sdrvsy_rk.f

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*> \brief \b SDRVSY_RK
*
*  =========== DOCUMENTATION ===========
*
* Online html documentation available at
*            http://www.netlib.org/lapack/explore-html/
*
*  Definition:
*  ===========
*
*     SUBROUTINE SDRVSY_RK( DOTYPE, NN, NVAL, NRHS, THRESH, TSTERR,
*    $                      NMAX, A, AFAC, E, AINV, B, X, XACT, WORK,
*    $                      RWORK, IWORK, NOUT )
*
*       .. Scalar Arguments ..
*       LOGICAL            TSTERR
*       INTEGER            NMAX, NN, NOUT, NRHS
*       REAL               THRESH
*       ..
*       .. Array Arguments ..
*       LOGICAL            DOTYPE( * )
*       INTEGER            IWORK( * ), NVAL( * )
*       REAL               A( * ), AFAC( * ), E( * ), AINV( * ), B( * ),
*      $                   RWORK( * ), WORK( * ), X( * ), XACT( * )
*       ..
*
*
*> \par Purpose:
*  =============
*>
*> \verbatim
*> SDRVSY_RK tests the driver routines SSYSV_RK.
*> \endverbatim
*
*  Arguments:
*  ==========
*
*> \param[in] DOTYPE
*> \verbatim
*>          DOTYPE is LOGICAL array, dimension (NTYPES)
*>          The matrix types to be used for testing.  Matrices of type j
*>          (for 1 <= j <= NTYPES) are used for testing if DOTYPE(j) =
*>          .TRUE.; if DOTYPE(j) = .FALSE., then type j is not used.
*> \endverbatim
*>
*> \param[in] NN
*> \verbatim
*>          NN is INTEGER
*>          The number of values of N contained in the vector NVAL.
*> \endverbatim
*>
*> \param[in] NVAL
*> \verbatim
*>          NVAL is INTEGER array, dimension (NN)
*>          The values of the matrix dimension N.
*> \endverbatim
*>
*> \param[in] NRHS
*> \verbatim
*>          NRHS is INTEGER
*>          The number of right hand side vectors to be generated for
*>          each linear system.
*> \endverbatim
*>
*> \param[in] THRESH
*> \verbatim
*>          THRESH is REAL
*>          The threshold value for the test ratios.  A result is
*>          included in the output file if RESULT >= THRESH.  To have
*>          every test ratio printed, use THRESH = 0.
*> \endverbatim
*>
*> \param[in] TSTERR
*> \verbatim
*>          TSTERR is LOGICAL
*>          Flag that indicates whether error exits are to be tested.
*> \endverbatim
*>
*> \param[in] NMAX
*> \verbatim
*>          NMAX is INTEGER
*>          The maximum value permitted for N, used in dimensioning the
*>          work arrays.
*> \endverbatim
*>
*> \param[out] A
*> \verbatim
*>          A is REAL array, dimension (NMAX*NMAX)
*> \endverbatim
*>
*> \param[out] AFAC
*> \verbatim
*>          AFAC is REAL array, dimension (NMAX*NMAX)
*> \endverbatim
*>
*> \param[out] E
*> \verbatim
*>          E is REAL array, dimension (NMAX)
*> \endverbatim
*>
*> \param[out] AINV
*> \verbatim
*>          AINV is REAL array, dimension (NMAX*NMAX)
*> \endverbatim
*>
*> \param[out] B
*> \verbatim
*>          B is REAL array, dimension (NMAX*NRHS)
*> \endverbatim
*>
*> \param[out] X
*> \verbatim
*>          X is REAL array, dimension (NMAX*NRHS)
*> \endverbatim
*>
*> \param[out] XACT
*> \verbatim
*>          XACT is REAL array, dimension (NMAX*NRHS)
*> \endverbatim
*>
*> \param[out] WORK
*> \verbatim
*>          WORK is REAL array, dimension (NMAX*max(2,NRHS))
*> \endverbatim
*>
*> \param[out] RWORK
*> \verbatim
*>          RWORK is REAL array, dimension (NMAX+2*NRHS)
*> \endverbatim
*>
*> \param[out] IWORK
*> \verbatim
*>          IWORK is INTEGER array, dimension (2*NMAX)
*> \endverbatim
*>
*> \param[in] NOUT
*> \verbatim
*>          NOUT is INTEGER
*>          The unit number for output.
