E-02 iter. number =   200 denomin. =        0.1192831E+03

  global error =        0.3688287E-02 iter. number =   300 denomin. =        0.1194228E+03

  global error =        0.2889469E-02 iter. number =   400 denomin. =        0.1165437E+03

  global error =        0.1990713E-02 iter. number =   500 denomin. =        0.1098991E+03

  global error =        0.1315442E-02 iter. number =   600 denomin. =        0.1000804E+03

  global error =        0.9258318E-03 iter. number =   700 denomin. =        0.9095820E+02

  global error =        0.6596717E-03 iter. number =   800 denomin. =        0.8643714E+02

  global error =        0.4302908E-03 iter. number =   900 denomin. =        0.8585939E+02

  global error =        0.3099296E-03 iter. number =  1000 denomin. =        0.8694186E+02

  global error =        0.2552821E-03 iter. number =  1100 denomin. =        0.8823376E+02

  global error =        0.1947839E-03 iter. number =  1200 denomin. =        0.8908771E+02

  global error =        0.1237095E-03 iter. number =  1300 denomin. =        0.8917484E+02

  convergence  for freq. #   105 achieved in  1357 inner iterations 
 relative error value =       0.99909247E-04


  frequency number   104 frequency :       0.77625000E+00
 jw  real sour, imag sour =    104      0.37012E+00     -0.42604E+00

  global error =        0.4712412E-02 iter. number =   100 denomin. =        0.9194222E+02

  global error =        0.3376690E-02 iter. number =   200 denomin. =        0.9469928E+02

  global error =        0.2490742E-02 iter. number =   300 denomin. =        0.1020215E+03

  global error =        0.1863527E-02 iter. number =   400 denomin. =        0.1124435E+03

  global error =        0.1287750E-02 iter. number =   500 denomin. =        0.1243056E+03

  global error =        0.8946874E-03 iter. number =   600 denomin. =        0.1337171E+03

  global error =        0.4572258E-03 iter. number =   700 denomin. =        0.1408330E+03

  global error =        0.3892699E-03 iter. number =   800 denomin. =        0.1472276E+03

  global error =        0.3161974E-03 iter. number =   900 denomin. =        0.1525865E+03

  global error =        0.2387827E-03 iter. number =  1000 denomin. =        0.1566931E+03

  global error =        0.1707228E-03 iter. number =  1100 denomin. =        0.1595590E+03

  global error =        0.1285751E-03 iter. number =  1200 denomin. =        0.1619060E+03

  global error =        0.1054259E-03 iter. number =  1300 denomin. =        0.1637166E+03

  convergence  for freq. #   104 achieved in  1317 inner iterations 
 relative error value =       0.99912339E-04


  frequency number   103 frequency :       0.76875000E+00
 jw  real sour, imag sour =    103      0.41257E+00     -0.40116E+00

  global error =        0.5996741E-02 iter. number =   100 denomin. =        0.1636846E+03

  global error =        0.4725372E-02 iter. number =   200 denomin. =        0.1522770E+03

  global error =        0.4203368E-02 iter. number =   300 denomin. =        0.1343935E+03

  global error =        0.3311533E-02 iter. number =   400 denomin. =        0.1130726E+03

  global error =        0.2199112E-02 iter. number =   500 denomin. =        0.9778405E+02

  global error =        0.1337152E-02 iter. number =   600 denomin. =        0.9502280E+02

  global error =        0.9102334E-03 iter. number =   700 denomin. =        0.9923594E+02

  global error =        0.6967904E-03 iter. number =   800 denomin. =        0.1058174E+03

  global error =        0.4738068E-03 iter. number =   900 denomin. =        0.1118343E+03

  global error =        0.3170644E-03 iter. number =  1000 denomin. =        0.1153602E+03

  global error =        0.2290793E-03 iter. number =  1100 denomin. =        0.1169610E+03

  global error =        0.1491765E-03 iter. number =  1200 denomin. =        0.1172227E+03

  global error =        0.1132998E-03 iter. number =  1300 denomin. =        0.1170221E+03

  convergence  for freq. #   103 achieved in  1383 inner iterations 
 relative error value =       0.99874383E-04


  frequency number   102 frequency :       0.76125000E+00
 jw  real sour, imag sour =    102      0.45340E+00     -0.37210E+00

  global error =        0.5467023E-02 iter. number =   100 denomin. =        0.1226387E+03

  global error =        0.4315847E-02 iter. number =   200 denomin. =        0.1293665E+03

  global error =        0.3582378E-02 iter. number =   300 denomin. =        0.1348503E+03

  global error =        0.2892289E-02 iter. number =   400 denomin. =        0.1373748E+03

  global error =        0.2210074E-02 iter. number =   500 denomin. =        0.1346670E+03

  global error =        0.1533131E-02 iter. number =   600 denomin. =        0.1252086E+03

  global error =        0.1144631E-02 iter. number =   700 denomin. =        0.1106152E+03

  global error =        0.1025391E-02 iter. number =   800 denomin. =        0.9761034E+02

  global error =        0.8543738E-03 iter. number =   900 denomin. =        0.8950029E+02

  global error =        0.6568974E-03 iter. number =  1000 denomin. =        0.8622386E+02

  global error =        0.4439877E-03 iter. number =  1100 denomin. =        0.8650375E+02

  global error =        0.3458770E-03 iter. number =  1200 denomin. =        0.8878870E+02

  global error =        0.2741273E-03 iter. number =  1300 denomin. =        0.9117491E+02

  global error =        0.2144286E-03 iter. number =  1400 denomin. =        0.9297777E+02

  global error =        0.1608589E-03 iter. number =  1500 denomin. =        0.9393680E+02

  global error =        0.1176283E-03 iter. number =  1600 denomin. =        0.9405542E+02

  convergence  for freq. #   102 achieved in  1678 inner iterations 
 relative error value =       0.99815519E-04


  frequency number   101 frequency :       0.75375000E+00
 jw  real sour, imag sour =    101      0.49220E+00     -0.33896E+00

  global error =        0.4931266E-02 iter. number =   100 denomin. =        0.9971787E+02

  global error =        0.3333867E-02 iter. number =   200 denomin. =        0.1089701E+03

  global error =        0.2481470E-02 iter. number =   300 denomin. =        0.1236071E+03

  global error =        0.1867495E-02 iter. number =   400 denomin. =        0.1414444E+03

  global error =        0.1268707E-02 iter. number =   500 denomin. =        0.1602692E+03

  global error =        0.9761423E-03 iter. number =   600 denomin. =        0.1764333E+03

  global error =        0.6508180E-03 iter. number =   700 denomin. =        0.1887908E+03

  global error =        0.4866933E-03 iter. number =   800 denomin. =        0.1967799E+03

  global error =        0.3380043E-03 iter. number =   900 denomin. =        0.2017782E+03

  global error =        0.2629028E-03 iter. number =  1000 denomin. =        0.2051255E+03

  global error =        0.2076999E-03 iter. number =  1100 denomin. =        0.2071791E+03

  global error =        0.1575920E-03 iter. number =  1200 denomin. =        0.2082856E+03

  global error =        0.1243538E-03 iter. number =  1300 denomin. =        0.2085222E+03

  convergence  for freq. #   101 achieved in  1367 inner iterations 
 relative error value =       0.99929903E-04


  frequency number   100 frequency :       0.74625000E+00
 jw  real sour, imag sour =    100      0.52854E+00     -0.30187E+00

  global error =        0.6164836E-02 iter. number =   100 denomin. =        0.2060993E+03

  global error =        0.4913354E-02 iter. number =   200 denomin. =        0.1921179E+03

  global error =        0.4364959E-02 iter. number =   300 denomin. =        0.1744602E+03

  global error =        0.3623224E-02 iter. number =   400 denomin. =        0.1496652E+03

  global error =        0.2755816E-02 iter. number =   500 denomin. =        0.1307673E+03

  global error =        0.1916839E-02 iter. number =   600 denomin. =        0.1272615E+03

  global error =        0.1576991E-02 iter. number =   700 denomin. =        0.1350019E+03

  global error =        0.1217466E-02 iter. number =   800 denomin. =        0.1464753E+03

  global error =        0.9031793E-03 iter. number =   900 denomin. =        0.1539820E+03

  global error =        0.6768393E-03 iter. number =  1000 denomin. =        0.1547415E+03

  global error =        0.5140964E-03 iter. number =  1100 denomin. =        0.1511214E+03

  global error =        0.4265720E-03 iter. number =  1200 denomin. =        0.1472739E+03

  global error =        0.3274034E-03 iter. number =  1300 denomin. =        0.1459681E+03

  global error =        0.2551416E-03 iter. number =  1400 denomin. =        0.1469612E+03

  global error =        0.1967622E-03 iter. number =  1500 denomin. =        0.1485566E+03

  global error =        0.1518842E-03 iter. number =  1600 denomin. =        0.1493468E+03

  global error =        0.1216522E-03 iter. number =  1700 denomin. =        0.1491076E+03

  convergence  for freq. #   100 achieved in  1775 inner iterations 
 relative error value =       0.99809393E-04


  frequency number    99 frequency :       0.73875000E+00
 jw  real sour, imag sour =     99      0.56204E+00     -0.26102E+00

  global error =        0.4974665E-02 iter. number =   100 denomin. =        0.1536643E+03

  global error =        0.4007125E-02 iter. number =   200 denomin. =        0.1618640E+03

  global error =        0.3229649E-02 iter. number =   300 denomin. =        0.1720926E+03

  global error =        0.2502769E-02 iter. number =   400 denomin. =        0.1806306E+03

  global error =        0.1802669E-02 iter. number =   500 denomin. =        0.1824463E+03

  global error =        0.1213005E-02 iter. number =   600 denomin. =        0.1774778E+03

  global error =        0.7895780E-03 iter. number =   700 denomin. =        0.1664011E+03

  global error =        0.6018201E-03 iter. number =   800 denomin. =        0.1556773E+03

  global error =        0.4476589E-03 iter. number =   900 denomin. =        0.1493105E+03

  global error =        0.3202227E-03 iter. number =  1000 denomin. =        0.1473917E+03

  global error =        0.2340868E-03 iter. number =  1100 denomin. =        0.1481424E+03

  global error =        0.1865627E-03 iter. number =  1200 denomin. =        0.1500805E+03

  global error =        0.1336220E-03 iter. number =  1300 denomin. =        0.1517376E+03

  convergence  for freq. #    99 achieved in  1372 inner iterations 
 relative error value =       0.99646637E-04


  frequency number    98 frequency :       0.73125000E+00
 jw  real sour, imag sour =     98      0.59229E+00     -0.21662E+00

  global error =        0.4875747E-02 iter. number =   100 denomin. =        0.1593091E+03

  global error =        0.3635885E-02 iter. number =   200 denomin. =        0.1611303E+03

  global error =        0.2720671E-02 iter. number =   300 denomin. =        0.1689306E+03

  global error =        0.1850130E-02 iter. number =   400 denomin. =        0.1823773E+03

  global error =        0.1061581E-02 iter. number =   500 denomin. =        0.1976706E+03

  global error =        0.8272201E-03 iter. number =   600 denomin. =        0.2125656E+03

  global error =        0.5037000E-03 iter. number =   700 denomin. =        0.2235327E+03

  global error =        0.3371050E-03 iter. number =   800 denomin. =        0.2312416E+03

  global error =        0.2391142E-03 iter. number =   900 denomin. =        0.2373312E+03

  global error =        0.1866140E-03 iter. number =  1000 denomin. =        0.2425052E+03

  global error =        0.1491373E-03 iter. number =  1100 denomin. =        0.2467369E+03

  convergence  for freq. #    98 achieved in  1190 inner iterations 
 relative error value =       0.99749020E-04


  frequency number    97 frequency :       0.72375000E+00
 jw  real sour, imag sour =     97      0.61894E+00     -0.16895E+00

  global error =        0.6035790E-02 iter. number =   100 denomin. =        0.2543019E+03

  global error =        0.4813401E-02 iter. number =   200 denomin. =        0.2428554E+03

  global error =        0.4170270E-02 iter. number =   300 denomin. =        0.2178965E+03

  global error =        0.3310467E-02 iter. number =   400 denomin. =        0.1852234E+03

  global error =        0.2213522E-02 iter. number =   500 denomin. =        0.1545513E+03

  global error =        0.1248330E-02 iter. number =   600 denomin. =        0.1391528E+03

  global error =        0.8305065E-03 iter. number =   700 denomin. =        0.1392753E+03

  global error =        0.6333811E-03 iter. number =   800 denomin. =        0.1433914E+03

  global error =        0.4184144E-03 iter. number =   900 denomin. =        0.1467217E+03

  global error =        0.2544353E-03 iter. number =  1000 denomin. =        0.1469352E+03

  global error =        0.2034626E-03 iter. number =  1100 denomin. =        0.1448175E+03

  global error =        0.1561042E-03 iter. number =  1200 denomin. =        0.1429346E+03

  global error =        0.1202882E-03 iter. number =  1300 denomin. =        0.1418476E+03

  convergence  for freq. #    97 achieved in  1376 inner iterations 
 relative error value =       0.99863708E-04


  frequency number    96 frequency :       0.71625000E+00
 jw  real sour, imag sour =     96      0.64162E+00     -0.11830E+00

  global error =        0.5057238E-02 iter. number =   100 denomin. =        0.1447506E+03

  global error =        0.3831760E-02 iter. number =   200 denomin. =        0.1565354E+03

  global error =        0.2948667E-02 iter. number =   300 denomin. =        0.1725156E+03

  global error =        0.2290169E-02 iter. number =   400 denomin. =        0.1895455E+03

  global error =        0.1736475E-02 iter. number =   500 denomin. =        0.2016238E+03

  global error =        0.1154033E-02 iter. number =   600 denomin. =        0.2060676E+03

  global error =        0.6884232E-03 iter. number =   700 denomin. =        0.2028127E+03

  global error =        0.6048995E-03 iter. number =   800 denomin. =        0.1954555E+03

  global error =        0.5232342E-03 iter. number =   900 denomin. =        0.1874465E+03

  global error =        0.4195357E-03 iter. number =  1000 denomin. =        0.1796422E+03

  global error =        0.2941345E-03 iter. number =  1100 denomin. =        0.1737051E+03

  global error =        0.2261498E-03 iter. number =  1200 denomin. =        0.1697132E+03

  global error =        0.1753514E-03 iter. number =  1300 denomin. =        0.1665828E+03

  global error =        0.1288089E-03 iter. number =  1400 denomin. =        0.1643826E+03

  global error =        0.1028295E-03 iter. number =  1500 denomin. =        0.1629622E+03

  convergence  for freq. #    96 achieved in  1514 inner iterations 
 relative error value =       0.99869859E-04


  frequency number    95 frequency :       0.70875000E+00
 jw  real sour, imag sour =     95      0.66002E+00     -0.65007E-01

  global error =        0.5322348E-02 iter. number =   100 denomin. =        0.1673543E+03

  global error =        0.3737585E-02 iter. number =   200 denomin. =        0.1688819E+03

  global error =        0.2890051E-02 iter. number =   300 denomin. =        0.1790488E+03

  global error =        0.1943676E-02 iter. number =   400 denomin. =        0.1968223E+03

  global error =        0.1163195E-02 iter. number =   500 denomin. =        0.2205963E+03

  global error =        0.9806604E-03 iter. number =   600 denomin. =        0.2454003E+03

  global error =        0.6791193E-03 iter. number =   700 denomin. =        0.2666022E+03

  global error =        0.5495739E-03 iter. number =   800 denomin. =        0.2833429E+03

  global error =        0.3873609E-03 iter. number =   900 denomin. =        0.2959157E+03

  global error =        0.2923389E-03 iter. number =  1000 denomin. =        0.3052598E+03

  global error =        0.2183219E-03 iter. number =  1100 denomin. =        0.3128674E+03

  global error =        0.1558689E-03 iter. number =  1200 denomin. =        0.3185260E+03

  global error =        0.1359082E-03 iter. number =  1300 denomin. =        0.3230873E+03

  global error =        0.1018386E-03 iter. number =  1400 denomin. =        0.3264619E+03

  convergence  for freq. #    95 achieved in  1408 inner iterations 
 relative error value =       0.99850146E-04


  frequency number    94 frequency :       0.70125000E+00
 jw  real sour, imag sour =     94      0.67383E+00     -0.94516E-02

  global error =        0.6381312E-02 iter. number =   100 denomin. =        0.3328407E+03

  global error =        0.5051930E-02 iter. number =   200 denomin. =        0.3069514E+03

  global error =        0.4519834E-02 iter. number =   300 denomin. =        0.2696218E+03

  global error =        0.3991175E-02 iter. number =   400 denomin. =        0.2269693E+03

  global error =        0.3158559E-02 iter. number =   500 denomin. =        0.1897564E+03

  global error =        0.2301146E-02 iter. number =   600 denomin. =        0.1715572E+03

  global error =        0.1888448E-02 iter. number =   700 denomin. =        0.1746876E+03

  global error =        0.1468801E-02 iter. number =   800 denomin. =        0.1887201E+03

  global error =        0.1074959E-02 iter. number =   900 denomin. =        0.2027149E+03

  global error =        0.7874350E-03 iter. number =  1000 denomin. =        0.2084333E+03

  global error =        0.5940206E-03 iter. number =  1100 denomin. =        0.2051883E+03

  global error =        0.4963577E-03 iter. number =  1200 denomin. =        0.1979712E+03

  global error =        0.3880716E-03 iter. number =  1300 denomin. =        0.1923622E+03

  global error =        0.3022887E-03 iter. number =  1400 denomin. =        0.1907028E+03

  global error =        0.2296139E-03 iter. number =  1500 denomin. =        0.1919893E+03

  global error =        0.1755514E-03 iter. number =  1600 denomin. =        0.1941294E+03

  global error =        0.1392567E-03 iter. number =  1700 denomin. =        0.1955185E+03

  global error =        0.1064814E-03 iter. number =  1800 denomin. =        0.1955432E+03

  convergence  for freq. #    94 achieved in  1827 inner iterations 
 relative error value =       0.99906722E-04


  frequency number    93 frequency :       0.69375000E+00
 jw  real sour, imag sour =     93      0.68280E+00      0.47960E-01

  global error =        0.5104689E-02 iter. number =   100 denomin. =        0.2045760E+03

  global error =        0.3832416E-02 iter. number =   200 denomin. =        0.2243457E+03

  global error =        0.3051606E-02 iter. number =   300 denomin. =        0.2487351E+03

  global error =        0.2442955E-02 iter. number =   400 denomin. =        0.2737831E+03

  global error =        0.1837817E-02 iter. number =   500 denomin. =        0.2910114E+03

  global error =        0.1298569E-02 iter. number =   600 denomin. =        0.2955424E+03

  global error =        0.8581979E-03 iter. number =   700 denomin. =        0.2882809E+03

  global error =        0.6650715E-03 iter. number =   800 denomin. =        0.2741578E+03

  global error =        0.5302574E-03 iter. number =   900 denomin. =        0.2597153E+03

  global error =        0.4218828E-03 iter. number =  1000 denomin. =        0.2482251E+03

  global error =        0.3065229E-03 iter. number =  1100 denomin. =        0.2401841E+03

  global error =        0.2312751E-03 iter. number =  1200 denomin. =        0.2358761E+03

  global error =        0.1787834E-03 iter. number =  1300 denomin. =        0.2341276E+03

  global error =        0.1351727E-03 iter. number =  1400 denomin. =        0.2341850E+03

  global error =        0.1045460E-03 iter. number =  1500 denomin. =        0.2353044E+03

  convergence  for freq. #    93 achieved in  1517 inner iterations 
 relative error value =       0.99768969E-04


  frequency number    92 frequency :       0.68625000E+00
 jw  real sour, imag sour =     92      0.68671E+00      0.10679E+00

  global error =        0.5114749E-02 iter. number =   100 denomin. =        0.2437779E+03

  global error =        0.3829370E-02 iter. number =   200 denomin. =        0.2462394E+03

  global error =        0.3025262E-02 iter. number =   300 denomin. =        0.2525323E+03

  global error =        0.2036202E-02 iter. number =   400 denomin. =        0.2635806E+03

  global error =        0.1156526E-02 iter. number =   500 denomin. =        0.2790144E+03

  global error =        0.8662478E-03 iter. number =   600 denomin. =        0.2968877E+03

  global error =        0.6431000E-03 iter. number =   700 denomin. =        0.3114716E+03

  global error =        0.4633250E-03 iter. number =   800 denomin. =        0.3201346E+03

  global error =        0.3132173E-03 iter. number =   900 denomin. =        0.3234694E+03

  global error =        0.2099950E-03 iter. number =  1000 denomin. =        0.3248281E+03

  global error =        0.1668617E-03 iter. number =  1100 denomin. =        0.3265596E+03

  global error =        0.1329989E-03 iter. number =  1200 denomin. =        0.3283152E+03

  global error =        0.1017667E-03 iter. number =  1300 denomin. =        0.3291934E+03

  convergence  for freq. #    92 achieved in  1307 inner iterations 
 relative error value =       0.99981017E-04


  frequency number    91 frequency :       0.67875000E+00
 jw  real sour, imag sour =     91      0.68536E+00      0.16658E+00

  global error =        0.5867528E-02 iter. number =   100 denomin. =        0.3369322E+03

  global error =        0.4712291E-02 iter. number =   200 denomin. =        0.3280066E+03

  global error =        0.3956391E-02 iter. number =   300 denomin. =        0.3077002E+03

  global error =        0.3098365E-02 iter. number =   400 denomin. =        0.2784534E+03

  global error =        0.2097061E-02 iter. number =   500 denomin. =        0.2476700E+03

  global error =        0.1317527E-02 iter. number =   600 denomin. =        0.2264114E+03

  global error =        0.9469596E-03 iter. number =   700 denomin. =        0.2219925E+03

  global error =        0.6533368E-03 iter. number =   800 denomin. =        0.2268233E+03

  global error =        0.4409358E-03 iter. number =   900 denomin. =        0.2304660E+03

  global error =        0.3398406E-03 iter. number =  1000 denomin. =        0.2291586E+03

  global error =        0.2955927E-03 iter. number =  1100 denomin. =        0.2245123E+03

  global error =        0.2278366E-03 iter. number =  1200 denomin. =        0.2198776E+03

  global error =        0.1356046E-03 iter. number =  1300 denomin. =        0.2185469E+03

  convergence  for freq. #    91 achieved in  1391 inner iterations 
 relative error value =       0.99982153E-04


  frequency number    90 frequency :       0.67125000E+00
 jw  real sour, imag sour =     90      0.67863E+00      0.22683E+00

  global error =        0.5061896E-02 iter. number =   100 denomin. =        0.2270063E+03

  global error =        0.3913314E-02 iter. number =   200 denomin. =        0.2411063E+03

  global error =        0.2994420E-02 iter. number =   300 denomin. =        0.2635214E+03

  global error =        0.2276979E-02 iter. number =   400 denomin. =        0.2892398E+03

  global error =        0.1569354E-02 iter. number =   500 denomin. =        0.3090360E+03

  global error =        0.1027883E-02 iter. number =   600 denomin. =        0.3178702E+03

  global error =        0.5716905E-03 iter. number =   700 denomin. =        0.3181635E+03

  global error =        0.4789925E-03 iter. number =   800 denomin. =        0.3153986E+03

  global error =        0.4127203E-03 iter. number =   900 denomin. =        0.3122419E+03

  global error =        0.3099995E-03 iter. number =  1000 denomin. =        0.3082659E+03

  global error =        0.2153363E-03 iter. number =  1100 denomin. =        0.3043861E+03

  global error =        0.1586656E-03 iter. number =  1200 denomin. =        0.3009951E+03

  global error =        0.1246199E-03 iter. number =  1300 denomin. =        0.2973352E+03

  convergence  for freq. #    90 achieved in  1374 inner iterations 
 relative error value =       0.99877831E-04


  frequency number    89 frequency :       0.66375000E+00
 jw  real sour, imag sour =     89      0.66641E+00      0.28705E+00

  global error =        0.5699894E-02 iter. number =   100 denomin. =        0.2904476E+03

  global error =        0.4230395E-02 iter. number =   200 denomin. =        0.2662446E+03

  global error =        0.3371115E-02 iter. number =   300 denomin. =        0.2496026E+03

  global error =        0.2159816E-02 iter. number =   400 denomin. =        0.2453122E+03

  global error =        0.1161047E-02 iter. number =   500 denomin. =        0.2625172E+03

  global error =        0.9132593E-03 iter. number =   600 denomin. =        0.2903871E+03

  global error =        0.6738627E-03 iter. number =   700 denomin. =        0.3175646E+03

  global error =        0.5247859E-03 iter. number =   800 denomin. =        0.3411553E+03

  global error =        0.3400723E-03 iter. number =   900 denomin. =        0.3580159E+03

  global error =        0.2592891E-03 iter. number =  1000 denomin. =        0.3709590E+03

