예제 #1
0
파일: clinsolx2.c 프로젝트: Amanotoko/fem
int main(int argc, char *argv[])
{
/*
 * Purpose
 * =======
 *
 * The driver program CLINSOLX2.
 *
 * This example illustrates how to use CGSSVX to solve systems repeatedly
 * with the same sparsity pattern of matrix A.
 * In this case, the column permutation vector perm_c is computed once.
 * The following data structures will be reused in the subsequent call to
 * CGSSVX: perm_c, etree
 * 
 */
    char           equed[1];
    yes_no_t       equil;
    trans_t        trans;
    SuperMatrix    A, A1, L, U;
    SuperMatrix    B, B1, X;
    NCformat       *Astore;
    NCformat       *Ustore;
    SCformat       *Lstore;
    complex         *a, *a1;
    int            *asub, *xa, *asub1, *xa1;
    int            *perm_r; /* row permutations from partial pivoting */
    int            *perm_c; /* column permutation vector */
    int            *etree;
    void           *work;
    int            info, lwork, nrhs, ldx;
    int            i, j, m, n, nnz;
    complex         *rhsb, *rhsb1, *rhsx, *xact;
    float         *R, *C;
    float         *ferr, *berr;
    float         u, rpg, rcond;
    mem_usage_t    mem_usage;
    superlu_options_t options;
    SuperLUStat_t stat;
    extern void    parse_command_line();

#if ( DEBUGlevel>=1 )
    CHECK_MALLOC("Enter main()");
#endif

    /* Defaults */
    lwork = 0;
    nrhs  = 1;
    equil = YES;	
    u     = 1.0;
    trans = NOTRANS;

    /* Set the default input options:
	options.Fact = DOFACT;
        options.Equil = YES;
    	options.ColPerm = COLAMD;
	options.DiagPivotThresh = 1.0;
    	options.Trans = NOTRANS;
    	options.IterRefine = NOREFINE;
    	options.SymmetricMode = NO;
    	options.PivotGrowth = NO;
    	options.ConditionNumber = NO;
    	options.PrintStat = YES;
     */
    set_default_options(&options);

    /* Can use command line input to modify the defaults. */
    parse_command_line(argc, argv, &lwork, &u, &equil, &trans);
    options.Equil = equil;
    options.DiagPivotThresh = u;
    options.Trans = trans;

    if ( lwork > 0 ) {
	work = SUPERLU_MALLOC(lwork);
	if ( !work ) {
	    ABORT("DLINSOLX: cannot allocate work[]");
	}
    }

    /* Read matrix A from a file in Harwell-Boeing format.*/
    creadhb(&m, &n, &nnz, &a, &asub, &xa);
    if ( !(a1 = complexMalloc(nnz)) ) ABORT("Malloc fails for a1[].");
    if ( !(asub1 = intMalloc(nnz)) ) ABORT("Malloc fails for asub1[].");
    if ( !(xa1 = intMalloc(n+1)) ) ABORT("Malloc fails for xa1[].");
    for (i = 0; i < nnz; ++i) {
        a1[i] = a[i];
	asub1[i] = asub[i];
    }
    for (i = 0; i < n+1; ++i) xa1[i] = xa[i];
    
    cCreate_CompCol_Matrix(&A, m, n, nnz, a, asub, xa, SLU_NC, SLU_C, SLU_GE);
    Astore = A.Store;
    printf("Dimension %dx%d; # nonzeros %d\n", A.nrow, A.ncol, Astore->nnz);
    
    if ( !(rhsb = complexMalloc(m * nrhs)) ) ABORT("Malloc fails for rhsb[].");
    if ( !(rhsb1 = complexMalloc(m * nrhs)) ) ABORT("Malloc fails for rhsb1[].");
    if ( !(rhsx = complexMalloc(m * nrhs)) ) ABORT("Malloc fails for rhsx[].");
    cCreate_Dense_Matrix(&B, m, nrhs, rhsb, m, SLU_DN, SLU_C, SLU_GE);
    cCreate_Dense_Matrix(&X, m, nrhs, rhsx, m, SLU_DN, SLU_C, SLU_GE);
    xact = complexMalloc(n * nrhs);
    ldx = n;
    cGenXtrue(n, nrhs, xact, ldx);
    cFillRHS(trans, nrhs, xact, ldx, &A, &B);
    for (j = 0; j < nrhs; ++j)
        for (i = 0; i < m; ++i) rhsb1[i+j*m] = rhsb[i+j*m];
    
