sglmts.f
来自「famous linear algebra library (LAPACK) p」· F 代码 · 共 142 行
F
142 行
SUBROUTINE SGLMTS( N, M, P, A, AF, LDA, B, BF, LDB, D, DF,
$ X, U, WORK, LWORK, RWORK, RESULT )
*
* -- LAPACK test routine (version 3.1) --
* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd..
* November 2006
*
* .. Scalar Arguments ..
INTEGER LDA, LDB, LWORK, M, P, N
REAL RESULT
* ..
* .. Array Arguments ..
REAL A( LDA, * ), AF( LDA, * ), B( LDB, * ),
$ BF( LDB, * ), RWORK( * ), D( * ), DF( * ),
$ U( * ), WORK( LWORK ), X( * )
*
* Purpose
* =======
*
* SGLMTS tests SGGGLM - a subroutine for solving the generalized
* linear model problem.
*
* Arguments
* =========
*
* N (input) INTEGER
* The number of rows of the matrices A and B. N >= 0.
*
* M (input) INTEGER
* The number of columns of the matrix A. M >= 0.
*
* P (input) INTEGER
* The number of columns of the matrix B. P >= 0.
*
* A (input) REAL array, dimension (LDA,M)
* The N-by-M matrix A.
*
* AF (workspace) REAL array, dimension (LDA,M)
*
* LDA (input) INTEGER
* The leading dimension of the arrays A, AF. LDA >= max(M,N).
*
* B (input) REAL array, dimension (LDB,P)
* The N-by-P matrix A.
*
* BF (workspace) REAL array, dimension (LDB,P)
*
* LDB (input) INTEGER
* The leading dimension of the arrays B, BF. LDB >= max(P,N).
*
* D (input) REAL array, dimension( N )
* On input, the left hand side of the GLM.
*
* DF (workspace) REAL array, dimension( N )
*
* X (output) REAL array, dimension( M )
* solution vector X in the GLM problem.
*
* U (output) REAL array, dimension( P )
* solution vector U in the GLM problem.
*
* WORK (workspace) REAL array, dimension (LWORK)
*
* LWORK (input) INTEGER
* The dimension of the array WORK.
*
* RWORK (workspace) REAL array, dimension (M)
*
* RESULT (output) REAL
* The test ratio:
* norm( d - A*x - B*u )
* RESULT = -----------------------------------------
* (norm(A)+norm(B))*(norm(x)+norm(u))*EPS
*
* ====================================================================
*
* .. Parameters ..
REAL ZERO, ONE
PARAMETER ( ZERO = 0.0E+0, ONE = 1.0E+0 )
* ..
* .. Local Scalars ..
INTEGER INFO
REAL ANORM, BNORM, EPS, XNORM, YNORM, DNORM, UNFL
* ..
* .. External Functions ..
REAL SASUM, SLAMCH, SLANGE
EXTERNAL SASUM, SLAMCH, SLANGE
* ..
* .. External Subroutines ..
EXTERNAL SLACPY
*
* .. Intrinsic Functions ..
INTRINSIC MAX
* ..
* .. Executable Statements ..
*
EPS = SLAMCH( 'Epsilon' )
UNFL = SLAMCH( 'Safe minimum' )
ANORM = MAX( SLANGE( '1', N, M, A, LDA, RWORK ), UNFL )
BNORM = MAX( SLANGE( '1', N, P, B, LDB, RWORK ), UNFL )
*
* Copy the matrices A and B to the arrays AF and BF,
* and the vector D the array DF.
*
CALL SLACPY( 'Full', N, M, A, LDA, AF, LDA )
CALL SLACPY( 'Full', N, P, B, LDB, BF, LDB )
CALL SCOPY( N, D, 1, DF, 1 )
*
* Solve GLM problem
*
CALL SGGGLM( N, M, P, AF, LDA, BF, LDB, DF, X, U, WORK, LWORK,
$ INFO )
*
* Test the residual for the solution of LSE
*
* norm( d - A*x - B*u )
* RESULT = -----------------------------------------
* (norm(A)+norm(B))*(norm(x)+norm(u))*EPS
*
CALL SCOPY( N, D, 1, DF, 1 )
CALL SGEMV( 'No transpose', N, M, -ONE, A, LDA, X, 1,
$ ONE, DF, 1 )
*
CALL SGEMV( 'No transpose', N, P, -ONE, B, LDB, U, 1,
$ ONE, DF, 1 )
*
DNORM = SASUM( N, DF, 1 )
XNORM = SASUM( M, X, 1 ) + SASUM( P, U, 1 )
YNORM = ANORM + BNORM
*
IF( XNORM.LE.ZERO ) THEN
RESULT = ZERO
ELSE
RESULT = ( ( DNORM / YNORM ) / XNORM ) /EPS
END IF
*
RETURN
*
* End of SGLMTS
*
END
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