slarhs.f

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*> \brief \b SLARHS
*
*  =========== DOCUMENTATION ===========
*
* Online html documentation available at
*            http://www.netlib.org/lapack/explore-html/
*
*  Definition:
*  ===========
*
*       SUBROUTINE SLARHS( PATH, XTYPE, UPLO, TRANS, M, N, KL, KU, NRHS,
*                          A, LDA, X, LDX, B, LDB, ISEED, INFO )
*
*       .. Scalar Arguments ..
*       CHARACTER          TRANS, UPLO, XTYPE
*       CHARACTER*3        PATH
*       INTEGER            INFO, KL, KU, LDA, LDB, LDX, M, N, NRHS
*       ..
*       .. Array Arguments ..
*       INTEGER            ISEED( 4 )
*       REAL               A( LDA, * ), B( LDB, * ), X( LDX, * )
*       ..
*
*
*> \par Purpose:
*  =============
*>
*> \verbatim
*>
*> SLARHS chooses a set of NRHS random solution vectors and sets
*> up the right hand sides for the linear system
*>    op(A) * X = B,
*> where op(A) = A or A**T, depending on TRANS.
*> \endverbatim
*
*  Arguments:
*  ==========
*
*> \param[in] PATH
*> \verbatim
*>          PATH is CHARACTER*3
*>          The type of the real matrix A.  PATH may be given in any
*>          combination of upper and lower case.  Valid types include
*>             xGE:  General m x n matrix
*>             xGB:  General banded matrix
*>             xPO:  Symmetric positive definite, 2-D storage
*>             xPP:  Symmetric positive definite packed
*>             xPB:  Symmetric positive definite banded
*>             xSY:  Symmetric indefinite, 2-D storage
*>             xSP:  Symmetric indefinite packed
*>             xSB:  Symmetric indefinite banded
*>             xTR:  Triangular
*>             xTP:  Triangular packed
*>             xTB:  Triangular banded
*>             xQR:  General m x n matrix
*>             xLQ:  General m x n matrix
*>             xQL:  General m x n matrix
*>             xRQ:  General m x n matrix
*>          where the leading character indicates the precision.
*> \endverbatim
*>
*> \param[in] XTYPE
*> \verbatim
*>          XTYPE is CHARACTER*1
*>          Specifies how the exact solution X will be determined:
*>          = 'N':  New solution; generate a random X.
*>          = 'C':  Computed; use value of X on entry.
*> \endverbatim
*>
*> \param[in] UPLO
*> \verbatim
*>          UPLO is CHARACTER*1
*>          Specifies whether the upper or lower triangular part of the
*>          matrix A is stored, if A is symmetric.
*>          = 'U':  Upper triangular
*>          = 'L':  Lower triangular
*> \endverbatim
*>
*> \param[in] TRANS
*> \verbatim
*>          TRANS is CHARACTER*1
*>          Used only if A is nonsymmetric; specifies the operation
*>          applied to the matrix A.
*>          = 'N':  B := A    * X  (No transpose)
*>          = 'T':  B := A**T * X  (Transpose)
*>          = 'C':  B := A**H * X  (Conjugate transpose = Transpose)
*> \endverbatim
*>
*> \param[in] M
*> \verbatim
*>          M is INTEGER
*>          The number or rows of the matrix A.  M >= 0.
*> \endverbatim
*>
*> \param[in] N
*> \verbatim
*>          N is INTEGER
*>          The number of columns of the matrix A.  N >= 0.
*> \endverbatim
*>
*> \param[in] KL
*> \verbatim
*>          KL is INTEGER
*>          Used only if A is a band matrix; specifies the number of
*>          subdiagonals of A if A is a general band matrix or if A is
*>          symmetric or triangular and UPLO = 'L'; specifies the number
*>          of superdiagonals of A if A is symmetric or triangular and
*>          UPLO = 'U'.  0 <= KL <= M-1.
