zdrvgg.f
来自「famous linear algebra library (LAPACK) p」· F 代码 · 共 814 行 · 第 1/3 页
F
814 行
$ ISEED, B, LDA )
IADD = KADD( KBZERO( JTYPE ) )
IF( IADD.NE.0 .AND. IADD.LE.N )
$ B( IADD, IADD ) = RMAGN( KBMAGN( JTYPE ) )
*
IF( KCLASS( JTYPE ).EQ.2 .AND. N.GT.0 ) THEN
*
* Include rotations
*
* Generate Q, Z as Householder transformations times
* a diagonal matrix.
*
DO 50 JC = 1, N - 1
DO 40 JR = JC, N
Q( JR, JC ) = ZLARND( 3, ISEED )
Z( JR, JC ) = ZLARND( 3, ISEED )
40 CONTINUE
CALL ZLARFG( N+1-JC, Q( JC, JC ), Q( JC+1, JC ), 1,
$ WORK( JC ) )
WORK( 2*N+JC ) = SIGN( ONE, DBLE( Q( JC, JC ) ) )
Q( JC, JC ) = CONE
CALL ZLARFG( N+1-JC, Z( JC, JC ), Z( JC+1, JC ), 1,
$ WORK( N+JC ) )
WORK( 3*N+JC ) = SIGN( ONE, DBLE( Z( JC, JC ) ) )
Z( JC, JC ) = CONE
50 CONTINUE
CTEMP = ZLARND( 3, ISEED )
Q( N, N ) = CONE
WORK( N ) = CZERO
WORK( 3*N ) = CTEMP / ABS( CTEMP )
CTEMP = ZLARND( 3, ISEED )
Z( N, N ) = CONE
WORK( 2*N ) = CZERO
WORK( 4*N ) = CTEMP / ABS( CTEMP )
*
* Apply the diagonal matrices
*
DO 70 JC = 1, N
DO 60 JR = 1, N
A( JR, JC ) = WORK( 2*N+JR )*
$ DCONJG( WORK( 3*N+JC ) )*
$ A( JR, JC )
B( JR, JC ) = WORK( 2*N+JR )*
$ DCONJG( WORK( 3*N+JC ) )*
$ B( JR, JC )
60 CONTINUE
70 CONTINUE
CALL ZUNM2R( 'L', 'N', N, N, N-1, Q, LDQ, WORK, A,
$ LDA, WORK( 2*N+1 ), IINFO )
IF( IINFO.NE.0 )
$ GO TO 100
CALL ZUNM2R( 'R', 'C', N, N, N-1, Z, LDQ, WORK( N+1 ),
$ A, LDA, WORK( 2*N+1 ), IINFO )
IF( IINFO.NE.0 )
$ GO TO 100
CALL ZUNM2R( 'L', 'N', N, N, N-1, Q, LDQ, WORK, B,
$ LDA, WORK( 2*N+1 ), IINFO )
IF( IINFO.NE.0 )
$ GO TO 100
CALL ZUNM2R( 'R', 'C', N, N, N-1, Z, LDQ, WORK( N+1 ),
$ B, LDA, WORK( 2*N+1 ), IINFO )
IF( IINFO.NE.0 )
$ GO TO 100
END IF
ELSE
*
* Random matrices
*
DO 90 JC = 1, N
DO 80 JR = 1, N
A( JR, JC ) = RMAGN( KAMAGN( JTYPE ) )*
$ ZLARND( 4, ISEED )
B( JR, JC ) = RMAGN( KBMAGN( JTYPE ) )*
$ ZLARND( 4, ISEED )
80 CONTINUE
90 CONTINUE
END IF
*
100 CONTINUE
*
IF( IINFO.NE.0 ) THEN
WRITE( NOUNIT, FMT = 9999 )'Generator', IINFO, N, JTYPE,
$ IOLDSD
INFO = ABS( IINFO )
RETURN
END IF
*
110 CONTINUE
*
* Call ZGEGS to compute H, T, Q, Z, alpha, and beta.
