Page 143 - Compact Numerical Methods For Computers

132 Compact numerical methods for computers
S=A( 1 , 4 )= 7.41318E-03 LOG10(S)+10= 7.870004752
s=A( 1 , 5 )= 1.82147E-03 LOG10(S)+10= 7.260421332
S=A( 1 , 6 )= 7.52768E-05 LOG10(S)+10= 5.876661279
S=A( 1 , 7 )= 1.64317E-06 LOG10(S)+10= 4.215681882
S=A( 2 , 3 )= 4.960549737 LOG10(S)+10= 10.6955298
S=A( 2 , 4 )= 0.125876293 LOG10(S)+10= 9.099943945
S=A( 2 , 5 )= 0.022728042 LOG10(S)+10= 8.356562015
S=A( 2 , 6 )= 9.21734E-04 LOG10(S)+10= 6.964605555
S=A( 2 , 7 )= 2.08461E-05 LOG10(S)+10= 5.319024874
S=A( 3 , 4 )= 0.566085721 LOG10(S)+10= 9.7528822
S=A( 3 , 5 )= 0.060712798 LOG10(S)+10= 8.78328025
S=A( 3 , 6 )= 2.40536E-03 LOG10(S)+10= 7.381180598
S=A( 3 , 7 )= 5.40200E-05 LOG10(S)+10= 5.73255455
s=A( 4 , 5 )= 0.077233589 LOG10(S)+10= 8.887806215
S=A( 4 , 6 )= 2.86862E-03 LOG10(S)+10= 7.457672605
S=A( 4 , 7 )= 6.29383E-05 LOG10(S)+10= 5.798915030
S=A( 5 , 6 )= 7.568018813 LOG10(S)+10= 10.8789822
S=A( 5 , 7 )= 0.105281178 LOG10(S)+10= 9.022350736
S=A( 6 , 7 )= 0.440491969 LOG10(S)+10= 9.643937995
MATRIX
ROW 1 :
-5.509882 0.733711324 0.144098438 7.41318E-03 1.82147E-03
7.52768E-05 1.64317E-06
ROW 2 :
0.733711324 -11.811654 4.960549737 0.125876293 0.022728042
9.21734E-04 2.08461E-05
ROW 3 :
0.144098438 4.960549737 -12.970687 0.566085721 0.060712798
2.40536E-03 5.40200E-05
ROW 4 :
7.41318E-03 0.125876293 9.566085721 -17.596207 0.077233589
2.86362E-03 6.29383E-05
ROW 5 :
1.82147E-03 0.022728042 0.060712798 0.077233589 -7.489041
7.568018813 0.105281178
ROW 6 :
7.52768E-05 9.21734E-04 2.40536E-03 2.86862E-03 7.568018813
-18.58541 0.440491969
ROW 7 :
1.64317E-06 2.08461E-05 5.40200E-05 6.29383E-05 0.105281178
0.440491969 -2.325935
NASH JACOBI ALG. 14 DEC 13/77
0 ROTATIONS SKIPPED
0 ROTATIONS SKIPPED
0 ROTATIONS SKIPPED
5 ROTATIONS SKIPPED
19 ROTATIONS SKIPPED
21 ROTATIONS SKIPPED
CONVERGED
EIGENVALUE 1 =-2.258417596 VECTOR:
4.90537E-04 1.37576E-03 1.72184E-03 9.85037E-04 0.175902256
0.107934624 0.978469440
EIGENVALUE 2 =-3.713643588 VECTOR:
6.13203E-03 0.010411191 0.011861238 5.53618E-03 0.874486723
0.438925002 -0.205670808
EIGENVALUE 3 =-5.298872615 VECTOR:
-0.954835405 -0.240328992 -0.174066634 -0.010989746 9.16066E-03
5.12620E-03 -1.07833E-03
EIGENVALUE 4 =-7.574719192 VECTOR:
0.295304747 -0.704148469 -0.644023478 -0.044915626 0.011341429
7.55197E-03 -8.51399E-04
EIGENVALUE 5 =-17.15255764 VECTOR:
-0.027700000 0.560202581 -0.584183372 -0.586587905 1.65695E-03
6.88542E-03 -2.12488E-04