numeric-linalg
Educational material on the SciPy implementation of numerical linear algebra algorithms
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lapack/SRC/zla_geamv.f | 12472B | -rw-r--r-- |
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*> \brief \b ZLA_GEAMV computes a matrix-vector product using a general matrix to calculate error bounds. * * =========== DOCUMENTATION =========== * * Online html documentation available at * http://www.netlib.org/lapack/explore-html/ * *> \htmlonly *> Download ZLA_GEAMV + dependencies *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/zla_geamv.f"> *> [TGZ]</a> *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/zla_geamv.f"> *> [ZIP]</a> *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/zla_geamv.f"> *> [TXT]</a> *> \endhtmlonly * * Definition: * =========== * * SUBROUTINE ZLA_GEAMV( TRANS, M, N, ALPHA, A, LDA, X, INCX, BETA, * Y, INCY ) * * .. Scalar Arguments .. * DOUBLE PRECISION ALPHA, BETA * INTEGER INCX, INCY, LDA, M, N * INTEGER TRANS * .. * .. Array Arguments .. * COMPLEX*16 A( LDA, * ), X( * ) * DOUBLE PRECISION Y( * ) * .. * * *> \par Purpose: * ============= *> *> \verbatim *> *> ZLA_GEAMV performs one of the matrix-vector operations *> *> y := alpha*abs(A)*abs(x) + beta*abs(y), *> or y := alpha*abs(A)**T*abs(x) + beta*abs(y), *> *> where alpha and beta are scalars, x and y are vectors and A is an *> m by n matrix. *> *> This function is primarily used in calculating error bounds. *> To protect against underflow during evaluation, components in *> the resulting vector are perturbed away from zero by (N+1) *> times the underflow threshold. To prevent unnecessarily large *> errors for block-structure embedded in general matrices, *> "symbolically" zero components are not perturbed. A zero *> entry is considered "symbolic" if all multiplications involved *> in computing that entry have at least one zero multiplicand. *> \endverbatim * * Arguments: * ========== * *> \param[in] TRANS *> \verbatim *> TRANS is INTEGER *> On entry, TRANS specifies the operation to be performed as *> follows: *> *> BLAS_NO_TRANS y := alpha*abs(A)*abs(x) + beta*abs(y) *> BLAS_TRANS y := alpha*abs(A**T)*abs(x) + beta*abs(y) *> BLAS_CONJ_TRANS y := alpha*abs(A**T)*abs(x) + beta*abs(y) *> *> Unchanged on exit. *> \endverbatim *> *> \param[in] M *> \verbatim *> M is INTEGER *> On entry, M specifies the number of rows of the matrix A. *> M must be at least zero. *> Unchanged on exit. *> \endverbatim *> *> \param[in] N *> \verbatim *> N is INTEGER *> On entry, N specifies the number of columns of the matrix A. *> N must be at least zero. *> Unchanged on exit. *> \endverbatim *> *> \param[in] ALPHA *> \verbatim *> ALPHA is DOUBLE PRECISION *> On entry, ALPHA specifies the scalar alpha. *> Unchanged on exit. *> \endverbatim *> *> \param[in] A *> \verbatim *> A is COMPLEX*16 array, dimension ( LDA, n ) *> Before entry, the leading m by n part of the array A must *> contain the matrix of coefficients. *> Unchanged on exit. *> \endverbatim *> *> \param[in] LDA *> \verbatim *> LDA is INTEGER *> On entry, LDA specifies the first dimension of A