*> \endverbatim
*
*  Authors:
*  ========
*
*> \author Univ. of Tennessee
*> \author Univ. of California Berkeley
*> \author Univ. of Colorado Denver
*> \author NAG Ltd.
*
*> \ingroup single_lin
*
*  =====================================================================
      SUBROUTINE sdrvsy_rk( DOTYPE, NN, NVAL, NRHS, THRESH, TSTERR,
     $                      NMAX, A, AFAC, E, AINV, B, X, XACT, WORK,
     $                      RWORK, IWORK, NOUT )
*
*  -- LAPACK test routine --
*  -- LAPACK is a software package provided by Univ. of Tennessee,    --
*  -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
*
*     .. Scalar Arguments ..
      LOGICAL            TSTERR
      INTEGER            NMAX, NN, NOUT, NRHS
      REAL               THRESH
*     ..
*     .. Array Arguments ..
      LOGICAL            DOTYPE( * )
      INTEGER            IWORK( * ), NVAL( * )
      REAL               A( * ), AFAC( * ), AINV( * ), B( * ), E( * ),
     $                   rwork( * ), work( * ), x( * ), xact( * )
*     ..
*
*  =====================================================================
*
*     .. Parameters ..
      REAL               ONE, ZERO
      PARAMETER          ( ONE = 1.0e+0, zero = 0.0e+0 )
      INTEGER            NTYPES, NTESTS
      parameter( ntypes = 10, ntests = 3 )
      INTEGER            NFACT
      parameter( nfact = 2 )
*     ..
*     .. Local Scalars ..
      LOGICAL            ZEROT
      CHARACTER          DIST, FACT, TYPE, UPLO, XTYPE
      CHARACTER*3        PATH, MATPATH
      INTEGER            I, I1, I2, IFACT, IMAT, IN, INFO, IOFF, IUPLO,
     $                   izero, j, k, kl, ku, lda, lwork, mode, n,
     $                   nb, nbmin, nerrs, nfail, nimat, nrun, nt
      REAL               AINVNM, ANORM, CNDNUM, RCONDC
*     ..
*     .. Local Arrays ..
      CHARACTER          FACTS( NFACT ), UPLOS( 2 )
      INTEGER            ISEED( 4 ), ISEEDY( 4 )
      REAL               RESULT( NTESTS )
*     ..
*     .. External Functions ..
      REAL               SLANSY
      EXTERNAL           SLANSY
*     ..
*     .. External Subroutines ..
      EXTERNAL           aladhd, alaerh, alasvm, serrvx, sget04, slacpy,
     $                   slarhs, slatb4, slatms, spot02, ssysv_rk,
     $                   ssyt01_3, ssytrf_rk, ssytri_3, xlaenv
*     ..
*     .. Scalars in Common ..
      LOGICAL            LERR, OK
      CHARACTER*32       SRNAMT
      INTEGER            INFOT, NUNIT
*     ..
*     .. Common blocks ..
      COMMON             / infoc / infot, nunit, ok, lerr
      COMMON             / srnamc / srnamt
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          max, min
*     ..
*     .. Data statements ..
      DATA               iseedy / 1988, 1989, 1990, 1991 /
      DATA               uplos / 'U', 'L' / , facts / 'F', 'N' /
*     ..
*     .. Executable Statements ..
*
*     Initialize constants and the random number seed.
*
*     Test path
*
      path( 1: 1 ) = 'Single precision'
      path( 2: 3 ) = 'SK'
*
*     Path to generate matrices
*
      matpath( 1: 1 ) = 'Single precision'
      matpath( 2: 3 ) = 'SY'
*
      nrun = 0
      nfail = 0
      nerrs = 0
      DO 10 i = 1, 4
         iseed( i ) = iseedy( i )
   10 CONTINUE
      lwork = max( 2*nmax, nmax*nrhs )
*
*     Test the error exits
*
      IF( tsterr )
     $   CALL serrvx( path, nout )
      infot = 0
*
*     Set the block size and minimum block size for which the block
*     routine should be used, which will be later returned by ILAENV.