    if ( !(perm_c = intMalloc(n)) ) ABORT("Malloc fails for perm_c[].");
    if ( !(perm_r = intMalloc(m)) ) ABORT("Malloc fails for perm_r[].");
    if ( !(etree = intMalloc(n)) ) ABORT("Malloc fails for etree[].");
    if ( !(R = (float *) SUPERLU_MALLOC(A.nrow * sizeof(float))) ) 
        ABORT("SUPERLU_MALLOC fails for R[].");
    if ( !(C = (float *) SUPERLU_MALLOC(A.ncol * sizeof(float))) )
        ABORT("SUPERLU_MALLOC fails for C[].");
    if ( !(ferr = (float *) SUPERLU_MALLOC(nrhs * sizeof(float))) )
        ABORT("SUPERLU_MALLOC fails for ferr[].");
    if ( !(berr = (float *) SUPERLU_MALLOC(nrhs * sizeof(float))) ) 
        ABORT("SUPERLU_MALLOC fails for berr[].");

    /* Initialize the statistics variables. */
    StatInit(&stat);
    
    /* ------------------------------------------------------------
       WE SOLVE THE LINEAR SYSTEM FOR THE FIRST TIME: AX = B
       ------------------------------------------------------------*/
    cgssvx(&options, &A, perm_c, perm_r, etree, equed, R, C,
           &L, &U, work, lwork, &B, &X, &rpg, &rcond, ferr, berr,
           &mem_usage, &stat, &info);

    printf("First system: cgssvx() returns info %d\n", info);

    if ( info == 0 || info == n+1 ) {

        /* This is how you could access the solution matrix. */
        complex *sol = (complex*) ((DNformat*) X.Store)->nzval; 

	if ( options.PivotGrowth ) printf("Recip. pivot growth = %e\n", rpg);
	if ( options.ConditionNumber )
	    printf("Recip. condition number = %e\n", rcond);
        Lstore = (SCformat *) L.Store;
        Ustore = (NCformat *) U.Store;
	printf("No of nonzeros in factor L = %d\n", Lstore->nnz);
    	printf("No of nonzeros in factor U = %d\n", Ustore->nnz);
    	printf("No of nonzeros in L+U = %d\n", Lstore->nnz + Ustore->nnz - n);
    	printf("FILL ratio = %.1f\n", (float)(Lstore->nnz + Ustore->nnz - n)/nnz);

	printf("L\\U MB %.3f\ttotal MB needed %.3f\n",
	       mem_usage.for_lu/1e6, mem_usage.total_needed/1e6);
	if ( options.IterRefine ) {
            printf("Iterative Refinement:\n");
	    printf("%8s%8s%16s%16s\n", "rhs", "Steps", "FERR", "BERR");
	    for (i = 0; i < nrhs; ++i)
	      printf("%8d%8d%16e%16e\n", i+1, stat.RefineSteps, ferr[i], berr[i]);
	}
	fflush(stdout);

    } else if ( info > 0 && lwork == -1 ) {
        printf("** Estimated memory: %d bytes\n", info - n);
    }

    if ( options.PrintStat ) StatPrint(&stat);
    StatFree(&stat);
    Destroy_CompCol_Matrix(&A);
    Destroy_Dense_Matrix(&B);
    if ( lwork >= 0 ) { /* Deallocate storage associated with L and U. */
        Destroy_SuperNode_Matrix(&L);
        Destroy_CompCol_Matrix(&U);
    }