  global error =        0.1980946E-03 iter. number =  1100 denomin. =        0.3814913E+03

  global error =        0.1466260E-03 iter. number =  1200 denomin. =        0.3898528E+03

  global error =        0.1221463E-03 iter. number =  1300 denomin. =        0.3969154E+03

  convergence  for freq. #    89 achieved in  1360 inner iterations 
 relative error value =       0.99791048E-04


  frequency number    88 frequency :       0.65625000E+00
 jw  real sour, imag sour =     88      0.64866E+00      0.34672E+00

  global error =        0.6182286E-02 iter. number =   100 denomin. =        0.4164013E+03

  global error =        0.4875840E-02 iter. number =   200 denomin. =        0.4089233E+03

  global error =        0.4284231E-02 iter. number =   300 denomin. =        0.3838534E+03

  global error =        0.3664897E-02 iter. number =   400 denomin. =        0.3477194E+03

  global error =        0.2882357E-02 iter. number =   500 denomin. =        0.3054065E+03

  global error =        0.2031944E-02 iter. number =   600 denomin. =        0.2685627E+03

  global error =        0.1524228E-02 iter. number =   700 denomin. =        0.2495275E+03

  global error =        0.1312300E-02 iter. number =   800 denomin. =        0.2435732E+03

  global error =        0.1044406E-02 iter. number =   900 denomin. =        0.2502777E+03

  global error =        0.7584272E-03 iter. number =  1000 denomin. =        0.2619484E+03

  global error =        0.5184600E-03 iter. number =  1100 denomin. =        0.2701034E+03

  global error =        0.3920324E-03 iter. number =  1200 denomin. =        0.2719242E+03

  global error =        0.3057923E-03 iter. number =  1300 denomin. =        0.2689077E+03

  global error =        0.2441652E-03 iter. number =  1400 denomin. =        0.2632179E+03

  global error =        0.1923466E-03 iter. number =  1500 denomin. =        0.2582327E+03

  global error =        0.1463325E-03 iter. number =  1600 denomin. =        0.2555417E+03

  global error =        0.1099930E-03 iter. number =  1700 denomin. =        0.2549456E+03

  convergence  for freq. #    88 achieved in  1730 inner iterations 
 relative error value =       0.99897654E-04


  frequency number    87 frequency :       0.64875000E+00
 jw  real sour, imag sour =     87      0.62539E+00      0.40530E+00

  global error =        0.5327070E-02 iter. number =   100 denomin. =        0.2721305E+03

  global error =        0.3944811E-02 iter. number =   200 denomin. =        0.3030286E+03

  global error =        0.3186496E-02 iter. number =   300 denomin. =        0.3398176E+03

  global error =        0.2551277E-02 iter. number =   400 denomin. =        0.3782720E+03

  global error =        0.1905798E-02 iter. number =   500 denomin. =        0.4056466E+03

  global error =        0.1423149E-02 iter. number =   600 denomin. =        0.4141401E+03

  global error =        0.1003444E-02 iter. number =   700 denomin. =        0.4029118E+03

  global error =        0.8533984E-03 iter. number =   800 denomin. =        0.3801575E+03

  global error =        0.6792539E-03 iter. number =   900 denomin. =        0.3542270E+03

  global error =        0.5587495E-03 iter. number =  1000 denomin. =        0.3314692E+03

  global error =        0.4427259E-03 iter. number =  1100 denomin. =        0.3130566E+03

  global error =        0.3543607E-03 iter. number =  1200 denomin. =        0.3010505E+03

  global error =        0.2877281E-03 iter. number =  1300 denomin. =        0.2942108E+03

  global error =        0.2151032E-03 iter. number =  1400 denomin. =        0.2920203E+03

  global error =        0.1743748E-03 iter. number =  1500 denomin. =        0.2930380E+03

  global error =        0.1340395E-03 iter. number =  1600 denomin. =        0.2956631E+03

  global error =        0.1068072E-03 iter. number =  1700 denomin. =        0.2987702E+03

  convergence  for freq. #    87 achieved in  1731 inner iterations 
 relative error value =       0.99930411E-04


  frequency number    86 frequency :       0.64125000E+00
 jw  real sour, imag sour =     86      0.59666E+00      0.46228E+00

  global error =        0.5423497E-02 iter. number =   100 denomin. =        0.3116139E+03

  global error =        0.3811495E-02 iter. number =   200 denomin. =        0.3177089E+03

  global error =        0.2942901E-02 iter. number =   300 denomin. =        0.3293682E+03

  global error =        0.2086485E-02 iter. number =   400 denomin. =        0.3472485E+03

  global error =        0.1241102E-02 iter. number =   500 denomin. =        0.3750618E+03

  global error =        0.9907111E-03 iter. number =   600 denomin. =        0.4079126E+03

  global error =        0.8060717E-03 iter. number =   700 denomin. =        0.4366536E+03

  global error =        0.5652313E-03 iter. number =   800 denomin. =        0.4537019E+03

  global error =        0.3597073E-03 iter. number =   900 denomin. =        0.4602540E+03

  global error =        0.2441347E-03 iter. number =  1000 denomin. =        0.4628354E+03

  global error =        0.1982952E-03 iter. number =  1100 denomin. =        0.4663834E+03

  global error =        0.1632363E-03 iter. number =  1200 denomin. =        0.4700807E+03

  global error =        0.1221667E-03 iter. number =  1300 denomin. =        0.4718065E+03

  convergence  for freq. #    86 achieved in  1388 inner iterations 
 relative error value =       0.99909238E-04


  frequency number    85 frequency :       0.63375000E+00
 jw  real sour, imag sour =     85      0.56258E+00      0.51712E+00

  global error =        0.6058698E-02 iter. number =   100 denomin. =        0.4783264E+03

  global error =        0.4851305E-02 iter. number =   200 denomin. =        0.4782293E+03

  global error =        0.4184261E-02 iter. number =   300 denomin. =        0.4713793E+03

  global error =        0.3424534E-02 iter. number =   400 denomin. =        0.4440889E+03

  global error =        0.2574962E-02 iter. number =   500 denomin. =        0.4025982E+03

  global error =        0.1712002E-02 iter. number =   600 denomin. =        0.3630100E+03

  global error =        0.1190042E-02 iter. number =   700 denomin. =        0.3418938E+03

  global error =        0.9604189E-03 iter. number =   800 denomin. =        0.3400641E+03

  global error =        0.7439433E-03 iter. number =   900 denomin. =        0.3493562E+03

  global error =        0.5488611E-03 iter. number =  1000 denomin. =        0.3578934E+03

  global error =        0.3904316E-03 iter. number =  1100 denomin. =        0.3590206E+03

  global error =        0.3089268E-03 iter. number =  1200 denomin. =        0.3537308E+03

  global error =        0.2267990E-03 iter. number =  1300 denomin. =        0.3479631E+03

  global error =        0.1652809E-03 iter. number =  1400 denomin. =        0.3451246E+03

  global error =        0.1300703E-03 iter. number =  1500 denomin. =        0.3454187E+03

  global error =        0.1033170E-03 iter. number =  1600 denomin. =        0.3475062E+03

  convergence  for freq. #    85 achieved in  1615 inner iterations 
 relative error value =       0.99940359E-04


  frequency number    84 frequency :       0.62625000E+00
 jw  real sour, imag sour =     84      0.52331E+00      0.56931E+00

  global error =        0.5091833E-02 iter. number =   100 denomin. =        0.3579082E+03

  global error =        0.4102413E-02 iter. number =   200 denomin. =        0.3704622E+03

  global error =        0.3243951E-02 iter. number =   300 denomin. =        0.3931743E+03

  global error =        0.2392994E-02 iter. number =   400 denomin. =        0.4177892E+03

  global error =        0.1558782E-02 iter. number =   500 denomin. =        0.4293639E+03

  global error =        0.1038079E-02 iter. number =   600 denomin. =        0.4253931E+03

  global error =        0.6227584E-03 iter. number =   700 denomin. =        0.4101446E+03

  global error =        0.4145266E-03 iter. number =   800 denomin. =        0.3944850E+03

  global error =        0.2882905E-03 iter. number =   900 denomin. =        0.3851589E+03

  global error =        0.1845979E-03 iter. number =  1000 denomin. =        0.3808352E+03

  global error =        0.1302604E-03 iter. number =  1100 denomin. =        0.3785231E+03

  convergence  for freq. #    84 achieved in  1198 inner iterations 
 relative error value =       0.99866065E-04


  frequency number    83 frequency :       0.61875000E+00
 jw  real sour, imag sour =     83      0.47906E+00      0.61832E+00

  global error =        0.5382478E-02 iter. number =   100 denomin. =        0.3795248E+03

  global error =        0.4086949E-02 iter. number =   200 denomin. =        0.3527806E+03

  global error =        0.3002052E-02 iter. number =   300 denomin. =        0.3359105E+03

  global error =        0.1904006E-02 iter. number =   400 denomin. =        0.3369649E+03

  global error =        0.9606642E-03 iter. number =   500 denomin. =        0.3592161E+03

  global error =        0.7550763E-03 iter. number =   600 denomin. =        0.3941434E+03

  global error =        0.5511952E-03 iter. number =   700 denomin. =        0.4271808E+03

  global error =        0.4220525E-03 iter. number =   800 denomin. =        0.4538678E+03

  global error =        0.3122246E-03 iter. number =   900 denomin. =        0.4738992E+03

  global error =        0.2454382E-03 iter. number =  1000 denomin. =        0.4884874E+03

  global error =        0.1975452E-03 iter. number =  1100 denomin. =        0.5000479E+03

  global error =        0.1322706E-03 iter. number =  1200 denomin. =        0.5072844E+03

  global error =        0.1120657E-03 iter. number =  1300 denomin. =        0.5115486E+03

  convergence  for freq. #    83 achieved in  1350 inner iterations 
 relative error value =       0.99939683E-04


  frequency number    82 frequency :       0.61125000E+00
 jw  real sour, imag sour =     82      0.43012E+00      0.66368E+00

  global error =        0.6184372E-02 iter. number =   100 denomin. =        0.5320033E+03

  global error =        0.4890507E-02 iter. number =   200 denomin. =        0.5393412E+03

  global error =        0.4220152E-02 iter. number =   300 denomin. =        0.5253101E+03

  global error =        0.3493124E-02 iter. number =   400 denomin. =        0.4869688E+03

  global error =        0.2608940E-02 iter. number =   500 denomin. =        0.4270658E+03

  global error =        0.1805951E-02 iter. number =   600 denomin. =        0.3658264E+03

  global error =        0.1333694E-02 iter. number =   700 denomin. =        0.3261267E+03

  global error =        0.1168047E-02 iter. number =   800 denomin. =        0.3002680E+03

  global error =        0.9274291E-03 iter. number =   900 denomin. =        0.2900837E+03

  global error =        0.6558679E-03 iter. number =  1000 denomin. =        0.2935906E+03

  global error =        0.4720326E-03 iter. number =  1100 denomin. =        0.3002578E+03

  global error =        0.3375203E-03 iter. number =  1200 denomin. =        0.3054875E+03

  global error =        0.2346229E-03 iter. number =  1300 denomin. =        0.3080618E+03

  global error =        0.1799576E-03 iter. number =  1400 denomin. =        0.3067901E+03

  global error =        0.1529118E-03 iter. number =  1500 denomin. =        0.3043875E+03

  global error =        0.1209670E-03 iter. number =  1600 denomin. =        0.3020873E+03

  convergence  for freq. #    82 achieved in  1649 inner iterations 
 relative error value =       0.99927775E-04


  frequency number    81 frequency :       0.60375000E+00
 jw  real sour, imag sour =     81      0.37678E+00      0.70491E+00

  global error =        0.5376196E-02 iter. number =   100 denomin. =        0.3102441E+03

  global error =        0.3870370E-02 iter. number =   200 denomin. =        0.3408327E+03

  global error =        0.3005727E-02 iter. number =   300 denomin. =        0.3807926E+03

  global error =        0.2279595E-02 iter. number =   400 denomin. =        0.4252313E+03

  global error =        0.1756215E-02 iter. number =   500 denomin. =        0.4611506E+03

  global error =        0.1292229E-02 iter. number =   600 denomin. =        0.4809381E+03

  global error =        0.8874177E-03 iter. number =   700 denomin. =        0.4797526E+03

  global error =        0.7367872E-03 iter. number =   800 denomin. =        0.4644517E+03

  global error =        0.5917720E-03 iter. number =   900 denomin. =        0.4432324E+03

  global error =        0.4977763E-03 iter. number =  1000 denomin. =        0.4212034E+03

  global error =        0.3781544E-03 iter. number =  1100 denomin. =        0.4022391E+03

  global error =        0.3077870E-03 iter. number =  1200 denomin. =        0.3873943E+03

  global error =        0.2440386E-03 iter. number =  1300 denomin. =        0.3759206E+03

  global error =        0.1904252E-03 iter. number =  1400 denomin. =        0.3685482E+03

  global error =        0.1540011E-03 iter. number =  1500 denomin. =        0.3644153E+03

  global error =        0.1174769E-03 iter. number =  1600 denomin. =        0.3628569E+03

  convergence  for freq. #    81 achieved in  1683 inner iterations 
 relative error value =       0.99968460E-04


  frequency number    80 frequency :       0.59625000E+00
 jw  real sour, imag sour =     80      0.31943E+00      0.74159E+00

  global error =        0.5584391E-02 iter. number =   100 denomin. =        0.3810256E+03

  global error =        0.3841866E-02 iter. number =   200 denomin. =        0.3921845E+03

  global error =        0.2922651E-02 iter. number =   300 denomin. =        0.4186737E+03

  global error =        0.2135571E-02 iter. number =   400 denomin. =        0.4615339E+03

  global error =        0.1282158E-02 iter. number =   500 denomin. =        0.5166892E+03

  global error =        0.1076467E-02 iter. number =   600 denomin. =        0.5758278E+03

  global error =        0.8099617E-03 iter. number =   700 denomin. =        0.6288380E+03

  global error =        0.5909540E-03 iter. number =   800 denomin. =        0.6670638E+03

  global error =        0.3825451E-03 iter. number =   900 denomin. =        0.6910007E+03

  global error =        0.2392095E-03 iter. number =  1000 denomin. =        0.7054472E+03

  global error =        0.1813332E-03 iter. number =  1100 denomin. =        0.7172408E+03

  global error =        0.1364528E-03 iter. number =  1200 denomin. =        0.7263732E+03

  global error =        0.1127827E-03 iter. number =  1300 denomin. =        0.7331168E+03

  convergence  for freq. #    80 achieved in  1355 inner iterations 
 relative error value =       0.99756710E-04


  frequency number    79 frequency :       0.58875000E+00
 jw  real sour, imag sour =     79      0.25847E+00      0.77329E+00

  global error =        0.6613251E-02 iter. number =   100 denomin. =        0.7496662E+03

  global error =        0.5228964E-02 iter. number =   200 denomin. =        0.7282782E+03

  global error =        0.4657790E-02 iter. number =   300 denomin. =        0.6925607E+03

  global error =        0.4070601E-02 iter. number =   400 denomin. =        0.6188564E+03

  global error =        0.3240894E-02 iter. number =   500 denomin. =        0.5280223E+03

  global error =        0.2375841E-02 iter. number =   600 denomin. =        0.4540694E+03

  global error =        0.1875468E-02 iter. number =   700 denomin. =        0.4268270E+03

  global error =        0.1500002E-02 iter. number =   800 denomin. =        0.4385794E+03

  global error =        0.1148924E-02 iter. number =   900 denomin. =        0.4678994E+03

  global error =        0.8953365E-03 iter. number =  1000 denomin. =        0.4898761E+03

  global error =        0.6867218E-03 iter. number =  1100 denomin. =        0.4921353E+03

  global error =        0.5506950E-03 iter. number =  1200 denomin. =        0.4796802E+03

  global error =        0.4232626E-03 iter. number =  1300 denomin. =        0.4653320E+03

  global error =        0.3311324E-03 iter. number =  1400 denomin. =        0.4579643E+03

  global error =        0.2654898E-03 iter. number =  1500 denomin. =        0.4586466E+03

  global error =        0.2060443E-03 iter. number =  1600 denomin. =        0.4638588E+03

  global error =        0.1613568E-03 iter. number =  1700 denomin. =        0.4688472E+03

  global error =        0.1232028E-03 iter. number =  1800 denomin. =        0.4706361E+03

  convergence  for freq. #    79 achieved in  1891 inner iterations 
 relative error value =       0.99908034E-04


  frequency number    78 frequency :       0.58125000E+00
 jw  real sour, imag sour =     78      0.19435E+00      0.79966E+00

  global error =        0.5204833E-02 iter. number =   100 denomin. =        0.4764622E+03

  global error =        0.4012912E-02 iter. number =   200 denomin. =        0.4961590E+03

  global error =        0.3196017E-02 iter. number =   300 denomin. =        0.5294981E+03

  global error =        0.2448817E-02 iter. number =   400 denomin. =        0.5650967E+03

  global error =        0.1790672E-02 iter. number =   500 denomin. =        0.5860464E+03

  global error =        0.1254065E-02 iter. number =   600 denomin. =        0.5849660E+03

  global error =        0.7896294E-03 iter. number =   700 denomin. =        0.5665871E+03

  global error =        0.5655872E-03 iter. number =   800 denomin. =        0.5417237E+03

  global error =        0.3867064E-03 iter. number =   900 denomin. =        0.5220668E+03

  global error =        0.2677481E-03 iter. number =  1000 denomin. =        0.5098358E+03

  global error =        0.1891590E-03 iter. number =  1100 denomin. =        0.5034299E+03

  global error =        0.1437152E-03 iter. number =  1200 denomin. =        0.5003647E+03

  global error =        0.1020798E-03 iter. number =  1300 denomin. =        0.4989816E+03

  convergence  for freq. #    78 achieved in  1305 inner iterations 
 relative error value =       0.99840044E-04


  frequency number    77 frequency :       0.57375000E+00
 jw  real sour, imag sour =     77      0.12758E+00      0.82037E+00

  global error =        0.5254168E-02 iter. number =   100 denomin. =        0.5104925E+03

  global error =        0.4137203E-02 iter. number =   200 denomin. =        0.4957070E+03

  global error =        0.3195679E-02 iter. number =   300 denomin. =        0.4950048E+03

  global error =        0.2125301E-02 iter. number =   400 denomin. =        0.5102749E+03

  global error =        0.1021874E-02 iter. number =   500 denomin. =        0.5346918E+03

  global error =        0.6726992E-03 iter. number =   600 denomin. =        0.5689547E+03

  global error =        0.4987507E-03 iter. number =   700 denomin. =        0.6035061E+03

  global error =        0.3866625E-03 iter. number =   800 denomin. =        0.6334553E+03

  global error =        0.2782728E-03 iter. number =   900 denomin. =        0.6557789E+03

  global error =        0.1905705E-03 iter. number =  1000 denomin. =        0.6717876E+03

  global error =        0.1633073E-03 iter. number =  1100 denomin. =        0.6851430E+03

  global error =        0.1194257E-03 iter. number =  1200 denomin. =        0.6950210E+03

  convergence  for freq. #    77 achieved in  1251 inner iterations 
 relative error value =       0.99847953E-04


  frequency number    76 frequency :       0.56625000E+00
 jw  real sour, imag sour =     76      0.58660E-01      0.83515E+00

  global error =        0.6162838E-02 iter. number =   100 denomin. =        0.7237054E+03

  global error =        0.5030069E-02 iter. number =   200 denomin. =        0.6976969E+03

  global error =        0.4303313E-02 iter. number =   300 denomin. =        0.6310798E+03

  global error =        0.3431743E-02 iter. number =   400 denomin. =        0.5391227E+03

  global error =        0.2436162E-02 iter. number =   500 denomin. =        0.4415063E+03

  global error =        0.1631923E-02 iter. number =   600 denomin. =        0.3675851E+03

  global error =        0.1144176E-02 iter. number =   700 denomin. =        0.3403047E+03

  global error =        0.8504607E-03 iter. number =   800 denomin. =        0.3384349E+03

  global error =        0.5750741E-03 iter. number =   900 denomin. =        0.3429126E+03

  global error =        0.3266467E-03 iter. number =  1000 denomin. =        0.3474216E+03

  global error =        0.2300512E-03 iter. number =  1100 denomin. =        0.3476625E+03

  global error =        0.1926458E-03 iter. number =  1200 denomin. =        0.3448842E+03

  global error =        0.1637051E-03 iter. number =  1300 denomin. =        0.3432915E+03

  global error =        0.1191923E-03 iter. number =  1400 denomin. =        0.3423446E+03

  convergence  for freq. #    76 achieved in  1435 inner iterations 
 relative error value =       0.99881121E-04


  frequency number    75 frequency :       0.55875000E+00
 jw  real sour, imag sour =     75     -0.11836E-01      0.84377E+00

  global error =        0.5233360E-02 iter. number =   100 denomin. =        0.3509013E+03

  global error =        0.3779032E-02 iter. number =   200 denomin. =        0.3853453E+03

  global error =        0.2776264E-02 iter. number =   300 denomin. =        0.4351862E+03

  global error =        0.2126594E-02 iter. number =   400 denomin. =        0.4933852E+03

  global error =        0.1576250E-02 iter. number =   500 denomin. =        0.5446647E+03

  global error =        0.1126402E-02 iter. number =   600 denomin. =        0.5798065E+03

  global error =        0.7841770E-03 iter. number =   700 denomin. =        0.5990810E+03

  global error =        0.6307935E-03 iter. number =   800 denomin. =        0.6031093E+03

  global error =        0.4580212E-03 iter. number =   900 denomin. =        0.5969259E+03

  global error =        0.3637231E-03 iter. number =  1000 denomin. =        0.5846434E+03

  global error =        0.3013211E-03 iter. number =  1100 denomin. =        0.5736655E+03

  global error =        0.2465049E-03 iter. number =  1200 denomin. =        0.5636132E+03

  global error =        0.1831220E-03 iter. number =  1300 denomin. =        0.5536475E+03

  global error =        0.1313635E-03 iter. number =  1400 denomin. =        0.5448534E+03

  global error =        0.1059033E-03 iter. number =  1500 denomin. =        0.5371744E+03

  convergence  for freq. #    75 achieved in  1528 inner iterations 
 relative error value =       0.99915138E-04


  frequency number    74 frequency :       0.55125000E+00
 jw  real sour, imag sour =     74     -0.83331E-01      0.84607E+00

  global error =        0.6073278E-02 iter. number =   100 denomin. =        0.5356111E+03

  global error =        0.4462728E-02 iter. number =   200 denomin. =        0.5154059E+03

  global error =        0.3589645E-02 iter. number =   300 denomin. =        0.5160953E+03

  global error =        0.2474196E-02 iter. number =   400 denomin. =        0.5426922E+03

  global error =        0.1534107E-02 iter. number =   500 denomin. =        0.6022638E+03

  global error =        0.1260969E-02 iter. number =   600 denomin. =        0.6766631E+03

  global error =        0.8773252E-03 iter. number =   700 denomin. =        0.7445904E+03

  global error =        0.6905230E-03 iter. number =   800 denomin. =        0.7948729E+03

  global error =        0.4831474E-03 iter. number =   900 denomin. =        0.8297877E+03

  global error =        0.3605487E-03 iter. number =  1000 denomin. =        0.8531397E+03

  global error =        0.2550544E-03 iter. number =  1100 denomin. =        0.8715523E+03

  global error =        0.1636156E-03 iter. number =  1200 denomin. =        0.8845011E+03

  global error =        0.1483522E-03 iter. number =  1300 denomin. =        0.8951145E+03

  global error =        0.1168816E-03 iter. number =  1400 denomin. =        0.9028738E+03

  convergence  for freq. #    74 achieved in  1484 inner iterations 
 relative error value =       0.99982351E-04


  frequency number    73 frequency :       0.54375000E+00
 jw  real sour, imag sour =     73     -0.15523E+00      0.84193E+00

  global error =        0.6826170E-02 iter. number =   100 denomin. =        0.9314700E+03

  global error =        0.5332710E-02 iter. number =   200 denomin. =        0.8599166E+03

  global error =        0.4772653E-02 iter. number =   300 denomin. =        0.7566025E+03

  global error =        0.4248546E-02 iter. number =   400 denomin. =        0.6490710E+03

  global error =        0.3381026E-02 iter. number =   500 denomin. =        0.5582397E+03

  global error =        0.2512254E-02 iter. number =   600 denomin. =        0.5111840E+03

  global error =        0.1979564E-02 iter. number =   700 denomin. =        0.5237359E+03

  global error =        0.1512621E-02 iter. number =   800 denomin. =        0.5670188E+03

  global error =        0.1149424E-02 iter. number =   900 denomin. =        0.6073331E+03

  global error =        0.8889328E-03 iter. number =  1000 denomin. =        0.6232553E+03

  global error =        0.6874828E-03 iter. number =  1100 denomin. =        0.6121251E+03