*
      nb = 1
      nbmin = 2
      CALL xlaenv( 1, nb )
      CALL xlaenv( 2, nbmin )
*
*     Do for each value of N in NVAL
*
      DO 180 in = 1, nn
         n = nval( in )
         lda = max( n, 1 )
         xtype = 'N'
         nimat = ntypes
         IF( n.LE.0 )
     $      nimat = 1
*
         DO 170 imat = 1, nimat
*
*           Do the tests only if DOTYPE( IMAT ) is true.
*
            IF( .NOT.dotype( imat ) )
     $         GO TO 170
*
*           Skip types 3, 4, 5, or 6 if the matrix size is too small.
*
            zerot = imat.GE.3 .AND. imat.LE.6
            IF( zerot .AND. n.LT.imat-2 )
     $         GO TO 170
*
*           Do first for UPLO = 'U', then for UPLO = 'L'
*
            DO 160 iuplo = 1, 2
               uplo = uplos( iuplo )
*
*              Begin generate the test matrix A.
*
*              Set up parameters with SLATB4 for the matrix generator
*              based on the type of matrix to be generated.
*
               CALL slatb4( matpath, imat, n, n, TYPE, kl, ku, anorm,
     $                      mode, cndnum, dist )
*
*              Generate a matrix with SLATMS.
*
               srnamt = 'SLATMS'
               CALL slatms( n, n, dist, iseed, TYPE, rwork, mode,
     $                      cndnum, anorm, kl, ku, uplo, a, lda, work,
     $                      info )
*
*              Check error code from SLATMS and handle error.
*
               IF( info.NE.0 ) THEN
                  CALL alaerh( path, 'SLATMS', info, 0, uplo, n, n, -1,
     $                         -1, -1, imat, nfail, nerrs, nout )
*
*                 Skip all tests for this generated matrix
*
                  GO TO 160
               END IF
*
*              For types 3-6, zero one or more rows and columns of the
*              matrix to test that INFO is returned correctly.
*
               IF( zerot ) THEN
                  IF( imat.EQ.3 ) THEN
                     izero = 1
                  ELSE IF( imat.EQ.4 ) THEN
                     izero = n
                  ELSE
                     izero = n / 2 + 1
                  END IF
*
                  IF( imat.LT.6 ) THEN
*
*                    Set row and column IZERO to zero.
*
                     IF( iuplo.EQ.1 ) THEN
                        ioff = ( izero-1 )*lda
                        DO 20 i = 1, izero - 1
                           a( ioff+i ) = zero
   20                   CONTINUE
                        ioff = ioff + izero
                        DO 30 i = izero, n
                           a( ioff ) = zero
                           ioff = ioff + lda
   30                   CONTINUE
                     ELSE
                        ioff = izero
                        DO 40 i = 1, izero - 1
                           a( ioff ) = zero
                           ioff = ioff + lda
   40                   CONTINUE
                        ioff = ioff - izero
                        DO 50 i = izero, n
                           a( ioff+i ) = zero
   50                   CONTINUE
                     END IF
                  ELSE
                     ioff = 0
                     IF( iuplo.EQ.1 ) THEN
*
*                       Set the first IZERO rows and columns to zero.
*
                        DO 70 j = 1, n
                           i2 = min( j, izero )
                           DO 60 i = 1, i2
                              a( ioff+i ) = zero
   60                      CONTINUE
                           ioff = ioff + lda
   70                   CONTINUE
                     ELSE
*
*                       Set the last IZERO rows and columns to zero.
*
                        DO 90 j = 1, n
                           i1 = max( j, izero )
                           DO 80 i = i1, n
                              a( ioff+i ) = zero
   80                      CONTINUE
                           ioff = ioff + lda
   90                   CONTINUE
                     END IF
                  END IF
               ELSE
                  izero = 0
               END IF
*
*              End generate the test matrix A.
*
               DO 150 ifact = 1, nfact
*
*                 Do first for FACT = 'F', then for other values.
*
                  fact = facts( ifact )
*
*                 Compute the condition number
*
                  IF( zerot ) THEN
                     IF( ifact.EQ.1 )
     $                  GO TO 150
                     rcondc = zero
*
                  ELSE IF( ifact.EQ.1 ) THEN
*
*                    Compute the 1-norm of A.
*
                     anorm = slansy( '1', uplo, n, a, lda, rwork )
*
*                    Factor the matrix A.
*
                     CALL slacpy( uplo, n, n, a, lda, afac, lda )
                     CALL ssytrf_rk( uplo, n, afac, lda, e, iwork, work,
     $                               lwork, info )
*
*                    Compute inv(A) and take its norm.