    /* ------------------------------------------------------------
       NOW WE SOLVE ANOTHER LINEAR SYSTEM: A1*X = B1
       ONLY THE SPARSITY PATTERN OF A1 IS THE SAME AS THAT OF A.
       ------------------------------------------------------------*/
    options.Fact = SamePattern;
    StatInit(&stat); /* Initialize the statistics variables. */

    cCreate_CompCol_Matrix(&A1, m, n, nnz, a1, asub1, xa1,
                           SLU_NC, SLU_C, SLU_GE);
    cCreate_Dense_Matrix(&B1, m, nrhs, rhsb1, m, SLU_DN, SLU_C, SLU_GE);

    cgssvx(&options, &A1, perm_c, perm_r, etree, equed, R, C,
           &L, &U, work, lwork, &B1, &X, &rpg, &rcond, ferr, berr,
           &mem_usage, &stat, &info);

    printf("\nSecond system: cgssvx() returns info %d\n", info);

    if ( info == 0 || info == n+1 ) {

        /* This is how you could access the solution matrix. */
        complex *sol = (complex*) ((DNformat*) X.Store)->nzval; 

	if ( options.PivotGrowth ) printf("Recip. pivot growth = %e\n", rpg);
	if ( options.ConditionNumber )
	    printf("Recip. condition number = %e\n", rcond);
        Lstore = (SCformat *) L.Store;
        Ustore = (NCformat *) U.Store;
	printf("No of nonzeros in factor L = %d\n", Lstore->nnz);
    	printf("No of nonzeros in factor U = %d\n", Ustore->nnz);
    	printf("No of nonzeros in L+U = %d\n", Lstore->nnz + Ustore->nnz - n);
	printf("L\\U MB %.3f\ttotal MB needed %.3f\n",
	       mem_usage.for_lu/1e6, mem_usage.total_needed/1e6);
	if ( options.IterRefine ) {
            printf("Iterative Refinement:\n");
	    printf("%8s%8s%16s%16s\n", "rhs", "Steps", "FERR", "BERR");
	    for (i = 0; i < nrhs; ++i)
	      printf("%8d%8d%16e%16e\n", i+1, stat.RefineSteps, ferr[i], berr[i]);
	}
	fflush(stdout);
    } else if ( info > 0 && lwork == -1 ) {
        printf("** Estimated memory: %d bytes\n", info - n);
    }

    if ( options.PrintStat ) StatPrint(&stat);
    StatFree(&stat);

    SUPERLU_FREE (xact);
    SUPERLU_FREE (etree);
    SUPERLU_FREE (perm_r);
    SUPERLU_FREE (perm_c);
    SUPERLU_FREE (R);
    SUPERLU_FREE (C);
    SUPERLU_FREE (ferr);
    SUPERLU_FREE (berr);
    Destroy_CompCol_Matrix(&A1);
    Destroy_Dense_Matrix(&B1);
    Destroy_Dense_Matrix(&X);
    if ( lwork == 0 ) {
        Destroy_SuperNode_Matrix(&L);
        Destroy_CompCol_Matrix(&U);
    } else if ( lwork > 0 ) {
        SUPERLU_FREE(work);
    }

#if ( DEBUGlevel>=1 )
    CHECK_MALLOC("Exit main()");
#endif
}
예제 #2
0
파일: citersol.c 프로젝트: gilso/Packages
int main(int argc, char *argv[])
{
    void cmatvec_mult(complex alpha, complex x[], complex beta, complex y[]);
    void cpsolve(int n, complex x[], complex y[]);
    extern int cfgmr( int n,
	void (*matvec_mult)(complex, complex [], complex, complex []),
	void (*psolve)(int n, complex [], complex[]),
	complex *rhs, complex *sol, double tol, int restrt, int *itmax,
	FILE *fits);
    extern int cfill_diag(int n, NCformat *Astore);

    char     equed[1] = {'B'};
    yes_no_t equil;
    trans_t  trans;
    SuperMatrix A, L, U;
    SuperMatrix B, X;
    NCformat *Astore;
    NCformat *Ustore;
    SCformat *Lstore;
    complex   *a;
    int      *asub, *xa;
    int      *etree;
    int      *perm_c; /* column permutation vector */
    int      *perm_r; /* row permutations from partial pivoting */
    int      nrhs, ldx, lwork, info, m, n, nnz;
    complex   *rhsb, *rhsx, *xact;
    complex   *work = NULL;
    float   *R, *C;
    float   u, rpg, rcond;
    complex zero = {0.0, 0.0};
    complex one = {1.0, 0.0};
    complex none = {-1.0, 0.0};
    mem_usage_t   mem_usage;
    superlu_options_t options;
    SuperLUStat_t stat;

    int restrt, iter, maxit, i;
    double resid;
    complex *x, *b;