  global error =        0.5607467E-03 iter. number =  1200 denomin. =        0.5897237E+03

  global error =        0.4363550E-03 iter. number =  1300 denomin. =        0.5746627E+03

  global error =        0.3464819E-03 iter. number =  1400 denomin. =        0.5728957E+03

  global error =        0.2713468E-03 iter. number =  1500 denomin. =        0.5795628E+03

  global error =        0.2116726E-03 iter. number =  1600 denomin. =        0.5871793E+03

  global error =        0.1670947E-03 iter. number =  1700 denomin. =        0.5909580E+03

  global error =        0.1284477E-03 iter. number =  1800 denomin. =        0.5898143E+03

  global error =        0.1030058E-03 iter. number =  1900 denomin. =        0.5863277E+03

  convergence  for freq. #    73 achieved in  1913 inner iterations 
 relative error value =       0.99978554E-04


  frequency number    72 frequency :       0.53625000E+00
 jw  real sour, imag sour =     72     -0.22692E+00      0.83129E+00

  global error =        0.5520182E-02 iter. number =   100 denomin. =        0.6074761E+03

  global error =        0.4092664E-02 iter. number =   200 denomin. =        0.6550367E+03

  global error =        0.3363133E-02 iter. number =   300 denomin. =        0.7218262E+03

  global error =        0.2770879E-02 iter. number =   400 denomin. =        0.7868156E+03

  global error =        0.2153917E-02 iter. number =   500 denomin. =        0.8311077E+03

  global error =        0.1544147E-02 iter. number =   600 denomin. =        0.8353128E+03

  global error =        0.9934273E-03 iter. number =   700 denomin. =        0.8115486E+03

  global error =        0.7779596E-03 iter. number =   800 denomin. =        0.7728631E+03

  global error =        0.6001287E-03 iter. number =   900 denomin. =        0.7346173E+03

  global error =        0.4542146E-03 iter. number =  1000 denomin. =        0.7050829E+03

  global error =        0.3055917E-03 iter. number =  1100 denomin. =        0.6844451E+03

  global error =        0.2034763E-03 iter. number =  1200 denomin. =        0.6738884E+03

  global error =        0.1525427E-03 iter. number =  1300 denomin. =        0.6700279E+03

  global error =        0.1121757E-03 iter. number =  1400 denomin. =        0.6703300E+03

  convergence  for freq. #    72 achieved in  1445 inner iterations 
 relative error value =       0.99796918E-04


  frequency number    71 frequency :       0.52875000E+00
 jw  real sour, imag sour =     71     -0.29777E+00      0.81417E+00

  global error =        0.5560663E-02 iter. number =   100 denomin. =        0.6851539E+03

  global error =        0.4269909E-02 iter. number =   200 denomin. =        0.6753365E+03

  global error =        0.3515077E-02 iter. number =   300 denomin. =        0.6754798E+03

  global error =        0.2449734E-02 iter. number =   400 denomin. =        0.6846234E+03

  global error =        0.1373495E-02 iter. number =   500 denomin. =        0.7036749E+03

  global error =        0.9189846E-03 iter. number =   600 denomin. =        0.7292218E+03

  global error =        0.5605354E-03 iter. number =   700 denomin. =        0.7497400E+03

  global error =        0.3914624E-03 iter. number =   800 denomin. =        0.7648143E+03

  global error =        0.3059475E-03 iter. number =   900 denomin. =        0.7734374E+03

  global error =        0.2127658E-03 iter. number =  1000 denomin. =        0.7804631E+03

  global error =        0.1647445E-03 iter. number =  1100 denomin. =        0.7868766E+03

  global error =        0.1308237E-03 iter. number =  1200 denomin. =        0.7924341E+03

  convergence  for freq. #    71 achieved in  1295 inner iterations 
 relative error value =       0.99784516E-04


  frequency number    70 frequency :       0.52125000E+00
 jw  real sour, imag sour =     70     -0.36718E+00      0.79063E+00

  global error =        0.6014126E-02 iter. number =   100 denomin. =        0.8156648E+03

  global error =        0.4877655E-02 iter. number =   200 denomin. =        0.7699172E+03

  global error =        0.4106828E-02 iter. number =   300 denomin. =        0.6861799E+03

  global error =        0.3255789E-02 iter. number =   400 denomin. =        0.5844751E+03

  global error =        0.2274211E-02 iter. number =   500 denomin. =        0.4907788E+03

  global error =        0.1559387E-02 iter. number =   600 denomin. =        0.4377981E+03

  global error =        0.1103553E-02 iter. number =   700 denomin. =        0.4360922E+03

  global error =        0.6958205E-03 iter. number =   800 denomin. =        0.4560349E+03

  global error =        0.4041424E-03 iter. number =   900 denomin. =        0.4672895E+03

  global error =        0.2805634E-03 iter. number =  1000 denomin. =        0.4652626E+03

  global error =        0.2354379E-03 iter. number =  1100 denomin. =        0.4568771E+03

  global error =        0.1696407E-03 iter. number =  1200 denomin. =        0.4489113E+03

  global error =        0.1060606E-03 iter. number =  1300 denomin. =        0.4462617E+03

  convergence  for freq. #    70 achieved in  1320 inner iterations 
 relative error value =       0.99762815E-04


  frequency number    69 frequency :       0.51375000E+00
 jw  real sour, imag sour =     69     -0.43452E+00      0.76080E+00

  global error =        0.5422177E-02 iter. number =   100 denomin. =        0.4600682E+03

  global error =        0.4192221E-02 iter. number =   200 denomin. =        0.5014915E+03

  global error =        0.3195180E-02 iter. number =   300 denomin. =        0.5598870E+03

  global error =        0.2412474E-02 iter. number =   400 denomin. =        0.6204095E+03

  global error =        0.1591101E-02 iter. number =   500 denomin. =        0.6587334E+03

  global error =        0.1051381E-02 iter. number =   600 denomin. =        0.6691763E+03

  global error =        0.6966794E-03 iter. number =   700 denomin. =        0.6596672E+03

  global error =        0.5805935E-03 iter. number =   800 denomin. =        0.6414804E+03

  global error =        0.4677040E-03 iter. number =   900 denomin. =        0.6189914E+03

  global error =        0.3443990E-03 iter. number =  1000 denomin. =        0.5973258E+03

  global error =        0.2592446E-03 iter. number =  1100 denomin. =        0.5829701E+03

  global error =        0.1908265E-03 iter. number =  1200 denomin. =        0.5735009E+03

  global error =        0.1307518E-03 iter. number =  1300 denomin. =        0.5658114E+03

  convergence  for freq. #    69 achieved in  1369 inner iterations 
 relative error value =       0.99769451E-04


  frequency number    68 frequency :       0.50625000E+00
 jw  real sour, imag sour =     68     -0.49920E+00      0.72488E+00

  global error =        0.5813719E-02 iter. number =   100 denomin. =        0.5553557E+03

  global error =        0.4341410E-02 iter. number =   200 denomin. =        0.5268973E+03

  global error =        0.3346508E-02 iter. number =   300 denomin. =        0.5227582E+03

  global error =        0.2146271E-02 iter. number =   400 denomin. =        0.5479076E+03

  global error =        0.1342078E-02 iter. number =   500 denomin. =        0.6097861E+03

  global error =        0.1109067E-02 iter. number =   600 denomin. =        0.6846303E+03

  global error =        0.8454408E-03 iter. number =   700 denomin. =        0.7553289E+03

  global error =        0.6380405E-03 iter. number =   800 denomin. =        0.8103106E+03

  global error =        0.3890651E-03 iter. number =   900 denomin. =        0.8482407E+03

  global error =        0.2784658E-03 iter. number =  1000 denomin. =        0.8769765E+03

  global error =        0.2290253E-03 iter. number =  1100 denomin. =        0.9027997E+03

  global error =        0.1915509E-03 iter. number =  1200 denomin. =        0.9251853E+03

  global error =        0.1503567E-03 iter. number =  1300 denomin. =        0.9427124E+03

  global error =        0.1037948E-03 iter. number =  1400 denomin. =        0.9553663E+03

  convergence  for freq. #    68 achieved in  1414 inner iterations 
 relative error value =       0.99887091E-04


  frequency number    67 frequency :       0.49875000E+00
 jw  real sour, imag sour =     67     -0.56062E+00      0.68312E+00

  global error =        0.6647721E-02 iter. number =   100 denomin. =        0.9833633E+03

  global error =        0.5246201E-02 iter. number =   200 denomin. =        0.9079905E+03

  global error =        0.4632517E-02 iter. number =   300 denomin. =        0.8010530E+03

  global error =        0.3954889E-02 iter. number =   400 denomin. =        0.6955391E+03

  global error =        0.2985303E-02 iter. number =   500 denomin. =        0.6175789E+03

  global error =        0.2112345E-02 iter. number =   600 denomin. =        0.5931337E+03

  global error =        0.1509213E-02 iter. number =   700 denomin. =        0.6254405E+03

  global error =        0.1168446E-02 iter. number =   800 denomin. =        0.6776335E+03

  global error =        0.8850943E-03 iter. number =   900 denomin. =        0.7273427E+03

  global error =        0.6273892E-03 iter. number =  1000 denomin. =        0.7576806E+03

  global error =        0.4358886E-03 iter. number =  1100 denomin. =        0.7639095E+03

  global error =        0.3152115E-03 iter. number =  1200 denomin. =        0.7546181E+03

  global error =        0.2479684E-03 iter. number =  1300 denomin. =        0.7432672E+03

  global error =        0.1988237E-03 iter. number =  1400 denomin. =        0.7375438E+03

  global error =        0.1531307E-03 iter. number =  1500 denomin. =        0.7372578E+03

  global error =        0.1106585E-03 iter. number =  1600 denomin. =        0.7398013E+03

  convergence  for freq. #    67 achieved in  1631 inner iterations 
 relative error value =       0.99703553E-04


  frequency number    66 frequency :       0.49125000E+00
 jw  real sour, imag sour =     66     -0.61824E+00      0.63583E+00

  global error =        0.6019811E-02 iter. number =   100 denomin. =        0.7844457E+03

  global error =        0.4534363E-02 iter. number =   200 denomin. =        0.8425592E+03

  global error =        0.3840744E-02 iter. number =   300 denomin. =        0.9087836E+03

  global error =        0.3249546E-02 iter. number =   400 denomin. =        0.9706593E+03

  global error =        0.2593184E-02 iter. number =   500 denomin. =        0.9985480E+03

  global error =        0.1965019E-02 iter. number =   600 denomin. =        0.9699776E+03

  global error =        0.1380077E-02 iter. number =   700 denomin. =        0.8973471E+03

  global error =        0.1162893E-02 iter. number =   800 denomin. =        0.8122369E+03

  global error =        0.9429016E-03 iter. number =   900 denomin. =        0.7397086E+03

  global error =        0.7784505E-03 iter. number =  1000 denomin. =        0.6944867E+03

  global error =        0.6020178E-03 iter. number =  1100 denomin. =        0.6744817E+03

  global error =        0.4653061E-03 iter. number =  1200 denomin. =        0.6775300E+03

  global error =        0.3700867E-03 iter. number =  1300 denomin. =        0.6915000E+03

  global error =        0.2798979E-03 iter. number =  1400 denomin. =        0.7082536E+03

  global error =        0.2239882E-03 iter. number =  1500 denomin. =        0.7221752E+03

  global error =        0.1692403E-03 iter. number =  1600 denomin. =        0.7305605E+03

  global error =        0.1333471E-03 iter. number =  1700 denomin. =        0.7327748E+03

  global error =        0.1042534E-03 iter. number =  1800 denomin. =        0.7309399E+03

  convergence  for freq. #    66 achieved in  1815 inner iterations 
 relative error value =       0.99948672E-04


  frequency number    65 frequency :       0.48375000E+00
 jw  real sour, imag sour =     65     -0.67153E+00      0.58338E+00

  global error =        0.5866215E-02 iter. number =   100 denomin. =        0.7512484E+03

  global error =        0.4097859E-02 iter. number =   200 denomin. =        0.7614928E+03

  global error =        0.3253303E-02 iter. number =   300 denomin. =        0.7917081E+03

  global error =        0.2400395E-02 iter. number =   400 denomin. =        0.8357737E+03

  global error =        0.1501861E-02 iter. number =   500 denomin. =        0.8882094E+03

  global error =        0.1186769E-02 iter. number =   600 denomin. =        0.9325848E+03

  global error =        0.8380808E-03 iter. number =   700 denomin. =        0.9577882E+03

  global error =        0.6240368E-03 iter. number =   800 denomin. =        0.9710385E+03

  global error =        0.3769923E-03 iter. number =   900 denomin. =        0.9740645E+03

  global error =        0.2069811E-03 iter. number =  1000 denomin. =        0.9763047E+03

  global error =        0.1529200E-03 iter. number =  1100 denomin. =        0.9788741E+03

  global error =        0.1234514E-03 iter. number =  1200 denomin. =        0.9821450E+03

  convergence  for freq. #    65 achieved in  1279 inner iterations 
 relative error value =       0.99781207E-04


  frequency number    64 frequency :       0.47625000E+00
 jw  real sour, imag sour =     64     -0.71998E+00      0.52619E+00

  global error =        0.6427759E-02 iter. number =   100 denomin. =        0.9950835E+03

  global error =        0.4949455E-02 iter. number =   200 denomin. =        0.9460175E+03

  global error =        0.4326167E-02 iter. number =   300 denomin. =        0.8582826E+03

  global error =        0.3591942E-02 iter. number =   400 denomin. =        0.7436537E+03

  global error =        0.2605169E-02 iter. number =   500 denomin. =        0.6323908E+03

  global error =        0.1606893E-02 iter. number =   600 denomin. =        0.5805723E+03

  global error =        0.1018492E-02 iter. number =   700 denomin. =        0.5855688E+03

  global error =        0.7571088E-03 iter. number =   800 denomin. =        0.6117576E+03

  global error =        0.5496304E-03 iter. number =   900 denomin. =        0.6292496E+03

  global error =        0.3901663E-03 iter. number =  1000 denomin. =        0.6324865E+03

  global error =        0.2887136E-03 iter. number =  1100 denomin. =        0.6279599E+03

  global error =        0.2228932E-03 iter. number =  1200 denomin. =        0.6250808E+03

  global error =        0.1574236E-03 iter. number =  1300 denomin. =        0.6267169E+03

  global error =        0.1237534E-03 iter. number =  1400 denomin. =        0.6289619E+03

  global error =        0.1007284E-03 iter. number =  1500 denomin. =        0.6289759E+03

  convergence  for freq. #    64 achieved in  1504 inner iterations 
 relative error value =       0.99859606E-04


  frequency number    63 frequency :       0.46875000E+00
 jw  real sour, imag sour =     63     -0.76317E+00      0.46473E+00

  global error =        0.5696113E-02 iter. number =   100 denomin. =        0.6444756E+03

  global error =        0.4644456E-02 iter. number =   200 denomin. =        0.6786487E+03

  global error =        0.3806460E-02 iter. number =   300 denomin. =        0.7165532E+03

  global error =        0.2954597E-02 iter. number =   400 denomin. =        0.7367879E+03

  global error =        0.2036109E-02 iter. number =   500 denomin. =        0.7136247E+03

  global error =        0.1422200E-02 iter. number =   600 denomin. =        0.6529990E+03

  global error =        0.9675102E-03 iter. number =   700 denomin. =        0.5741239E+03

  global error =        0.7516284E-03 iter. number =   800 denomin. =        0.5154928E+03

  global error =        0.5503066E-03 iter. number =   900 denomin. =        0.4858565E+03

  global error =        0.3617051E-03 iter. number =  1000 denomin. =        0.4780009E+03

  global error =        0.2433437E-03 iter. number =  1100 denomin. =        0.4831609E+03

  global error =        0.1961040E-03 iter. number =  1200 denomin. =        0.4941916E+03

  global error =        0.1601206E-03 iter. number =  1300 denomin. =        0.5040181E+03

  global error =        0.1272851E-03 iter. number =  1400 denomin. =        0.5101519E+03

  convergence  for freq. #    63 achieved in  1467 inner iterations 
 relative error value =       0.99782790E-04


  frequency number    62 frequency :       0.46125000E+00
 jw  real sour, imag sour =     62     -0.80067E+00      0.39951E+00

  global error =        0.5411998E-02 iter. number =   100 denomin. =        0.5240745E+03

  global error =        0.4179570E-02 iter. number =   200 denomin. =        0.5336235E+03

  global error =        0.3019536E-02 iter. number =   300 denomin. =        0.5756908E+03

  global error =        0.2012719E-02 iter. number =   400 denomin. =        0.6414456E+03

  global error =        0.1210840E-02 iter. number =   500 denomin. =        0.7126682E+03

  global error =        0.9190866E-03 iter. number =   600 denomin. =        0.7799719E+03

  global error =        0.6855071E-03 iter. number =   700 denomin. =        0.8380119E+03

  global error =        0.5188994E-03 iter. number =   800 denomin. =        0.8821847E+03

  global error =        0.3644075E-03 iter. number =   900 denomin. =        0.9138563E+03

  global error =        0.2610475E-03 iter. number =  1000 denomin. =        0.9367379E+03

  global error =        0.2150202E-03 iter. number =  1100 denomin. =        0.9561876E+03

  global error =        0.1718567E-03 iter. number =  1200 denomin. =        0.9719923E+03

  global error =        0.1283610E-03 iter. number =  1300 denomin. =        0.9829604E+03

  convergence  for freq. #    62 achieved in  1367 inner iterations 
 relative error value =       0.99663361E-04


  frequency number    61 frequency :       0.45375000E+00
 jw  real sour, imag sour =     61     -0.83215E+00      0.33109E+00

  global error =        0.6516037E-02 iter. number =   100 denomin. =        0.9932136E+03

  global error =        0.5260730E-02 iter. number =   200 denomin. =        0.8790182E+03

  global error =        0.4603824E-02 iter. number =   300 denomin. =        0.7391223E+03

  global error =        0.3721635E-02 iter. number =   400 denomin. =        0.6093645E+03

  global error =        0.2663881E-02 iter. number =   500 denomin. =        0.5415847E+03

  global error =        0.1908238E-02 iter. number =   600 denomin. =        0.5550955E+03

  global error =        0.1427883E-02 iter. number =   700 denomin. =        0.6193075E+03

  global error =        0.1043644E-02 iter. number =   800 denomin. =        0.6893651E+03

  global error =        0.6282863E-03 iter. number =   900 denomin. =        0.7321939E+03

  global error =        0.3628145E-03 iter. number =  1000 denomin. =        0.7431193E+03

  global error =        0.2745211E-03 iter. number =  1100 denomin. =        0.7427716E+03

  global error =        0.2152072E-03 iter. number =  1200 denomin. =        0.7421772E+03

  global error =        0.1682805E-03 iter. number =  1300 denomin. =        0.7444010E+03

  global error =        0.1034256E-03 iter. number =  1400 denomin. =        0.7471564E+03

  convergence  for freq. #    61 achieved in  1407 inner iterations 
 relative error value =       0.99688556E-04


  frequency number    60 frequency :       0.44625000E+00
 jw  real sour, imag sour =     60     -0.85732E+00      0.26006E+00

  global error =        0.6074379E-02 iter. number =   100 denomin. =        0.7818606E+03

  global error =        0.4646196E-02 iter. number =   200 denomin. =        0.8322031E+03

  global error =        0.3875009E-02 iter. number =   300 denomin. =        0.8765041E+03

  global error =        0.3223214E-02 iter. number =   400 denomin. =        0.9157427E+03

  global error =        0.2582675E-02 iter. number =   500 denomin. =        0.9251466E+03

  global error =        0.1895664E-02 iter. number =   600 denomin. =        0.9026359E+03

  global error =        0.1286130E-02 iter. number =   700 denomin. =        0.8524135E+03

  global error =        0.1018910E-02 iter. number =   800 denomin. =        0.7928054E+03

  global error =        0.8401870E-03 iter. number =   900 denomin. =        0.7434844E+03

  global error =        0.7173683E-03 iter. number =  1000 denomin. =        0.7127515E+03

  global error =        0.5524436E-03 iter. number =  1100 denomin. =        0.7035584E+03

  global error =        0.4219145E-03 iter. number =  1200 denomin. =        0.7125915E+03

  global error =        0.3241144E-03 iter. number =  1300 denomin. =        0.7279984E+03

  global error =        0.2544906E-03 iter. number =  1400 denomin. =        0.7422768E+03

  global error =        0.1999133E-03 iter. number =  1500 denomin. =        0.7521978E+03

  global error =        0.1491013E-03 iter. number =  1600 denomin. =        0.7559142E+03

  global error =        0.1154982E-03 iter. number =  1700 denomin. =        0.7546267E+03

  convergence  for freq. #    60 achieved in  1759 inner iterations 
 relative error value =       0.99915597E-04


  frequency number    59 frequency :       0.43875000E+00
 jw  real sour, imag sour =     59     -0.87594E+00      0.18704E+00

  global error =        0.6023377E-02 iter. number =   100 denomin. =        0.7990734E+03

  global error =        0.4251686E-02 iter. number =   200 denomin. =        0.8444532E+03

  global error =        0.3428072E-02 iter. number =   300 denomin. =        0.9180842E+03

  global error =        0.2703417E-02 iter. number =   400 denomin. =        0.1015790E+04

  global error =        0.1976494E-02 iter. number =   500 denomin. =        0.1103044E+04

  global error =        0.1614524E-02 iter. number =   600 denomin. =        0.1153045E+04

  global error =        0.1091322E-02 iter. number =   700 denomin. =        0.1158415E+04

  global error =        0.8079356E-03 iter. number =   800 denomin. =        0.1140168E+04

  global error =        0.5406506E-03 iter. number =   900 denomin. =        0.1104914E+04

  global error =        0.3787886E-03 iter. number =  1000 denomin. =        0.1068356E+04

  global error =        0.2896388E-03 iter. number =  1100 denomin. =        0.1032695E+04

  global error =        0.2004099E-03 iter. number =  1200 denomin. =        0.1009097E+04

  global error =        0.1587338E-03 iter. number =  1300 denomin. =        0.9943588E+03

  global error =        0.1149626E-03 iter. number =  1400 denomin. =        0.9876136E+03

  convergence  for freq. #    59 achieved in  1458 inner iterations 
 relative error value =       0.99816626E-04


  frequency number    58 frequency :       0.43125000E+00
 jw  real sour, imag sour =     58     -0.88783E+00      0.11267E+00

  global error =        0.6522501E-02 iter. number =   100 denomin. =        0.9973876E+03

  global error =        0.4629845E-02 iter. number =   200 denomin. =        0.9382303E+03

  global error =        0.3887078E-02 iter. number =   300 denomin. =        0.8462186E+03

  global error =        0.3096573E-02 iter. number =   400 denomin. =        0.7520427E+03

  global error =        0.1878755E-02 iter. number =   500 denomin. =        0.6960165E+03

  global error =        0.1155577E-02 iter. number =   600 denomin. =        0.7056059E+03

  global error =        0.9214155E-03 iter. number =   700 denomin. =        0.7340788E+03

  global error =        0.7412947E-03 iter. number =   800 denomin. =        0.7538586E+03

  global error =        0.6321812E-03 iter. number =   900 denomin. =        0.7542639E+03

  global error =        0.4819571E-03 iter. number =  1000 denomin. =        0.7479915E+03

  global error =        0.3447673E-03 iter. number =  1100 denomin. =        0.7520047E+03

  global error =        0.2754007E-03 iter. number =  1200 denomin. =        0.7620724E+03

  global error =        0.2094557E-03 iter. number =  1300 denomin. =        0.7693156E+03

  global error =        0.1628901E-03 iter. number =  1400 denomin. =        0.7704018E+03

  global error =        0.1214807E-03 iter. number =  1500 denomin. =        0.7678677E+03

  convergence  for freq. #    58 achieved in  1587 inner iterations 
 relative error value =       0.99970835E-04


  frequency number    57 frequency :       0.42375000E+00
 jw  real sour, imag sour =     57     -0.89291E+00      0.37591E-01

  global error =        0.6137681E-02 iter. number =   100 denomin. =        0.7801149E+03

  global error =        0.4949949E-02 iter. number =   200 denomin. =        0.8191524E+03

  global error =        0.4251332E-02 iter. number =   300 denomin. =        0.8518646E+03

  global error =        0.3492742E-02 iter. number =   400 denomin. =        0.8636946E+03

  global error =        0.2762431E-02 iter. number =   500 denomin. =        0.8319324E+03

  global error =        0.1924764E-02 iter. number =   600 denomin. =        0.7621438E+03

  global error =        0.1239611E-02 iter. number =   700 denomin. =        0.6733467E+03

  global error =        0.1055200E-02 iter. number =   800 denomin. =        0.6016883E+03

  global error =        0.7999872E-03 iter. number =   900 denomin. =        0.5622512E+03