*
                     CALL slacpy( uplo, n, n, afac, lda, ainv, lda )
                     lwork = (n+nb+1)*(nb+3)
*
*                    We need to compute the inverse to compute
*                    RCONDC that is used later in TEST3.
*
                     CALL ssytri_3( uplo, n, ainv, lda, e, iwork,
     $                              work, lwork, info )
                     ainvnm = slansy( '1', uplo, n, ainv, lda, rwork )
*
*                    Compute the 1-norm condition number of A.
*
                     IF( anorm.LE.zero .OR. ainvnm.LE.zero ) THEN
                        rcondc = one
                     ELSE
                        rcondc = ( one / anorm ) / ainvnm
                     END IF
                  END IF
*
*                 Form an exact solution and set the right hand side.
*
                  srnamt = 'SLARHS'
                  CALL slarhs( matpath, xtype, uplo, ' ', n, n, kl, ku,
     $                         nrhs, a, lda, xact, lda, b, lda, iseed,
     $                         info )
                  xtype = 'C'
*
*                 --- Test SSYSV_RK  ---
*
                  IF( ifact.EQ.2 ) THEN
                     CALL slacpy( uplo, n, n, a, lda, afac, lda )
                     CALL slacpy( 'Full', n, nrhs, b, lda, x, lda )
*
*                    Factor the matrix and solve the system using
*                    SSYSV_RK.
*
                     srnamt = 'SSYSV_RK'
                     CALL ssysv_rk( uplo, n, nrhs, afac, lda, e, iwork,
     $                              x, lda, work, lwork, info )
*
*                    Adjust the expected value of INFO to account for
*                    pivoting.
*
                     k = izero
                     IF( k.GT.0 ) THEN
  100                   CONTINUE
                        IF( iwork( k ).LT.0 ) THEN
                           IF( iwork( k ).NE.-k ) THEN
                              k = -iwork( k )
                              GO TO 100
                           END IF
                        ELSE IF( iwork( k ).NE.k ) THEN
                           k = iwork( k )
                           GO TO 100
                        END IF
                     END IF
*
*                    Check error code from SSYSV_RK and handle error.
*
                     IF( info.NE.k ) THEN
                        CALL alaerh( path, 'SSYSV_RK', info, k, uplo,
     $                               n, n, -1, -1, nrhs, imat, nfail,
     $                               nerrs, nout )
                        GO TO 120
                     ELSE IF( info.NE.0 ) THEN
                        GO TO 120
                     END IF
*
*+    TEST 1      Reconstruct matrix from factors and compute
*                 residual.
*
                     CALL ssyt01_3( uplo, n, a, lda, afac, lda, e,
     $                              iwork, ainv, lda, rwork,
     $                              result( 1 ) )
*
*+    TEST 2      Compute residual of the computed solution.
*
                     CALL slacpy( 'Full', n, nrhs, b, lda, work, lda )
                     CALL spot02( uplo, n, nrhs, a, lda, x, lda, work,
     $                            lda, rwork, result( 2 ) )
*
*+    TEST 3
*                 Check solution from generated exact solution.
*
                     CALL sget04( n, nrhs, x, lda, xact, lda, rcondc,
     $                            result( 3 ) )
                     nt = 3
*
*                    Print information about the tests that did not pass
*                    the threshold.
*
                     DO 110 k = 1, nt
                        IF( result( k ).GE.thresh ) THEN
                           IF( nfail.EQ.0 .AND. nerrs.EQ.0 )
     $                        CALL aladhd( nout, path )
                           WRITE( nout, fmt = 9999 )'SSYSV_RK', uplo,
     $                           n, imat, k, result( k )
                           nfail = nfail + 1
                        END IF
  110                CONTINUE
                     nrun = nrun + nt
  120                CONTINUE
                  END IF
*
  150          CONTINUE
*
  160       CONTINUE
  170    CONTINUE
  180 CONTINUE
*
*     Print a summary of the results.
*
      CALL alasvm( path, nout, nfail, nrun, nerrs )
*
 9999 FORMAT( 1x, a, ', UPLO=''', a1, ''', N =', i5, ', type ', i2,
     $      ', test ', i2, ', ratio =', g12.5 )
      RETURN
*
*     End of SDRVSY_RK
*
      END