as declared *> in the calling (sub) program. LDA must be at least *> max( 1, m ). *> Unchanged on exit. *> \endverbatim *> *> \param[in] X *> \verbatim *> X is COMPLEX*16 array, dimension at least *> ( 1 + ( n - 1 )*abs( INCX ) ) when TRANS = 'N' or 'n' *> and at least *> ( 1 + ( m - 1 )*abs( INCX ) ) otherwise. *> Before entry, the incremented array X must contain the *> vector x. *> Unchanged on exit. *> \endverbatim *> *> \param[in] INCX *> \verbatim *> INCX is INTEGER *> On entry, INCX specifies the increment for the elements of *> X. INCX must not be zero. *> Unchanged on exit. *> \endverbatim *> *> \param[in] BETA *> \verbatim *> BETA is DOUBLE PRECISION *> On entry, BETA specifies the scalar beta. When BETA is *> supplied as zero then Y need not be set on input. *> Unchanged on exit. *> \endverbatim *> *> \param[in,out] Y *> \verbatim *> Y is DOUBLE PRECISION array, dimension *> ( 1 + ( m - 1 )*abs( INCY ) ) when TRANS = 'N' or 'n' *> and at least *> ( 1 + ( n - 1 )*abs( INCY ) ) otherwise. *> Before entry with BETA non-zero, the incremented array Y *> must contain the vector y. On exit, Y is overwritten by the *> updated vector y. *> If either m or n is zero, then Y not referenced and the function *> performs a quick return. *> \endverbatim *> *> \param[in] INCY *> \verbatim *> INCY is INTEGER *> On entry, INCY specifies the increment for the elements of *> Y. INCY must not be zero. *> Unchanged on exit. *> *> Level 2 Blas routine. *> \endverbatim * * Authors: * ======== * *> \author Univ. of Tennessee *> \author Univ. of California Berkeley *> \author Univ. of Colorado Denver *> \author NAG Ltd. * *> \ingroup la_geamv * * ===================================================================== SUBROUTINE ZLA_GEAMV( TRANS, M, N, ALPHA, A, LDA, X, INCX, $ BETA, $ Y, INCY ) * * -- LAPACK computational routine -- * -- LAPACK is a software package provided by Univ. of Tennessee, -- * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..-- * * .. Scalar Arguments .. DOUBLE PRECISION ALPHA, BETA INTEGER INCX, INCY, LDA, M, N INTEGER TRANS * .. * .. Array Arguments .. COMPLEX*16 A( LDA, * ), X( * ) DOUBLE PRECISION Y( * ) * .. * * ===================================================================== * * .. Parameters .. COMPLEX*16 ONE, ZERO PARAMETER ( ONE = 1.0D+0, ZERO = 0.0D+0 ) * .. * .. Local Scalars .. LOGICAL SYMB_ZERO DOUBLE PRECISION TEMP, SAFE1 INTEGER I, INFO, IY, J, JX, KX, KY, LENX, LENY COMPLEX*16 CDUM * .. * .. External Subroutines .. EXTERNAL XERBLA, DLAMCH DOUBLE PRECISION DLAMCH * .. * .. External Functions .. EXTERNAL ILATRANS INTEGER ILATRANS * .. * .. Intrinsic Functions .. INTRINSIC MAX, ABS, REAL, DIMAG, SIGN * .. * .. Statement Functions .. DOUBLE PRECISION CABS1 * .. * .. Statement Function Definitions .. CABS1( CDUM ) = ABS( DBLE( CDUM ) ) + ABS( DIMAG( CDUM ) ) * .. * .. Executable Statements .. * * Test the input parameters. * INFO = 0 IF ( .NOT.( ( TRANS.EQ.ILATRANS( 'N' ) ) $ .OR. ( TRANS.EQ.ILATRANS( 'T' ) ) $ .OR. ( TRANS.EQ.ILATRANS( 'C' ) ) ) ) THEN INFO = 1 ELSE IF( M.LT.0 )THEN INFO = 2 ELSE IF( N.LT.0 )THEN INFO = 3 ELSE IF( LDA.LT.MAX( 1, M ) )THEN INFO = 6 ELSE IF( INCX.EQ.0 )THEN INFO = 8 ELSE IF( INCY.EQ.0 )THEN INFO = 11 END IF IF( INFO.NE.0 )THEN CALL XERBLA( 'ZLA_GEAMV ', INFO ) RETURN END IF * * Quick return if possible. * IF( ( M.EQ.0 ).OR.