  global error =        0.5729934E-03 iter. number =  1000 denomin. =        0.5508487E+03

  global error =        0.3275976E-03 iter. number =  1100 denomin. =        0.5549371E+03

  global error =        0.1816303E-03 iter. number =  1200 denomin. =        0.5655036E+03

  global error =        0.1496706E-03 iter. number =  1300 denomin. =        0.5746396E+03

  global error =        0.1237392E-03 iter. number =  1400 denomin. =        0.5812056E+03

  convergence  for freq. #    57 achieved in  1482 inner iterations 
 relative error value =       0.99741498E-04


  frequency number    56 frequency :       0.41625000E+00
 jw  real sour, imag sour =     56     -0.89113E+00     -0.37517E-01

  global error =        0.5661795E-02 iter. number =   100 denomin. =        0.6106902E+03

  global error =        0.4536368E-02 iter. number =   200 denomin. =        0.6501517E+03

  global error =        0.3615742E-02 iter. number =   300 denomin. =        0.7193432E+03

  global error =        0.2585480E-02 iter. number =   400 denomin. =        0.7888116E+03

  global error =        0.1546128E-02 iter. number =   500 denomin. =        0.8180015E+03

  global error =        0.1135691E-02 iter. number =   600 denomin. =        0.8067305E+03

  global error =        0.7607913E-03 iter. number =   700 denomin. =        0.7666729E+03

  global error =        0.6028789E-03 iter. number =   800 denomin. =        0.7253331E+03

  global error =        0.4999559E-03 iter. number =   900 denomin. =        0.6912978E+03

  global error =        0.3538735E-03 iter. number =  1000 denomin. =        0.6642878E+03

  global error =        0.2589759E-03 iter. number =  1100 denomin. =        0.6422995E+03

  global error =        0.1959547E-03 iter. number =  1200 denomin. =        0.6261685E+03

  global error =        0.1400650E-03 iter. number =  1300 denomin. =        0.6175920E+03

  convergence  for freq. #    56 achieved in  1385 inner iterations 
 relative error value =       0.99750568E-04


  frequency number    55 frequency :       0.40875000E+00
 jw  real sour, imag sour =     55     -0.88252E+00     -0.11199E+00

  global error =        0.5731473E-02 iter. number =   100 denomin. =        0.6133201E+03

  global error =        0.4471620E-02 iter. number =   200 denomin. =        0.5562970E+03

  global error =        0.3304745E-02 iter. number =   300 denomin. =        0.5135450E+03

  global error =        0.2303557E-02 iter. number =   400 denomin. =        0.5064651E+03

  global error =        0.1608228E-02 iter. number =   500 denomin. =        0.5457965E+03

  global error =        0.1278492E-02 iter. number =   600 denomin. =        0.6130225E+03

  global error =        0.9806032E-03 iter. number =   700 denomin. =        0.6752449E+03

  global error =        0.6537020E-03 iter. number =   800 denomin. =        0.7137207E+03

  global error =        0.4212695E-03 iter. number =   900 denomin. =        0.7274374E+03

  global error =        0.3647832E-03 iter. number =  1000 denomin. =        0.7329896E+03

  global error =        0.2857044E-03 iter. number =  1100 denomin. =        0.7439808E+03

  global error =        0.1931067E-03 iter. number =  1200 denomin. =        0.7539801E+03

  global error =        0.1308097E-03 iter. number =  1300 denomin. =        0.7571451E+03

  global error =        0.1031337E-03 iter. number =  1400 denomin. =        0.7539605E+03

  convergence  for freq. #    55 achieved in  1463 inner iterations 
 relative error value =       0.99955015E-04


  frequency number    54 frequency :       0.40125000E+00
 jw  real sour, imag sour =     54     -0.86719E+00     -0.18517E+00

  global error =        0.6031835E-02 iter. number =   100 denomin. =        0.7757781E+03

  global error =        0.4777932E-02 iter. number =   200 denomin. =        0.8181003E+03

  global error =        0.3983987E-02 iter. number =   300 denomin. =        0.8483950E+03

  global error =        0.3234673E-02 iter. number =   400 denomin. =        0.8600577E+03

  global error =        0.2371560E-02 iter. number =   500 denomin. =        0.8341888E+03

  global error =        0.1696701E-02 iter. number =   600 denomin. =        0.7946465E+03

  global error =        0.1167713E-02 iter. number =   700 denomin. =        0.7564240E+03

  global error =        0.8483420E-03 iter. number =   800 denomin. =        0.7272007E+03

  global error =        0.6202949E-03 iter. number =   900 denomin. =        0.7104783E+03

  global error =        0.4842685E-03 iter. number =  1000 denomin. =        0.7073041E+03

  global error =        0.3830869E-03 iter. number =  1100 denomin. =        0.7104897E+03

  global error =        0.2751012E-03 iter. number =  1200 denomin. =        0.7171294E+03

  global error =        0.1920594E-03 iter. number =  1300 denomin. =        0.7235709E+03

  global error =        0.1360210E-03 iter. number =  1400 denomin. =        0.7269669E+03

  convergence  for freq. #    54 achieved in  1490 inner iterations 
 relative error value =       0.99869774E-04


  frequency number    53 frequency :       0.39375000E+00
 jw  real sour, imag sour =     53     -0.84529E+00     -0.25642E+00

  global error =        0.6088768E-02 iter. number =   100 denomin. =        0.7698927E+03

  global error =        0.4580054E-02 iter. number =   200 denomin. =        0.8117896E+03

  global error =        0.3736127E-02 iter. number =   300 denomin. =        0.8673380E+03

  global error =        0.2857126E-02 iter. number =   400 denomin. =        0.9369939E+03

  global error =        0.2247160E-02 iter. number =   500 denomin. =        0.9873227E+03

  global error =        0.1810652E-02 iter. number =   600 denomin. =        0.1001181E+04

  global error =        0.1307576E-02 iter. number =   700 denomin. =        0.9654866E+03

  global error =        0.1013461E-02 iter. number =   800 denomin. =        0.9045063E+03

  global error =        0.7290607E-03 iter. number =   900 denomin. =        0.8410237E+03

  global error =        0.6153034E-03 iter. number =  1000 denomin. =        0.7909725E+03

  global error =        0.5119666E-03 iter. number =  1100 denomin. =        0.7520574E+03

  global error =        0.4179544E-03 iter. number =  1200 denomin. =        0.7321960E+03

  global error =        0.3227949E-03 iter. number =  1300 denomin. =        0.7264641E+03

  global error =        0.2364719E-03 iter. number =  1400 denomin. =        0.7320831E+03

  global error =        0.1899777E-03 iter. number =  1500 denomin. =        0.7420967E+03

  global error =        0.1471509E-03 iter. number =  1600 denomin. =        0.7527906E+03

  global error =        0.1178209E-03 iter. number =  1700 denomin. =        0.7614192E+03

  convergence  for freq. #    53 achieved in  1760 inner iterations 
 relative error value =       0.99804215E-04


  frequency number    52 frequency :       0.38625000E+00
 jw  real sour, imag sour =     52     -0.81706E+00     -0.32509E+00

  global error =        0.6274267E-02 iter. number =   100 denomin. =        0.8008955E+03

  global error =        0.4161259E-02 iter. number =   200 denomin. =        0.7916161E+03

  global error =        0.3097664E-02 iter. number =   300 denomin. =        0.7814202E+03

  global error =        0.2384033E-02 iter. number =   400 denomin. =        0.8026480E+03

  global error =        0.1545823E-02 iter. number =   500 denomin. =        0.8507873E+03

  global error =        0.1254444E-02 iter. number =   600 denomin. =        0.9106999E+03

  global error =        0.8644696E-03 iter. number =   700 denomin. =        0.9488848E+03

  global error =        0.5663551E-03 iter. number =   800 denomin. =        0.9718249E+03

  global error =        0.3596499E-03 iter. number =   900 denomin. =        0.9884691E+03

  global error =        0.2153208E-03 iter. number =  1000 denomin. =        0.9998775E+03

  global error =        0.1575909E-03 iter. number =  1100 denomin. =        0.1009954E+04

  global error =        0.1177547E-03 iter. number =  1200 denomin. =        0.1017937E+04

  convergence  for freq. #    52 achieved in  1261 inner iterations 
 relative error value =       0.99946835E-04


  frequency number    51 frequency :       0.37875000E+00
 jw  real sour, imag sour =     51     -0.78279E+00     -0.39059E+00

  global error =        0.6988565E-02 iter. number =   100 denomin. =        0.1028345E+04

  global error =        0.5390478E-02 iter. number =   200 denomin. =        0.1042809E+04

  global error =        0.4886330E-02 iter. number =   300 denomin. =        0.1038948E+04

  global error =        0.4239602E-02 iter. number =   400 denomin. =        0.9837141E+03

  global error =        0.3367175E-02 iter. number =   500 denomin. =        0.8844393E+03

  global error =        0.2297875E-02 iter. number =   600 denomin. =        0.7890791E+03

  global error =        0.1449497E-02 iter. number =   700 denomin. =        0.7251681E+03

  global error =        0.1151312E-02 iter. number =   800 denomin. =        0.6849872E+03

  global error =        0.7657314E-03 iter. number =   900 denomin. =        0.6723176E+03

  global error =        0.4717063E-03 iter. number =  1000 denomin. =        0.6770961E+03

  global error =        0.3240811E-03 iter. number =  1100 denomin. =        0.6799499E+03

  global error =        0.2416207E-03 iter. number =  1200 denomin. =        0.6785175E+03

  global error =        0.1969202E-03 iter. number =  1300 denomin. =        0.6737804E+03

  global error =        0.1633572E-03 iter. number =  1400 denomin. =        0.6692835E+03

  global error =        0.1214924E-03 iter. number =  1500 denomin. =        0.6676035E+03

  convergence  for freq. #    51 achieved in  1565 inner iterations 
 relative error value =       0.99975999E-04


  frequency number    50 frequency :       0.37125000E+00
 jw  real sour, imag sour =     50     -0.74284E+00     -0.45235E+00

  global error =        0.6202290E-02 iter. number =   100 denomin. =        0.6941744E+03

  global error =        0.4908798E-02 iter. number =   200 denomin. =        0.7338823E+03

  global error =        0.4170716E-02 iter. number =   300 denomin. =        0.7879703E+03

  global error =        0.3245651E-02 iter. number =   400 denomin. =        0.8294490E+03

  global error =        0.2406792E-02 iter. number =   500 denomin. =        0.8239045E+03

  global error =        0.1848910E-02 iter. number =   600 denomin. =        0.7578425E+03

  global error =        0.1320591E-02 iter. number =   700 denomin. =        0.6478882E+03

  global error =        0.1132877E-02 iter. number =   800 denomin. =        0.5468296E+03

  global error =        0.7712793E-03 iter. number =   900 denomin. =        0.4822656E+03

  global error =        0.5626686E-03 iter. number =  1000 denomin. =        0.4535048E+03

  global error =        0.4556344E-03 iter. number =  1100 denomin. =        0.4411181E+03

  global error =        0.3900681E-03 iter. number =  1200 denomin. =        0.4406959E+03

  global error =        0.3146037E-03 iter. number =  1300 denomin. =        0.4467247E+03

  global error =        0.2236370E-03 iter. number =  1400 denomin. =        0.4551502E+03

  global error =        0.1706781E-03 iter. number =  1500 denomin. =        0.4630668E+03

  global error =        0.1347211E-03 iter. number =  1600 denomin. =        0.4703268E+03

  global error =        0.1129069E-03 iter. number =  1700 denomin. =        0.4755892E+03

  convergence  for freq. #    50 achieved in  1746 inner iterations 
 relative error value =       0.99871899E-04


  frequency number    49 frequency :       0.36375000E+00
 jw  real sour, imag sour =     49     -0.69763E+00     -0.50985E+00

  global error =        0.5637025E-02 iter. number =   100 denomin. =        0.4854178E+03

  global error =        0.4208487E-02 iter. number =   200 denomin. =        0.4860638E+03

  global error =        0.3071641E-02 iter. number =   300 denomin. =        0.5197735E+03

  global error =        0.2213902E-02 iter. number =   400 denomin. =        0.5784064E+03

  global error =        0.1272437E-02 iter. number =   500 denomin. =        0.6449517E+03

  global error =        0.9494088E-03 iter. number =   600 denomin. =        0.7091285E+03

  global error =        0.7198168E-03 iter. number =   700 denomin. =        0.7623541E+03

  global error =        0.5026369E-03 iter. number =   800 denomin. =        0.7973488E+03

  global error =        0.3357613E-03 iter. number =   900 denomin. =        0.8178388E+03

  global error =        0.2166714E-03 iter. number =  1000 denomin. =        0.8292424E+03

  global error =        0.1644392E-03 iter. number =  1100 denomin. =        0.8397233E+03

  global error =        0.1252241E-03 iter. number =  1200 denomin. =        0.8488036E+03

  convergence  for freq. #    49 achieved in  1267 inner iterations 
 relative error value =       0.99947601E-04


  frequency number    48 frequency :       0.35625000E+00
 jw  real sour, imag sour =     48     -0.64760E+00     -0.56259E+00

  global error =        0.6114320E-02 iter. number =   100 denomin. =        0.8721326E+03

  global error =        0.5220089E-02 iter. number =   200 denomin. =        0.8249680E+03

  global error =        0.4493408E-02 iter. number =   300 denomin. =        0.7488007E+03

  global error =        0.3587647E-02 iter. number =   400 denomin. =        0.6494495E+03

  global error =        0.2594017E-02 iter. number =   500 denomin. =        0.5651569E+03

  global error =        0.1927460E-02 iter. number =   600 denomin. =        0.5265655E+03

  global error =        0.1498956E-02 iter. number =   700 denomin. =        0.5405461E+03

  global error =        0.1197812E-02 iter. number =   800 denomin. =        0.5841007E+03

  global error =        0.8282019E-03 iter. number =   900 denomin. =        0.6221854E+03

  global error =        0.5397000E-03 iter. number =  1000 denomin. =        0.6316571E+03

  global error =        0.4198631E-03 iter. number =  1100 denomin. =        0.6185379E+03

  global error =        0.3810399E-03 iter. number =  1200 denomin. =        0.6006269E+03

  global error =        0.3193399E-03 iter. number =  1300 denomin. =        0.5903661E+03

  global error =        0.2287838E-03 iter. number =  1400 denomin. =        0.5900585E+03

  global error =        0.1556459E-03 iter. number =  1500 denomin. =        0.5931270E+03

  global error =        0.1171433E-03 iter. number =  1600 denomin. =        0.5937675E+03

  global error =        0.1032640E-03 iter. number =  1700 denomin. =        0.5907056E+03

  convergence  for freq. #    48 achieved in  1724 inner iterations 
 relative error value =       0.99985812E-04


  frequency number    47 frequency :       0.34875000E+00
 jw  real sour, imag sour =     47     -0.59328E+00     -0.61016E+00

  global error =        0.5880482E-02 iter. number =   100 denomin. =        0.6148690E+03

  global error =        0.4604193E-02 iter. number =   200 denomin. =        0.6515862E+03

  global error =        0.3645573E-02 iter. number =   300 denomin. =        0.6919882E+03

  global error =        0.2799584E-02 iter. number =   400 denomin. =        0.7294690E+03

  global error =        0.2057983E-02 iter. number =   500 denomin. =        0.7416787E+03

  global error =        0.1529049E-02 iter. number =   600 denomin. =        0.7336388E+03

  global error =        0.9856985E-03 iter. number =   700 denomin. =        0.7042158E+03

  global error =        0.6831584E-03 iter. number =   800 denomin. =        0.6680992E+03

  global error =        0.5142270E-03 iter. number =   900 denomin. =        0.6363921E+03

  global error =        0.4174879E-03 iter. number =  1000 denomin. =        0.6141862E+03

  global error =        0.3368014E-03 iter. number =  1100 denomin. =        0.5994274E+03

  global error =        0.2523179E-03 iter. number =  1200 denomin. =        0.5935624E+03

  global error =        0.1818248E-03 iter. number =  1300 denomin. =        0.5938860E+03

  global error =        0.1380410E-03 iter. number =  1400 denomin. =        0.5972344E+03

  global error =        0.1085385E-03 iter. number =  1500 denomin. =        0.6008483E+03

  convergence  for freq. #    47 achieved in  1535 inner iterations 
 relative error value =       0.99893959E-04


  frequency number    46 frequency :       0.34125000E+00
 jw  real sour, imag sour =     46     -0.53521E+00     -0.65216E+00

  global error =        0.6036139E-02 iter. number =   100 denomin. =        0.6386636E+03

  global error =        0.4118365E-02 iter. number =   200 denomin. =        0.6663311E+03

  global error =        0.3138300E-02 iter. number =   300 denomin. =        0.7102557E+03

  global error =        0.2422116E-02 iter. number =   400 denomin. =        0.7848697E+03

  global error =        0.1885487E-02 iter. number =   500 denomin. =        0.8751463E+03

  global error =        0.1581696E-02 iter. number =   600 denomin. =        0.9599398E+03

  global error =        0.1061868E-02 iter. number =   700 denomin. =        0.1010529E+04

  global error =        0.7219192E-03 iter. number =   800 denomin. =        0.1035536E+04

  global error =        0.4999293E-03 iter. number =   900 denomin. =        0.1048602E+04

  global error =        0.3831067E-03 iter. number =  1000 denomin. =        0.1053693E+04

  global error =        0.2731186E-03 iter. number =  1100 denomin. =        0.1045246E+04

  global error =        0.1621553E-03 iter. number =  1200 denomin. =        0.1031970E+04

  global error =        0.1128301E-03 iter. number =  1300 denomin. =        0.1019615E+04

  convergence  for freq. #    46 achieved in  1334 inner iterations 
 relative error value =       0.99656609E-04


  frequency number    45 frequency :       0.33375000E+00
 jw  real sour, imag sour =     45     -0.47399E+00     -0.68828E+00

  global error =        0.7312661E-02 iter. number =   100 denomin. =        0.1024114E+04

  global error =        0.5353606E-02 iter. number =   200 denomin. =        0.9540667E+03

  global error =        0.4779651E-02 iter. number =   300 denomin. =        0.8546363E+03

  global error =        0.4030093E-02 iter. number =   400 denomin. =        0.7584213E+03

  global error =        0.2695822E-02 iter. number =   500 denomin. =        0.6880262E+03

  global error =        0.1695465E-02 iter. number =   600 denomin. =        0.6825562E+03

  global error =        0.1079566E-02 iter. number =   700 denomin. =        0.7116008E+03

  global error =        0.8694336E-03 iter. number =   800 denomin. =        0.7371354E+03

  global error =        0.8097076E-03 iter. number =   900 denomin. =        0.7560824E+03

  global error =        0.6093067E-03 iter. number =  1000 denomin. =        0.7627617E+03

  global error =        0.4016502E-03 iter. number =  1100 denomin. =        0.7575612E+03

  global error =        0.3373246E-03 iter. number =  1200 denomin. =        0.7526221E+03

  global error =        0.2987600E-03 iter. number =  1300 denomin. =        0.7497032E+03

  global error =        0.2364467E-03 iter. number =  1400 denomin. =        0.7500154E+03

  global error =        0.1532841E-03 iter. number =  1500 denomin. =        0.7495579E+03

  global error =        0.1078121E-03 iter. number =  1600 denomin. =        0.7453957E+03

  convergence  for freq. #    45 achieved in  1639 inner iterations 
 relative error value =       0.99962384E-04


  frequency number    44 frequency :       0.32625000E+00
 jw  real sour, imag sour =     44     -0.41023E+00     -0.71827E+00

  global error =        0.7026392E-02 iter. number =   100 denomin. =        0.7639166E+03

  global error =        0.5310220E-02 iter. number =   200 denomin. =        0.7946247E+03

  global error =        0.4648750E-02 iter. number =   300 denomin. =        0.8240214E+03

  global error =        0.4016255E-02 iter. number =   400 denomin. =        0.8382696E+03

  global error =        0.3283467E-02 iter. number =   500 denomin. =        0.8176785E+03

  global error =        0.2353862E-02 iter. number =   600 denomin. =        0.7376418E+03

  global error =        0.1436937E-02 iter. number =   700 denomin. =        0.6309989E+03

  global error =        0.1202629E-02 iter. number =   800 denomin. =        0.5357107E+03

  global error =        0.8876677E-03 iter. number =   900 denomin. =        0.4696733E+03

  global error =        0.6091263E-03 iter. number =  1000 denomin. =        0.4382890E+03

  global error =        0.4042219E-03 iter. number =  1100 denomin. =        0.4268623E+03

  global error =        0.2500371E-03 iter. number =  1200 denomin. =        0.4266696E+03

  global error =        0.1926305E-03 iter. number =  1300 denomin. =        0.4311604E+03

  global error =        0.1603551E-03 iter. number =  1400 denomin. =        0.4368403E+03

  global error =        0.1362523E-03 iter. number =  1500 denomin. =        0.4424890E+03

  global error =        0.1111770E-03 iter. number =  1600 denomin. =        0.4480137E+03

  convergence  for freq. #    44 achieved in  1645 inner iterations 
 relative error value =       0.99771877E-04


  frequency number    43 frequency :       0.31875000E+00
 jw  real sour, imag sour =     43     -0.34457E+00     -0.74195E+00

  global error =        0.6092539E-02 iter. number =   100 denomin. =        0.4623394E+03

  global error =        0.4493039E-02 iter. number =   200 denomin. =        0.4826068E+03

  global error =        0.3642489E-02 iter. number =   300 denomin. =        0.5322161E+03

  global error =        0.2753231E-02 iter. number =   400 denomin. =        0.5944564E+03

  global error =        0.1761727E-02 iter. number =   500 denomin. =        0.6457169E+03

  global error =        0.1324800E-02 iter. number =   600 denomin. =        0.6676636E+03

  global error =        0.8295472E-03 iter. number =   700 denomin. =        0.6639320E+03

  global error =        0.6877655E-03 iter. number =   800 denomin. =        0.6420217E+03

  global error =        0.6322806E-03 iter. number =   900 denomin. =        0.6197159E+03

  global error =        0.5561978E-03 iter. number =  1000 denomin. =        0.5971186E+03

  global error =        0.4087449E-03 iter. number =  1100 denomin. =        0.5732177E+03

  global error =        0.3005206E-03 iter. number =  1200 denomin. =        0.5483714E+03

  global error =        0.2592039E-03 iter. number =  1300 denomin. =        0.5269327E+03

  global error =        0.2034675E-03 iter. number =  1400 denomin. =        0.5104633E+03

  global error =        0.1644029E-03 iter. number =  1500 denomin. =        0.4996359E+03

  global error =        0.1214578E-03 iter. number =  1600 denomin. =        0.4928949E+03

  convergence  for freq. #    43 achieved in  1677 inner iterations 
 relative error value =       0.99978125E-04


  frequency number    42 frequency :       0.31125000E+00
 jw  real sour, imag sour =     42     -0.27766E+00     -0.75918E+00

  global error =        0.5845065E-02 iter. number =   100 denomin. =        0.4953682E+03

  global error =        0.4643941E-02 iter. number =   200 denomin. =        0.4687258E+03

  global error =        0.3689631E-02 iter. number =   300 denomin. =        0.4649783E+03

  global error =        0.2788921E-02 iter. number =   400 denomin. =        0.4790809E+03

  global error =        0.1796266E-02 iter. number =   500 denomin. =        0.5118003E+03

  global error =        0.1459269E-02 iter. number =   600 denomin. =        0.5591001E+03

  global error =        0.1195334E-02 iter. number =   700 denomin. =        0.6069116E+03

  global error =        0.8745863E-03 iter. number =   800 denomin. =        0.6387178E+03

  global error =        0.6243259E-03 iter. number =   900 denomin. =        0.6483762E+03

  global error =        0.4561494E-03 iter. number =  1000 denomin. =        0.6436001E+03

  global error =        0.3590970E-03 iter. number =  1100 denomin. =        0.6404769E+03

  global error =        0.2872326E-03 iter. number =  1200 denomin. =        0.6433235E+03

  global error =        0.2202221E-03 iter. number =  1300 denomin. =        0.6477873E+03

  global error =        0.1581600E-03 iter. number =  1400 denomin. =        0.6492771E+03

  global error =        0.1231246E-03 iter. number =  1500 denomin. =        0.6467328E+03

  global error =        0.1048466E-03 iter. number =  1600 denomin. =        0.6428565E+03

  convergence  for freq. #    42 achieved in  1629 inner iterations 
 relative error value =       0.99999358E-04


  frequency number    41 frequency :       0.30375000E+00
 jw  real sour, imag sour =     41     -0.21017E+00     -0.76993E+00

  global error =        0.5946693E-02 iter. number =   100 denomin. =        0.6674084E+03

  global error =        0.5118211E-02 iter. number =   200 denomin. =        0.6545080E+03

  global error =        0.4289695E-02 iter. number =   300 denomin. =        0.6241144E+03

