Harting-Yaman case-1 7-01-04                                                    
     ______________________________________________________

     determination of eigenvalues by jacobi's method, where

        n      =    3
        itmax  =   50
        eps1   =    0.100E-09
        eps2   =    0.100E-09
        eps3   =    0.100E-04

     the starting matrix a(1,1)...a(n,n) is

         0.100E+01  0.000E+00  0.000E+00
         0.000E+00 -0.200E+01  0.000E+00
         0.000E+00  0.000E+00  0.300E+01
       convergence has occured, where
       iter   =     1         s =  0.140E+02    sigma2 =  0.140E+02
     ____________________


     eigenvalues eigen(1)...eigen(n) are

         0.100E+01 -0.200E+01  0.300E+01

     eignevectors are in corresponding columns of the following matrix

         0.100E+01  0.000E+00  0.000E+00
         0.000E+00  0.100E+01  0.000E+00
         0.000E+00  0.000E+00  0.100E+01

     corresonding angles (degrees)
          0.000000   0.000000   0.000000

     ______________________________________________________

     determination of eigenvalues by jacobi's method, where

        n      =    3
        itmax  =   50
        eps1   =    0.100E-09
        eps2   =    0.100E-09
        eps3   =    0.100E-04

     the starting matrix a(1,1)...a(n,n) is

         0.270E+03  0.450E+02  0.000E+00
         0.450E+02  0.200E+03  0.000E+00
         0.000E+00  0.000E+00  0.100E+01
       iter   =     1    sigma1 =  0.113E+06    sigma2 =  0.117E+06
       convergence has occured, where
       iter   =     2         s =  0.117E+06    sigma2 =  0.117E+06
     ____________________


     eigenvalues eigen(1)...eigen(n) are

         0.292E+03  0.178E+03  0.100E+01

     eignevectors are in corresponding columns of the following matrix

         0.898E+00  0.439E+00  0.000E+00
         0.439E+00 -0.898E+00  0.000E+00
         0.000E+00  0.000E+00  0.100E+01

     corresonding angles (degrees)
         26.062507 153.937488   0.000000

     ______________________________________________________

     determination of eigenvalues by jacobi's method, where

        n      =    3
        itmax  =   50
        eps1   =    0.100E-09
        eps2   =    0.100E-09
        eps3   =    0.100E-04

     the starting matrix a(1,1)...a(n,n) is

         0.370E+02  0.330E+02  0.500E+01
         0.330E+02 -0.128E+03  0.360E+02
         0.500E+01  0.360E+02 -0.800E+01
       iter   =     1    sigma1 =  0.178E+05    sigma2 =  0.225E+05
       iter   =     2    sigma1 =  0.225E+05    sigma2 =  0.226E+05
       convergence has occured, where
       iter   =     3         s =  0.226E+05    sigma2 =  0.226E+05
     ____________________


     eigenvalues eigen(1)...eigen(n) are

         0.462E+02 -0.143E+03 -0.207E+01

     eignevectors are in corresponding columns of the following matrix

         0.944E+00  0.168E+00  0.284E+00
         0.228E+00 -0.954E+00 -0.194E+00
         0.238E+00  0.248E+00 -0.939E+00

     corresonding angles (degrees)
         19.263868 162.577495 159.882246

     ______________________________________________________

     determination of eigenvalues by jacobi's method, where

        n      =    3
        itmax  =   50
        eps1   =    0.100E-09
        eps2   =    0.100E-09
        eps3   =    0.100E-04

     the starting matrix a(1,1)...a(n,n) is

        -0.163E+03  0.150E+02  0.700E+01
         0.150E+02 -0.390E+03  0.700E+02
         0.700E+01  0.700E+02 -0.200E+02
       iter   =     1    sigma1 =  0.179E+06    sigma2 =  0.189E+06
       iter   =     2    sigma1 =  0.189E+06    sigma2 =  0.189E+06
       convergence has occured, where
       iter   =     3         s =  0.189E+06    sigma2 =  0.189E+06
     ____________________


     eigenvalues eigen(1)...eigen(n) are

        -0.163E+03 -0.404E+03 -0.661E+01

     eignevectors are in corresponding columns of the following matrix

         0.997E+00  0.561E-01 -0.613E-01
         0.441E-01 -0.982E+00 -0.182E+00
        -0.704E-01  0.178E+00 -0.981E+00

     corresonding angles (degrees)
          4.767365 169.229633 168.949200


  Maximum =  0.10000E-04  Minimum =  0.50000E-05  Scale Factor =  0.20000E+07

  x(1)= 0.10000E+02  y(1)= 0.00000E+00  z(1)= 0.00000E+00

  x(2)= 0.00000E+00  y(2)= 0.00000E+00  z(2)= 0.00000E+00

  x(3)= 0.00000E+00  y(3)= 0.00000E+00  z(3)=-0.10000E+02

  x(4)= 0.00000E+00  y(4)= 0.00000E+00  z(4)=-0.20000E+02