numeric-linalg
Educational material on the SciPy implementation of numerical linear algebra algorithms
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lapack/TESTING/MATGEN/dlatm2.f | 9042B | -rw-r--r-- |
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*> \brief \b DLATM2 * * =========== DOCUMENTATION =========== * * Online html documentation available at * http://www.netlib.org/lapack/explore-html/ * * Definition: * =========== * * DOUBLE PRECISION FUNCTION DLATM2( M, N, I, J, KL, KU, IDIST, * ISEED, D, IGRADE, DL, DR, IPVTNG, IWORK, SPARSE ) * * .. Scalar Arguments .. * * INTEGER I, IDIST, IGRADE, IPVTNG, J, KL, KU, M, N * DOUBLE PRECISION SPARSE * .. * * .. Array Arguments .. * * INTEGER ISEED( 4 ), IWORK( * ) * DOUBLE PRECISION D( * ), DL( * ), DR( * ) * .. * * *> \par Purpose: * ============= *> *> \verbatim *> *> DLATM2 returns the (I,J) entry of a random matrix of dimension *> (M, N) described by the other parameters. It is called by the *> DLATMR routine in order to build random test matrices. No error *> checking on parameters is done, because this routine is called in *> a tight loop by DLATMR which has already checked the parameters. *> *> Use of DLATM2 differs from SLATM3 in the order in which the random *> number generator is called to fill in random matrix entries. *> With DLATM2, the generator is called to fill in the pivoted matrix *> columnwise. With DLATM3, the generator is called to fill in the *> matrix columnwise, after which it is pivoted. Thus, DLATM3 can *> be used to construct random matrices which differ only in their *> order of rows and/or columns. DLATM2 is used to construct band *> matrices while avoiding calling the random number generator for *> entries outside the band (and therefore generating random numbers *> *> The matrix whose (I,J) entry is returned is constructed as *> follows (this routine only computes one entry): *> *> If I is outside (1..M) or J is outside (1..N), return zero *> (this is convenient for generating matrices in band format). *> *> Generate a matrix A with random entries of distribution IDIST. *> *> Set the diagonal to D. *> *> Grade the matrix, if desired, from the left (by DL) and/or *> from the right (by DR or DL) as specified by IGRADE. *> *> Permute, if desired, the rows and/or columns as specified by *> IPVTNG and IWORK. *> *> Band the matrix to have lower bandwidth KL and upper *> bandwidth KU. *> *> Set random entries to zero as specified by SPARSE. *> \endverbatim * * Arguments: * ========== * *> \param[in] M *> \verbatim *> M is INTEGER *> Number of rows of matrix. Not modified. *> \endverbatim *> *> \param[in] N *> \verbatim *> N is INTEGER *> Number of columns of matrix. Not modified. *> \endverbatim *> *> \param[in] I *> \verbatim *> I is INTEGER *> Row of entry to be returned. Not modified. *> \endverbatim *> *> \param[in] J *> \verbatim *> J is INTEGER *> Column of entry to be returned. Not modified. *> \endverbatim *> *> \param[in] KL *> \verbatim *> KL is INTEGER *> Lower bandwidth. Not modified. *> \endverbatim *> *> \param[in] KU *> \verbatim *> KU is INTEGER *> Upper bandwidth. Not modified. *> \endverbatim *> *> \param[in] IDIST *> \verbatim *> IDIST is INTEGER *> On entry, IDIST specifies the type of distribution to be *> used to generate a random matrix . *> 1 => UNIFORM( 0, 1 ) *> 2 => UNIFORM( -1, 1 ) *> 3 => NORMAL( 0, 1 ) *> Not modified. *> \endverbatim *> *> \param[in,out] ISEED *> \verbatim *> ISEED is INTEGER array of dimension ( 4 ) *> Seed for random number generator. *> Changed on exit. *> \endverbatim *> *> \param[in] D *> \verbatim *> D is DOUBLE PRECISION array of dimension ( MIN( I , J ) ) *> Diagonal entries of matrix. Not modified. *> \endverbatim *> *> \param[in] IGRADE *> \verbatim *> IGRADE is INTEGER *> Specifies grading of matrix as follows: *> 0 => no grading *> 1 => matrix premultiplied by diag( DL ) *> 2 => matrix postmultiplied by diag( DR ) *> 3 => matrix premultiplied by diag( DL ) and *> postmultiplied by diag( DR ) *> 4 => matrix premultiplied by diag( DL ) and *> postmultiplied by inv( diag( DL ) ) *> 5 => matrix premultiplied by diag( DL ) and *> postmultiplied by diag( DL ) *> Not modified. *> \endverbatim *> *> \param[in] DL *> \verbatim *> DL is DOUBLE PRECISION array ( I or J, as appropriate ) *> Left scale factors for grading matrix. Not modified. *> \endverbatim *> *> \param[in] DR *> \verbatim *> DR is DOUBLE PRECISION array ( I or J, as appropriate ) *> Right scale factors for grading matrix. Not modified. *> \endverbatim *> *> \param[in] IPVTNG *> \verbatim *> IPVTNG is INTEGER *> On entry specifies pivoting permutations as follows: *> 0 => none. *> 1 => row pivoting. *> 2 => column pivoting. *> 3 => full pivoting, i.e., on both sides. *> Not modified. *> \endverbatim *> *> \param[out] IWORK *> \verbatim *> IWORK is INTEGER array ( I or J, as appropriate ) *> This array specifies the permutation used. The *> row (or column) in position K was originally in *> position IWORK( K ). *> This differs from IWORK for DLATM3. Not modified. *> \endverbatim *> *> \param[in] SPARSE *> \verbatim *> SPARSE is DOUBLE PRECISION between 0. and 1. *> On entry specifies the sparsity of the matrix *> if sparse matrix is to be generated. *> SPARSE should lie between 0 and 1. *> A uniform ( 0, 1 ) random number x is generated and *> compared to SPARSE; if x is larger the matrix entry *> is unchanged and if x is smaller the entry is set *> to zero. Thus on the average a fraction SPARSE of the *> entries will be set to zero. *> Not modified. *> \endverbatim * * Authors: * ======== * *> \author Univ. of Tennessee *> \author Univ. of California Berkeley *> \author Univ. of Colorado Denver *> \author NAG Ltd. * *> \ingroup double_matgen * * ===================================================================== DOUBLE PRECISION FUNCTION DLATM2( M, N, I, J, KL, KU, IDIST, $ ISEED, D, IGRADE, DL, DR, IPVTNG, IWORK, SPARSE ) * * -- 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 I, IDIST, IGRADE, IPVTNG, J, KL, KU, M, N DOUBLE PRECISION SPARSE * .. * * .. Array Arguments .. * INTEGER ISEED( 4 ), IWORK( * ) DOUBLE PRECISION D( * ), DL( * ), DR( * ) * .. * * ===================================================================== * * .. Parameters .. * DOUBLE PRECISION ZERO PARAMETER ( ZERO = 0.0D0 ) * .. * * .. Local Scalars .. * INTEGER ISUB, JSUB DOUBLE PRECISION TEMP * .. * * .. External Functions .. * DOUBLE PRECISION DLARAN, DLARND EXTERNAL DLARAN, DLARND * .. * *----------------------------------------------------------------------- * * .. Executable Statements .. * * * Check for I and J in range * IF( I.LT.1 .OR. I.GT.M .OR. J.LT.1 .OR. J.GT.N ) THEN DLATM2 = ZERO RETURN END IF * * Check for banding * IF( J.GT.I+KU .OR. J.LT.I-KL ) THEN DLATM2 = ZERO RETURN END IF * * Check for sparsity * IF( SPARSE.GT.ZERO ) THEN IF( DLARAN( ISEED ).LT.SPARSE ) THEN DLATM2 = ZERO RETURN END IF END IF * * Compute subscripts depending on IPVTNG * IF( IPVTNG.EQ.0 ) THEN ISUB = I JSUB = J ELSE IF( IPVTNG.EQ.1 ) THEN ISUB = IWORK( I ) JSUB = J ELSE IF( IPVTNG.EQ.2 ) THEN ISUB = I JSUB = IWORK( J ) ELSE IF( IPVTNG.EQ.3 ) THEN ISUB = IWORK( I ) JSUB = IWORK( J ) END IF * * Compute entry and grade it according to IGRADE * IF( ISUB.EQ.JSUB ) THEN TEMP = D( ISUB ) ELSE TEMP = DLARND( IDIST, ISEED ) END IF IF( IGRADE.EQ.1 ) THEN TEMP = TEMP*DL( ISUB ) ELSE IF( IGRADE.EQ.2 ) THEN TEMP = TEMP*DR( JSUB ) ELSE IF( IGRADE.EQ.3 ) THEN TEMP = TEMP*DL( ISUB )*DR( JSUB ) ELSE IF( IGRADE.EQ.4 .AND. ISUB.NE.JSUB ) THEN TEMP = TEMP*DL( ISUB ) / DL( JSUB ) ELSE IF( IGRADE.EQ.5 ) THEN TEMP = TEMP*DL( ISUB )*DL( JSUB ) END IF DLATM2 = TEMP RETURN * * End of DLATM2 * END