TESTING/MATGEN/dlatm2.f(3)
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πΈ NAME πΈ
TESTING/MATGEN/dlatm2.f β thatβs the file, and dlatm2 is the double precision function doing the work. Periodt.
β¨ SYNOPSIS β¨
Functions/Subroutines
double precision function dlatm2 (m, n, i, j, kl, ku, idist, iseed, d,
igrade, dl, dr, ipvtng, iwork, sparse)
DLATM2
π Function/Subroutine Documentation π
Hereβs the full signature, bestie β every type, every dimension, every comma exactly where it belongs β¨
double precision function dlatm2 (integer m, integer n, integer i, integer
j, integer kl, integer ku, integer idist, integer, dimension( 4 ) iseed,
double precision, dimension( * ) d, integer igrade, double precision,
dimension( * ) dl, double precision, dimension( * ) dr, integer ipvtng,
integer, dimension( * ) iwork, double precision sparse)
DLATM2
π Purpose π
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. No cap π«Ά.
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 β yes, the original sentence trails off there, bestie π.
The matrix whose (I,J) entry is returned is constructed as follows (this routine only computes one entry):
- If
Iis outside(1..M)orJis outside(1..N), return zero β this is convenient for generating matrices in band format. - Generate a matrix
Awith random entries of distributionIDIST. - Set the diagonal to
D. - Grade the matrix, if desired, from the left (by
DL) and/or from the right (byDRorDL) as specified byIGRADE. - Permute, if desired, the rows and/or columns as specified by
IPVTNGandIWORK. - Band the matrix to have lower bandwidth
KLand upper bandwidthKU. - Set random entries to zero as specified by
SPARSE.
π¦ Parameters π¦
MβINTEGER. Number of rows of matrix. Not modified.NβINTEGER. Number of columns of matrix. Not modified.IβINTEGER. Row of entry to be returned. Not modified.JβINTEGER. Column of entry to be returned. Not modified.KLβINTEGER. Lower bandwidth. Not modified.KUβINTEGER. Upper bandwidth. Not modified.IDISTβINTEGER. On entry,IDISTspecifies 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.
ISEEDβINTEGERarray of dimension( 4 ). Seed for random number generator. Changed on exit.DβDOUBLE PRECISIONarray of dimension( MIN( I , J ) ). Diagonal entries of matrix. Not modified.IGRADEβINTEGER. Specifies grading of matrix as follows:0 => no grading1 => 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.
DLβDOUBLE PRECISIONarray (IorJ, as appropriate ). Left scale factors for grading matrix. Not modified.DRβDOUBLE PRECISIONarray (IorJ, as appropriate ). Right scale factors for grading matrix. Not modified.IPVTNGβINTEGER. 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.
IWORKβINTEGERarray (IorJ, as appropriate ). This array specifies the permutation used. The row (or column) in positionKwas originally in positionIWORK( K ). This differs fromIWORKforDLATM3. Not modified.SPARSEβDOUBLE PRECISIONbetween0.and1. On entry specifies the sparsity of the matrix if sparse matrix is to be generated.SPARSEshould lie between0and1. A uniform( 0, 1 )random numberxis generated and compared toSPARSE; ifxis larger the matrix entry is unchanged and ifxis smaller the entry is set to zero. Thus on the average a fractionSPARSEof the entries will be set to zero. Not modified.
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Definition at line 206 of file dlatm2.f.
Author: Generated automatically by Doxygen for LAPACK from the source code.
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