  global error =        0.3401907E-02 iter. number =   400 denomin. =        0.5665710E+03

  global error =        0.2476209E-02 iter. number =   500 denomin. =        0.4961918E+03

  global error =        0.1933388E-02 iter. number =   600 denomin. =        0.4390889E+03

  global error =        0.1543103E-02 iter. number =   700 denomin. =        0.4215242E+03

  global error =        0.1212916E-02 iter. number =   800 denomin. =        0.4379190E+03

  global error =        0.8313846E-03 iter. number =   900 denomin. =        0.4619610E+03

  global error =        0.5875338E-03 iter. number =  1000 denomin. =        0.4712022E+03

  global error =        0.4914831E-03 iter. number =  1100 denomin. =        0.4621932E+03

  global error =        0.4303586E-03 iter. number =  1200 denomin. =        0.4443222E+03

  global error =        0.3413160E-03 iter. number =  1300 denomin. =        0.4301369E+03

  global error =        0.2515504E-03 iter. number =  1400 denomin. =        0.4254663E+03

  global error =        0.1949597E-03 iter. number =  1500 denomin. =        0.4283731E+03

  global error =        0.1522971E-03 iter. number =  1600 denomin. =        0.4335737E+03

  global error =        0.1222279E-03 iter. number =  1700 denomin. =        0.4368672E+03

  convergence  for freq. #    41 achieved in  1788 inner iterations 
 relative error value =       0.99788848E-04


  frequency number    40 frequency :       0.29625000E+00
 jw  real sour, imag sour =     40     -0.14274E+00     -0.77421E+00

  global error =        0.5814091E-02 iter. number =   100 denomin. =        0.4576550E+03

  global error =        0.4204889E-02 iter. number =   200 denomin. =        0.4891031E+03

  global error =        0.3165954E-02 iter. number =   300 denomin. =        0.5353064E+03

  global error =        0.2456600E-02 iter. number =   400 denomin. =        0.5946790E+03

  global error =        0.1945006E-02 iter. number =   500 denomin. =        0.6472449E+03

  global error =        0.1541559E-02 iter. number =   600 denomin. =        0.6899395E+03

  global error =        0.1030484E-02 iter. number =   700 denomin. =        0.7099362E+03

  global error =        0.6866619E-03 iter. number =   800 denomin. =        0.7127635E+03

  global error =        0.5273605E-03 iter. number =   900 denomin. =        0.7075675E+03

  global error =        0.4468829E-03 iter. number =  1000 denomin. =        0.6981865E+03

  global error =        0.3275947E-03 iter. number =  1100 denomin. =        0.6813236E+03

  global error =        0.2175163E-03 iter. number =  1200 denomin. =        0.6636089E+03

  global error =        0.1616476E-03 iter. number =  1300 denomin. =        0.6497125E+03

  global error =        0.1448829E-03 iter. number =  1400 denomin. =        0.6405729E+03

  global error =        0.1281849E-03 iter. number =  1500 denomin. =        0.6332363E+03

  convergence  for freq. #    40 achieved in  1592 inner iterations 
 relative error value =       0.99811910E-04


  frequency number    39 frequency :       0.28875000E+00
 jw  real sour, imag sour =     39     -0.76048E-01     -0.77212E+00

  global error =        0.6617554E-02 iter. number =   100 denomin. =        0.6489812E+03

  global error =        0.4789841E-02 iter. number =   200 denomin. =        0.6244239E+03

  global error =        0.3860588E-02 iter. number =   300 denomin. =        0.6031161E+03

  global error =        0.2812393E-02 iter. number =   400 denomin. =        0.6173961E+03

  global error =        0.1859230E-02 iter. number =   500 denomin. =        0.6622520E+03

  global error =        0.1596946E-02 iter. number =   600 denomin. =        0.7298227E+03

  global error =        0.1142867E-02 iter. number =   700 denomin. =        0.7848334E+03

  global error =        0.7419145E-03 iter. number =   800 denomin. =        0.8130022E+03

  global error =        0.4604839E-03 iter. number =   900 denomin. =        0.8272698E+03

  global error =        0.3084066E-03 iter. number =  1000 denomin. =        0.8398315E+03

  global error =        0.2236336E-03 iter. number =  1100 denomin. =        0.8478376E+03

  global error =        0.1547921E-03 iter. number =  1200 denomin. =        0.8504258E+03

  global error =        0.1116231E-03 iter. number =  1300 denomin. =        0.8482584E+03

  convergence  for freq. #    39 achieved in  1341 inner iterations 
 relative error value =       0.99949271E-04


  frequency number    38 frequency :       0.28125000E+00
 jw  real sour, imag sour =     38     -0.10714E-01     -0.76381E+00

  global error =        0.7524341E-02 iter. number =   100 denomin. =        0.8833655E+03

  global error =        0.5598730E-02 iter. number =   200 denomin. =        0.8373881E+03

  global error =        0.5066930E-02 iter. number =   300 denomin. =        0.7495173E+03

  global error =        0.4481572E-02 iter. number =   400 denomin. =        0.6572212E+03

  global error =        0.3381628E-02 iter. number =   500 denomin. =        0.5650877E+03

  global error =        0.2205225E-02 iter. number =   600 denomin. =        0.4941838E+03

  global error =        0.1245170E-02 iter. number =   700 denomin. =        0.4642447E+03

  global error =        0.1010488E-02 iter. number =   800 denomin. =        0.4491060E+03

  global error =        0.9113184E-03 iter. number =   900 denomin. =        0.4407845E+03

  global error =        0.6846540E-03 iter. number =  1000 denomin. =        0.4385666E+03

  global error =        0.5196281E-03 iter. number =  1100 denomin. =        0.4253608E+03

  global error =        0.4352991E-03 iter. number =  1200 denomin. =        0.4100126E+03

  global error =        0.3726232E-03 iter. number =  1300 denomin. =        0.4009600E+03

  global error =        0.3166971E-03 iter. number =  1400 denomin. =        0.3971605E+03

  global error =        0.2267402E-03 iter. number =  1500 denomin. =        0.3987841E+03

  global error =        0.1538638E-03 iter. number =  1600 denomin. =        0.4009823E+03

  global error =        0.1129768E-03 iter. number =  1700 denomin. =        0.4016189E+03

  convergence  for freq. #    38 achieved in  1787 inner iterations 
 relative error value =       0.99857613E-04


  frequency number    37 frequency :       0.27375000E+00
 jw  real sour, imag sour =     37      0.52644E-01     -0.74950E+00

  global error =        0.6573225E-02 iter. number =   100 denomin. =        0.4103350E+03

  global error =        0.4807240E-02 iter. number =   200 denomin. =        0.4342670E+03

  global error =        0.4046178E-02 iter. number =   300 denomin. =        0.4779974E+03

  global error =        0.3363423E-02 iter. number =   400 denomin. =        0.5264322E+03

  global error =        0.2659851E-02 iter. number =   500 denomin. =        0.5640206E+03

  global error =        0.1866658E-02 iter. number =   600 denomin. =        0.5698132E+03

  global error =        0.1057926E-02 iter. number =   700 denomin. =        0.5520885E+03

  global error =        0.9167664E-03 iter. number =   800 denomin. =        0.5144499E+03

  global error =        0.7640916E-03 iter. number =   900 denomin. =        0.4737483E+03

  global error =        0.6798622E-03 iter. number =  1000 denomin. =        0.4379910E+03

  global error =        0.5794884E-03 iter. number =  1100 denomin. =        0.4066229E+03

  global error =        0.4972832E-03 iter. number =  1200 denomin. =        0.3812638E+03

  global error =        0.4067503E-03 iter. number =  1300 denomin. =        0.3623350E+03

  global error =        0.3333895E-03 iter. number =  1400 denomin. =        0.3498487E+03

  global error =        0.2737769E-03 iter. number =  1500 denomin. =        0.3433346E+03

  global error =        0.2043768E-03 iter. number =  1600 denomin. =        0.3413604E+03

  global error =        0.1651187E-03 iter. number =  1700 denomin. =        0.3429404E+03

  global error =        0.1367793E-03 iter. number =  1800 denomin. =        0.3461355E+03

  global error =        0.1124971E-03 iter. number =  1900 denomin. =        0.3498896E+03

  convergence  for freq. #    37 achieved in  1955 inner iterations 
 relative error value =       0.99906923E-04


  frequency number    36 frequency :       0.26625000E+00
 jw  real sour, imag sour =     36      0.11344E+00     -0.72948E+00

  global error =        0.6202427E-02 iter. number =   100 denomin. =        0.3668174E+03

  global error =        0.4709073E-02 iter. number =   200 denomin. =        0.3708994E+03

  global error =        0.3898390E-02 iter. number =   300 denomin. =        0.4012974E+03

  global error =        0.2893335E-02 iter. number =   400 denomin. =        0.4483896E+03

  global error =        0.1813331E-02 iter. number =   500 denomin. =        0.4925942E+03

  global error =        0.1487241E-02 iter. number =   600 denomin. =        0.5201458E+03

  global error =        0.1002844E-02 iter. number =   700 denomin. =        0.5302752E+03

  global error =        0.8034849E-03 iter. number =   800 denomin. =        0.5276945E+03

  global error =        0.7556097E-03 iter. number =   900 denomin. =        0.5211689E+03

  global error =        0.6775749E-03 iter. number =  1000 denomin. =        0.5105490E+03

  global error =        0.5202599E-03 iter. number =  1100 denomin. =        0.4946770E+03

  global error =        0.3728996E-03 iter. number =  1200 denomin. =        0.4743447E+03

  global error =        0.3045896E-03 iter. number =  1300 denomin. =        0.4547387E+03

  global error =        0.2190551E-03 iter. number =  1400 denomin. =        0.4382656E+03

  global error =        0.1822632E-03 iter. number =  1500 denomin. =        0.4258288E+03

  global error =        0.1633948E-03 iter. number =  1600 denomin. =        0.4156582E+03

  global error =        0.1425492E-03 iter. number =  1700 denomin. =        0.4076835E+03

  global error =        0.1191356E-03 iter. number =  1800 denomin. =        0.4017853E+03

  convergence  for freq. #    36 achieved in  1875 inner iterations 
 relative error value =       0.99971050E-04


  frequency number    35 frequency :       0.25875000E+00
 jw  real sour, imag sour =     35      0.17113E+00     -0.70410E+00

  global error =        0.6250577E-02 iter. number =   100 denomin. =        0.4036730E+03

  global error =        0.4934391E-02 iter. number =   200 denomin. =        0.3625870E+03

  global error =        0.4062679E-02 iter. number =   300 denomin. =        0.3294161E+03

  global error =        0.3450490E-02 iter. number =   400 denomin. =        0.3074289E+03

  global error =        0.2745504E-02 iter. number =   500 denomin. =        0.3091030E+03

  global error =        0.2252434E-02 iter. number =   600 denomin. =        0.3431688E+03

  global error =        0.1765396E-02 iter. number =   700 denomin. =        0.3862751E+03

  global error =        0.1271117E-02 iter. number =   800 denomin. =        0.4063738E+03

  global error =        0.1035319E-02 iter. number =   900 denomin. =        0.3952033E+03

  global error =        0.9283418E-03 iter. number =  1000 denomin. =        0.3693781E+03

  global error =        0.7411190E-03 iter. number =  1100 denomin. =        0.3557101E+03

  global error =        0.5577081E-03 iter. number =  1200 denomin. =        0.3577672E+03

  global error =        0.4485157E-03 iter. number =  1300 denomin. =        0.3642352E+03

  global error =        0.3841322E-03 iter. number =  1400 denomin. =        0.3661040E+03

  global error =        0.3279832E-03 iter. number =  1500 denomin. =        0.3614082E+03

  global error =        0.2664236E-03 iter. number =  1600 denomin. =        0.3550505E+03

  global error =        0.2098380E-03 iter. number =  1700 denomin. =        0.3519825E+03

  global error =        0.1687457E-03 iter. number =  1800 denomin. =        0.3532453E+03

  global error =        0.1438976E-03 iter. number =  1900 denomin. =        0.3562711E+03

  global error =        0.1185718E-03 iter. number =  2000 denomin. =        0.3581534E+03

  convergence  for freq. #    35 achieved in  2067 inner iterations 
 relative error value =       0.99960296E-04


  frequency number    34 frequency :       0.25125000E+00
 jw  real sour, imag sour =     34      0.22520E+00     -0.67377E+00

  global error =        0.5815783E-02 iter. number =   100 denomin. =        0.3771904E+03

  global error =        0.4669478E-02 iter. number =   200 denomin. =        0.4047559E+03

  global error =        0.3695264E-02 iter. number =   300 denomin. =        0.4350328E+03

  global error =        0.2856458E-02 iter. number =   400 denomin. =        0.4571522E+03

  global error =        0.2040800E-02 iter. number =   500 denomin. =        0.4578534E+03

  global error =        0.1429763E-02 iter. number =   600 denomin. =        0.4452656E+03

  global error =        0.9582948E-03 iter. number =   700 denomin. =        0.4232061E+03

  global error =        0.7048348E-03 iter. number =   800 denomin. =        0.4068516E+03

  global error =        0.5453815E-03 iter. number =   900 denomin. =        0.3984693E+03

  global error =        0.3740483E-03 iter. number =  1000 denomin. =        0.3972410E+03

  global error =        0.2421252E-03 iter. number =  1100 denomin. =        0.3968900E+03

  global error =        0.1817374E-03 iter. number =  1200 denomin. =        0.3951072E+03

  global error =        0.1579357E-03 iter. number =  1300 denomin. =        0.3913336E+03

  global error =        0.1374777E-03 iter. number =  1400 denomin. =        0.3865515E+03

  global error =        0.1044990E-03 iter. number =  1500 denomin. =        0.3823586E+03

  convergence  for freq. #    34 achieved in  1516 inner iterations 
 relative error value =       0.99808311E-04


  frequency number    33 frequency :       0.24375000E+00
 jw  real sour, imag sour =     33      0.27521E+00     -0.63892E+00

  global error =        0.6064186E-02 iter. number =   100 denomin. =        0.3919991E+03

  global error =        0.4652383E-02 iter. number =   200 denomin. =        0.3888067E+03

  global error =        0.3608077E-02 iter. number =   300 denomin. =        0.3948362E+03

  global error =        0.2568056E-02 iter. number =   400 denomin. =        0.4183718E+03

  global error =        0.1880661E-02 iter. number =   500 denomin. =        0.4480558E+03

  global error =        0.1620877E-02 iter. number =   600 denomin. =        0.4830007E+03

  global error =        0.1299705E-02 iter. number =   700 denomin. =        0.5109959E+03

  global error =        0.9167685E-03 iter. number =   800 denomin. =        0.5271969E+03

  global error =        0.5515164E-03 iter. number =   900 denomin. =        0.5311953E+03

  global error =        0.4169696E-03 iter. number =  1000 denomin. =        0.5307174E+03

  global error =        0.3852815E-03 iter. number =  1100 denomin. =        0.5292673E+03

  global error =        0.3216090E-03 iter. number =  1200 denomin. =        0.5248461E+03

  global error =        0.2210220E-03 iter. number =  1300 denomin. =        0.5171566E+03

  global error =        0.1465579E-03 iter. number =  1400 denomin. =        0.5113783E+03

  global error =        0.1146985E-03 iter. number =  1500 denomin. =        0.5084885E+03

  global error =        0.1089241E-03 iter. number =  1600 denomin. =        0.5062361E+03

  convergence  for freq. #    33 achieved in  1693 inner iterations 
 relative error value =       0.99959549E-04


  frequency number    32 frequency :       0.23625000E+00
 jw  real sour, imag sour =     32      0.32074E+00     -0.60007E+00

  global error =        0.6911536E-02 iter. number =   100 denomin. =        0.5344797E+03

  global error =        0.4949713E-02 iter. number =   200 denomin. =        0.4956250E+03

  global error =        0.3961591E-02 iter. number =   300 denomin. =        0.4426384E+03

  global error =        0.3075065E-02 iter. number =   400 denomin. =        0.4154286E+03

  global error =        0.1994563E-02 iter. number =   500 denomin. =        0.4138177E+03

  global error =        0.1624988E-02 iter. number =   600 denomin. =        0.4303675E+03

  global error =        0.1180820E-02 iter. number =   700 denomin. =        0.4408685E+03

  global error =        0.7462928E-03 iter. number =   800 denomin. =        0.4315621E+03

  global error =        0.5093683E-03 iter. number =   900 denomin. =        0.4243254E+03

  global error =        0.4028917E-03 iter. number =  1000 denomin. =        0.4250704E+03

  global error =        0.3245529E-03 iter. number =  1100 denomin. =        0.4213369E+03

  global error =        0.2979656E-03 iter. number =  1200 denomin. =        0.4141469E+03

  global error =        0.2805907E-03 iter. number =  1300 denomin. =        0.4067803E+03

  global error =        0.2158901E-03 iter. number =  1400 denomin. =        0.4020836E+03

  global error =        0.1405179E-03 iter. number =  1500 denomin. =        0.3993729E+03

  global error =        0.1259699E-03 iter. number =  1600 denomin. =        0.3953802E+03

  convergence  for freq. #    32 achieved in  1680 inner iterations 
 relative error value =       0.99917768E-04


  frequency number    31 frequency :       0.22875000E+00
 jw  real sour, imag sour =     31      0.36145E+00     -0.55773E+00

  global error =        0.7339376E-02 iter. number =   100 denomin. =        0.4026844E+03

  global error =        0.5476889E-02 iter. number =   200 denomin. =        0.4170538E+03

  global error =        0.4867800E-02 iter. number =   300 denomin. =        0.4399720E+03

  global error =        0.4218398E-02 iter. number =   400 denomin. =        0.4534177E+03

  global error =        0.3210825E-02 iter. number =   500 denomin. =        0.4455922E+03

  global error =        0.2143841E-02 iter. number =   600 denomin. =        0.4216636E+03

  global error =        0.1350901E-02 iter. number =   700 denomin. =        0.3997166E+03

  global error =        0.1106494E-02 iter. number =   800 denomin. =        0.3696497E+03

  global error =        0.7819364E-03 iter. number =   900 denomin. =        0.3349131E+03

  global error =        0.6338416E-03 iter. number =  1000 denomin. =        0.3124777E+03

  global error =        0.5938626E-03 iter. number =  1100 denomin. =        0.2918648E+03

  global error =        0.5122962E-03 iter. number =  1200 denomin. =        0.2737050E+03

  global error =        0.4443034E-03 iter. number =  1300 denomin. =        0.2623688E+03

  global error =        0.4249326E-03 iter. number =  1400 denomin. =        0.2551567E+03

  global error =        0.3001753E-03 iter. number =  1500 denomin. =        0.2532838E+03

  global error =        0.1750629E-03 iter. number =  1600 denomin. =        0.2558803E+03

  global error =        0.1524344E-03 iter. number =  1700 denomin. =        0.2594686E+03

  global error =        0.1365190E-03 iter. number =  1800 denomin. =        0.2638306E+03

  global error =        0.1027047E-03 iter. number =  1900 denomin. =        0.2676635E+03

  convergence  for freq. #    31 achieved in  1908 inner iterations 
 relative error value =       0.99845628E-04


  frequency number    30 frequency :       0.22125000E+00
 jw  real sour, imag sour =     30      0.39707E+00     -0.51249E+00

  global error =        0.6654007E-02 iter. number =   100 denomin. =        0.2778465E+03

  global error =        0.5009182E-02 iter. number =   200 denomin. =        0.2828064E+03

  global error =        0.4265870E-02 iter. number =   300 denomin. =        0.3009752E+03

  global error =        0.3314749E-02 iter. number =   400 denomin. =        0.3294761E+03

  global error =        0.2627298E-02 iter. number =   500 denomin. =        0.3552055E+03

  global error =        0.2017814E-02 iter. number =   600 denomin. =        0.3588909E+03

  global error =        0.1325047E-02 iter. number =   700 denomin. =        0.3393959E+03

  global error =        0.1195178E-02 iter. number =   800 denomin. =        0.3087106E+03

  global error =        0.1009932E-02 iter. number =   900 denomin. =        0.2790419E+03

  global error =        0.8968968E-03 iter. number =  1000 denomin. =        0.2560689E+03

  global error =        0.7758374E-03 iter. number =  1100 denomin. =        0.2348474E+03

  global error =        0.7302535E-03 iter. number =  1200 denomin. =        0.2155210E+03

  global error =        0.6245839E-03 iter. number =  1300 denomin. =        0.1992160E+03

  global error =        0.5108181E-03 iter. number =  1400 denomin. =        0.1883634E+03

  global error =        0.4390921E-03 iter. number =  1500 denomin. =        0.1827318E+03

  global error =        0.3476057E-03 iter. number =  1600 denomin. =        0.1810922E+03

  global error =        0.2950976E-03 iter. number =  1700 denomin. =        0.1827169E+03

  global error =        0.2374605E-03 iter. number =  1800 denomin. =        0.1861094E+03

  global error =        0.1995278E-03 iter. number =  1900 denomin. =        0.1900551E+03

  global error =        0.1671735E-03 iter. number =  2000 denomin. =        0.1939416E+03

  global error =        0.1402762E-03 iter. number =  2100 denomin. =        0.1974609E+03

  global error =        0.1194299E-03 iter. number =  2200 denomin. =        0.2002301E+03

  convergence  for freq. #    30 achieved in  2288 inner iterations 
 relative error value =       0.99965716E-04


  frequency number    29 frequency :       0.21375000E+00
 jw  real sour, imag sour =     29      0.42736E+00     -0.46493E+00

  global error =        0.6525427E-02 iter. number =   100 denomin. =        0.2102234E+03

  global error =        0.4607893E-02 iter. number =   200 denomin. =        0.2029365E+03

  global error =        0.3586482E-02 iter. number =   300 denomin. =        0.2135473E+03

  global error =        0.2816721E-02 iter. number =   400 denomin. =        0.2402104E+03

  global error =        0.1865282E-02 iter. number =   500 denomin. =        0.2741789E+03

  global error =        0.1527329E-02 iter. number =   600 denomin. =        0.3108556E+03

  global error =        0.1228339E-02 iter. number =   700 denomin. =        0.3430275E+03

  global error =        0.9452572E-03 iter. number =   800 denomin. =        0.3648175E+03

  global error =        0.7406556E-03 iter. number =   900 denomin. =        0.3776934E+03

  global error =        0.5507996E-03 iter. number =  1000 denomin. =        0.3847518E+03

  global error =        0.3993188E-03 iter. number =  1100 denomin. =        0.3910723E+03

  global error =        0.2975938E-03 iter. number =  1200 denomin. =        0.3989101E+03

  global error =        0.2488881E-03 iter. number =  1300 denomin. =        0.4052692E+03

  global error =        0.2214729E-03 iter. number =  1400 denomin. =        0.4089758E+03

  global error =        0.1779871E-03 iter. number =  1500 denomin. =        0.4106902E+03

  global error =        0.1214781E-03 iter. number =  1600 denomin. =        0.4114419E+03

  convergence  for freq. #    29 achieved in  1644 inner iterations 
 relative error value =       0.99781629E-04


  frequency number    28 frequency :       0.20625000E+00
 jw  real sour, imag sour =     28      0.45218E+00     -0.41565E+00

  global error =        0.6762893E-02 iter. number =   100 denomin. =        0.4287224E+03

  global error =        0.5619210E-02 iter. number =   200 denomin. =        0.4061501E+03

  global error =        0.5123335E-02 iter. number =   300 denomin. =        0.3704801E+03

  global error =        0.4657224E-02 iter. number =   400 denomin. =        0.3082527E+03

  global error =        0.4141124E-02 iter. number =   500 denomin. =        0.2464457E+03

  global error =        0.3638894E-02 iter. number =   600 denomin. =        0.2106609E+03

  global error =        0.3039355E-02 iter. number =   700 denomin. =        0.2137167E+03

  global error =        0.2423876E-02 iter. number =   800 denomin. =        0.2399897E+03

  global error =        0.1907111E-02 iter. number =   900 denomin. =        0.2642979E+03

  global error =        0.1561703E-02 iter. number =  1000 denomin. =        0.2686083E+03

  global error =        0.1379798E-02 iter. number =  1100 denomin. =        0.2527876E+03

  global error =        0.1263162E-02 iter. number =  1200 denomin. =        0.2306986E+03

  global error =        0.1079752E-02 iter. number =  1300 denomin. =        0.2154175E+03

  global error =        0.8902948E-03 iter. number =  1400 denomin. =        0.2127136E+03

  global error =        0.7350416E-03 iter. number =  1500 denomin. =        0.2190273E+03

  global error =        0.6125859E-03 iter. number =  1600 denomin. =        0.2269660E+03

  global error =        0.5173464E-03 iter. number =  1700 denomin. =        0.2306150E+03

  global error =        0.4384586E-03 iter. number =  1800 denomin. =        0.2286909E+03

  global error =        0.3730501E-03 iter. number =  1900 denomin. =        0.2237480E+03