*
CALL ZLACPY( ' ', N, N, A, LDA, S, LDA )
CALL ZLACPY( ' ', N, N, B, LDA, T, LDA )
NTEST = 1
RESULT( 1 ) = ULPINV
*
CALL ZGEGS( 'V', 'V', N, S, LDA, T, LDA, ALPHA1, BETA1, Q,
$ LDQ, Z, LDQ, WORK, LWORK, RWORK, IINFO )
IF( IINFO.NE.0 ) THEN
WRITE( NOUNIT, FMT = 9999 )'ZGEGS', IINFO, N, JTYPE,
$ IOLDSD
INFO = ABS( IINFO )
GO TO 130
END IF
*
NTEST = 4
*
* Do tests 1--4
*
CALL ZGET51( 1, N, A, LDA, S, LDA, Q, LDQ, Z, LDQ, WORK,
$ RWORK, RESULT( 1 ) )
CALL ZGET51( 1, N, B, LDA, T, LDA, Q, LDQ, Z, LDQ, WORK,
$ RWORK, RESULT( 2 ) )
CALL ZGET51( 3, N, B, LDA, T, LDA, Q, LDQ, Q, LDQ, WORK,
$ RWORK, RESULT( 3 ) )
CALL ZGET51( 3, N, B, LDA, T, LDA, Z, LDQ, Z, LDQ, WORK,
$ RWORK, RESULT( 4 ) )
*
* Do test 5: compare eigenvalues with diagonals.
*
TEMP1 = ZERO
*
DO 120 J = 1, N
TEMP2 = ( ABS1( ALPHA1( J )-S( J, J ) ) /
$ MAX( SAFMIN, ABS1( ALPHA1( J ) ), ABS1( S( J,
$ J ) ) )+ABS1( BETA1( J )-T( J, J ) ) /
$ MAX( SAFMIN, ABS1( BETA1( J ) ), ABS1( T( J,
$ J ) ) ) ) / ULP
TEMP1 = MAX( TEMP1, TEMP2 )
120 CONTINUE
RESULT( 5 ) = TEMP1
*
* Call ZGEGV to compute S2, T2, VL, and VR, do tests.
*
* Eigenvalues and Eigenvectors
*
CALL ZLACPY( ' ', N, N, A, LDA, S2, LDA )
CALL ZLACPY( ' ', N, N, B, LDA, T2, LDA )
NTEST = 6
RESULT( 6 ) = ULPINV
*
CALL ZGEGV( 'V', 'V', N, S2, LDA, T2, LDA, ALPHA2, BETA2,
$ VL, LDQ, VR, LDQ, WORK, LWORK, RWORK, IINFO )
IF( IINFO.NE.0 ) THEN
WRITE( NOUNIT, FMT = 9999 )'ZGEGV', IINFO, N, JTYPE,
$ IOLDSD
INFO = ABS( IINFO )
GO TO 130
END IF
*
NTEST = 7
*
* Do Tests 6 and 7
*
CALL ZGET52( .TRUE., N, A, LDA, B, LDA, VL, LDQ, ALPHA2,
$ BETA2, WORK, RWORK, DUMMA( 1 ) )
RESULT( 6 ) = DUMMA( 1 )
IF( DUMMA( 2 ).GT.THRSHN ) THEN
WRITE( NOUNIT, FMT = 9998 )'Left', 'ZGEGV', DUMMA( 2 ),
$ N, JTYPE, IOLDSD
END IF
*
CALL ZGET52( .FALSE., N, A, LDA, B, LDA, VR, LDQ, ALPHA2,
$ BETA2, WORK, RWORK, DUMMA( 1 ) )
RESULT( 7 ) = DUMMA( 1 )
IF( DUMMA( 2 ).GT.THRESH ) THEN
WRITE( NOUNIT, FMT = 9998 )'Right', 'ZGEGV', DUMMA( 2 ),
$ N, JTYPE, IOLDSD
END IF
*
* End of Loop -- Check for RESULT(j) > THRESH
*
130 CONTINUE
*
NTESTT = NTESTT + NTEST
*
* Print out tests which fail.
*
DO 140 JR = 1, NTEST
IF( RESULT( JR ).GE.THRESH ) THEN
*
* If this is the first test to fail,
* print a header to the data file.