#ifdef DEBUG
    extern int num_drop_L, num_drop_U;
#endif

#if ( DEBUGlevel>=1 )
    CHECK_MALLOC("Enter main()");
#endif

    /* Defaults */
    lwork = 0;
    nrhs  = 1;
    equil = YES;
    u	  = 0.1; /* u=1.0 for complete factorization */
    trans = NOTRANS;

    /* Set the default input options:
	options.Fact = DOFACT;
	options.Equil = YES;
	options.ColPerm = COLAMD;
	options.DiagPivotThresh = 0.1; //different from complete LU
	options.Trans = NOTRANS;
	options.IterRefine = NOREFINE;
	options.SymmetricMode = NO;
	options.PivotGrowth = NO;
	options.ConditionNumber = NO;
	options.PrintStat = YES;
	options.RowPerm = LargeDiag;
	options.ILU_DropTol = 1e-4;
	options.ILU_FillTol = 1e-2;
	options.ILU_FillFactor = 10.0;
	options.ILU_DropRule = DROP_BASIC | DROP_AREA;
	options.ILU_Norm = INF_NORM;
	options.ILU_MILU = SMILU_2;
     */
    ilu_set_default_options(&options);

    /* Modify the defaults. */
    options.PivotGrowth = YES;	  /* Compute reciprocal pivot growth */
    options.ConditionNumber = YES;/* Compute reciprocal condition number */

    if ( lwork > 0 ) {
	work = SUPERLU_MALLOC(lwork);
	if ( !work ) ABORT("Malloc fails for work[].");
    }

    /* Read matrix A from a file in Harwell-Boeing format.*/
    if (argc < 2)
    {
	printf("Usage:\n%s [OPTION] < [INPUT] > [OUTPUT]\nOPTION:\n"
		"-h -hb:\n\t[INPUT] is a Harwell-Boeing format matrix.\n"
		"-r -rb:\n\t[INPUT] is a Rutherford-Boeing format matrix.\n"
		"-t -triplet:\n\t[INPUT] is a triplet format matrix.\n",
		argv[0]);
	return 0;
    }
    else
    {
	switch (argv[1][1])
	{
	    case 'H':
	    case 'h':
		printf("Input a Harwell-Boeing format matrix:\n");
		creadhb(&m, &n, &nnz, &a, &asub, &xa);
		break;
	    case 'R':
	    case 'r':
		printf("Input a Rutherford-Boeing format matrix:\n");
		creadrb(&m, &n, &nnz, &a, &asub, &xa);
		break;
	    case 'T':
	    case 't':
		printf("Input a triplet format matrix:\n");
		creadtriple(&m, &n, &nnz, &a, &asub, &xa);
		break;
	    default:
		printf("Unrecognized format.\n");
		return 0;
	}
    }

    cCreate_CompCol_Matrix(&A, m, n, nnz, a, asub, xa, SLU_NC, SLU_C, SLU_GE);
    Astore = A.Store;
    cfill_diag(n, Astore);
    printf("Dimension %dx%d; # nonzeros %d\n", A.nrow, A.ncol, Astore->nnz);
    fflush(stdout);

    if ( !(rhsb = complexMalloc(m * nrhs)) ) ABORT("Malloc fails for rhsb[].");
    if ( !(rhsx = complexMalloc(m * nrhs)) ) ABORT("Malloc fails for rhsx[].");
    cCreate_Dense_Matrix(&B, m, nrhs, rhsb, m, SLU_DN, SLU_C, SLU_GE);
    cCreate_Dense_Matrix(&X, m, nrhs, rhsx, m, SLU_DN, SLU_C, SLU_GE);
    xact = complexMalloc(n * nrhs);
    ldx = n;
    cGenXtrue(n, nrhs, xact, ldx);
    cFillRHS(trans, nrhs, xact, ldx, &A, &B);

    if ( !(etree = intMalloc(n)) ) ABORT("Malloc fails for etree[].");
    if ( !(perm_r = intMalloc(m)) ) ABORT("Malloc fails for perm_r[].");
    if ( !(perm_c = intMalloc(n)) ) ABORT("Malloc fails for perm_c[].");
    if ( !(R = (float *) SUPERLU_MALLOC(A.nrow * sizeof(float))) )
	ABORT("SUPERLU_MALLOC fails for R[].");
    if ( !(C = (float *) SUPERLU_MALLOC(A.ncol * sizeof(float))) )
	ABORT("SUPERLU_MALLOC fails for C[].");

    info = 0;
#ifdef DEBUG
    num_drop_L = 0;
    num_drop_U = 0;
#endif

    /* Initialize the statistics variables. */
    StatInit(&stat);

