numeric-linalg
Educational material on the SciPy implementation of numerical linear algebra algorithms
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lapack/TESTING/LIN/dptt05.f | 7701B | -rw-r--r-- |
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*> \brief \b DPTT05 * * =========== DOCUMENTATION =========== * * Online html documentation available at * http://www.netlib.org/lapack/explore-html/ * * Definition: * =========== * * SUBROUTINE DPTT05( N, NRHS, D, E, B, LDB, X, LDX, XACT, LDXACT, * FERR, BERR, RESLTS ) * * .. Scalar Arguments .. * INTEGER LDB, LDX, LDXACT, N, NRHS * .. * .. Array Arguments .. * DOUBLE PRECISION B( LDB, * ), BERR( * ), D( * ), E( * ), * $ FERR( * ), RESLTS( * ), X( LDX, * ), * $ XACT( LDXACT, * ) * .. * * *> \par Purpose: * ============= *> *> \verbatim *> *> DPTT05 tests the error bounds from iterative refinement for the *> computed solution to a system of equations A*X = B, where A is a *> symmetric tridiagonal matrix of order n. *> *> RESLTS(1) = test of the error bound *> = norm(X - XACT) / ( norm(X) * FERR ) *> *> A large value is returned if this ratio is not less than one. *> *> RESLTS(2) = residual from the iterative refinement routine *> = the maximum of BERR / ( NZ*EPS + (*) ), where *> (*) = NZ*UNFL / (min_i (abs(A)*abs(X) +abs(b))_i ) *> and NZ = max. number of nonzeros in any row of A, plus 1 *> \endverbatim * * Arguments: * ========== * *> \param[in] N *> \verbatim *> N is INTEGER *> The number of rows of the matrices X, B, and XACT, and the *> order of the matrix A. N >= 0. *> \endverbatim *> *> \param[in] NRHS *> \verbatim *> NRHS is INTEGER *> The number of columns of the matrices X, B, and XACT. *> NRHS >= 0. *> \endverbatim *> *> \param[in] D *> \verbatim *> D is DOUBLE PRECISION array, dimension (N) *> The n diagonal elements of the tridiagonal matrix A. *> \endverbatim *> *> \param[in] E *> \verbatim *> E is DOUBLE PRECISION array, dimension (N-1) *> The (n-1) subdiagonal elements of the tridiagonal matrix A. *> \endverbatim *> *> \param[in] B *> \verbatim *> B is DOUBLE PRECISION array, dimension (LDB,NRHS) *> The right hand side vectors for the system of linear *> equations. *> \endverbatim *> *> \param[in] LDB *> \verbatim *> LDB is INTEGER *> The leading dimension of the array B. LDB >= max(1,N). *> \endverbatim *> *> \param[in] X *> \verbatim *> X is DOUBLE PRECISION array, dimension (LDX,NRHS) *> The computed solution vectors. Each vector is stored as a *> column of the matrix X. *> \endverbatim *> *> \param[in] LDX *> \verbatim *> LDX is INTEGER *> The leading dimension of the array X. LDX >= max(1,N). *> \endverbatim *> *> \param[in] XACT *> \verbatim *> XACT is DOUBLE PRECISION array, dimension (LDX,NRHS) *> The exact solution vectors. Each vector is stored as a *> column of the matrix XACT. *> \endverbatim *> *> \param[in] LDXACT *> \verbatim *> LDXACT is INTEGER *> The leading dimension of the array XACT. LDXACT >= max(1,N). *> \endverbatim *> *> \param[in] FERR *> \verbatim *> FERR is DOUBLE PRECISION array, dimension (NRHS) *> The estimated forward error bounds for each solution vector *> X. If XTRUE is the true solution, FERR bounds the magnitude *> of the largest entry in (X - XTRUE) divided