zgsrfs.c

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/*! @file zgsrfs.c * \brief Improves computed solution to a system of inear equations *  * <pre> * -- SuperLU routine (version 3.0) -- * Univ. of California Berkeley, Xerox Palo Alto Research Center, * and Lawrence Berkeley National Lab. * October 15, 2003 * * Modified from lapack routine ZGERFS * </pre> *//* * File name:	zgsrfs.c * History:     Modified from lapack routine ZGERFS */#include <math.h>#include "slu_zdefs.h"/*! \brief * * <pre> *   Purpose    *   =======    * *   ZGSRFS improves the computed solution to a system of linear    *   equations and provides error bounds and backward error estimates for  *   the solution.    * *   If equilibration was performed, the system becomes: *           (diag(R)*A_original*diag(C)) * X = diag(R)*B_original. * *   See supermatrix.h for the definition of 'SuperMatrix' structure. * *   Arguments    *   =========    * * trans   (input) trans_t *          Specifies the form of the system of equations: *          = NOTRANS: A * X = B  (No transpose) *          = TRANS:   A'* X = B  (Transpose) *          = CONJ:    A**H * X = B  (Conjugate transpose) *    *   A       (input) SuperMatrix* *           The original matrix A in the system, or the scaled A if *           equilibration was done. The type of A can be: *           Stype = SLU_NC, Dtype = SLU_Z, Mtype = SLU_GE. *     *   L       (input) SuperMatrix* *	     The factor L from the factorization Pr*A*Pc=L*U. Use *           compressed row subscripts storage for supernodes,  *           i.e., L has types: Stype = SLU_SC, Dtype = SLU_Z, Mtype = SLU_TRLU. *  *   U       (input) SuperMatrix* *           The factor U from the factorization Pr*A*Pc=L*U as computed by *           zgstrf(). Use column-wise storage scheme,  *           i.e., U has types: Stype = SLU_NC, Dtype = SLU_Z, Mtype = SLU_TRU. * *   perm_c  (input) int*, dimension (A->ncol) *	     Column permutation vector, which defines the  *           permutation matrix Pc; perm_c[i] = j means column i of A is  *           in position j in A*Pc. * *   perm_r  (input) int*, dimension (A->nrow) *           Row permutation vector, which defines the permutation matrix Pr; *           perm_r[i] = j means row i of A is in position j in Pr*A. * *   equed   (input) Specifies the form of equilibration that was done. *           = 'N': No equilibration. *           = 'R': Row equilibration, i.e., A was premultiplied by diag(R). *           = 'C': Column equilibration, i.e., A was postmultiplied by *                  diag(C). *           = 'B': Both row and column equilibration, i.e., A was replaced  *                  by diag(R)*A*diag(C). * *   R       (input) double*, dimension (A->nrow) *           The row scale factors for A. *           If equed = 'R' or 'B', A is premultiplied by diag(R). *           If equed = 'N' or 'C', R is not accessed. *  *   C       (input) double*, dimension (A->ncol) *           The column scale factors for A. *           If equed = 'C' or 'B', A is postmultiplied by diag(C). *           If equed = 'N' or 'R', C is not accessed. * *   B       (input) SuperMatrix* *           B has types: Stype = SLU_DN, Dtype = SLU_Z, Mtype = SLU_GE. *           The right hand side matrix B. *           if equed = 'R' or 'B', B is premultiplied by diag(R). * *   X       (input/output) SuperMatrix* *           X has types: Stype = SLU_DN, Dtype = SLU_Z, Mtype = SLU_GE. *           On entry, the solution matrix X, as computed by zgstrs(). *           On exit, the improved solution matrix X. *           if *equed = 'C' or 'B', X should be premultiplied by diag(C) *               in order to obtain the solution to the original system. * *   FERR    (output) double*, dimension (B->ncol)    *           The estimated forward error bound for each solution vector    *           X(j) (the j-th column of the solution matrix X).    *           If XTRUE is the true solution corresponding to X(j), FERR(j)  *           is an estimated upper bound for the magnitude of the largest  *           element in (X(j) - XTRUE) divided by the magnitude of the    *           largest element in X(j).  