SuperLU
5.2.0
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Computes row and column scalings. More...
Functions | |
void | dgsequ (SuperMatrix *A, double *r, double *c, double *rowcnd, double *colcnd, double *amax, int *info) |
Driver related. More... | |
Copyright (c) 2003, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from U.S. Dept. of Energy)
All rights reserved.
The source code is distributed under BSD license, see the file License.txt at the top-level directory.
– SuperLU routine (version 2.0) – Univ. of California Berkeley, Xerox Palo Alto Research Center, and Lawrence Berkeley National Lab. November 15, 1997
Modified from LAPACK routine DGEEQU
void dgsequ | ( | SuperMatrix * | A, |
double * | r, | ||
double * | c, | ||
double * | rowcnd, | ||
double * | colcnd, | ||
double * | amax, | ||
int * | info | ||
) |
Purpose
DGSEQU computes row and column scalings intended to equilibrate an M-by-N sparse matrix A and reduce its condition number. R returns the row scale factors and C the column scale factors, chosen to try to make the largest element in each row and column of the matrix B with elements B(i,j)=R(i)*A(i,j)*C(j) have absolute value 1.
R(i) and C(j) are restricted to be between SMLNUM = smallest safe number and BIGNUM = largest safe number. Use of these scaling factors is not guaranteed to reduce the condition number of A but works well in practice.
See supermatrix.h for the definition of 'SuperMatrix' structure.
Arguments
A (input) SuperMatrix* The matrix of dimension (A->nrow, A->ncol) whose equilibration factors are to be computed. The type of A can be: Stype = SLU_NC; Dtype = SLU_D; Mtype = SLU_GE.
R (output) double*, size A->nrow If INFO = 0 or INFO > M, R contains the row scale factors for A.
C (output) double*, size A->ncol If INFO = 0, C contains the column scale factors for A.
ROWCND (output) double* If INFO = 0 or INFO > M, ROWCND contains the ratio of the smallest R(i) to the largest R(i). If ROWCND >= 0.1 and AMAX is neither too large nor too small, it is not worth scaling by R.
COLCND (output) double* If INFO = 0, COLCND contains the ratio of the smallest C(i) to the largest C(i). If COLCND >= 0.1, it is not worth scaling by C.
AMAX (output) double* Absolute value of largest matrix element. If AMAX is very close to overflow or very close to underflow, the matrix should be scaled.
INFO (output) int* = 0: successful exit < 0: if INFO = -i, the i-th argument had an illegal value > 0: if INFO = i, and i is <= A->nrow: the i-th row of A is exactly zero > A->ncol: the (i-M)-th column of A is exactly zero