zdrvev.f

famous linear algebra library (LAPACK) ports to windows

                  CALL ZLASET( 'Full', N-3, 1, CZERO, CZERO, A( 3, 1 ),
     $                         LDA )
                  CALL ZLASET( 'Full', N-3, 2, CZERO, CZERO,
     $                         A( 3, N-1 ), LDA )
                  CALL ZLASET( 'Full', 1, N, CZERO, CZERO, A( N, 1 ),
     $                         LDA )
               END IF
*
            ELSE IF( ITYPE.EQ.10 ) THEN
*
*              Triangular, random eigenvalues
*
               CALL ZLATMR( N, N, 'D', ISEED, 'N', WORK, 6, ONE, CONE,
     $                      'T', 'N', WORK( N+1 ), 1, ONE,
     $                      WORK( 2*N+1 ), 1, ONE, 'N', IDUMMA, N, 0,
     $                      ZERO, ANORM, 'NO', A, LDA, IWORK, IINFO )
*
            ELSE
*
               IINFO = 1
            END IF
*
            IF( IINFO.NE.0 ) THEN
               WRITE( NOUNIT, FMT = 9993 )'Generator', IINFO, N, JTYPE,
     $            IOLDSD
               INFO = ABS( IINFO )
               RETURN
            END IF
*
   90       CONTINUE
*
*           Test for minimal and generous workspace
*
            DO 250 IWK = 1, 2
               IF( IWK.EQ.1 ) THEN
                  NNWORK = 2*N
               ELSE
                  NNWORK = 5*N + 2*N**2
               END IF
               NNWORK = MAX( NNWORK, 1 )
*
*              Initialize RESULT
*
               DO 100 J = 1, 7
                  RESULT( J ) = -ONE
  100          CONTINUE
*
*              Compute eigenvalues and eigenvectors, and test them
*
               CALL ZLACPY( 'F', N, N, A, LDA, H, LDA )
               CALL ZGEEV( 'V', 'V', N, H, LDA, W, VL, LDVL, VR, LDVR,
     $                     WORK, NNWORK, RWORK, IINFO )
               IF( IINFO.NE.0 ) THEN
                  RESULT( 1 ) = ULPINV
                  WRITE( NOUNIT, FMT = 9993 )'ZGEEV1', IINFO, N, JTYPE,
     $               IOLDSD
                  INFO = ABS( IINFO )
                  GO TO 220
               END IF
*
*              Do Test (1)
*
               CALL ZGET22( 'N', 'N', 'N', N, A, LDA, VR, LDVR, W, WORK,
     $                      RWORK, RES )
               RESULT( 1 ) = RES( 1 )
*
*              Do Test (2)
*
               CALL ZGET22( 'C', 'N', 'C', N, A, LDA, VL, LDVL, W, WORK,
     $                      RWORK, RES )
               RESULT( 2 ) = RES( 1 )
*
*              Do Test (3)
*
               DO 120 J = 1, N
                  TNRM = DZNRM2( N, VR( 1, J ), 1 )
                  RESULT( 3 ) = MAX( RESULT( 3 ),
     $                          MIN( ULPINV, ABS( TNRM-ONE ) / ULP ) )
                  VMX = ZERO
                  VRMX = ZERO
                  DO 110 JJ = 1, N
                     VTST = ABS( VR( JJ, J ) )
                     IF( VTST.GT.VMX )
     $                  VMX = VTST
                     IF( DIMAG( VR( JJ, J ) ).EQ.ZERO .AND.
     $                   ABS( DBLE( VR( JJ, J ) ) ).GT.VRMX )
     $                   VRMX = ABS( DBLE( VR( JJ, J ) ) )
  110             CONTINUE
                  IF( VRMX / VMX.LT.ONE-TWO*ULP )
     $               RESULT( 3 ) = ULPINV
  120          CONTINUE
*
*              Do Test (4)
*
               DO 140 J = 1, N
                  TNRM = DZNRM2( N, VL( 1, J ), 1 )
                  RESULT( 4 ) = MAX( RESULT( 4 ),
     $                          MIN( ULPINV, ABS( TNRM-ONE ) / ULP ) )
                  VMX = ZERO
                  VRMX = ZERO
                  DO 130 JJ = 1, N
                     VTST = ABS( VL( JJ, J ) )
                     IF( VTST.GT.VMX )
     $                  VMX = VTST
                     IF( DIMAG( VL( JJ, J ) ).EQ.ZERO .AND.
