KmlIssCgSet?I?

Set parameters related to iterative solution.

Interface Definition

C interface:

int KmlIssCgSetSII(KmlSolverTask **handle, enum KML_SOLVER_PARAM param, const int *data, int nd);

int KmlIssCgSetDII(KmlSolverTask **handle, enum KML_SOLVER_PARAM param, const int *data, int nd);

int KmlIssCgSetSIS(KmlSolverTask **handle, enum KML_SOLVER_PARAM param, const float *data, int nd);

int KmlIssCgSetDID(KmlSolverTask **handle, enum KML_SOLVER_PARAM param, const double *data, int nd);

Parameters

Parameter	Type	Description	Input/Output
handle	KmlSolverTask **	Solver handle, which transfers a variable defined previously.	Input/Output
param	enum KML_SOLVER_PARAM	KMLSS_THRESHOLD indicates the iteration residual threshold. KMLSS_MAX_ITERATION_COUNT indicates the maximum number of iterations. KMLSS_PRECONDITIONER_TYPE indicates the preconditioner type. KMLSS_VECTOR_NORM_TYPE indicates the norm for computing the iteration residual. KMLSS_MATRIX_FORMAT indicates the sparse storage format of a matrix.	Input
data	const int * in KmlIssCgSetSII const int * in KmlIssCgSetDII const float * in KmlIssCgSetSIS const double * in KmlIssCgSetDID	Iterative solution-related parameter array (for example, maximum number of iterations). Currently available norms for computation: 1-NORM: KMLSS_L1 2-NORM: KMLSS_L2 Currently available sparse matrix storage formats: CSR format: KMLSS_CSR ELLPACK format: KMLSS_ELL COO format: KMLSS_COO ELLPACK_COO hybrid format: KMLSS_SELLCOO Available preconditioner types: ILU preconditioner: KMLSS_ILU ICC preconditioner: KMLSS_ICC SOR preconditioner: KMLSS_SOR ILUT preconditioner: KMLSS_ILUT	Input
nd	int	Number of elements in the data array.	Input

Return Values

Return Value	Type	Description
KMLSS_NO_ERROR	int	The execution is successful.
KMLSS_DATA_SIZE	int	The value of nd is not 1.
KMLSS_NULL_ARGUMENT	int	A null argument exists in {handle, data}.
KMLSS_BAD_SELECTOR	int	Parameter param is invalid.

Dependency

#include "kml_iss.h"

Example

C interface:

KmlSolverTask *handle;
int ierr;
int n = 8;  

double a[26] = {1.0, 1.0, 2.0, 9.0, 2.0, 1.0, -3.0, 2.0, 3.0, 2.0, 1.0, 1.0, 9.0, -5.0, 2.0, 6.0, 1.0, -3.0, 1.0, 4.0, 1.0, -5.0, 7.0, 2.0,1.0, 2.0};
int ja[26] = {0, 3, 4, 1, 2, 3, 5, 1, 2, 7, 0, 1, 3, 6, 0, 4, 5, 1, 4, 5, 7, 3, 6, 2, 5, 7};
int ia[9] = {0, 3, 7, 10, 14, 17, 21, 23, 26};

ierr = KmlIssCgInitDI(&handle, n, a, ja, ia);

int nd = 1;
int idata[] = {0};
double ddata[] = {0};
double eps = 1e-4;
ierr = KmlIssCgSetDID(&handle, KMLSS_THRESHOLD, &eps, nd);
if (ierr != 0) {
    printf("\nERROR in KmlIssCgSetDID: %d", ierr);
    return 1;
    }
int max_iters = 2000;
ierr = KmlIssCgSetDII(&handle, KMLSS_MAX_ITERATION_COUNT, &max_iters, nd);
if (ierr != 0) {
    printf("\nERROR in KmlIssCgSetDII: %d", ierr);
    return 1;
    }

Parent topic: CG