dla_syamv.f(3)

NAME
dla_syamv.f -

SYNOPSIS

  Functions/Subroutines
subroutine dla_syamv (UPLO, N, ALPHA, A, LDA, X, INCX, BETA, Y, INCY)
DLA_SYAMV computes a matrix-vector product using a symmetric indefinite matrix to calculate error bounds.

Function/Subroutine Documentation

  subroutine dla_syamv (integerUPLO, integerN, double precisionALPHA, double precision, dimension( lda, * )A, integerLDA, double precision, dimension( * )X, integerINCX, double precisionBETA, double precision, dimension( * )Y, integerINCY)

DLA_SYAMV computes a matrix-vector product using a symmetric indefinite matrix to calculate error bounds.

Purpose:

     DLA_SYAMV  performs the matrix-vector operation
             y := alpha*abs(A)*abs(x) + beta*abs(y),
     where alpha and beta are scalars, x and y are vectors and A is an
     n by n symmetric 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.

Parameters:
    UPLO

              UPLO is INTEGER
               On entry, UPLO specifies whether the upper or lower
               triangular part of the array A is to be referenced as
               follows:
                  UPLO = BLAS_UPPER   Only the upper triangular part of A
                                      is to be referenced.
                  UPLO = BLAS_LOWER   Only the lower triangular part of A
                                      is to be referenced.
               Unchanged on exit.

    N

              N is INTEGER
               On entry, N specifies the number of columns of the matrix A.
               N must be at least zero.
               Unchanged on exit.

    ALPHA

              ALPHA is DOUBLE PRECISION .
               On entry, ALPHA specifies the scalar alpha.
               Unchanged on exit.

    A

              A is DOUBLE PRECISION array of DIMENSION ( LDA, n ).
               Before entry, the leading m by n part of the array A must
               contain the matrix of coefficients.
               Unchanged on exit.

    LDA

              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, n ).
               Unchanged on exit.

    X

              X is DOUBLE PRECISION array, dimension
               ( 1 + ( n - 1 )*abs( INCX ) )
               Before entry, the incremented array X must contain the
               vector x.
               Unchanged on exit.

    INCX

              INCX is INTEGER
               On entry, INCX specifies the increment for the elements of
               X. INCX must not be zero.
               Unchanged on exit.

    BETA

              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.

    Y

              Y is DOUBLE PRECISION array, dimension
               ( 1 + ( n - 1 )*abs( INCY ) )
               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.

    INCY

              INCY is INTEGER
               On entry, INCY specifies the increment for the elements of
               Y. INCY must not be zero.
               Unchanged on exit.

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    September 2012

Further Details:

      Level 2 Blas routine.
      -- Written on 22-October-1986.
         Jack Dongarra, Argonne National Lab.
         Jeremy Du Croz, Nag Central Office.
         Sven Hammarling, Nag Central Office.
         Richard Hanson, Sandia National Labs.
      -- Modified for the absolute-value product, April 2006
         Jason Riedy, UC Berkeley

Definition at line 177 of file dla_syamv.f.

Author

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