     $                   ABS( DBLE( VL( JJ, J ) ) ).GT.VRMX )
     $                   VRMX = ABS( DBLE( VL( JJ, J ) ) )
  130             CONTINUE
                  IF( VRMX / VMX.LT.ONE-TWO*ULP )
     $               RESULT( 4 ) = ULPINV
  140          CONTINUE
*
*              Compute eigenvalues only, and test them
*
               CALL ZLACPY( 'F', N, N, A, LDA, H, LDA )
               CALL ZGEEV( 'N', 'N', N, H, LDA, W1, DUM, 1, DUM, 1,
     $                     WORK, NNWORK, RWORK, IINFO )
               IF( IINFO.NE.0 ) THEN
                  RESULT( 1 ) = ULPINV
                  WRITE( NOUNIT, FMT = 9993 )'ZGEEV2', IINFO, N, JTYPE,
     $               IOLDSD
                  INFO = ABS( IINFO )
                  GO TO 220
               END IF
*
*              Do Test (5)
*
               DO 150 J = 1, N
                  IF( W( J ).NE.W1( J ) )
     $               RESULT( 5 ) = ULPINV
  150          CONTINUE
*
*              Compute eigenvalues and right eigenvectors, and test them
*
               CALL ZLACPY( 'F', N, N, A, LDA, H, LDA )
               CALL ZGEEV( 'N', 'V', N, H, LDA, W1, DUM, 1, LRE, LDLRE,
     $                     WORK, NNWORK, RWORK, IINFO )
               IF( IINFO.NE.0 ) THEN
                  RESULT( 1 ) = ULPINV
                  WRITE( NOUNIT, FMT = 9993 )'ZGEEV3', IINFO, N, JTYPE,
     $               IOLDSD
                  INFO = ABS( IINFO )
                  GO TO 220
               END IF
*
*              Do Test (5) again
*
               DO 160 J = 1, N
                  IF( W( J ).NE.W1( J ) )
     $               RESULT( 5 ) = ULPINV
  160          CONTINUE
*
*              Do Test (6)
*
               DO 180 J = 1, N
                  DO 170 JJ = 1, N
                     IF( VR( J, JJ ).NE.LRE( J, JJ ) )
     $                  RESULT( 6 ) = ULPINV
  170             CONTINUE
  180          CONTINUE
*
*              Compute eigenvalues and left eigenvectors, and test them
*
               CALL ZLACPY( 'F', N, N, A, LDA, H, LDA )
               CALL ZGEEV( 'V', 'N', N, H, LDA, W1, LRE, LDLRE, DUM, 1,
     $                     WORK, NNWORK, RWORK, IINFO )
               IF( IINFO.NE.0 ) THEN
                  RESULT( 1 ) = ULPINV
                  WRITE( NOUNIT, FMT = 9993 )'ZGEEV4', IINFO, N, JTYPE,
     $               IOLDSD
                  INFO = ABS( IINFO )
                  GO TO 220
               END IF
*
*              Do Test (5) again
*
               DO 190 J = 1, N
                  IF( W( J ).NE.W1( J ) )
     $               RESULT( 5 ) = ULPINV
  190          CONTINUE
*
*              Do Test (7)
*
               DO 210 J = 1, N
                  DO 200 JJ = 1, N
                     IF( VL( J, JJ ).NE.LRE( J, JJ ) )
     $                  RESULT( 7 ) = ULPINV
  200             CONTINUE
  210          CONTINUE
*
*              End of Loop -- Check for RESULT(j) > THRESH
*
  220          CONTINUE
*
               NTEST = 0
               NFAIL = 0
               DO 230 J = 1, 7
                  IF( RESULT( J ).GE.ZERO )
     $               NTEST = NTEST + 1
                  IF( RESULT( J ).GE.THRESH )
     $               NFAIL = NFAIL + 1
