GRASS GIS 7 Programmer's Manual
7.9.dev(2021)-e5379bbd7
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#include <math.h>
#include <unistd.h>
#include <stdio.h>
#include <string.h>
#include <grass/gis.h>
#include <grass/gmath.h>
#include <grass/glocale.h>
Go to the source code of this file.
Functions | |
int | G_math_solver_pcg (double **A, double *x, double *b, int rows, int maxit, double err, int prec) |
The iterative preconditioned conjugate gradients solver for symmetric positive definite matrices. More... | |
int | G_math_solver_pcg_sband (double **A, double *x, double *b, int rows, int bandwidth, int maxit, double err, int prec) |
The iterative preconditioned conjugate gradients solver for symmetric positive definite band matrices. More... | |
int | G_math_solver_sparse_pcg (G_math_spvector **Asp, double *x, double *b, int rows, int maxit, double err, int prec) |
The iterative preconditioned conjugate gradients solver for sparse symmetric positive definite matrices. More... | |
int | G_math_solver_cg (double **A, double *x, double *b, int rows, int maxit, double err) |
The iterative conjugate gradients solver for symmetric positive definite matrices. More... | |
int | G_math_solver_cg_sband (double **A, double *x, double *b, int rows, int bandwidth, int maxit, double err) |
The iterative conjugate gradients solver for symmetric positive definite band matrices. More... | |
int | G_math_solver_sparse_cg (G_math_spvector **Asp, double *x, double *b, int rows, int maxit, double err) |
The iterative conjugate gradients solver for sparse symmetric positive definite matrices. More... | |
int | G_math_solver_bicgstab (double **A, double *x, double *b, int rows, int maxit, double err) |
The iterative biconjugate gradients solver with stabilization for unsymmetric non-definite matrices. More... | |
int | G_math_solver_sparse_bicgstab (G_math_spvector **Asp, double *x, double *b, int rows, int maxit, double err) |
The iterative biconjugate gradients solver with stabilization for unsymmetric non-definite matrices. More... | |
int G_math_solver_bicgstab | ( | double ** | A, |
double * | x, | ||
double * | b, | ||
int | rows, | ||
int | maxit, | ||
double | err | ||
) |
The iterative biconjugate gradients solver with stabilization for unsymmetric non-definite matrices.
This iterative solver works with regular quadratic matrices.
This solver solves the linear equation system: A x = b
The parameter maxit specifies the maximum number of iterations. If the maximum is reached, the solver will abort the calculation and writes the current result into the vector x. The parameter err defines the error break criteria for the solver.
A | (double **) – the matrix |
x | (double *) – the value vector |
b | (double *) – the right hand side |
rows | (int) |
maxit | (int) – the maximum number of iterations |
err | (double) – defines the error break criteria |
Definition at line 535 of file solvers_krylov.c.
int G_math_solver_cg | ( | double ** | A, |
double * | x, | ||
double * | b, | ||
int | rows, | ||
int | maxit, | ||
double | err | ||
) |
The iterative conjugate gradients solver for symmetric positive definite matrices.
This iterative solver works with symmetric positive definite regular quadratic matrices.
This solver solves the linear equation system: A x = b
The parameter maxit specifies the maximum number of iterations. If the maximum is reached, the solver will abort the calculation and writes the current result into the vector x. The parameter err defines the error break criteria for the solver.
A | (double **) – the matrix |
x | (double *) – the value vector |
b | (double *) – the right hand side |
rows | (int) |
maxit | (int) – the maximum number of iterations |
err | (double) – defines the error break criteria |
Definition at line 309 of file solvers_krylov.c.
int G_math_solver_cg_sband | ( | double ** | A, |
double * | x, | ||
double * | b, | ||
int | rows, | ||
int | bandwidth, | ||
int | maxit, | ||
double | err | ||
) |
The iterative conjugate gradients solver for symmetric positive definite band matrices.
This iterative solver works with symmetric positive definite band matrices.
This solver solves the linear equation system: A x = b
The parameter maxit specifies the maximum number of iterations. If the maximum is reached, the solver will abort the calculation and writes the current result into the vector x. The parameter err defines the error break criteria for the solver.
A | (double **) – the symmetric positive definite band matrix |
x | (double *) – the value vector |
b | (double *) – the right hand side |
rows | (int) |
bandwidth | (int) – the bandwidth of matrix A |
maxit | (int) – the maximum number of iterations |
err | (double) – defines the error break criteria |
Definition at line 337 of file solvers_krylov.c.
int G_math_solver_pcg | ( | double ** | A, |
double * | x, | ||
double * | b, | ||
int | rows, | ||
int | maxit, | ||
double | err, | ||
int | prec | ||
) |
The iterative preconditioned conjugate gradients solver for symmetric positive definite matrices.