  global error =        0.3136715E-03 iter. number =  2000 denomin. =        0.2195574E+03

  global error =        0.2657988E-03 iter. number =  2100 denomin. =        0.2183933E+03

  global error =        0.2247920E-03 iter. number =  2200 denomin. =        0.2199901E+03

  global error =        0.1879883E-03 iter. number =  2300 denomin. =        0.2225473E+03

  global error =        0.1568662E-03 iter. number =  2400 denomin. =        0.2241861E+03

  global error =        0.1319265E-03 iter. number =  2500 denomin. =        0.2241594E+03

  global error =        0.1124132E-03 iter. number =  2600 denomin. =        0.2229478E+03

  convergence  for freq. #    28 achieved in  2671 inner iterations 
 relative error value =       0.99979979E-04


  frequency number    27 frequency :       0.19875000E+00
 jw  real sour, imag sour =     27      0.47146E+00     -0.36528E+00

  global error =        0.5618599E-02 iter. number =   100 denomin. =        0.2327497E+03

  global error =        0.4611006E-02 iter. number =   200 denomin. =        0.2401332E+03

  global error =        0.3600631E-02 iter. number =   300 denomin. =        0.2520647E+03

  global error =        0.2681787E-02 iter. number =   400 denomin. =        0.2626238E+03

  global error =        0.1808674E-02 iter. number =   500 denomin. =        0.2625788E+03

  global error =        0.1402251E-02 iter. number =   600 denomin. =        0.2611222E+03

  global error =        0.9987756E-03 iter. number =   700 denomin. =        0.2595001E+03

  global error =        0.7229077E-03 iter. number =   800 denomin. =        0.2628989E+03

  global error =        0.5787036E-03 iter. number =   900 denomin. =        0.2686109E+03

  global error =        0.4604530E-03 iter. number =  1000 denomin. =        0.2748351E+03

  global error =        0.3301463E-03 iter. number =  1100 denomin. =        0.2782005E+03

  global error =        0.2361060E-03 iter. number =  1200 denomin. =        0.2769698E+03

  global error =        0.1928005E-03 iter. number =  1300 denomin. =        0.2729788E+03

  global error =        0.1609906E-03 iter. number =  1400 denomin. =        0.2691336E+03

  global error =        0.1350478E-03 iter. number =  1500 denomin. =        0.2663116E+03

  global error =        0.1065789E-03 iter. number =  1600 denomin. =        0.2645777E+03

  convergence  for freq. #    27 achieved in  1625 inner iterations 
 relative error value =       0.99790915E-04


  frequency number    26 frequency :       0.19125000E+00
 jw  real sour, imag sour =     26      0.48516E+00     -0.31442E+00

  global error =        0.6176300E-02 iter. number =   100 denomin. =        0.2819579E+03

  global error =        0.4625350E-02 iter. number =   200 denomin. =        0.2750767E+03

  global error =        0.3497235E-02 iter. number =   300 denomin. =        0.2714291E+03

  global error =        0.2571107E-02 iter. number =   400 denomin. =        0.2804112E+03

  global error =        0.1969875E-02 iter. number =   500 denomin. =        0.2988728E+03

  global error =        0.1751824E-02 iter. number =   600 denomin. =        0.3243567E+03

  global error =        0.1340361E-02 iter. number =   700 denomin. =        0.3414970E+03

  global error =        0.8750794E-03 iter. number =   800 denomin. =        0.3474341E+03

  global error =        0.5885949E-03 iter. number =   900 denomin. =        0.3504774E+03

  global error =        0.4802231E-03 iter. number =  1000 denomin. =        0.3565332E+03

  global error =        0.3880154E-03 iter. number =  1100 denomin. =        0.3586167E+03

  global error =        0.3140141E-03 iter. number =  1200 denomin. =        0.3550461E+03

  global error =        0.2528738E-03 iter. number =  1300 denomin. =        0.3502352E+03

  global error =        0.1989414E-03 iter. number =  1400 denomin. =        0.3491773E+03

  global error =        0.1538149E-03 iter. number =  1500 denomin. =        0.3491774E+03

  global error =        0.1464701E-03 iter. number =  1600 denomin. =        0.3473125E+03

  global error =        0.1329435E-03 iter. number =  1700 denomin. =        0.3450518E+03

  convergence  for freq. #    26 achieved in  1781 inner iterations 
 relative error value =       0.99944712E-04


  frequency number    25 frequency :       0.18375000E+00
 jw  real sour, imag sour =     25      0.49336E+00     -0.26371E+00

  global error =        0.7673306E-02 iter. number =   100 denomin. =        0.3609486E+03

  global error =        0.5724184E-02 iter. number =   200 denomin. =        0.3362784E+03

  global error =        0.5146016E-02 iter. number =   300 denomin. =        0.2990271E+03

  global error =        0.4338297E-02 iter. number =   400 denomin. =        0.2666212E+03

  global error =        0.3046149E-02 iter. number =   500 denomin. =        0.2384733E+03

  global error =        0.2120535E-02 iter. number =   600 denomin. =        0.2286446E+03

  global error =        0.1630814E-02 iter. number =   700 denomin. =        0.2325892E+03

  global error =        0.1186506E-02 iter. number =   800 denomin. =        0.2288685E+03

  global error =        0.8534880E-03 iter. number =   900 denomin. =        0.2194610E+03

  global error =        0.7018794E-03 iter. number =  1000 denomin. =        0.2139360E+03

  global error =        0.5819068E-03 iter. number =  1100 denomin. =        0.2079369E+03

  global error =        0.4429465E-03 iter. number =  1200 denomin. =        0.2039415E+03

  global error =        0.4269664E-03 iter. number =  1300 denomin. =        0.1989212E+03

  global error =        0.4008263E-03 iter. number =  1400 denomin. =        0.1938341E+03

  global error =        0.2633624E-03 iter. number =  1500 denomin. =        0.1916368E+03

  global error =        0.2003063E-03 iter. number =  1600 denomin. =        0.1898718E+03

  global error =        0.1689555E-03 iter. number =  1700 denomin. =        0.1883290E+03

  global error =        0.1507020E-03 iter. number =  1800 denomin. =        0.1875548E+03

  global error =        0.1216271E-03 iter. number =  1900 denomin. =        0.1870061E+03

  global error =        0.1062284E-03 iter. number =  2000 denomin. =        0.1874880E+03

  convergence  for freq. #    25 achieved in  2082 inner iterations 
 relative error value =       0.99899677E-04


  frequency number    24 frequency :       0.17625000E+00
 jw  real sour, imag sour =     24      0.49617E+00     -0.21372E+00

  global error =        0.7394869E-02 iter. number =   100 denomin. =        0.1973160E+03

  global error =        0.5434355E-02 iter. number =   200 denomin. =        0.2031091E+03

  global error =        0.4691165E-02 iter. number =   300 denomin. =        0.2124053E+03

  global error =        0.4083156E-02 iter. number =   400 denomin. =        0.2267240E+03

  global error =        0.3400339E-02 iter. number =   500 denomin. =        0.2375795E+03

  global error =        0.2385694E-02 iter. number =   600 denomin. =        0.2321458E+03

  global error =        0.1545894E-02 iter. number =   700 denomin. =        0.2147347E+03

  global error =        0.1421215E-02 iter. number =   800 denomin. =        0.1913463E+03

  global error =        0.1220932E-02 iter. number =   900 denomin. =        0.1631863E+03

  global error =        0.1050582E-02 iter. number =  1000 denomin. =        0.1410895E+03

  global error =        0.9765210E-03 iter. number =  1100 denomin. =        0.1260847E+03

  global error =        0.9364377E-03 iter. number =  1200 denomin. =        0.1156253E+03

  global error =        0.6875594E-03 iter. number =  1300 denomin. =        0.1099184E+03

  global error =        0.5350972E-03 iter. number =  1400 denomin. =        0.1094229E+03

  global error =        0.4790734E-03 iter. number =  1500 denomin. =        0.1115415E+03

  global error =        0.4115212E-03 iter. number =  1600 denomin. =        0.1153930E+03

  global error =        0.3221619E-03 iter. number =  1700 denomin. =        0.1196969E+03

  global error =        0.2439546E-03 iter. number =  1800 denomin. =        0.1232284E+03

  global error =        0.2086149E-03 iter. number =  1900 denomin. =        0.1256766E+03

  global error =        0.1495578E-03 iter. number =  2000 denomin. =        0.1269818E+03

  global error =        0.1137898E-03 iter. number =  2100 denomin. =        0.1271708E+03

  global error =        0.1028760E-03 iter. number =  2200 denomin. =        0.1268124E+03

  convergence  for freq. #    24 achieved in  2249 inner iterations 
 relative error value =       0.99973615E-04


  frequency number    23 frequency :       0.16875000E+00
 jw  real sour, imag sour =     23      0.49378E+00     -0.16505E+00

  global error =        0.7049547E-02 iter. number =   100 denomin. =        0.1313414E+03

  global error =        0.4956366E-02 iter. number =   200 denomin. =        0.1300728E+03

  global error =        0.4073099E-02 iter. number =   300 denomin. =        0.1408167E+03

  global error =        0.3136113E-02 iter. number =   400 denomin. =        0.1610137E+03

  global error =        0.2227652E-02 iter. number =   500 denomin. =        0.1838068E+03

  global error =        0.1780066E-02 iter. number =   600 denomin. =        0.1986074E+03

  global error =        0.1336516E-02 iter. number =   700 denomin. =        0.2066022E+03

  global error =        0.1122534E-02 iter. number =   800 denomin. =        0.2086943E+03

  global error =        0.1006254E-02 iter. number =   900 denomin. =        0.2084419E+03

  global error =        0.9242002E-03 iter. number =  1000 denomin. =        0.2067175E+03

  global error =        0.7140239E-03 iter. number =  1100 denomin. =        0.2007297E+03

  global error =        0.5511720E-03 iter. number =  1200 denomin. =        0.1921010E+03

  global error =        0.4772063E-03 iter. number =  1300 denomin. =        0.1826845E+03

  global error =        0.4202884E-03 iter. number =  1400 denomin. =        0.1739752E+03

  global error =        0.3810770E-03 iter. number =  1500 denomin. =        0.1662661E+03

  global error =        0.3314293E-03 iter. number =  1600 denomin. =        0.1588976E+03

  global error =        0.3028262E-03 iter. number =  1700 denomin. =        0.1524920E+03

  global error =        0.2562992E-03 iter. number =  1800 denomin. =        0.1469792E+03

  global error =        0.2200727E-03 iter. number =  1900 denomin. =        0.1427813E+03

  global error =        0.1858245E-03 iter. number =  2000 denomin. =        0.1399032E+03

  global error =        0.1571896E-03 iter. number =  2100 denomin. =        0.1381730E+03

  global error =        0.1371868E-03 iter. number =  2200 denomin. =        0.1373446E+03

  global error =        0.1201021E-03 iter. number =  2300 denomin. =        0.1371955E+03

  global error =        0.1069178E-03 iter. number =  2400 denomin. =        0.1374873E+03

  convergence  for freq. #    23 achieved in  2438 inner iterations 
 relative error value =       0.99861732E-04


  frequency number    22 frequency :       0.16125000E+00
 jw  real sour, imag sour =     22      0.48644E+00     -0.11823E+00

  global error =        0.7273468E-02 iter. number =   100 denomin. =        0.1439046E+03

  global error =        0.5178980E-02 iter. number =   200 denomin. =        0.1314866E+03

  global error =        0.4423631E-02 iter. number =   300 denomin. =        0.1275577E+03

  global error =        0.3769558E-02 iter. number =   400 denomin. =        0.1317844E+03

  global error =        0.2752206E-02 iter. number =   500 denomin. =        0.1421350E+03

  global error =        0.2289267E-02 iter. number =   600 denomin. =        0.1580566E+03

  global error =        0.1824943E-02 iter. number =   700 denomin. =        0.1737255E+03

  global error =        0.1424522E-02 iter. number =   800 denomin. =        0.1832144E+03

  global error =        0.1202074E-02 iter. number =   900 denomin. =        0.1862597E+03

  global error =        0.1022723E-02 iter. number =  1000 denomin. =        0.1857778E+03

  global error =        0.7851331E-03 iter. number =  1100 denomin. =        0.1861548E+03

  global error =        0.5766353E-03 iter. number =  1200 denomin. =        0.1884269E+03

  global error =        0.5108010E-03 iter. number =  1300 denomin. =        0.1911170E+03

  global error =        0.4536640E-03 iter. number =  1400 denomin. =        0.1931000E+03

  global error =        0.3903626E-03 iter. number =  1500 denomin. =        0.1938381E+03

  global error =        0.3241786E-03 iter. number =  1600 denomin. =        0.1935597E+03

  global error =        0.2696426E-03 iter. number =  1700 denomin. =        0.1930049E+03

  global error =        0.2141494E-03 iter. number =  1800 denomin. =        0.1930166E+03

  global error =        0.1678408E-03 iter. number =  1900 denomin. =        0.1934054E+03

  global error =        0.1463329E-03 iter. number =  2000 denomin. =        0.1936215E+03

  global error =        0.1260315E-03 iter. number =  2100 denomin. =        0.1934343E+03

  global error =        0.1103205E-03 iter. number =  2200 denomin. =        0.1929890E+03

  convergence  for freq. #    22 achieved in  2250 inner iterations 
 relative error value =       0.99994607E-04


  frequency number    21 frequency :       0.15375000E+00
 jw  real sour, imag sour =     21      0.47447E+00     -0.73785E-01

  global error =        0.7003419E-02 iter. number =   100 denomin. =        0.2059622E+03

  global error =        0.5426790E-02 iter. number =   200 denomin. =        0.1975776E+03

  global error =        0.4872431E-02 iter. number =   300 denomin. =        0.1849639E+03

  global error =        0.4367243E-02 iter. number =   400 denomin. =        0.1630459E+03

  global error =        0.3796966E-02 iter. number =   500 denomin. =        0.1385516E+03

  global error =        0.3396647E-02 iter. number =   600 denomin. =        0.1220899E+03

  global error =        0.2899031E-02 iter. number =   700 denomin. =        0.1234974E+03

  global error =        0.2299825E-02 iter. number =   800 denomin. =        0.1379680E+03

  global error =        0.1785952E-02 iter. number =   900 denomin. =        0.1524528E+03

  global error =        0.1497591E-02 iter. number =  1000 denomin. =        0.1566101E+03

  global error =        0.1356025E-02 iter. number =  1100 denomin. =        0.1502865E+03

  global error =        0.1231303E-02 iter. number =  1200 denomin. =        0.1394168E+03

  global error =        0.1056243E-02 iter. number =  1300 denomin. =        0.1307977E+03

  global error =        0.8826332E-03 iter. number =  1400 denomin. =        0.1283978E+03

  global error =        0.7368016E-03 iter. number =  1500 denomin. =        0.1312627E+03

  global error =        0.6182340E-03 iter. number =  1600 denomin. =        0.1355840E+03

  global error =        0.5258970E-03 iter. number =  1700 denomin. =        0.1379879E+03

  global error =        0.4629672E-03 iter. number =  1800 denomin. =        0.1373627E+03

  global error =        0.3997484E-03 iter. number =  1900 denomin. =        0.1347389E+03

  global error =        0.3364266E-03 iter. number =  2000 denomin. =        0.1320774E+03

  global error =        0.2867774E-03 iter. number =  2100 denomin. =        0.1309186E+03

  global error =        0.2458745E-03 iter. number =  2200 denomin. =        0.1315012E+03

  global error =        0.2098262E-03 iter. number =  2300 denomin. =        0.1329556E+03

  global error =        0.1764376E-03 iter. number =  2400 denomin. =        0.1341391E+03

  global error =        0.1524457E-03 iter. number =  2500 denomin. =        0.1343995E+03

  global error =        0.1310052E-03 iter. number =  2600 denomin. =        0.1338265E+03

  global error =        0.1108666E-03 iter. number =  2700 denomin. =        0.1329650E+03

  convergence  for freq. #    21 achieved in  2767 inner iterations 
 relative error value =       0.99961385E-04


  frequency number    20 frequency :       0.14625000E+00
 jw  real sour, imag sour =     20      0.45821E+00     -0.32185E-01

  global error =        0.6504403E-02 iter. number =   100 denomin. =        0.1426378E+03

  global error =        0.4749223E-02 iter. number =   200 denomin. =        0.1453684E+03

  global error =        0.3708599E-02 iter. number =   300 denomin. =        0.1498755E+03

  global error =        0.2828048E-02 iter. number =   400 denomin. =        0.1542940E+03

  global error =        0.2042005E-02 iter. number =   500 denomin. =        0.1538534E+03

  global error =        0.1583482E-02 iter. number =   600 denomin. =        0.1536175E+03

  global error =        0.1128141E-02 iter. number =   700 denomin. =        0.1529517E+03

  global error =        0.8114862E-03 iter. number =   800 denomin. =        0.1543286E+03

  global error =        0.7004064E-03 iter. number =   900 denomin. =        0.1576308E+03

  global error =        0.5670076E-03 iter. number =  1000 denomin. =        0.1619916E+03

  global error =        0.3940064E-03 iter. number =  1100 denomin. =        0.1645582E+03

  global error =        0.2594981E-03 iter. number =  1200 denomin. =        0.1646409E+03

  global error =        0.2181947E-03 iter. number =  1300 denomin. =        0.1632492E+03

  global error =        0.1893677E-03 iter. number =  1400 denomin. =        0.1615152E+03

  global error =        0.1627780E-03 iter. number =  1500 denomin. =        0.1596240E+03

  global error =        0.1367066E-03 iter. number =  1600 denomin. =        0.1580569E+03

  global error =        0.1078307E-03 iter. number =  1700 denomin. =        0.1574166E+03

  convergence  for freq. #    20 achieved in  1727 inner iterations 
 relative error value =       0.99829844E-04


  frequency number    19 frequency :       0.13875000E+00
 jw  real sour, imag sour =     19      0.43809E+00      0.61445E-02

  global error =        0.7419089E-02 iter. number =   100 denomin. =        0.1680542E+03

  global error =        0.5235158E-02 iter. number =   200 denomin. =        0.1551798E+03

  global error =        0.4235536E-02 iter. number =   300 denomin. =        0.1407816E+03

  global error =        0.3195497E-02 iter. number =   400 denomin. =        0.1345534E+03

  global error =        0.2307123E-02 iter. number =   500 denomin. =        0.1359176E+03

  global error =        0.2128685E-02 iter. number =   600 denomin. =        0.1452404E+03

  global error =        0.1840219E-02 iter. number =   700 denomin. =        0.1536672E+03

  global error =        0.1223628E-02 iter. number =   800 denomin. =        0.1567218E+03

  global error =        0.7316256E-03 iter. number =   900 denomin. =        0.1569936E+03

  global error =        0.5957201E-03 iter. number =  1000 denomin. =        0.1591589E+03

  global error =        0.5517489E-03 iter. number =  1100 denomin. =        0.1619717E+03

  global error =        0.4921971E-03 iter. number =  1200 denomin. =        0.1633536E+03

  global error =        0.4103781E-03 iter. number =  1300 denomin. =        0.1624272E+03

  global error =        0.3560877E-03 iter. number =  1400 denomin. =        0.1623490E+03

  global error =        0.2584120E-03 iter. number =  1500 denomin. =        0.1637877E+03

  global error =        0.1863749E-03 iter. number =  1600 denomin. =        0.1644267E+03

  global error =        0.1749498E-03 iter. number =  1700 denomin. =        0.1637853E+03

  global error =        0.1693441E-03 iter. number =  1800 denomin. =        0.1630265E+03

  global error =        0.1395165E-03 iter. number =  1900 denomin. =        0.1629275E+03

  convergence  for freq. #    19 achieved in  1984 inner iterations 
 relative error value =       0.99599116E-04


  frequency number    18 frequency :       0.13125000E+00
 jw  real sour, imag sour =     18      0.41457E+00      0.40831E-01

  global error =        0.8890889E-02 iter. number =   100 denomin. =        0.1765776E+03

  global error =        0.5912783E-02 iter. number =   200 denomin. =        0.1644398E+03

  global error =        0.5340178E-02 iter. number =   300 denomin. =        0.1468853E+03

  global error =        0.4635557E-02 iter. number =   400 denomin. =        0.1328890E+03

  global error =        0.3528439E-02 iter. number =   500 denomin. =        0.1186211E+03

  global error =        0.2490443E-02 iter. number =   600 denomin. =        0.1057976E+03

  global error =        0.2032143E-02 iter. number =   700 denomin. =        0.9846222E+02

  global error =        0.1807467E-02 iter. number =   800 denomin. =        0.8827932E+02

  global error =        0.1456835E-02 iter. number =   900 denomin. =        0.7501396E+02

  global error =        0.1111273E-02 iter. number =  1000 denomin. =        0.6867137E+02

  global error =        0.1007713E-02 iter. number =  1100 denomin. =        0.6540768E+02

  global error =        0.7928987E-03 iter. number =  1200 denomin. =        0.6365925E+02

  global error =        0.6098084E-03 iter. number =  1300 denomin. =        0.6322333E+02

  global error =        0.5679353E-03 iter. number =  1400 denomin. =        0.6289850E+02

  global error =        0.4609390E-03 iter. number =  1500 denomin. =        0.6371162E+02

  global error =        0.3664311E-03 iter. number =  1600 denomin. =        0.6487537E+02

  global error =        0.2928747E-03 iter. number =  1700 denomin. =        0.6547940E+02

  global error =        0.2876158E-03 iter. number =  1800 denomin. =        0.6633089E+02

  global error =        0.2243988E-03 iter. number =  1900 denomin. =        0.6708272E+02

  global error =        0.1594585E-03 iter. number =  2000 denomin. =        0.6750974E+02

  global error =        0.1376764E-03 iter. number =  2100 denomin. =        0.6787577E+02

  global error =        0.1202344E-03 iter. number =  2200 denomin. =        0.6784912E+02

  global error =        0.1139145E-03 iter. number =  2300 denomin. =        0.6765659E+02

  convergence  for freq. #    18 achieved in  2359 inner iterations 
 relative error value =       0.99998405E-04


  frequency number    17 frequency :       0.12375000E+00
 jw  real sour, imag sour =     17      0.38812E+00      0.71559E-01

  global error =        0.8248365E-02 iter. number =   100 denomin. =        0.7131834E+02

  global error =        0.5175311E-02 iter. number =   200 denomin. =        0.7210325E+02

  global error =        0.4418273E-02 iter. number =   300 denomin. =        0.7769831E+02

  global error =        0.3769868E-02 iter. number =   400 denomin. =        0.8705752E+02

  global error =        0.3028472E-02 iter. number =   500 denomin. =        0.9601474E+02

  global error =        0.2161987E-02 iter. number =   600 denomin. =        0.9974689E+02

  global error =        0.1638945E-02 iter. number =   700 denomin. =        0.1005415E+03

  global error =        0.1364775E-02 iter. number =   800 denomin. =        0.9678809E+02

  global error =        0.1123690E-02 iter. number =   900 denomin. =        0.8927765E+02

  global error =        0.1050777E-02 iter. number =  1000 denomin. =        0.8175782E+02

  global error =        0.1059274E-02 iter. number =  1100 denomin. =        0.7352301E+02

  global error =        0.9923483E-03 iter. number =  1200 denomin. =        0.6530554E+02

  global error =        0.7516678E-03 iter. number =  1300 denomin. =        0.5884637E+02

  global error =        0.6878736E-03 iter. number =  1400 denomin. =        0.5465192E+02

  global error =        0.5588067E-03 iter. number =  1500 denomin. =        0.5221209E+02

  global error =        0.4612197E-03 iter. number =  1600 denomin. =        0.5127913E+02

  global error =        0.4133743E-03 iter. number =  1700 denomin. =        0.5122170E+02

  global error =        0.3882613E-03 iter. number =  1800 denomin. =        0.5181455E+02

  global error =        0.3458023E-03 iter. number =  1900 denomin. =        0.5279421E+02

  global error =        0.2661677E-03 iter. number =  2000 denomin. =        0.5394789E+02

  global error =        0.2442112E-03 iter. number =  2100 denomin. =        0.5515083E+02

  global error =        0.1893002E-03 iter. number =  2200 denomin. =        0.5626065E+02

  global error =        0.1517764E-03 iter. number =  2300 denomin. =        0.5714236E+02

  global error =        0.1346639E-03 iter. number =  2400 denomin. =        0.5780426E+02

  global error =        0.1205454E-03 iter. number =  2500 denomin. =        0.5820676E+02

  global error =        0.1093129E-03 iter. number =  2600 denomin. =        0.5839521E+02

  convergence  for freq. #    17 achieved in  2649 inner iterations 
 relative error value =       0.99959066E-04


  frequency number    16 frequency :       0.11625000E+00
 jw  real sour, imag sour =     16      0.35928E+00      0.98072E-01