    /* Compute the incomplete factorization and compute the condition number
       and pivot growth using dgsisx. */
    cgsisx(&options, &A, perm_c, perm_r, etree, equed, R, C, &L, &U, work,
	   lwork, &B, &X, &rpg, &rcond, &mem_usage, &stat, &info);

    Lstore = (SCformat *) L.Store;
    Ustore = (NCformat *) U.Store;
    printf("cgsisx(): info %d\n", info);
    if (info > 0 || rcond < 1e-8 || rpg > 1e8)
	printf("WARNING: This preconditioner might be unstable.\n");

    if ( info == 0 || info == n+1 ) {

	if ( options.PivotGrowth == YES )
	    printf("Recip. pivot growth = %e\n", rpg);
	if ( options.ConditionNumber == YES )
	    printf("Recip. condition number = %e\n", rcond);

    } else if ( info > 0 && lwork == -1 ) {
	printf("** Estimated memory: %d bytes\n", info - n);
    }
    printf("n(A) = %d, nnz(A) = %d\n", n, Astore->nnz);
    printf("No of nonzeros in factor L = %d\n", Lstore->nnz);
    printf("No of nonzeros in factor U = %d\n", Ustore->nnz);
    printf("No of nonzeros in L+U = %d\n", Lstore->nnz + Ustore->nnz - n);
    printf("Fill ratio: nnz(F)/nnz(A) = %.3f\n",
	    ((double)(Lstore->nnz) + (double)(Ustore->nnz) - (double)n)
	    / (double)Astore->nnz);
    printf("L\\U MB %.3f\ttotal MB needed %.3f\n",
	   mem_usage.for_lu/1e6, mem_usage.total_needed/1e6);
    fflush(stdout);

    /* Set the global variables. */
    GLOBAL_A = &A;
    GLOBAL_L = &L;
    GLOBAL_U = &U;
    GLOBAL_STAT = &stat;
    GLOBAL_PERM_C = perm_c;
    GLOBAL_PERM_R = perm_r;

    /* Set the variables used by GMRES. */
    restrt = SUPERLU_MIN(n / 3 + 1, 50);
    maxit = 1000;
    iter = maxit;
    resid = 1e-8;
    if (!(b = complexMalloc(m))) ABORT("Malloc fails for b[].");
    if (!(x = complexMalloc(n))) ABORT("Malloc fails for x[].");
    sp_cgemv("N", one, &A, xact, 1, zero, b, 1);

    if (info <= n + 1)
    {
	int i_1 = 1;
	double maxferr = 0.0, nrmA, nrmB, res, t;
        complex temp;
	extern float scnrm2_(int *, complex [], int *);
	extern void caxpy_(int *, complex *, complex [], int *, complex [], int *);

	/* Call GMRES. */
	/*double *sol = (double*) ((DNformat*) X.Store)->nzval;
	for (i = 0; i < n; i++) x[i] = sol[i];*/
	for (i = 0; i < n; i++) x[i] = zero;

	t = SuperLU_timer_();

	cfgmr(n, cmatvec_mult, cpsolve, b, x, resid, restrt, &iter, stdout);

	t = SuperLU_timer_() - t;

	/* Output the result. */
	nrmA = scnrm2_(&(Astore->nnz), (complex *)((DNformat *)A.Store)->nzval,
		&i_1);
	nrmB = scnrm2_(&m, b, &i_1);
	sp_cgemv("N", none, &A, x, 1, one, b, 1);
	res = scnrm2_(&m, b, &i_1);
	resid = res / nrmB;
	printf("||A||_F = %.1e, ||B||_2 = %.1e, ||B-A*X||_2 = %.1e, "
		"relres = %.1e\n", nrmA, nrmB, res, resid);

	if (iter >= maxit)
	{
	    if (resid >= 1.0) iter = -180;
	    else if (resid > 1e-8) iter = -111;
	}
	printf("iteration: %d\nresidual: %.1e\nGMRES time: %.2f seconds.\n",
		iter, resid, t);

	for (i = 0; i < m; i++)
            c_sub(&temp, &x[i], &xact[i]);
            maxferr = SUPERLU_MAX(maxferr, c_abs1(&temp));
	printf("||X-X_true||_oo = %.1e\n", maxferr);
    }
#ifdef DEBUG
    printf("%d entries in L and %d entries in U dropped.\n",
	    num_drop_L, num_drop_U);
#endif
    fflush(stdout);

    if ( options.PrintStat ) StatPrint(&stat);
    StatFree(&stat);