The estimate is as reliable as    *           the estimate for RCOND, and is almost always a slight    *           overestimate of the true error. * *   BERR    (output) double*, dimension (B->ncol)    *           The componentwise relative backward error of each solution    *           vector X(j) (i.e., the smallest relative change in    *           any element of A or B that makes X(j) an exact solution). * *   stat     (output) SuperLUStat_t* *            Record the statistics on runtime and floating-point operation count. *            See util.h for the definition of 'SuperLUStat_t'. * *   info    (output) int*    *           = 0:  successful exit    *            < 0:  if INFO = -i, the i-th argument had an illegal value    * *    Internal Parameters    *    ===================    * *    ITMAX is the maximum number of steps of iterative refinement.    * * </pre> */voidzgsrfs(trans_t trans, SuperMatrix *A, SuperMatrix *L, SuperMatrix *U,       int *perm_c, int *perm_r, char *equed, double *R, double *C,       SuperMatrix *B, SuperMatrix *X, double *ferr, double *berr,       SuperLUStat_t *stat, int *info){#define ITMAX 5        /* Table of constant values */    int    ione = 1;    doublecomplex ndone = {-1., 0.};    doublecomplex done = {1., 0.};        /* Local variables */    NCformat *Astore;    doublecomplex   *Aval;    SuperMatrix Bjcol;    DNformat *Bstore, *Xstore, *Bjcol_store;    doublecomplex   *Bmat, *Xmat, *Bptr, *Xptr;    int      kase;    double   safe1, safe2;    int      i, j, k, irow, nz, count, notran, rowequ, colequ;    int      ldb, ldx, nrhs;    double   s, xk, lstres, eps, safmin;    char     transc[1];    trans_t  transt;    doublecomplex   *work;    double   *rwork;    int      *iwork;    extern double dlamch_(char *);    extern int zlacon_(int *, doublecomplex *, doublecomplex *, double *, int *);#ifdef _CRAY    extern int CCOPY(int *, doublecomplex *, int *, doublecomplex *, int *);    extern int CSAXPY(int *, doublecomplex *, doublecomplex *, int *, doublecomplex *, int *);#else    extern int zcopy_(int *, doublecomplex *, int *, doublecomplex *, int *);    extern int zaxpy_(int *, doublecomplex *, doublecomplex *, int *, doublecomplex *, int *);#endif    Astore = A->Store;    Aval   = Astore->nzval;    Bstore = B->Store;    Xstore = X->Store;    Bmat   = Bstore->nzval;    Xmat   = Xstore->nzval;    ldb    = Bstore->lda;    ldx    = Xstore->lda;    nrhs   = B->ncol;        /* Test the input parameters */    *info = 0;    notran = (trans == NOTRANS);    if ( !notran && trans != TRANS && trans != CONJ ) *info = -1;    else if ( A->nrow != A->ncol || A->nrow < 0 ||	      A->Stype != SLU_NC || A->Dtype != SLU_Z || A->Mtype != SLU_GE )	*info = -2;    else if ( L->nrow != L->ncol || L->nrow < 0 || 	      L->Stype != SLU_SC || L->Dtype != SLU_Z || L->Mtype != SLU_TRLU )	*info = -3;    else if ( U->nrow != U->ncol || U->nrow < 0 || 	      U->Stype != SLU_NC || U->Dtype != SLU_Z || U->Mtype != SLU_TRU )	*info = -4;    else if ( ldb < SUPERLU_MAX(0, A->nrow) || 	      B->Stype != SLU_DN || B->Dtype != SLU_Z || B->Mtype != SLU_GE )        *info = -10;    else if ( ldx < SUPERLU_MAX(0, A->nrow) || 	      X->Stype != SLU_DN || X->Dtype != SLU_Z || X->Mtype != SLU_GE )	*info = -11;    if (*info != 0) {	i = -(*info);	xerbla_("zgsrfs", &i);	return;    }    /* Quick return if possible */    if ( A->nrow == 0 || nrhs == 0) {	for (j = 0; j < nrhs; ++j) {	    ferr[j] = 0.;	    berr[j] = 0.;	}	return;    }    rowequ = lsame_(equed, "R") || lsame_(equed, "B");    colequ = lsame_(equed, "C") || lsame_(equed, "B");        /* Allocate working space */    work = doublecomplexMalloc(2*A->nrow);    rwork = (double *) SUPERLU_MALLOC( A->nrow * sizeof(double) );    iwork = intMalloc(A->nrow);    if ( !work || !rwork || !iwork )         ABORT("Malloc fails for work/rwork/iwork.");        if ( notran ) {	*(unsigned char *)transc = 'N';        transt = TRANS;    } else {	*(unsigned char *)transc = 'T';	transt = NOTRANS;    }

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