by the magnitude *> of the largest entry in X. *> \endverbatim *> *> \param[in] BERR *> \verbatim *> BERR is DOUBLE PRECISION array, dimension (NRHS) *> The componentwise relative backward error of each solution *> vector (i.e., the smallest relative change in any entry of A *> or B that makes X an exact solution). *> \endverbatim *> *> \param[out] RESLTS *> \verbatim *> RESLTS is DOUBLE PRECISION array, dimension (2) *> The maximum over the NRHS solution vectors of the ratios: *> RESLTS(1) = norm(X - XACT) / ( norm(X) * FERR ) *> RESLTS(2) = BERR / ( NZ*EPS + (*) ) *> \endverbatim * * Authors: * ======== * *> \author Univ. of Tennessee *> \author Univ. of California Berkeley *> \author Univ. of Colorado Denver *> \author NAG Ltd. * *> \ingroup double_lin * * ===================================================================== SUBROUTINE DPTT05( N, NRHS, D, E, B, LDB, X, LDX, XACT, LDXACT, $ FERR, BERR, RESLTS ) * * -- 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 .. INTEGER LDB, LDX, LDXACT, N, NRHS * .. * .. Array Arguments .. DOUBLE PRECISION B( LDB, * ), BERR( * ), D( * ), E( * ), $ FERR( * ), RESLTS( * ), X( LDX, * ), $ XACT( LDXACT, * ) * .. * * ===================================================================== * * .. Parameters .. DOUBLE PRECISION ZERO, ONE PARAMETER ( ZERO = 0.0D+0, ONE = 1.0D+0 ) * .. * .. Local Scalars .. INTEGER I, IMAX, J, K, NZ DOUBLE PRECISION AXBI, DIFF, EPS, ERRBND, OVFL, TMP, UNFL, XNORM * .. * .. External Functions .. INTEGER IDAMAX DOUBLE PRECISION DLAMCH EXTERNAL IDAMAX, DLAMCH * .. * .. Intrinsic Functions .. INTRINSIC ABS, MAX, MIN * .. * .. Executable Statements .. * * Quick exit if N = 0 or NRHS = 0. * IF( N.LE.0 .OR. NRHS.LE.0 ) THEN RESLTS( 1 ) = ZERO RESLTS( 2 ) = ZERO RETURN END IF * EPS = DLAMCH( 'Epsilon' ) UNFL = DLAMCH( 'Safe minimum' ) OVFL = ONE / UNFL NZ = 4 * * Test 1: Compute the maximum of * norm(X - XACT) / ( norm(X) * FERR ) * over all the vectors X and XACT using the infinity-norm. * ERRBND = ZERO DO 30 J = 1, NRHS IMAX = IDAMAX( N, X( 1, J ), 1 ) XNORM = MAX( ABS( X( IMAX, J ) ), UNFL ) DIFF = ZERO DO 10 I = 1, N DIFF = MAX( DIFF, ABS( X( I, J )-XACT( I, J ) ) ) 10 CONTINUE * IF( XNORM.GT.ONE ) THEN GO TO 20 ELSE IF( DIFF.LE.OVFL*XNORM ) THEN GO TO 20 ELSE ERRBND = ONE / EPS GO TO 30 END IF * 20 CONTINUE IF( DIFF / XNORM.LE.FERR( J ) ) THEN ERRBND = MAX( ERRBND, ( DIFF / XNORM ) / FERR( J ) ) ELSE ERRBND = ONE / EPS END IF 30 CONTINUE RESLTS( 1 ) = ERRBND * * Test 2: Compute the maximum of BERR / ( NZ*EPS + (*) ), where * (*) = NZ*UNFL / (min_i (abs(A)*abs(X) +abs(b))_i ) * DO 50 K = 1, NRHS IF( N.EQ.1 ) THEN AXBI = ABS( B( 1, K ) ) + ABS( D( 1 )*X( 1, K ) ) ELSE AXBI = ABS( B( 1, K ) ) + ABS( D( 1 )*X( 1, K ) ) + $ ABS( E( 1 )*X( 2, K ) ) DO 40 I = 2, N - 1 TMP = ABS( B( I, K ) ) + ABS( E( I-1 )*X( I-1, K ) ) + $ ABS( D( I )*X( I, K ) ) + ABS( E( I )*X( I+1, K ) ) AXBI = MIN( AXBI, TMP ) 40 CONTINUE TMP = ABS( B( N, K ) ) + ABS( E( N-1 )*X( N-1, K ) ) + $ ABS( D( N )*X( N, K ) ) AXBI = MIN( AXBI, TMP ) END IF TMP = BERR( K ) / ( NZ*EPS+NZ*UNFL / MAX( AXBI, NZ*UNFL ) ) IF( K.EQ.1 ) THEN RESLTS( 2 ) = TMP ELSE RESLTS( 2 ) = MAX( RESLTS( 2 ), TMP ) END IF 50 CONTINUE * RETURN * * End of DPTT05 * END