    SUPERLU_FREE (rhsb);
    SUPERLU_FREE (rhsx);
    SUPERLU_FREE (xact);
    SUPERLU_FREE (etree);
    SUPERLU_FREE (perm_r);
    SUPERLU_FREE (perm_c);
    SUPERLU_FREE (R);
    SUPERLU_FREE (C);
    Destroy_CompCol_Matrix(&A);
    Destroy_SuperMatrix_Store(&B);
    Destroy_SuperMatrix_Store(&X);
    if ( lwork >= 0 ) {
	Destroy_SuperNode_Matrix(&L);
	Destroy_CompCol_Matrix(&U);
    }
    SUPERLU_FREE(b);
    SUPERLU_FREE(x);

#if ( DEBUGlevel>=1 )
    CHECK_MALLOC("Exit main()");
#endif

    return 0;
}
예제 #3
0
파일: clinsol.c 프로젝트: copies/superlu
int main(int argc, char *argv[])
{
    SuperMatrix A;
    NCformat *Astore;
    complex   *a;
    int      *asub, *xa;
    int      *perm_c; /* column permutation vector */
    int      *perm_r; /* row permutations from partial pivoting */
    SuperMatrix L;      /* factor L */
    SCformat *Lstore;
    SuperMatrix U;      /* factor U */
    NCformat *Ustore;
    SuperMatrix B;
    int      nrhs, ldx, info, m, n, nnz;
    complex   *xact, *rhs;
    mem_usage_t   mem_usage;
    superlu_options_t options;
    SuperLUStat_t stat;
    FILE      *fp = stdin;
    
#if ( DEBUGlevel>=1 )
    CHECK_MALLOC("Enter main()");
#endif

    /* Set the default input options:
	options.Fact = DOFACT;
        options.Equil = YES;
    	options.ColPerm = COLAMD;
	options.DiagPivotThresh = 1.0;
    	options.Trans = NOTRANS;
    	options.IterRefine = NOREFINE;
    	options.SymmetricMode = NO;
    	options.PivotGrowth = NO;
    	options.ConditionNumber = NO;
    	options.PrintStat = YES;
     */
    set_default_options(&options);

    /* Read the matrix in Harwell-Boeing format. */
    creadhb(fp, &m, &n, &nnz, &a, &asub, &xa);

    cCreate_CompCol_Matrix(&A, m, n, nnz, a, asub, xa, SLU_NC, SLU_C, SLU_GE);
    Astore = A.Store;
    printf("Dimension %dx%d; # nonzeros %d\n", A.nrow, A.ncol, Astore->nnz);
    
    nrhs   = 1;
    if ( !(rhs = complexMalloc(m * nrhs)) ) ABORT("Malloc fails for rhs[].");
    cCreate_Dense_Matrix(&B, m, nrhs, rhs, m, SLU_DN, SLU_C, SLU_GE);
    xact = complexMalloc(n * nrhs);
    ldx = n;
    cGenXtrue(n, nrhs, xact, ldx);
    cFillRHS(options.Trans, nrhs, xact, ldx, &A, &B);

    if ( !(perm_c = intMalloc(n)) ) ABORT("Malloc fails for perm_c[].");
    if ( !(perm_r = intMalloc(m)) ) ABORT("Malloc fails for perm_r[].");

    /* Initialize the statistics variables. */
    StatInit(&stat);
    
    cgssv(&options, &A, perm_c, perm_r, &L, &U, &B, &stat, &info);
    
    if ( info == 0 ) {

	/* This is how you could access the solution matrix. */
        complex *sol = (complex*) ((DNformat*) B.Store)->nzval; 