This iterative solver works with symmetric positive definite regular quadratic matrices.
This solver solves the linear equation system: A x = b
The parameter maxit specifies the maximum number of iterations. If the maximum is reached, the solver will abort the calculation and writes the current result into the vector x. The parameter err defines the error break criteria for the solver.
A | (double **) – the matrix |
x | (double *) – the value vector |
b | (double *) – the right hand side |
rows | (int) |
maxit | (int) – the maximum number of iterations |
err | (double) – defines the error break criteria |
prec | (int) – the preconditioner which should be used 1,2 or 3 |
Definition at line 60 of file solvers_krylov.c.
int G_math_solver_pcg_sband | ( | double ** | A, |
double * | x, | ||
double * | b, | ||
int | rows, | ||
int | bandwidth, | ||
int | maxit, | ||
double | err, | ||
int | prec | ||
) |
The iterative preconditioned conjugate gradients solver for symmetric positive definite band matrices.
WARNING: The preconditioning of symmetric band matrices is not implemented yet
This iterative solver works with symmetric positive definite band matrices.
This solver solves the linear equation system: A x = b
The parameter maxit specifies the maximum number of iterations. If the maximum is reached, the solver will abort the calculation and writes the current result into the vector x. The parameter err defines the error break criteria for the solver.
A | (double **) – the positive definite band matrix |
x | (double *) – the value vector |
b | (double *) – the right hand side |
rows | (int) |
bandwidth | (int) – bandwidth of matrix A |
maxit | (int) – the maximum number of iterations |
err | (double) – defines the error break criteria |
prec | (int) – the preconditioner which should be used 1,2 or 3 |
Definition at line 92 of file solvers_krylov.c.
int G_math_solver_sparse_bicgstab | ( | G_math_spvector ** | Asp, |
double * | x, | ||
double * | b, | ||
int | rows, | ||
int | maxit, | ||
double | err | ||
) |
The iterative biconjugate gradients solver with stabilization for unsymmetric non-definite matrices.
This iterative solver works with sparse matrices.
This solver solves the linear equation system: A x = b
The parameter maxit specifies the maximum number of iterations. If the maximum is reached, the solver will abort the calculation and writes the current result into the vector x. The parameter err defines the error break criteria for the solver.
Asp | (G_math_spvector **) – the sparse matrix |
x | (double *) – the value vector |
b | (double *) – the right hand side |
rows | (int) |
maxit | (int) – the maximum number of iterations |
err | (double) – defines the error break criteria |
Definition at line 562 of file solvers_krylov.c.
int G_math_solver_sparse_cg | ( | G_math_spvector ** | Asp, |
double * | x, | ||
double * | b, | ||
int | rows, | ||
int | maxit, | ||
double | err | ||
) |
The iterative conjugate gradients solver for sparse symmetric positive definite matrices.
This iterative solver works with symmetric positive definite sparse matrices.
This solver solves the linear equation system: A x = b
The parameter maxit specifies the maximum number of iterations. If the maximum is reached, the solver will abort the calculation and writes the current result into the vector x. The parameter err defines the error break criteria for the solver.
Asp | (G_math_spvector **) – the sparse matrix |
x | (double *) – the value vector |
b | (double *) – the right hand side |
rows | (int) |
maxit | (int) – the maximum number of iterations |
err | (double) – defines the error break criteria |
Definition at line 364 of file solvers_krylov.c.
int G_math_solver_sparse_pcg | ( | G_math_spvector ** | Asp, |
double * | x, | ||
double * | b, | ||
int | rows, | ||
int | maxit, | ||
double | err, | ||
int | prec | ||
) |
The iterative preconditioned conjugate gradients solver for sparse symmetric positive definite matrices.
This iterative solver works with symmetric positive definite sparse matrices.
This solver solves the linear equation system: A x = b
The parameter maxit specifies the maximum number of iterations. If the maximum is reached, the solver will abort the calculation and writes the current result into the vector x. The parameter err defines the error break criteria for the solver.
Asp | (G_math_spvector **) – the sparse matrix |
x | (double *) – the value vector |
b | (double *) – the right hand side |
rows | (int) |
maxit | (int) – the maximum number of iterations |
err | (double) – defines the error break criteria |
prec | (int) – the preconditioner which should be used 1,2 or 3 |
Definition at line 122 of file solvers_krylov.c.