*> \endverbatim
*>
*> \param[in] KU
*> \verbatim
*>          KU is INTEGER
*>          Used only if A is a general band matrix or if A is
*>          triangular.
*>
*>          If PATH = xGB, specifies the number of superdiagonals of A,
*>          and 0 <= KU <= N-1.
*>
*>          If PATH = xTR, xTP, or xTB, specifies whether or not the
*>          matrix has unit diagonal:
*>          = 1:  matrix has non-unit diagonal (default)
*>          = 2:  matrix has unit diagonal
*> \endverbatim
*>
*> \param[in] NRHS
*> \verbatim
*>          NRHS is INTEGER
*>          The number of right hand side vectors in the system A*X = B.
*> \endverbatim
*>
*> \param[in] A
*> \verbatim
*>          A is REAL array, dimension (LDA,N)
*>          The test matrix whose type is given by PATH.
*> \endverbatim
*>
*> \param[in] LDA
*> \verbatim
*>          LDA is INTEGER
*>          The leading dimension of the array A.
*>          If PATH = xGB, LDA >= KL+KU+1.
*>          If PATH = xPB, xSB, xHB, or xTB, LDA >= KL+1.
*>          Otherwise, LDA >= max(1,M).
*> \endverbatim
*>
*> \param[in,out] X
*> \verbatim
*>          X is or output) REAL array, dimension(LDX,NRHS)
*>          On entry, if XTYPE = 'C' (for 'Computed'), then X contains
*>          the exact solution to the system of linear equations.
*>          On exit, if XTYPE = 'N' (for 'New'), then X is initialized
*>          with random values.
*> \endverbatim
*>
*> \param[in] LDX
*> \verbatim
*>          LDX is INTEGER
*>          The leading dimension of the array X.  If TRANS = 'N',
*>          LDX >= max(1,N); if TRANS = 'T', LDX >= max(1,M).
*> \endverbatim
*>
*> \param[out] B
*> \verbatim
*>          B is REAL array, dimension (LDB,NRHS)
*>          The right hand side vector(s) for the system of equations,
*>          computed from B = op(A) * X, where op(A) is determined by
*>          TRANS.
*> \endverbatim
*>
*> \param[in] LDB
*> \verbatim
*>          LDB is INTEGER
*>          The leading dimension of the array B.  If TRANS = 'N',
*>          LDB >= max(1,M); if TRANS = 'T', LDB >= max(1,N).
*> \endverbatim
*>
*> \param[in,out] ISEED
*> \verbatim
*>          ISEED is INTEGER array, dimension (4)
*>          The seed vector for the random number generator (used in
*>          SLATMS).  Modified on exit.
*> \endverbatim
*>
*> \param[out] INFO
*> \verbatim
*>          INFO is INTEGER
*>          = 0: successful exit
*>          < 0: if INFO = -i, the i-th argument had an illegal value
*> \endverbatim
*
*  Authors:
*  ========
*
*> \author Univ. of Tennessee
*> \author Univ. of California Berkeley
*> \author Univ. of Colorado Denver
*> \author NAG Ltd.
*
*> \ingroup single_eig
*
*  =====================================================================
      SUBROUTINE slarhs( PATH, XTYPE, UPLO, TRANS, M, N, KL, KU, NRHS,
     $                   A, LDA, X, LDX, B, LDB, ISEED, INFO )
*
*  -- 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 ..
      CHARACTER          TRANS, UPLO, XTYPE
      CHARACTER*3        PATH
      INTEGER            INFO, KL, KU, LDA, LDB, LDX, M, N, NRHS
*     ..
*     .. Array Arguments ..
      INTEGER            ISEED( 4 )
      REAL               A( LDA, * ), B( LDB, * ), X( LDX, * )
*     ..
*
*  =====================================================================
*
*     .. Parameters ..
      REAL               ONE, ZERO
      parameter( one = 1.0e+0, zero = 0.0e+0 )
*     ..
