SuperLU Distributed 8.2.1
Distributed memory sparse direct solver
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Computes row and column scalings, restricting the scale factors to be power-of-radix. More...
Functions | |
void | psgsequb (SuperMatrix *A, float *r, float *c, float *rowcnd, float *colcnd, float *amax, int_t *info, gridinfo_t *grid) |
Computes row and column scalings, restricting the scale factors to be power-of-radix.
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.
File name: psgsequb.c History: similar to LAPACK routine SGEEQUB
void psgsequb | ( | SuperMatrix * | A, |
float * | r, | ||
float * | c, | ||
float * | rowcnd, | ||
float * | colcnd, | ||
float * | amax, | ||
int_t * | info, | ||
gridinfo_t * | grid | ||
) |
Purpose ======= PSGSEQUB 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 a power-of-radix 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. This routine differs from PSGSEQU by restricting the scaling factors to a power-of-radix. Barring over- and underflow, scaling by these factors introduces no additional rounding errors. However, the scaled entries' magnitudes are no longer approximately 1 but lie between sqrt(radix) and 1/sqrt(radix). 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_NR_loc; Dtype = SLU_S; Mtype = SLU_GE. R (output) float*, size A->nrow If INFO = 0 or INFO > M, R contains the row scale factors for A. C (output) float*, size A->ncol If INFO = 0, C contains the column scale factors for A. ROWCND (output) float* 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) float* 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) float* 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 <= M: the i-th row of A is exactly zero > M: the (i-M)-th column of A is exactly zero GRID (input) gridinof_t* The 2D process mesh. =====================================================================