	 /* Compute the infinity norm of the error. */
	cinf_norm_error(nrhs, &B, xact);

	Lstore = (SCformat *) L.Store;
	Ustore = (NCformat *) U.Store;
    	printf("No of nonzeros in factor L = %d\n", Lstore->nnz);
    	printf("No of nonzeros in factor U = %d\n", Ustore->nnz);
    	printf("No of nonzeros in L+U = %d\n", Lstore->nnz + Ustore->nnz - n);
    	printf("FILL ratio = %.1f\n", (float)(Lstore->nnz + Ustore->nnz - n)/nnz);
	
	cQuerySpace(&L, &U, &mem_usage);
	printf("L\\U MB %.3f\ttotal MB needed %.3f\n",
	       mem_usage.for_lu/1e6, mem_usage.total_needed/1e6);
	
    } else {
	printf("cgssv() error returns INFO= %d\n", info);
	if ( info <= n ) { /* factorization completes */
	    cQuerySpace(&L, &U, &mem_usage);
	    printf("L\\U MB %.3f\ttotal MB needed %.3f\n",
		   mem_usage.for_lu/1e6, mem_usage.total_needed/1e6);
	}
    }

    if ( options.PrintStat ) StatPrint(&stat);
    StatFree(&stat);

    SUPERLU_FREE (rhs);
    SUPERLU_FREE (xact);
    SUPERLU_FREE (perm_r);
    SUPERLU_FREE (perm_c);
    Destroy_CompCol_Matrix(&A);
    Destroy_SuperMatrix_Store(&B);
    Destroy_SuperNode_Matrix(&L);
    Destroy_CompCol_Matrix(&U);

#if ( DEBUGlevel>=1 )
    CHECK_MALLOC("Exit main()");
#endif
}
예제 #4
0
main(int argc, char *argv[])
{
    char           fact[1], equed[1], trans[1], refact[1];
    SuperMatrix  A, L, U;
    SuperMatrix  B, X;
    NCformat       *Astore;
    NCformat       *Ustore;
    SCformat       *Lstore;
    complex         *a;
    int            *asub, *xa;
    int            *perm_r; /* row permutations from partial pivoting */
    int            *perm_c; /* column permutation vector */
    int            *etree;
    void           *work;
    factor_param_t iparam;
    int            info, lwork, nrhs, ldx, panel_size, relax;
    int            m, n, nnz, permc_spec;
    complex         *rhsb, *rhsx, *xact;
    float         *R, *C;
    float         *ferr, *berr;
    float         u, rpg, rcond;
    int            i, firstfact;
    mem_usage_t    mem_usage;
    void    parse_command_line();

    /* Defaults */
    lwork = 0;
    *fact      = 'E';
    *equed     = 'N';
    *trans     = 'N';
    *refact    = 'N';
    nrhs       = 1;
    panel_size = sp_ienv(1);
    relax      = sp_ienv(2);
    u          = 1.0;
    parse_command_line(argc, argv, &lwork, &panel_size, &relax, &u,
		       fact, trans, refact);
    firstfact = lsame_(fact, "F") || lsame_(refact, "Y");

    iparam.panel_size        = panel_size;
    iparam.relax             = relax;
    iparam.diag_pivot_thresh = u;
    iparam.drop_tol          = -1;
    
    if ( lwork > 0 ) {
	work = SUPERLU_MALLOC(lwork);
	if ( !work ) {
	    ABORT("CLINSOLX: cannot allocate work[]");
	}
    }

    
    creadhb(&m, &n, &nnz, &a, &asub, &xa);
    
    cCreate_CompCol_Matrix(&A, m, n, nnz, a, asub, xa, SLU_NC, SLU_C, SLU_GE);
    Astore = A.Store;
    printf("Dimension %dx%d; # nonzeros %d\n", A.nrow, A.ncol, Astore->nnz);
    
    if ( !(rhsb = complexMalloc(m * nrhs)) ) ABORT("Malloc fails for rhsb[].");
    if ( !(rhsx = complexMalloc(m * nrhs)) ) ABORT("Malloc fails for rhsx[].");
    cCreate_Dense_Matrix(&B, m, nrhs, rhsb, m, SLU_DN, SLU_C, SLU_GE);
    cCreate_Dense_Matrix(&X, m, nrhs, rhsx, m, SLU_DN, SLU_C, SLU_GE);
    xact = complexMalloc(n * nrhs);
    ldx = n;
    cGenXtrue(n, nrhs, xact, ldx);
    cFillRHS(trans, nrhs, xact, ldx, &A, &B);
    
    if ( !(etree = intMalloc(n)) ) ABORT("Malloc fails for etree[].");
    if ( !(perm_r = intMalloc(m)) ) ABORT("Malloc fails for perm_r[].");
    if ( !(perm_c = intMalloc(n)) ) ABORT("Malloc fails for perm_c[].");

