numeric-linalg
Educational material on the SciPy implementation of numerical linear algebra algorithms
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lapack/TESTING/MATGEN/slarge.f | 4463B | -rw-r--r-- |
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*> \brief \b SLARGE * * =========== DOCUMENTATION =========== * * Online html documentation available at * http://www.netlib.org/lapack/explore-html/ * * Definition: * =========== * * SUBROUTINE SLARGE( N, A, LDA, ISEED, WORK, INFO ) * * .. Scalar Arguments .. * INTEGER INFO, LDA, N * .. * .. Array Arguments .. * INTEGER ISEED( 4 ) * REAL A( LDA, * ), WORK( * ) * .. * * *> \par Purpose: * ============= *> *> \verbatim *> *> SLARGE pre- and post-multiplies a real general n by n matrix A *> with a random orthogonal matrix: A = U*D*U'. *> \endverbatim * * Arguments: * ========== * *> \param[in] N *> \verbatim *> N is INTEGER *> The order of the matrix A. N >= 0. *> \endverbatim *> *> \param[in,out] A *> \verbatim *> A is REAL array, dimension (LDA,N) *> On entry, the original n by n matrix A. *> On exit, A is overwritten by U*A*U' for some random *> orthogonal matrix U. *> \endverbatim *> *> \param[in] LDA *> \verbatim *> LDA is INTEGER *> The leading dimension of the array A. LDA >= N. *> \endverbatim *> *> \param[in,out] ISEED *> \verbatim *> ISEED is INTEGER array, dimension (4) *> On entry, the seed of the random number generator; the array *> elements must be between 0 and 4095, and ISEED(4) must be *> odd. *> On exit, the seed is updated. *> \endverbatim *> *> \param[out] WORK *> \verbatim *> WORK is REAL array, dimension (2*N) *> \endverbatim *> *> \param[out] INFO *> \verbatim *> INFO is INTEGER *> = 0: successful exit *> < 0: if INFO = -i, the i-th argument had an illegal value *> \endverbatim * * Authors: * ======== * *> \author Univ. of Tennessee *> \author Univ. of California Berkeley *> \author Univ. of Colorado Denver *> \author NAG Ltd. * *> \ingroup real_matgen * * ===================================================================== SUBROUTINE SLARGE( N, A, LDA, ISEED, WORK, INFO ) * * -- LAPACK auxiliary 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 INFO, LDA, N * .. * .. Array Arguments .. INTEGER ISEED( 4 ) REAL A( LDA, * ), WORK( * ) * .. * * ===================================================================== * * .. Parameters .. REAL ZERO, ONE PARAMETER ( ZERO = 0.0E+0, ONE = 1.0E+0 ) * .. * .. Local Scalars .. INTEGER I REAL TAU, WA, WB, WN * .. * .. External Subroutines .. EXTERNAL SGEMV, SGER, SLARNV, SSCAL, XERBLA * .. * .. Intrinsic Functions .. INTRINSIC MAX, SIGN * .. * .. External Functions .. REAL SNRM2 EXTERNAL SNRM2 * .. * .. Executable Statements .. * * Test the input arguments * INFO = 0 IF( N.LT.0 ) THEN INFO = -1 ELSE IF( LDA.LT.MAX( 1, N ) ) THEN INFO = -3 END IF IF( INFO.LT.0 ) THEN CALL XERBLA( 'SLARGE', -INFO ) RETURN END IF * * pre- and post-multiply A by random orthogonal matrix * DO 10 I = N, 1, -1 * * generate random reflection * CALL SLARNV( 3, ISEED, N-I+1, WORK ) WN = SNRM2( N-I+1, WORK, 1 ) WA = SIGN( WN, WORK( 1 ) ) IF( WN.EQ.ZERO ) THEN TAU = ZERO ELSE WB = WORK( 1 ) + WA CALL SSCAL( N-I, ONE / WB, WORK( 2 ), 1 ) WORK( 1 ) = ONE TAU = WB / WA END IF * * multiply A(i:n,1:n) by random reflection from the left * CALL SGEMV( 'Transpose', N-I+1, N, ONE, A( I, 1 ), LDA, WORK, $ 1, ZERO, WORK( N+1 ), 1 ) CALL SGER( N-I+1, N, -TAU, WORK, 1, WORK( N+1 ), 1, A( I, 1 ), $ LDA ) * * multiply A(1:n,i:n) by random reflection from the right * CALL SGEMV( 'No transpose', N, N-I+1, ONE, A( 1, I ), LDA, $ WORK, 1, ZERO, WORK( N+1 ), 1 ) CALL SGER( N, N-I+1, -TAU, WORK( N+1 ), 1, WORK, 1, A( 1, I ), $ LDA ) 10 CONTINUE RETURN * * End of SLARGE * END