  230          CONTINUE
*
               IF( NFAIL.GT.0 )
     $            NTESTF = NTESTF + 1
               IF( NTESTF.EQ.1 ) THEN
                  WRITE( NOUNIT, FMT = 9999 )PATH
                  WRITE( NOUNIT, FMT = 9998 )
                  WRITE( NOUNIT, FMT = 9997 )
                  WRITE( NOUNIT, FMT = 9996 )
                  WRITE( NOUNIT, FMT = 9995 )THRESH
                  NTESTF = 2
               END IF
*
               DO 240 J = 1, 7
                  IF( RESULT( J ).GE.THRESH ) THEN
                     WRITE( NOUNIT, FMT = 9994 )N, IWK, IOLDSD, JTYPE,
     $                  J, RESULT( J )
                  END IF
  240          CONTINUE
*
               NERRS = NERRS + NFAIL
               NTESTT = NTESTT + NTEST
*
  250       CONTINUE
  260    CONTINUE
  270 CONTINUE
*
*     Summary
*
      CALL DLASUM( PATH, NOUNIT, NERRS, NTESTT )
*
 9999 FORMAT( / 1X, A3, ' -- Complex Eigenvalue-Eigenvector ',
     $      'Decomposition Driver', /
     $      ' Matrix types (see ZDRVEV for details): ' )
*
 9998 FORMAT( / ' Special Matrices:', / '  1=Zero matrix.             ',
     $      '           ', '  5=Diagonal: geometr. spaced entries.',
     $      / '  2=Identity matrix.                    ', '  6=Diagona',
     $      'l: clustered entries.', / '  3=Transposed Jordan block.  ',
     $      '          ', '  7=Diagonal: large, evenly spaced.', / '  ',
     $      '4=Diagonal: evenly spaced entries.    ', '  8=Diagonal: s',
     $      'mall, evenly spaced.' )
 9997 FORMAT( ' Dense, Non-Symmetric Matrices:', / '  9=Well-cond., ev',
     $      'enly spaced eigenvals.', ' 14=Ill-cond., geomet. spaced e',
     $      'igenals.', / ' 10=Well-cond., geom. spaced eigenvals. ',
     $      ' 15=Ill-conditioned, clustered e.vals.', / ' 11=Well-cond',
     $      'itioned, clustered e.vals. ', ' 16=Ill-cond., random comp',
     $      'lex ', A6, / ' 12=Well-cond., random complex ', A6, '   ',
     $      ' 17=Ill-cond., large rand. complx ', A4, / ' 13=Ill-condi',
     $      'tioned, evenly spaced.     ', ' 18=Ill-cond., small rand.',
     $      ' complx ', A4 )
 9996 FORMAT( ' 19=Matrix with random O(1) entries.    ', ' 21=Matrix ',
     $      'with small random entries.', / ' 20=Matrix with large ran',
     $      'dom entries.   ', / )
 9995 FORMAT( ' Tests performed with test threshold =', F8.2,
     $      / / ' 1 = | A VR - VR W | / ( n |A| ulp ) ',
     $      / ' 2 = | conj-trans(A) VL - VL conj-trans(W) | /',
     $      ' ( n |A| ulp ) ', / ' 3 = | |VR(i)| - 1 | / ulp ',
     $      / ' 4 = | |VL(i)| - 1 | / ulp ',
     $      / ' 5 = 0 if W same no matter if VR or VL computed,',
     $      ' 1/ulp otherwise', /
     $      ' 6 = 0 if VR same no matter if VL computed,',
     $      '  1/ulp otherwise', /
     $      ' 7 = 0 if VL same no matter if VR computed,',
     $      '  1/ulp otherwise', / )
 9994 FORMAT( ' N=', I5, ', IWK=', I2, ', seed=', 4( I4, ',' ),
     $      ' type ', I2, ', test(', I2, ')=', G10.3 )
 9993 FORMAT( ' ZDRVEV: ', A, ' returned INFO=', I6, '.', / 9X, 'N=',
     $      I6, ', JTYPE=', I6, ', ISEED=(', 3( I5, ',' ), I5, ')' )
*
      RETURN
*
*     End of ZDRVEV
*
      END