*     .. Local Scalars ..
      LOGICAL            BAND, GEN, NOTRAN, QRS, SYM, TRAN, TRI
      CHARACTER          C1, DIAG
      CHARACTER*2        C2
      INTEGER            J, MB, NX
*     ..
*     .. External Functions ..
      LOGICAL            LSAME, LSAMEN
      EXTERNAL           lsame, lsamen
*     ..
*     .. External Subroutines ..
      EXTERNAL           sgbmv, sgemm, slacpy, slarnv, ssbmv, sspmv,
     $                   ssymm, stbmv, stpmv, strmm, xerbla
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          max
*     ..
*     .. Executable Statements ..
*
*     Test the input parameters.
*
      info = 0
      c1 = path( 1: 1 )
      c2 = path( 2: 3 )
      tran = lsame( trans, 'T' ) .OR. lsame( trans, 'C' )
      notran = .NOT.tran
      gen = lsame( path( 2: 2 ), 'G' )
      qrs = lsame( path( 2: 2 ), 'Q' ) .OR. lsame( path( 3: 3 ), 'Q' )
      sym = lsame( path( 2: 2 ), 'P' ) .OR. lsame( path( 2: 2 ), 'S' )
      tri = lsame( path( 2: 2 ), 'T' )
      band = lsame( path( 3: 3 ), 'B' )
      IF( .NOT.lsame( c1, 'Single precision' ) ) THEN
         info = -1
      ELSE IF( .NOT.( lsame( xtype, 'N' ) .OR. lsame( xtype, 'C' ) ) )
     $          THEN
         info = -2
      ELSE IF( ( sym .OR. tri ) .AND. .NOT.
     $         ( lsame( uplo, 'u.OR.' )  LSAME( UPLO, 'l' ) ) ) THEN
         INFO = -3
.OR..AND..NOT.      ELSE IF( ( GEN  QRS )  
.OR.     $         ( TRAN  LSAME( TRANS, 'n' ) ) ) THEN
         INFO = -4
.LT.      ELSE IF( M0 ) THEN
         INFO = -5
.LT.      ELSE IF( N0 ) THEN
         INFO = -6
.AND..LT.      ELSE IF( BAND  KL0 ) THEN
         INFO = -7
.AND..LT.      ELSE IF( BAND  KU0 ) THEN
         INFO = -8
.LT.      ELSE IF( NRHS0 ) THEN
         INFO = -9
.NOT..AND..LT..OR.      ELSE IF( ( BAND  LDAMAX( 1, M ) ) 
.AND..OR..AND..LT..OR.     $         ( BAND  ( SYM  TRI )  LDAKL+1 ) 
.AND..AND..LT.     $         ( BAND  GEN  LDAKL+KU+1 ) ) THEN
         INFO = -11
.AND..LT..OR.      ELSE IF( ( NOTRAN  LDXMAX( 1, N ) ) 
.AND..LT.     $         ( TRAN  LDXMAX( 1, M ) ) ) THEN
         INFO = -13
.AND..LT..OR.      ELSE IF( ( NOTRAN  LDBMAX( 1, M ) ) 
.AND..LT.     $         ( TRAN  LDBMAX( 1, N ) ) ) THEN
         INFO = -15
      END IF
.NE.      IF( INFO0 ) THEN
         CALL XERBLA( 'slarhs', -INFO )
         RETURN
      END IF
*
*     Initialize X to NRHS random vectors unless XTYPE = 'C'.
*
      IF( TRAN ) THEN
         NX = M
         MB = N
      ELSE
         NX = N
         MB = M
      END IF
.NOT.      IF( LSAME( XTYPE, 'c' ) ) THEN
         DO 10 J = 1, NRHS
            CALL SLARNV( 2, ISEED, N, X( 1, J ) )
   10    CONTINUE
      END IF
*
*     Multiply X by op(A) using an appropriate
*     matrix multiply routine.