  global error =        0.8381368E-02 iter. number =   100 denomin. =        0.6243126E+02

  global error =        0.5284533E-02 iter. number =   200 denomin. =        0.5861677E+02

  global error =        0.4378654E-02 iter. number =   300 denomin. =        0.6088098E+02

  global error =        0.3428129E-02 iter. number =   400 denomin. =        0.6883053E+02

  global error =        0.2521710E-02 iter. number =   500 denomin. =        0.7825704E+02

  global error =        0.2107879E-02 iter. number =   600 denomin. =        0.8447643E+02

  global error =        0.1569048E-02 iter. number =   700 denomin. =        0.8685936E+02

  global error =        0.1315122E-02 iter. number =   800 denomin. =        0.8682382E+02

  global error =        0.1244123E-02 iter. number =   900 denomin. =        0.8618550E+02

  global error =        0.1167894E-02 iter. number =  1000 denomin. =        0.8521787E+02

  global error =        0.9052401E-03 iter. number =  1100 denomin. =        0.8256725E+02

  global error =        0.6906988E-03 iter. number =  1200 denomin. =        0.7826444E+02

  global error =        0.6002412E-03 iter. number =  1300 denomin. =        0.7326741E+02

  global error =        0.4982877E-03 iter. number =  1400 denomin. =        0.6867724E+02

  global error =        0.4615016E-03 iter. number =  1500 denomin. =        0.6507637E+02

  global error =        0.4384681E-03 iter. number =  1600 denomin. =        0.6197694E+02

  global error =        0.4237479E-03 iter. number =  1700 denomin. =        0.5913043E+02

  global error =        0.3624315E-03 iter. number =  1800 denomin. =        0.5652964E+02

  global error =        0.3059101E-03 iter. number =  1900 denomin. =        0.5449033E+02

  global error =        0.2583877E-03 iter. number =  2000 denomin. =        0.5316358E+02

  global error =        0.2160103E-03 iter. number =  2100 denomin. =        0.5250804E+02

  global error =        0.1847086E-03 iter. number =  2200 denomin. =        0.5228483E+02

  global error =        0.1717265E-03 iter. number =  2300 denomin. =        0.5241088E+02

  global error =        0.1627878E-03 iter. number =  2400 denomin. =        0.5273163E+02

  global error =        0.1386768E-03 iter. number =  2500 denomin. =        0.5320778E+02

  global error =        0.1193718E-03 iter. number =  2600 denomin. =        0.5382857E+02

  convergence  for freq. #    16 achieved in  2683 inner iterations 
 relative error value =       0.99901900E-04


  frequency number    15 frequency :       0.10875000E+00
 jw  real sour, imag sour =     15      0.32860E+00      0.12018E+00

  global error =        0.8512240E-02 iter. number =   100 denomin. =        0.5990757E+02

  global error =        0.5216507E-02 iter. number =   200 denomin. =        0.5417283E+02

  global error =        0.4401231E-02 iter. number =   300 denomin. =        0.5221605E+02

  global error =        0.3865562E-02 iter. number =   400 denomin. =        0.5392947E+02

  global error =        0.3074589E-02 iter. number =   500 denomin. =        0.5812546E+02

  global error =        0.2596796E-02 iter. number =   600 denomin. =        0.6589950E+02

  global error =        0.2085041E-02 iter. number =   700 denomin. =        0.7410864E+02

  global error =        0.1645136E-02 iter. number =   800 denomin. =        0.7914084E+02

  global error =        0.1373754E-02 iter. number =   900 denomin. =        0.7964298E+02

  global error =        0.1164830E-02 iter. number =  1000 denomin. =        0.7803303E+02

  global error =        0.9421802E-03 iter. number =  1100 denomin. =        0.7824585E+02

  global error =        0.7597321E-03 iter. number =  1200 denomin. =        0.8043762E+02

  global error =        0.6946042E-03 iter. number =  1300 denomin. =        0.8278047E+02

  global error =        0.6236474E-03 iter. number =  1400 denomin. =        0.8410428E+02

  global error =        0.5362527E-03 iter. number =  1500 denomin. =        0.8424298E+02

  global error =        0.4444319E-03 iter. number =  1600 denomin. =        0.8381411E+02

  global error =        0.3772995E-03 iter. number =  1700 denomin. =        0.8369625E+02

  global error =        0.3242756E-03 iter. number =  1800 denomin. =        0.8428971E+02

  global error =        0.2766614E-03 iter. number =  1900 denomin. =        0.8518533E+02

  global error =        0.2487347E-03 iter. number =  2000 denomin. =        0.8575668E+02

  global error =        0.2061181E-03 iter. number =  2100 denomin. =        0.8578385E+02

  global error =        0.1807135E-03 iter. number =  2200 denomin. =        0.8552398E+02

  global error =        0.1534722E-03 iter. number =  2300 denomin. =        0.8543490E+02

  global error =        0.1300536E-03 iter. number =  2400 denomin. =        0.8563802E+02

  global error =        0.1141353E-03 iter. number =  2500 denomin. =        0.8592835E+02

  convergence  for freq. #    15 achieved in  2577 inner iterations 
 relative error value =       0.99875217E-04


  frequency number    14 frequency :       0.10125000E+00
 jw  real sour, imag sour =     14      0.29662E+00      0.13775E+00

  global error =        0.9202158E-02 iter. number =   100 denomin. =        0.9505068E+02

  global error =        0.5456581E-02 iter. number =   200 denomin. =        0.9580424E+02

  global error =        0.4848198E-02 iter. number =   300 denomin. =        0.9398157E+02

  global error =        0.4165485E-02 iter. number =   400 denomin. =        0.8598797E+02

  global error =        0.3626784E-02 iter. number =   500 denomin. =        0.7378275E+02

  global error =        0.3184089E-02 iter. number =   600 denomin. =        0.6178082E+02

  global error =        0.2838826E-02 iter. number =   700 denomin. =        0.5547165E+02

  global error =        0.2339525E-02 iter. number =   800 denomin. =        0.5612252E+02

  global error =        0.1916823E-02 iter. number =   900 denomin. =        0.6130133E+02

  global error =        0.1517033E-02 iter. number =  1000 denomin. =        0.6668261E+02

  global error =        0.1269941E-02 iter. number =  1100 denomin. =        0.6890829E+02

  global error =        0.1092576E-02 iter. number =  1200 denomin. =        0.6732739E+02

  global error =        0.9492129E-03 iter. number =  1300 denomin. =        0.6347965E+02

  global error =        0.8414060E-03 iter. number =  1400 denomin. =        0.5967924E+02

  global error =        0.7283171E-03 iter. number =  1500 denomin. =        0.5745821E+02

  global error =        0.6306743E-03 iter. number =  1600 denomin. =        0.5723944E+02

  global error =        0.5135658E-03 iter. number =  1700 denomin. =        0.5833895E+02

  global error =        0.4290113E-03 iter. number =  1800 denomin. =        0.5965303E+02

  global error =        0.3635398E-03 iter. number =  1900 denomin. =        0.6030550E+02

  global error =        0.3099735E-03 iter. number =  2000 denomin. =        0.6005777E+02

  global error =        0.2695478E-03 iter. number =  2100 denomin. =        0.5920622E+02

  global error =        0.2247247E-03 iter. number =  2200 denomin. =        0.5830394E+02

  global error =        0.1972531E-03 iter. number =  2300 denomin. =        0.5779910E+02

  global error =        0.1671079E-03 iter. number =  2400 denomin. =        0.5780346E+02

  global error =        0.1395782E-03 iter. number =  2500 denomin. =        0.5817292E+02

  global error =        0.1178654E-03 iter. number =  2600 denomin. =        0.5860692E+02

  global error =        0.1003566E-03 iter. number =  2700 denomin. =        0.5886571E+02

  convergence  for freq. #    14 achieved in  2703 inner iterations 
 relative error value =       0.99966682E-04


  frequency number    13 frequency :       0.93750000E-01
 jw  real sour, imag sour =     13      0.26393E+00      0.15074E+00

  global error =        0.9903719E-02 iter. number =   100 denomin. =        0.6472431E+02

  global error =        0.5092463E-02 iter. number =   200 denomin. =        0.6189253E+02

  global error =        0.4046343E-02 iter. number =   300 denomin. =        0.5972267E+02

  global error =        0.3214837E-02 iter. number =   400 denomin. =        0.5901235E+02

  global error =        0.2506018E-02 iter. number =   500 denomin. =        0.5777789E+02

  global error =        0.2132648E-02 iter. number =   600 denomin. =        0.5765281E+02

  global error =        0.1549659E-02 iter. number =   700 denomin. =        0.5806112E+02

  global error =        0.1137533E-02 iter. number =   800 denomin. =        0.6001193E+02

  global error =        0.9202439E-03 iter. number =   900 denomin. =        0.6248300E+02

  global error =        0.8212603E-03 iter. number =  1000 denomin. =        0.6482394E+02

  global error =        0.6630925E-03 iter. number =  1100 denomin. =        0.6622937E+02

  global error =        0.4953969E-03 iter. number =  1200 denomin. =        0.6653123E+02

  global error =        0.3817533E-03 iter. number =  1300 denomin. =        0.6603923E+02

  global error =        0.3376329E-03 iter. number =  1400 denomin. =        0.6575627E+02

  global error =        0.3003680E-03 iter. number =  1500 denomin. =        0.6587056E+02

  global error =        0.2255362E-03 iter. number =  1600 denomin. =        0.6605023E+02

  global error =        0.1854640E-03 iter. number =  1700 denomin. =        0.6616259E+02

  global error =        0.1596827E-03 iter. number =  1800 denomin. =        0.6645405E+02

  global error =        0.1388906E-03 iter. number =  1900 denomin. =        0.6672859E+02

  global error =        0.1123792E-03 iter. number =  2000 denomin. =        0.6674401E+02

  convergence  for freq. #    13 achieved in  2064 inner iterations 
 relative error value =       0.99986705E-04


  frequency number    12 frequency :       0.86250000E-01
 jw  real sour, imag sour =     12      0.23108E+00      0.15914E+00

  global error =        0.1082512E-01 iter. number =   100 denomin. =        0.7583935E+02

  global error =        0.5606065E-02 iter. number =   200 denomin. =        0.6845930E+02

  global error =        0.4522113E-02 iter. number =   300 denomin. =        0.5944046E+02

  global error =        0.3644990E-02 iter. number =   400 denomin. =        0.5268835E+02

  global error =        0.2771273E-02 iter. number =   500 denomin. =        0.4920368E+02

  global error =        0.2485248E-02 iter. number =   600 denomin. =        0.4814377E+02

  global error =        0.2104760E-02 iter. number =   700 denomin. =        0.4674470E+02

  global error =        0.1640099E-02 iter. number =   800 denomin. =        0.4310073E+02

  global error =        0.1152145E-02 iter. number =   900 denomin. =        0.4059153E+02

  global error =        0.9285289E-03 iter. number =  1000 denomin. =        0.4055223E+02

  global error =        0.7803815E-03 iter. number =  1100 denomin. =        0.4065667E+02

  global error =        0.7593291E-03 iter. number =  1200 denomin. =        0.4043669E+02

  global error =        0.6483186E-03 iter. number =  1300 denomin. =        0.4015575E+02

  global error =        0.5452229E-03 iter. number =  1400 denomin. =        0.4072184E+02

  global error =        0.3794343E-03 iter. number =  1500 denomin. =        0.4108789E+02

  global error =        0.3179926E-03 iter. number =  1600 denomin. =        0.4063438E+02

  global error =        0.2728311E-03 iter. number =  1700 denomin. =        0.4004993E+02

  global error =        0.2339034E-03 iter. number =  1800 denomin. =        0.3949852E+02

  global error =        0.2178556E-03 iter. number =  1900 denomin. =        0.3910618E+02

  global error =        0.2097033E-03 iter. number =  2000 denomin. =        0.3862069E+02

  global error =        0.1683697E-03 iter. number =  2100 denomin. =        0.3828932E+02

  global error =        0.1502538E-03 iter. number =  2200 denomin. =        0.3816300E+02

  global error =        0.1262108E-03 iter. number =  2300 denomin. =        0.3812412E+02

  global error =        0.1067984E-03 iter. number =  2400 denomin. =        0.3815829E+02

  global error =        0.1054327E-03 iter. number =  2500 denomin. =        0.3821945E+02

  convergence  for freq. #    12 achieved in  2555 inner iterations 
 relative error value =       0.99850045E-04


  frequency number    11 frequency :       0.78750000E-01
 jw  real sour, imag sour =     11      0.19865E+00      0.16303E+00

  global error =        0.1127706E-01 iter. number =   100 denomin. =        0.4313597E+02

  global error =        0.6155806E-02 iter. number =   200 denomin. =        0.4182064E+02

  global error =        0.5215263E-02 iter. number =   300 denomin. =        0.4187262E+02

  global error =        0.4523677E-02 iter. number =   400 denomin. =        0.4160608E+02

  global error =        0.3447521E-02 iter. number =   500 denomin. =        0.3984952E+02

  global error =        0.2658225E-02 iter. number =   600 denomin. =        0.3800094E+02

  global error =        0.2415017E-02 iter. number =   700 denomin. =        0.3665699E+02

  global error =        0.1978565E-02 iter. number =   800 denomin. =        0.3357668E+02

  global error =        0.1566340E-02 iter. number =   900 denomin. =        0.2925589E+02

  global error =        0.1444947E-02 iter. number =  1000 denomin. =        0.2582594E+02

  global error =        0.1275717E-02 iter. number =  1100 denomin. =        0.2317268E+02

  global error =        0.1075827E-02 iter. number =  1200 denomin. =        0.2164134E+02

  global error =        0.9734847E-03 iter. number =  1300 denomin. =        0.2085466E+02

  global error =        0.8483913E-03 iter. number =  1400 denomin. =        0.2060127E+02

  global error =        0.6029349E-03 iter. number =  1500 denomin. =        0.2100202E+02

  global error =        0.4436648E-03 iter. number =  1600 denomin. =        0.2155825E+02

  global error =        0.3984697E-03 iter. number =  1700 denomin. =        0.2210922E+02

  global error =        0.3474610E-03 iter. number =  1800 denomin. =        0.2269215E+02

  global error =        0.2828422E-03 iter. number =  1900 denomin. =        0.2305340E+02

  global error =        0.2719514E-03 iter. number =  2000 denomin. =        0.2333025E+02

  global error =        0.2140043E-03 iter. number =  2100 denomin. =        0.2351482E+02

  global error =        0.1566358E-03 iter. number =  2200 denomin. =        0.2350355E+02

  global error =        0.1444735E-03 iter. number =  2300 denomin. =        0.2343469E+02

  global error =        0.1250801E-03 iter. number =  2400 denomin. =        0.2331870E+02

  global error =        0.1090740E-03 iter. number =  2500 denomin. =        0.2315303E+02

  convergence  for freq. #    11 achieved in  2561 inner iterations 
 relative error value =       0.99974761E-04


  frequency number    10 frequency :       0.71250000E-01
 jw  real sour, imag sour =     10      0.16717E+00      0.16254E+00

  global error =        0.1176090E-01 iter. number =   100 denomin. =        0.2544632E+02

  global error =        0.6031522E-02 iter. number =   200 denomin. =        0.2400575E+02

  global error =        0.5236095E-02 iter. number =   300 denomin. =        0.2395676E+02

  global error =        0.4288071E-02 iter. number =   400 denomin. =        0.2576573E+02

  global error =        0.3430366E-02 iter. number =   500 denomin. =        0.2813051E+02

  global error =        0.2551885E-02 iter. number =   600 denomin. =        0.2899607E+02

  global error =        0.1928026E-02 iter. number =   700 denomin. =        0.2847895E+02

  global error =        0.1631036E-02 iter. number =   800 denomin. =        0.2678013E+02

  global error =        0.1494680E-02 iter. number =   900 denomin. =        0.2451992E+02

  global error =        0.1377715E-02 iter. number =  1000 denomin. =        0.2225861E+02

  global error =        0.1281471E-02 iter. number =  1100 denomin. =        0.2007300E+02

  global error =        0.1216605E-02 iter. number =  1200 denomin. =        0.1805962E+02

  global error =        0.9161737E-03 iter. number =  1300 denomin. =        0.1657429E+02

  global error =        0.8065961E-03 iter. number =  1400 denomin. =        0.1563737E+02

  global error =        0.6898017E-03 iter. number =  1500 denomin. =        0.1525833E+02

  global error =        0.6403291E-03 iter. number =  1600 denomin. =        0.1529160E+02

  global error =        0.5728825E-03 iter. number =  1700 denomin. =        0.1554637E+02

  global error =        0.4951219E-03 iter. number =  1800 denomin. =        0.1594141E+02

  global error =        0.4442733E-03 iter. number =  1900 denomin. =        0.1642455E+02

  global error =        0.3354073E-03 iter. number =  2000 denomin. =        0.1689327E+02

  global error =        0.3140265E-03 iter. number =  2100 denomin. =        0.1731655E+02

  global error =        0.2569602E-03 iter. number =  2200 denomin. =        0.1765295E+02

  global error =        0.2368427E-03 iter. number =  2300 denomin. =        0.1780744E+02

  global error =        0.2097598E-03 iter. number =  2400 denomin. =        0.1785871E+02

  global error =        0.1885646E-03 iter. number =  2500 denomin. =        0.1780878E+02

  global error =        0.1710862E-03 iter. number =  2600 denomin. =        0.1767251E+02

  global error =        0.1419544E-03 iter. number =  2700 denomin. =        0.1749121E+02

  global error =        0.1273380E-03 iter. number =  2800 denomin. =        0.1732075E+02

  global error =        0.1148273E-03 iter. number =  2900 denomin. =        0.1712759E+02

  global error =        0.1011774E-03 iter. number =  3000 denomin. =        0.1700781E+02

  convergence  for freq. #    10 achieved in  3018 inner iterations 
 relative error value =       0.99976973E-04


  frequency number     9 frequency :       0.63750000E-01
 jw  real sour, imag sour =      9      0.13717E+00      0.15789E+00

  global error =        0.1134944E-01 iter. number =   100 denomin. =        0.1956626E+02

  global error =        0.6288179E-02 iter. number =   200 denomin. =        0.1775821E+02

  global error =        0.4847515E-02 iter. number =   300 denomin. =        0.1878694E+02

  global error =        0.3797407E-02 iter. number =   400 denomin. =        0.2157570E+02

  global error =        0.2884699E-02 iter. number =   500 denomin. =        0.2501452E+02

  global error =        0.2251740E-02 iter. number =   600 denomin. =        0.2755045E+02

  global error =        0.1649363E-02 iter. number =   700 denomin. =        0.2949020E+02

  global error =        0.1336455E-02 iter. number =   800 denomin. =        0.3123269E+02

  global error =        0.1105192E-02 iter. number =   900 denomin. =        0.3256216E+02

  global error =        0.9119565E-03 iter. number =  1000 denomin. =        0.3335188E+02

  global error =        0.6885172E-03 iter. number =  1100 denomin. =        0.3349926E+02

  global error =        0.6088703E-03 iter. number =  1200 denomin. =        0.3360471E+02

  global error =        0.4922791E-03 iter. number =  1300 denomin. =        0.3351676E+02

  global error =        0.4454045E-03 iter. number =  1400 denomin. =        0.3310644E+02

  global error =        0.4123479E-03 iter. number =  1500 denomin. =        0.3255084E+02

  global error =        0.3395721E-03 iter. number =  1600 denomin. =        0.3194640E+02

  global error =        0.2962169E-03 iter. number =  1700 denomin. =        0.3125264E+02

  global error =        0.2472947E-03 iter. number =  1800 denomin. =        0.3056329E+02

  global error =        0.2328393E-03 iter. number =  1900 denomin. =        0.2981720E+02

  global error =        0.2052386E-03 iter. number =  2000 denomin. =        0.2920127E+02

  global error =        0.1743007E-03 iter. number =  2100 denomin. =        0.2869536E+02

  global error =        0.1723688E-03 iter. number =  2200 denomin. =        0.2815144E+02

  global error =        0.1439475E-03 iter. number =  2300 denomin. =        0.2767087E+02

  global error =        0.1317901E-03 iter. number =  2400 denomin. =        0.2730868E+02

  global error =        0.1232750E-03 iter. number =  2500 denomin. =        0.2701056E+02

  global error =        0.1018043E-03 iter. number =  2600 denomin. =        0.2682883E+02

  global error =        0.1028842E-03 iter. number =  2700 denomin. =        0.2664280E+02

  convergence  for freq. #     9 achieved in  2757 inner iterations 
 relative error value =       0.99963215E-04


  frequency number     8 frequency :       0.56250000E-01
 jw  real sour, imag sour =      8      0.10914E+00      0.14933E+00

  global error =        0.1323042E-01 iter. number =   100 denomin. =        0.3180797E+02

  global error =        0.6584493E-02 iter. number =   200 denomin. =        0.2740315E+02

  global error =        0.6109597E-02 iter. number =   300 denomin. =        0.2428624E+02

  global error =        0.5534790E-02 iter. number =   400 denomin. =        0.2135333E+02

  global error =        0.5016196E-02 iter. number =   500 denomin. =        0.1892501E+02

  global error =        0.4065561E-02 iter. number =   600 denomin. =        0.1943455E+02

  global error =        0.3138683E-02 iter. number =   700 denomin. =        0.2160642E+02

  global error =        0.2500717E-02 iter. number =   800 denomin. =        0.2336891E+02

  global error =        0.2227835E-02 iter. number =   900 denomin. =        0.2334372E+02

  global error =        0.1971154E-02 iter. number =  1000 denomin. =        0.2223703E+02

  global error =        0.1746904E-02 iter. number =  1100 denomin. =        0.2127532E+02

  global error =        0.1469721E-02 iter. number =  1200 denomin. =        0.2108176E+02

  global error =        0.1245862E-02 iter. number =  1300 denomin. =        0.2143691E+02

  global error =        0.1041274E-02 iter. number =  1400 denomin. =        0.2187182E+02

  global error =        0.9117176E-03 iter. number =  1500 denomin. =        0.2200586E+02

  global error =        0.8070741E-03 iter. number =  1600 denomin. =        0.2177301E+02

  global error =        0.6639526E-03 iter. number =  1700 denomin. =        0.2140180E+02

  global error =        0.6037542E-03 iter. number =  1800 denomin. =        0.2119352E+02

  global error =        0.5042807E-03 iter. number =  1900 denomin. =        0.2119966E+02

  global error =        0.4320569E-03 iter. number =  2000 denomin. =        0.2135393E+02

  global error =        0.3771525E-03 iter. number =  2100 denomin. =        0.2144712E+02

  global error =        0.3185326E-03 iter. number =  2200 denomin. =        0.2140377E+02

  global error =        0.2910573E-03 iter. number =  2300 denomin. =        0.2130001E+02

  global error =        0.2394418E-03 iter. number =  2400 denomin. =        0.2119917E+02

  global error =        0.2214152E-03 iter. number =  2500 denomin. =        0.2119291E+02

  global error =        0.1801884E-03 iter. number =  2600 denomin. =        0.2122510E+02

  global error =        0.1521071E-03 iter. number =  2700 denomin. =        0.2127392E+02

  global error =        0.1414351E-03 iter. number =  2800 denomin. =        0.2128320E+02

  global error =        0.1157538E-03 iter. number =  2900 denomin. =        0.2123951E+02

  global error =        0.1118264E-03 iter. number =  3000 denomin. =        0.2119922E+02

  convergence  for freq. #     8 achieved in  3083 inner iterations 
 relative error value =       0.99884623E-04


  frequency number     7 frequency :       0.48750000E-01
 jw  real sour, imag sour =      7      0.83539E-01      0.13719E+00

  global error =        0.1469579E-01 iter. number =   100 denomin. =        0.2539954E+02

  global error =        0.6587936E-02 iter. number =   200 denomin. =        0.2493458E+02

  global error =        0.5416890E-02 iter. number =   300 denomin. =        0.2354921E+02

  global error =        0.4677217E-02 iter. number =   400 denomin. =        0.2192618E+02

  global error =        0.3984626E-02 iter. number =   500 denomin. =        0.1962530E+02

  global error =        0.3305473E-02 iter. number =   600 denomin. =        0.1771329E+02

  global error =        0.2569556E-02 iter. number =   700 denomin. =        0.1698916E+02

  global error =        0.2038511E-02 iter. number =   800 denomin. =        0.1768653E+02

  global error =        0.1755757E-02 iter. number =   900 denomin. =        0.1856323E+02

  global error =        0.1425266E-02 iter. number =  1000 denomin. =        0.1931666E+02

  global error =        0.1128618E-02 iter. number =  1100 denomin. =        0.1981499E+02

  global error =        0.9110492E-03 iter. number =  1200 denomin. =        0.1967994E+02

  global error =        0.8172788E-03 iter. number =  1300 denomin. =        0.1926083E+02

  global error =        0.6930077E-03 iter. number =  1400 denomin. =        0.1880779E+02