( N.EQ.0 ).OR. $ ( ( ALPHA.EQ.ZERO ).AND.( BETA.EQ.ONE ) ) ) $ RETURN * * Set LENX and LENY, the lengths of the vectors x and y, and set * up the start points in X and Y. * IF( TRANS.EQ.ILATRANS( 'N' ) )THEN LENX = N LENY = M ELSE LENX = M LENY = N END IF IF( INCX.GT.0 )THEN KX = 1 ELSE KX = 1 - ( LENX - 1 )*INCX END IF IF( INCY.GT.0 )THEN KY = 1 ELSE KY = 1 - ( LENY - 1 )*INCY END IF * * Set SAFE1 essentially to be the underflow threshold times the * number of additions in each row. * SAFE1 = DLAMCH( 'Safe minimum' ) SAFE1 = (N+1)*SAFE1 * * Form y := alpha*abs(A)*abs(x) + beta*abs(y). * * The O(M*N) SYMB_ZERO tests could be replaced by O(N) queries to * the inexact flag. Still doesn't help change the iteration order * to per-column. * IY = KY IF ( INCX.EQ.1 ) THEN IF( TRANS.EQ.ILATRANS( 'N' ) )THEN DO I = 1, LENY IF ( BETA .EQ. 0.0D+0 ) THEN SYMB_ZERO = .TRUE. Y( IY ) = 0.0D+0 ELSE IF ( Y( IY ) .EQ. 0.0D+0 ) THEN SYMB_ZERO = .TRUE. ELSE SYMB_ZERO = .FALSE. Y( IY ) = BETA * ABS( Y( IY ) ) END IF IF ( ALPHA .NE. 0.0D+0 ) THEN DO J = 1, LENX TEMP = CABS1( A( I, J ) ) SYMB_ZERO = SYMB_ZERO .AND. $ ( X( J ) .EQ. ZERO .OR. TEMP .EQ. ZERO ) Y( IY ) = Y( IY ) + ALPHA*CABS1( X( J ) )*TEMP END DO END IF IF ( .NOT.SYMB_ZERO ) Y( IY ) = $ Y( IY ) + SIGN( SAFE1, Y( IY ) ) IY = IY + INCY END DO ELSE DO I = 1, LENY IF ( BETA .EQ. 0.0D+0 ) THEN SYMB_ZERO = .TRUE. Y( IY ) = 0.0D+0 ELSE IF ( Y( IY ) .EQ. 0.0D+0 ) THEN SYMB_ZERO = .TRUE. ELSE SYMB_ZERO = .FALSE. Y( IY ) = BETA * ABS( Y( IY ) ) END IF IF ( ALPHA .NE. 0.0D+0 ) THEN DO J = 1, LENX TEMP = CABS1( A( J, I ) ) SYMB_ZERO = SYMB_ZERO .AND. $ ( X( J ) .EQ. ZERO .OR. TEMP .EQ. ZERO ) Y( IY ) = Y( IY ) + ALPHA*CABS1( X( J ) )*TEMP END DO END IF IF ( .NOT.SYMB_ZERO ) Y( IY ) = $ Y( IY ) + SIGN( SAFE1, Y( IY ) ) IY = IY + INCY END DO END IF ELSE IF( TRANS.EQ.ILATRANS( 'N' ) )THEN DO I = 1, LENY IF ( BETA .EQ. 0.0D+0 ) THEN SYMB_ZERO = .TRUE. Y( IY ) = 0.0D+0 ELSE IF ( Y( IY ) .EQ. 0.0D+0 ) THEN SYMB_ZERO = .TRUE. ELSE SYMB_ZERO = .FALSE. Y( IY ) = BETA * ABS( Y( IY ) ) END IF IF ( ALPHA .NE. 0.0D+0 ) THEN JX = KX DO J = 1, LENX TEMP = CABS1( A( I, J ) ) SYMB_ZERO = SYMB_ZERO .AND. $ ( X( JX ) .EQ. ZERO .OR. TEMP .EQ. ZERO ) Y( IY ) = Y( IY ) + ALPHA*CABS1( X( JX ) )*TEMP JX = JX + INCX END DO END IF IF ( .NOT.SYMB_ZERO ) Y( IY ) = $ Y( IY ) + SIGN( SAFE1, Y( IY ) ) IY = IY + INCY END DO ELSE DO I = 1, LENY IF ( BETA .EQ. 0.0D+0 ) THEN SYMB_ZERO = .TRUE. Y( IY ) = 0.0D+0 ELSE IF ( Y( IY ) .EQ. 0.0D+0 ) THEN SYMB_ZERO = .TRUE. ELSE SYMB_ZERO = .FALSE. Y( IY ) = BETA * ABS( Y( IY ) ) END IF IF ( ALPHA .NE. 0.0D+0 ) THEN JX = KX DO J = 1, LENX TEMP = CABS1( A( J, I ) ) SYMB_ZERO = SYMB_ZERO .AND. $ ( X( JX ) .EQ. ZERO .OR. TEMP .EQ. ZERO ) Y( IY ) = Y( IY ) + ALPHA*CABS1( X( JX ) )*TEMP JX = JX + INCX END DO END IF IF ( .NOT.SYMB_ZERO ) Y( IY ) = $ Y( IY ) + SIGN( SAFE1, Y( IY ) ) IY = IY + INCY END DO END IF END IF * RETURN * * End of ZLA_GEAMV * END