*
      IF( LSAMEN( 2, C2, 'ge.OR.' )  LSAMEN( 2, C2, 'qr.OR.' ) 
     $    LSAMEN( 2, C2, 'lq.OR.' )  LSAMEN( 2, C2, 'ql.OR.' ) 
     $    LSAMEN( 2, C2, 'rq' ) ) THEN
*
*        General matrix
*
         CALL SGEMM( TRANS, 'n', MB, NRHS, NX, ONE, A, LDA, X, LDX,
     $               ZERO, B, LDB )
*
      ELSE IF( LSAMEN( 2, C2, 'po.OR.' )  LSAMEN( 2, C2, 'sy' ) ) THEN
*
*        Symmetric matrix, 2-D storage
*
         CALL SSYMM( 'left', UPLO, N, NRHS, ONE, A, LDA, X, LDX, ZERO,
     $               B, LDB )
*
      ELSE IF( LSAMEN( 2, C2, 'gb' ) ) THEN
*
*        General matrix, band storage
*
         DO 20 J = 1, NRHS
            CALL SGBMV( TRANS, MB, NX, KL, KU, ONE, A, LDA, X( 1, J ),
     $                  1, ZERO, B( 1, J ), 1 )
   20    CONTINUE
*
      ELSE IF( LSAMEN( 2, C2, 'pb' ) ) THEN
*
*        Symmetric matrix, band storage
*
         DO 30 J = 1, NRHS
            CALL SSBMV( UPLO, N, KL, ONE, A, LDA, X( 1, J ), 1, ZERO,
     $                  B( 1, J ), 1 )
   30    CONTINUE
*
      ELSE IF( LSAMEN( 2, C2, 'pp.OR.' )  LSAMEN( 2, C2, 'sp' ) ) THEN
*
*        Symmetric matrix, packed storage
*
         DO 40 J = 1, NRHS
            CALL SSPMV( UPLO, N, ONE, A, X( 1, J ), 1, ZERO, B( 1, J ),
     $                  1 )
   40    CONTINUE
*
      ELSE IF( LSAMEN( 2, C2, 'tr' ) ) THEN
*
*        Triangular matrix.  Note that for triangular matrices,
*           KU = 1 => non-unit triangular
*           KU = 2 => unit triangular
*
         CALL SLACPY( 'full', N, NRHS, X, LDX, B, LDB )
.EQ.         IF( KU2 ) THEN
            DIAG = 'u'
         ELSE
            DIAG = 'n'
         END IF
         CALL STRMM( 'left', UPLO, TRANS, DIAG, N, NRHS, ONE, A, LDA, B,
     $               LDB )
*
      ELSE IF( LSAMEN( 2, C2, 'tp' ) ) THEN
*
*        Triangular matrix, packed storage
*
         CALL SLACPY( 'full', N, NRHS, X, LDX, B, LDB )
.EQ.         IF( KU2 ) THEN
            DIAG = 'u'
         ELSE
            DIAG = 'n'
         END IF
         DO 50 J = 1, NRHS
            CALL STPMV( UPLO, TRANS, DIAG, N, A, B( 1, J ), 1 )
   50    CONTINUE
*
      ELSE IF( LSAMEN( 2, C2, 'tb' ) ) THEN
*
*        Triangular matrix, banded storage
*
         CALL SLACPY( 'full', N, NRHS, X, LDX, B, LDB )
.EQ.         IF( KU2 ) THEN
            DIAG = 'u'
         ELSE
            DIAG = 'n'
         END IF
         DO 60 J = 1, NRHS
            CALL STBMV( UPLO, TRANS, DIAG, N, KL, A, LDA, B( 1, J ), 1 )
   60    CONTINUE
*
      ELSE
*
*        If PATH is none of the above, return with an error code.
*
         INFO = -1
         CALL XERBLA( 'slarhs', -INFO )
      END IF
*
      RETURN
*
*     End of SLARHS
*
      END