  global error =        0.5639585E-03 iter. number =  1500 denomin. =        0.1854852E+02

  global error =        0.5223365E-03 iter. number =  1600 denomin. =        0.1844219E+02

  global error =        0.4249650E-03 iter. number =  1700 denomin. =        0.1848146E+02

  global error =        0.3732224E-03 iter. number =  1800 denomin. =        0.1858322E+02

  global error =        0.3076196E-03 iter. number =  1900 denomin. =        0.1862633E+02

  global error =        0.2597667E-03 iter. number =  2000 denomin. =        0.1858113E+02

  global error =        0.2500323E-03 iter. number =  2100 denomin. =        0.1848235E+02

  global error =        0.2220577E-03 iter. number =  2200 denomin. =        0.1838205E+02

  global error =        0.2108112E-03 iter. number =  2300 denomin. =        0.1829645E+02

  global error =        0.1611454E-03 iter. number =  2400 denomin. =        0.1827021E+02

  global error =        0.1528418E-03 iter. number =  2500 denomin. =        0.1830622E+02

  global error =        0.1452068E-03 iter. number =  2600 denomin. =        0.1833191E+02

  global error =        0.1251968E-03 iter. number =  2700 denomin. =        0.1834963E+02

  global error =        0.1194754E-03 iter. number =  2800 denomin. =        0.1835385E+02

  global error =        0.1123827E-03 iter. number =  2900 denomin. =        0.1833469E+02

  global error =        0.1142762E-03 iter. number =  3000 denomin. =        0.1831108E+02

  convergence  for freq. #     7 achieved in  3098 inner iterations 
 relative error value =       0.99822543E-04


  frequency number     6 frequency :       0.41250000E-01
 jw  real sour, imag sour =      6      0.60783E-01      0.12182E+00

  global error =        0.1422397E-01 iter. number =   100 denomin. =        0.2341280E+02

  global error =        0.6452026E-02 iter. number =   200 denomin. =        0.2130483E+02

  global error =        0.4934159E-02 iter. number =   300 denomin. =        0.1959753E+02

  global error =        0.4102099E-02 iter. number =   400 denomin. =        0.1772456E+02

  global error =        0.3386981E-02 iter. number =   500 denomin. =        0.1532260E+02

  global error =        0.2973398E-02 iter. number =   600 denomin. =        0.1399439E+02

  global error =        0.2311901E-02 iter. number =   700 denomin. =        0.1357570E+02

  global error =        0.1855415E-02 iter. number =   800 denomin. =        0.1383611E+02

  global error =        0.1510935E-02 iter. number =   900 denomin. =        0.1436871E+02

  global error =        0.1194449E-02 iter. number =  1000 denomin. =        0.1491833E+02

  global error =        0.1001036E-02 iter. number =  1100 denomin. =        0.1513072E+02

  global error =        0.7926574E-03 iter. number =  1200 denomin. =        0.1506663E+02

  global error =        0.6825585E-03 iter. number =  1300 denomin. =        0.1488672E+02

  global error =        0.5884346E-03 iter. number =  1400 denomin. =        0.1472533E+02

  global error =        0.5473937E-03 iter. number =  1500 denomin. =        0.1486408E+02

  global error =        0.4752048E-03 iter. number =  1600 denomin. =        0.1503884E+02

  global error =        0.3890386E-03 iter. number =  1700 denomin. =        0.1510631E+02

  global error =        0.3411239E-03 iter. number =  1800 denomin. =        0.1522279E+02

  global error =        0.3186951E-03 iter. number =  1900 denomin. =        0.1528633E+02

  global error =        0.3044822E-03 iter. number =  2000 denomin. =        0.1522343E+02

  global error =        0.2763325E-03 iter. number =  2100 denomin. =        0.1511392E+02

  global error =        0.2901784E-03 iter. number =  2200 denomin. =        0.1515583E+02

  global error =        0.2595500E-03 iter. number =  2300 denomin. =        0.1515393E+02

  global error =        0.1996227E-03 iter. number =  2400 denomin. =        0.1509580E+02

  global error =        0.1862584E-03 iter. number =  2500 denomin. =        0.1510496E+02

  global error =        0.1821135E-03 iter. number =  2600 denomin. =        0.1510387E+02

  global error =        0.1753252E-03 iter. number =  2700 denomin. =        0.1504821E+02

  global error =        0.1694324E-03 iter. number =  2800 denomin. =        0.1500380E+02

  global error =        0.1643766E-03 iter. number =  2900 denomin. =        0.1502283E+02

  global error =        0.1534935E-03 iter. number =  3000 denomin. =        0.1498759E+02

  global error =        0.1360062E-03 iter. number =  3100 denomin. =        0.1494920E+02

  global error =        0.1199875E-03 iter. number =  3200 denomin. =        0.1496249E+02

  global error =        0.1126744E-03 iter. number =  3300 denomin. =        0.1495077E+02

  global error =        0.1066163E-03 iter. number =  3400 denomin. =        0.1492907E+02

  global error =        0.1003984E-03 iter. number =  3500 denomin. =        0.1493049E+02

  global error =        0.1031182E-03 iter. number =  3600 denomin. =        0.1494428E+02

  global error =        0.1018650E-03 iter. number =  3700 denomin. =        0.1491685E+02

  convergence  for freq. #     6 achieved in  3722 inner iterations 
 relative error value =       0.99898707E-04


  frequency number     5 frequency :       0.33750000E-01
 jw  real sour, imag sour =      5      0.41236E-01      0.10364E+00

  global error =        0.3295690E-02 iter. number =   100 denomin. =        0.1464712E+02

  global error =        0.3200142E-02 iter. number =   200 denomin. =        0.1431396E+02

  global error =        0.2997550E-02 iter. number =   300 denomin. =        0.1378734E+02

  global error =        0.2796702E-02 iter. number =   400 denomin. =        0.1309404E+02

  global error =        0.2576235E-02 iter. number =   500 denomin. =        0.1232307E+02

  global error =        0.2377791E-02 iter. number =   600 denomin. =        0.1148675E+02

  global error =        0.2106680E-02 iter. number =   700 denomin. =        0.1061811E+02

  global error =        0.1869111E-02 iter. number =   800 denomin. =        0.9866187E+01

  global error =        0.1729017E-02 iter. number =   900 denomin. =        0.9223956E+01

  global error =        0.1610284E-02 iter. number =  1000 denomin. =        0.8726872E+01

  global error =        0.1569184E-02 iter. number =  1100 denomin. =        0.8387922E+01

  global error =        0.1570484E-02 iter. number =  1200 denomin. =        0.8158265E+01

  global error =        0.1614031E-02 iter. number =  1300 denomin. =        0.7944955E+01

  global error =        0.1606108E-02 iter. number =  1400 denomin. =        0.7705015E+01

  global error =        0.1580423E-02 iter. number =  1500 denomin. =        0.7471065E+01

  global error =        0.1499397E-02 iter. number =  1600 denomin. =        0.7234122E+01

  global error =        0.1407758E-02 iter. number =  1700 denomin. =        0.7006622E+01

  global error =        0.1315783E-02 iter. number =  1800 denomin. =        0.6804792E+01

  global error =        0.1259636E-02 iter. number =  1900 denomin. =        0.6662142E+01

  global error =        0.1212143E-02 iter. number =  2000 denomin. =        0.6593283E+01

  global error =        0.1142621E-02 iter. number =  2100 denomin. =        0.6609532E+01

  global error =        0.1062777E-02 iter. number =  2200 denomin. =        0.6695951E+01

  global error =        0.9934542E-03 iter. number =  2300 denomin. =        0.6809874E+01

  global error =        0.9502788E-03 iter. number =  2400 denomin. =        0.6920215E+01

  global error =        0.9148524E-03 iter. number =  2500 denomin. =        0.7020819E+01

  global error =        0.8842179E-03 iter. number =  2600 denomin. =        0.7102284E+01

  global error =        0.8586052E-03 iter. number =  2700 denomin. =        0.7164173E+01

  global error =        0.8288885E-03 iter. number =  2800 denomin. =        0.7216052E+01

  global error =        0.7925138E-03 iter. number =  2900 denomin. =        0.7265616E+01

  global error =        0.7550698E-03 iter. number =  3000 denomin. =        0.7310885E+01

  global error =        0.7195302E-03 iter. number =  3100 denomin. =        0.7350595E+01

  global error =        0.6832072E-03 iter. number =  3200 denomin. =        0.7372265E+01

  global error =        0.6477304E-03 iter. number =  3300 denomin. =        0.7360846E+01

  global error =        0.6159856E-03 iter. number =  3400 denomin. =        0.7313068E+01

  global error =        0.5877222E-03 iter. number =  3500 denomin. =        0.7245559E+01

  global error =        0.5567556E-03 iter. number =  3600 denomin. =        0.7172257E+01

  global error =        0.5295062E-03 iter. number =  3700 denomin. =        0.7102166E+01

  global error =        0.5089144E-03 iter. number =  3800 denomin. =        0.7039527E+01

  global error =        0.4909772E-03 iter. number =  3900 denomin. =        0.6984307E+01

  global error =        0.4736267E-03 iter. number =  4000 denomin. =        0.6933543E+01

  NO convergence  for freq. #     5 after   4001 inner iterations 
 relative error value reduction =       0.47362671E-03


  frequency number     4 frequency :       0.26250000E-01
 jw  real sour, imag sour =      4      0.25212E-01      0.83117E-01

  global error =        0.3221486E-02 iter. number =   100 denomin. =        0.6714392E+01

  global error =        0.3182935E-02 iter. number =   200 denomin. =        0.6578493E+01

  global error =        0.2903744E-02 iter. number =   300 denomin. =        0.6363867E+01

  global error =        0.2637929E-02 iter. number =   400 denomin. =        0.6182383E+01

  global error =        0.2499354E-02 iter. number =   500 denomin. =        0.6130817E+01

  global error =        0.2341373E-02 iter. number =   600 denomin. =        0.6171733E+01

  global error =        0.2149478E-02 iter. number =   700 denomin. =        0.6224034E+01

  global error =        0.2004742E-02 iter. number =   800 denomin. =        0.6302050E+01

  global error =        0.1858470E-02 iter. number =   900 denomin. =        0.6350561E+01

  global error =        0.1731577E-02 iter. number =  1000 denomin. =        0.6407628E+01

  global error =        0.1656451E-02 iter. number =  1100 denomin. =        0.6449807E+01

  global error =        0.1600548E-02 iter. number =  1200 denomin. =        0.6474318E+01

  global error =        0.1562671E-02 iter. number =  1300 denomin. =        0.6438337E+01

  global error =        0.1501645E-02 iter. number =  1400 denomin. =        0.6327876E+01

  global error =        0.1400196E-02 iter. number =  1500 denomin. =        0.6162568E+01

  global error =        0.1319070E-02 iter. number =  1600 denomin. =        0.5988642E+01

  global error =        0.1253063E-02 iter. number =  1700 denomin. =        0.5811658E+01

  global error =        0.1202537E-02 iter. number =  1800 denomin. =        0.5629008E+01

  global error =        0.1167650E-02 iter. number =  1900 denomin. =        0.5442173E+01

  global error =        0.1133615E-02 iter. number =  2000 denomin. =        0.5245683E+01

  global error =        0.1100662E-02 iter. number =  2100 denomin. =        0.5044058E+01

  global error =        0.1054073E-02 iter. number =  2200 denomin. =        0.4852223E+01

  global error =        0.1015099E-02 iter. number =  2300 denomin. =        0.4677898E+01

  global error =        0.9920142E-03 iter. number =  2400 denomin. =        0.4521856E+01

  global error =        0.9677787E-03 iter. number =  2500 denomin. =        0.4382924E+01

  global error =        0.9379943E-03 iter. number =  2600 denomin. =        0.4266593E+01

  global error =        0.8962151E-03 iter. number =  2700 denomin. =        0.4178597E+01

  global error =        0.8513365E-03 iter. number =  2800 denomin. =        0.4120711E+01

  global error =        0.7978352E-03 iter. number =  2900 denomin. =        0.4102463E+01

  global error =        0.7464875E-03 iter. number =  3000 denomin. =        0.4120359E+01

  global error =        0.7054076E-03 iter. number =  3100 denomin. =        0.4164791E+01

  global error =        0.6654671E-03 iter. number =  3200 denomin. =        0.4228336E+01

  global error =        0.6257322E-03 iter. number =  3300 denomin. =        0.4302447E+01

  global error =        0.5869484E-03 iter. number =  3400 denomin. =        0.4373295E+01

  global error =        0.5529104E-03 iter. number =  3500 denomin. =        0.4433540E+01

  global error =        0.5262552E-03 iter. number =  3600 denomin. =        0.4485397E+01

  global error =        0.5059179E-03 iter. number =  3700 denomin. =        0.4531595E+01

  global error =        0.4886884E-03 iter. number =  3800 denomin. =        0.4573430E+01

  global error =        0.4662931E-03 iter. number =  3900 denomin. =        0.4615164E+01

  global error =        0.4364102E-03 iter. number =  4000 denomin. =        0.4654607E+01

  NO convergence  for freq. #     4 after   4001 inner iterations 
 relative error value reduction =       0.43641023E-03


  frequency number     3 frequency :       0.18750000E-01
 jw  real sour, imag sour =      3      0.12966E-01      0.60724E-01

  global error =        0.3570418E-02 iter. number =   100 denomin. =        0.4557470E+01

  global error =        0.3326369E-02 iter. number =   200 denomin. =        0.4466634E+01

  global error =        0.3045141E-02 iter. number =   300 denomin. =        0.4303054E+01

  global error =        0.2878571E-02 iter. number =   400 denomin. =        0.4230305E+01

  global error =        0.2685024E-02 iter. number =   500 denomin. =        0.4251253E+01

  global error =        0.2526329E-02 iter. number =   600 denomin. =        0.4355356E+01

  global error =        0.2387414E-02 iter. number =   700 denomin. =        0.4477229E+01

  global error =        0.2247732E-02 iter. number =   800 denomin. =        0.4591317E+01

  global error =        0.2085495E-02 iter. number =   900 denomin. =        0.4687433E+01

  global error =        0.1943252E-02 iter. number =  1000 denomin. =        0.4764077E+01

  global error =        0.1788762E-02 iter. number =  1100 denomin. =        0.4814671E+01

  global error =        0.1685458E-02 iter. number =  1200 denomin. =        0.4844520E+01

  global error =        0.1607571E-02 iter. number =  1300 denomin. =        0.4842779E+01

  global error =        0.1543213E-02 iter. number =  1400 denomin. =        0.4826226E+01

  global error =        0.1493853E-02 iter. number =  1500 denomin. =        0.4813502E+01

  global error =        0.1437991E-02 iter. number =  1600 denomin. =        0.4803037E+01

  global error =        0.1371540E-02 iter. number =  1700 denomin. =        0.4789814E+01

  global error =        0.1301445E-02 iter. number =  1800 denomin. =        0.4772207E+01

  global error =        0.1205689E-02 iter. number =  1900 denomin. =        0.4732745E+01

  global error =        0.1116359E-02 iter. number =  2000 denomin. =        0.4650048E+01

  global error =        0.1050461E-02 iter. number =  2100 denomin. =        0.4524187E+01

  global error =        0.1004926E-02 iter. number =  2200 denomin. =        0.4362710E+01

  global error =        0.9736563E-03 iter. number =  2300 denomin. =        0.4179763E+01

  global error =        0.9330267E-03 iter. number =  2400 denomin. =        0.3990544E+01

  global error =        0.8950617E-03 iter. number =  2500 denomin. =        0.3814752E+01

  global error =        0.8661549E-03 iter. number =  2600 denomin. =        0.3658397E+01

  global error =        0.8439921E-03 iter. number =  2700 denomin. =        0.3518011E+01

  global error =        0.8275912E-03 iter. number =  2800 denomin. =        0.3391246E+01

  global error =        0.8101253E-03 iter. number =  2900 denomin. =        0.3269882E+01

  global error =        0.7881431E-03 iter. number =  3000 denomin. =        0.3149134E+01

  global error =        0.7576426E-03 iter. number =  3100 denomin. =        0.3027494E+01

  global error =        0.7239428E-03 iter. number =  3200 denomin. =        0.2912593E+01

  global error =        0.6929057E-03 iter. number =  3300 denomin. =        0.2811250E+01

  global error =        0.6551614E-03 iter. number =  3400 denomin. =        0.2730372E+01

  global error =        0.6145469E-03 iter. number =  3500 denomin. =        0.2675658E+01

  global error =        0.5770873E-03 iter. number =  3600 denomin. =        0.2644973E+01

  global error =        0.5437078E-03 iter. number =  3700 denomin. =        0.2634961E+01

  global error =        0.5044475E-03 iter. number =  3800 denomin. =        0.2641866E+01

  global error =        0.4671300E-03 iter. number =  3900 denomin. =        0.2661901E+01

  global error =        0.4412787E-03 iter. number =  4000 denomin. =        0.2689658E+01

  NO convergence  for freq. #     3 after   4001 inner iterations 
 relative error value reduction =       0.44127870E-03


  frequency number     2 frequency :       0.11250000E-01
 jw  real sour, imag sour =      2      0.46918E-02      0.36980E-01

  global error =        0.3657716E-02 iter. number =   100 denomin. =        0.2649918E+01

  global error =        0.3549840E-02 iter. number =   200 denomin. =        0.2555102E+01

  global error =        0.3306325E-02 iter. number =   300 denomin. =        0.2440451E+01

  global error =        0.3158976E-02 iter. number =   400 denomin. =        0.2368576E+01

  global error =        0.2924815E-02 iter. number =   500 denomin. =        0.2311557E+01

  global error =        0.2751705E-02 iter. number =   600 denomin. =        0.2262668E+01

  global error =        0.2567507E-02 iter. number =   700 denomin. =        0.2221590E+01

  global error =        0.2314443E-02 iter. number =   800 denomin. =        0.2189881E+01

  global error =        0.2192999E-02 iter. number =   900 denomin. =        0.2194446E+01

  global error =        0.2078387E-02 iter. number =  1000 denomin. =        0.2232054E+01

  global error =        0.1945143E-02 iter. number =  1100 denomin. =        0.2288289E+01

  global error =        0.1825473E-02 iter. number =  1200 denomin. =        0.2328328E+01

  global error =        0.1688548E-02 iter. number =  1300 denomin. =        0.2336625E+01

  global error =        0.1577428E-02 iter. number =  1400 denomin. =        0.2322747E+01

  global error =        0.1533148E-02 iter. number =  1500 denomin. =        0.2312833E+01

  global error =        0.1478179E-02 iter. number =  1600 denomin. =        0.2304658E+01

  global error =        0.1417205E-02 iter. number =  1700 denomin. =        0.2300865E+01

  global error =        0.1319191E-02 iter. number =  1800 denomin. =        0.2296133E+01

  global error =        0.1217779E-02 iter. number =  1900 denomin. =        0.2302637E+01

  global error =        0.1134744E-02 iter. number =  2000 denomin. =        0.2317061E+01

  global error =        0.1064303E-02 iter. number =  2100 denomin. =        0.2332059E+01

  global error =        0.1000512E-02 iter. number =  2200 denomin. =        0.2342543E+01

  global error =        0.9582911E-03 iter. number =  2300 denomin. =        0.2350978E+01

  global error =        0.9126291E-03 iter. number =  2400 denomin. =        0.2361114E+01

  global error =        0.8585341E-03 iter. number =  2500 denomin. =        0.2377647E+01

  global error =        0.8012878E-03 iter. number =  2600 denomin. =        0.2410101E+01

  global error =        0.7362983E-03 iter. number =  2700 denomin. =        0.2455465E+01

  global error =        0.6935761E-03 iter. number =  2800 denomin. =        0.2508498E+01

  global error =        0.6528576E-03 iter. number =  2900 denomin. =        0.2558436E+01

  global error =        0.6088846E-03 iter. number =  3000 denomin. =        0.2600636E+01

  global error =        0.5745801E-03 iter. number =  3100 denomin. =        0.2630088E+01

  global error =        0.5468347E-03 iter. number =  3200 denomin. =        0.2646408E+01

  global error =        0.5224651E-03 iter. number =  3300 denomin. =        0.2649756E+01

  global error =        0.4985644E-03 iter. number =  3400 denomin. =        0.2644383E+01

  global error =        0.4688150E-03 iter. number =  3500 denomin. =        0.2634228E+01

  global error =        0.4403442E-03 iter. number =  3600 denomin. =        0.2624228E+01

  global error =        0.4115456E-03 iter. number =  3700 denomin. =        0.2615298E+01

  global error =        0.3834532E-03 iter. number =  3800 denomin. =        0.2605970E+01

  global error =        0.3626790E-03 iter. number =  3900 denomin. =        0.2593306E+01

  global error =        0.3435796E-03 iter. number =  4000 denomin. =        0.2575502E+01

  NO convergence  for freq. #     2 after   4001 inner iterations 
 relative error value reduction =       0.34357965E-03


  frequency number     1 frequency :       0.37500000E-02
 jw  real sour, imag sour =      1      0.52183E-03      0.12418E-01

  global error =        0.6639044E-02 iter. number =   100 denomin. =        0.2630152E+01

  global error =        0.5453239E-02 iter. number =   200 denomin. =        0.2600429E+01

  global error =        0.4830085E-02 iter. number =   300 denomin. =        0.2598146E+01

  global error =        0.4685139E-02 iter. number =   400 denomin. =        0.2553641E+01

  global error =        0.4353672E-02 iter. number =   500 denomin. =        0.2508431E+01

  global error =        0.4121926E-02 iter. number =   600 denomin. =        0.2337965E+01

  global error =        0.3932127E-02 iter. number =   700 denomin. =        0.2101184E+01

  global error =        0.3829945E-02 iter. number =   800 denomin. =        0.1874899E+01

  global error =        0.3808967E-02 iter. number =   900 denomin. =        0.1706015E+01

  global error =        0.3888534E-02 iter. number =  1000 denomin. =        0.1547758E+01

  global error =        0.3742489E-02 iter. number =  1100 denomin. =        0.1372514E+01

  global error =        0.3479028E-02 iter. number =  1200 denomin. =        0.1247435E+01

  global error =        0.3279545E-02 iter. number =  1300 denomin. =        0.1142714E+01

  global error =        0.3149168E-02 iter. number =  1400 denomin. =        0.1019538E+01

  global error =        0.3037263E-02 iter. number =  1500 denomin. =        0.9042956E+00

  global error =        0.3001130E-02 iter. number =  1600 denomin. =        0.8093645E+00

  global error =        0.3065713E-02 iter. number =  1700 denomin. =        0.7305425E+00

  global error =        0.2933724E-02 iter. number =  1800 denomin. =        0.6693116E+00

  global error =        0.2897686E-02 iter. number =  1900 denomin. =        0.6311803E+00

  global error =        0.2763991E-02 iter. number =  2000 denomin. =        0.6121428E+00

  global error =        0.2529614E-02 iter. number =  2100 denomin. =        0.6082566E+00

  global error =        0.2481495E-02 iter. number =  2200 denomin. =        0.6029450E+00

  global error =        0.2465445E-02 iter. number =  2300 denomin. =        0.5918883E+00

  global error =        0.2426071E-02 iter. number =  2400 denomin. =        0.5602448E+00

  global error =        0.2360975E-02 iter. number =  2500 denomin. =        0.5128703E+00

  global error =        0.2349167E-02 iter. number =  2600 denomin. =        0.4632537E+00

  global error =        0.2316133E-02 iter. number =  2700 denomin. =        0.4243372E+00

  global error =        0.2256502E-02 iter. number =  2800 denomin. =        0.3949950E+00

  global error =        0.2194992E-02 iter. number =  2900 denomin. =        0.3825292E+00

  global error =        0.2049806E-02 iter. number =  3000 denomin. =        0.3821036E+00

  global error =        0.1865531E-02 iter. number =  3100 denomin. =        0.3925095E+00

  global error =        0.1676632E-02 iter. number =  3200 denomin. =        0.4018319E+00

  global error =        0.1494684E-02 iter. number =  3300 denomin. =        0.4067362E+00

  global error =        0.1350625E-02 iter. number =  3400 denomin. =        0.4073368E+00

  global error =        0.1193404E-02 iter. number =  3500 denomin. =        0.4054574E+00

  global error =        0.1058801E-02 iter. number =  3600 denomin. =        0.3990128E+00

  global error =        0.9293574E-03 iter. number =  3700 denomin. =        0.3948176E+00

  global error =        0.8198257E-03 iter. number =  3800 denomin. =        0.3950602E+00

  global error =        0.7295961E-03 iter. number =  3900 denomin. =        0.3985634E+00

  global error =        0.6406416E-03 iter. number =  4000 denomin. =        0.4023496E+00

  NO convergence  for freq. #     1 after   4001 inner iterations 
 relative error value reduction =       0.64064156E-03

  enters outime
  leaves outime

 tiempo=       38596.766    
