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SUBROUTINE DLA_GEAMV ( TRANS, M, N, ALPHA, A, LDA, X, INCX, BETA,
$ Y, INCY )
*
* -- LAPACK routine (version 3.2.2) --
* -- Contributed by James Demmel, Deaglan Halligan, Yozo Hida and --
* -- Jason Riedy of Univ. of California Berkeley. --
* -- June 2010 --
*
* -- LAPACK is a software package provided by Univ. of Tennessee, --
* -- Univ. of California Berkeley and NAG Ltd. --
*
IMPLICIT NONE
* ..
* .. Scalar Arguments ..
DOUBLE PRECISION ALPHA, BETA
INTEGER INCX, INCY, LDA, M, N, TRANS
* ..
* .. Array Arguments ..
DOUBLE PRECISION A( LDA, * ), X( * ), Y( * )
* ..
*
* Purpose
* =======
*
* DLA_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.
*
* Arguments
* ==========
*
* TRANS (input) 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.
*
* M (input) INTEGER
* On entry, M specifies the number of rows of the matrix A.
* M must be at least zero.
* Unchanged on exit.
*
* N (input) INTEGER
* On entry, N specifies the number of columns of the matrix A.
* N must be at least zero.
* Unchanged on exit.
*
* ALPHA (input) DOUBLE PRECISION
* On entry, ALPHA specifies the scalar alpha.
* Unchanged on exit.
*
* A (input) 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 (input) 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.
*
* X (input) DOUBLE PRECISION array, dimension
* ( 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.
*
* INCX (input) INTEGER
* On entry, INCX specifies the increment for the elements of
* X. INCX must not be zero.
* Unchanged on exit.
*
* BETA (input) 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 (input/output) DOUBLE PRECISION
* Array of DIMENSION at least
* ( 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.
*
* INCY (input) INTEGER
* On entry, INCY specifies the increment for the elements of
* Y. INCY must not be zero.
* Unchanged on exit.
*
* Level 2 Blas routine.
*
* =====================================================================
*
* .. Parameters ..
DOUBLE PRECISION 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
* ..
* .. External Subroutines ..
EXTERNAL XERBLA, DLAMCH
DOUBLE PRECISION DLAMCH
* ..
* .. External Functions ..
EXTERNAL ILATRANS
INTEGER ILATRANS
* ..
* .. Intrinsic Functions ..
INTRINSIC MAX, ABS, SIGN
* ..
* .. 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( 'DLA_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. ZERO ) THEN
SYMB_ZERO = .TRUE.
Y( IY ) = 0.0D+0
ELSE IF ( Y( IY ) .EQ. ZERO ) THEN
SYMB_ZERO = .TRUE.
ELSE
SYMB_ZERO = .FALSE.
Y( IY ) = BETA * ABS( Y( IY ) )
END IF
IF ( ALPHA .NE. ZERO ) THEN
DO J = 1, LENX
TEMP = ABS( A( I, J ) )
SYMB_ZERO = SYMB_ZERO .AND.
$ ( X( J ) .EQ. ZERO .OR. TEMP .EQ. ZERO )
Y( IY ) = Y( IY ) + ALPHA*ABS( 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. ZERO ) THEN
SYMB_ZERO = .TRUE.
Y( IY ) = 0.0D+0
ELSE IF ( Y( IY ) .EQ. ZERO ) THEN
SYMB_ZERO = .TRUE.
ELSE
SYMB_ZERO = .FALSE.
Y( IY ) = BETA * ABS( Y( IY ) )
END IF
IF ( ALPHA .NE. ZERO ) THEN
DO J = 1, LENX
TEMP = ABS( A( J, I ) )
SYMB_ZERO = SYMB_ZERO .AND.
$ ( X( J ) .EQ. ZERO .OR. TEMP .EQ. ZERO )
Y( IY ) = Y( IY ) + ALPHA*ABS( 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. ZERO ) THEN
SYMB_ZERO = .TRUE.
Y( IY ) = 0.0D+0
ELSE IF ( Y( IY ) .EQ. ZERO ) THEN
SYMB_ZERO = .TRUE.
ELSE
SYMB_ZERO = .FALSE.
Y( IY ) = BETA * ABS( Y( IY ) )
END IF
IF ( ALPHA .NE. ZERO ) THEN
JX = KX
DO J = 1, LENX
TEMP = ABS( A( I, J ) )
SYMB_ZERO = SYMB_ZERO .AND.
$ ( X( JX ) .EQ. ZERO .OR. TEMP .EQ. ZERO )
Y( IY ) = Y( IY ) + ALPHA*ABS( 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. ZERO ) THEN
SYMB_ZERO = .TRUE.
Y( IY ) = 0.0D+0
ELSE IF ( Y( IY ) .EQ. ZERO ) THEN
SYMB_ZERO = .TRUE.
ELSE
SYMB_ZERO = .FALSE.
Y( IY ) = BETA * ABS( Y( IY ) )
END IF
IF ( ALPHA .NE. ZERO ) THEN
JX = KX
DO J = 1, LENX
TEMP = ABS( A( J, I ) )
SYMB_ZERO = SYMB_ZERO .AND.
$ ( X( JX ) .EQ. ZERO .OR. TEMP .EQ. ZERO )
Y( IY ) = Y( IY ) + ALPHA*ABS( 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 DLA_GEAMV
*
END
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