*
IF( NERRS.EQ.0 ) THEN
WRITE( NOUNIT, FMT = 9997 )'ZGG'
*
* Matrix types
*
WRITE( NOUNIT, FMT = 9996 )
WRITE( NOUNIT, FMT = 9995 )
WRITE( NOUNIT, FMT = 9994 )'Unitary'
*
* Tests performed
*
WRITE( NOUNIT, FMT = 9993 )'unitary', '*',
$ 'conjugate transpose', ( '*', J = 1, 5 )
*
END IF
NERRS = NERRS + 1
IF( RESULT( JR ).LT.10000.0D0 ) THEN
WRITE( NOUNIT, FMT = 9992 )N, JTYPE, IOLDSD, JR,
$ RESULT( JR )
ELSE
WRITE( NOUNIT, FMT = 9991 )N, JTYPE, IOLDSD, JR,
$ RESULT( JR )
END IF
END IF
140 CONTINUE
*
150 CONTINUE
160 CONTINUE
*
* Summary
*
CALL ALASVM( 'ZGG', NOUNIT, NERRS, NTESTT, 0 )
RETURN
*
9999 FORMAT( ' ZDRVGG: ', A, ' returned INFO=', I6, '.', / 9X, 'N=',
$ I6, ', JTYPE=', I6, ', ISEED=(', 3( I5, ',' ), I5, ')' )
*
9998 FORMAT( ' ZDRVGG: ', A, ' Eigenvectors from ', A, ' incorrectly ',
$ 'normalized.', / ' Bits of error=', 0P, G10.3, ',', 9X,
$ 'N=', I6, ', JTYPE=', I6, ', ISEED=(', 3( I5, ',' ), I5,
$ ')' )
*
9997 FORMAT( / 1X, A3,
$ ' -- Complex Generalized eigenvalue problem driver' )
*
9996 FORMAT( ' Matrix types (see ZDRVGG for details): ' )
*
9995 FORMAT( ' Special Matrices:', 23X,
$ '(J''=transposed Jordan block)',
$ / ' 1=(0,0) 2=(I,0) 3=(0,I) 4=(I,I) 5=(J'',J'') ',
$ '6=(diag(J'',I), diag(I,J''))', / ' Diagonal Matrices: ( ',
$ 'D=diag(0,1,2,...) )', / ' 7=(D,I) 9=(large*D, small*I',
$ ') 11=(large*I, small*D) 13=(large*D, large*I)', /
$ ' 8=(I,D) 10=(small*D, large*I) 12=(small*I, large*D) ',
$ ' 14=(small*D, small*I)', / ' 15=(D, reversed D)' )
9994 FORMAT( ' Matrices Rotated by Random ', A, ' Matrices U, V:',
$ / ' 16=Transposed Jordan Blocks 19=geometric ',
$ 'alpha, beta=0,1', / ' 17=arithm. alpha&beta ',
$ ' 20=arithmetic alpha, beta=0,1', / ' 18=clustered ',
$ 'alpha, beta=0,1 21=random alpha, beta=0,1',
$ / ' Large & Small Matrices:', / ' 22=(large, small) ',
$ '23=(small,large) 24=(small,small) 25=(large,large)',
$ / ' 26=random O(1) matrices.' )
*
9993 FORMAT( / ' Tests performed: (S is Schur, T is triangular, ',
$ 'Q and Z are ', A, ',', / 20X,
$ 'l and r are the appropriate left and right', / 19X,
$ 'eigenvectors, resp., a is alpha, b is beta, and', / 19X, A,
$ ' means ', A, '.)', / ' 1 = | A - Q S Z', A,
$ ' | / ( |A| n ulp ) 2 = | B - Q T Z', A,
$ ' | / ( |B| n ulp )', / ' 3 = | I - QQ', A,
$ ' | / ( n ulp ) 4 = | I - ZZ', A,
$ ' | / ( n ulp )', /
$ ' 5 = difference between (alpha,beta) and diagonals of',
$ ' (S,T)', / ' 6 = max | ( b A - a B )', A,
$ ' l | / const. 7 = max | ( b A - a B ) r | / const.',
$ / 1X )
9992 FORMAT( ' Matrix order=', I5, ', type=', I2, ', seed=',
$ 4( I4, ',' ), ' result ', I3, ' is', 0P, F8.2 )
9991 FORMAT( ' Matrix order=', I5, ', type=', I2, ', seed=',
$ 4( I4, ',' ), ' result ', I3, ' is', 1P, D10.3 )
*
* End of ZDRVGG
*
END
⌨️ 快捷键说明
复制代码Ctrl + C
搜索代码Ctrl + F
全屏模式F11
增大字号Ctrl + =
减小字号Ctrl + -
显示快捷键?