    /*
     * Get column permutation vector perm_c[], according to permc_spec:
     *   permc_spec = 0: natural ordering 
     *   permc_spec = 1: minimum degree on structure of A'*A
     *   permc_spec = 2: minimum degree on structure of A'+A
     *   permc_spec = 3: approximate minimum degree for unsymmetric matrices
     */    	
    permc_spec = 1;
    get_perm_c(permc_spec, &A, perm_c);

    if ( !(R = (float *) SUPERLU_MALLOC(A.nrow * sizeof(float))) ) 
        ABORT("SUPERLU_MALLOC fails for R[].");
    if ( !(C = (float *) SUPERLU_MALLOC(A.ncol * sizeof(float))) )
        ABORT("SUPERLU_MALLOC fails for C[].");
    if ( !(ferr = (float *) SUPERLU_MALLOC(nrhs * sizeof(float))) )
        ABORT("SUPERLU_MALLOC fails for ferr[].");
    if ( !(berr = (float *) SUPERLU_MALLOC(nrhs * sizeof(float))) ) 
        ABORT("SUPERLU_MALLOC fails for berr[].");

    
    /* Solve the system and compute the condition number
       and error bounds using dgssvx.      */
    
    cgssvx(fact, trans, refact, &A, &iparam, perm_c, perm_r, etree,
	   equed, R, C, &L, &U, work, lwork, &B, &X, &rpg, &rcond,
	   ferr, berr, &mem_usage, &info);

    printf("cgssvx(): info %d\n", info);

    if ( info == 0 || info == n+1 ) {

	printf("Recip. pivot growth = %e\n", rpg);
	printf("Recip. condition number = %e\n", rcond);
	printf("%8s%16s%16s\n", "rhs", "FERR", "BERR");
	for (i = 0; i < nrhs; ++i) {
	    printf("%8d%16e%16e\n", i+1, ferr[i], berr[i]);
	}
	       
        Lstore = (SCformat *) L.Store;
        Ustore = (NCformat *) U.Store;
	printf("No of nonzeros in factor L = %d\n", Lstore->nnz);
    	printf("No of nonzeros in factor U = %d\n", Ustore->nnz);
    	printf("No of nonzeros in L+U = %d\n", Lstore->nnz + Ustore->nnz - n);
	printf("L\\U MB %.3f\ttotal MB needed %.3f\texpansions %d\n",
	       mem_usage.for_lu/1e6, mem_usage.total_needed/1e6,
	       mem_usage.expansions);
	     
	fflush(stdout);

    } else if ( info > 0 && lwork == -1 ) {
        printf("** Estimated memory: %d bytes\n", info - n);
    }

    SUPERLU_FREE (rhsb);
    SUPERLU_FREE (rhsx);
    SUPERLU_FREE (xact);
    SUPERLU_FREE (etree);
    SUPERLU_FREE (perm_r);
    SUPERLU_FREE (perm_c);
    SUPERLU_FREE (R);
    SUPERLU_FREE (C);
    SUPERLU_FREE (ferr);
    SUPERLU_FREE (berr);
    Destroy_CompCol_Matrix(&A);
    Destroy_SuperMatrix_Store(&B);
    Destroy_SuperMatrix_Store(&X);
    if ( lwork >= 0 ) {
        Destroy_SuperNode_Matrix(&L);
        Destroy_CompCol_Matrix(&U);
    }
}
예제 #5
0
main(int argc, char *argv[])
{
/* 
 * Purpose
 * =======
 *
 * CDRIVE is the main test program for the COMPLEX linear 
 * equation driver routines CGSSV and CGSSVX.
 * 
 * The program is invoked by a shell script file -- ctest.csh.
 * The output from the tests are written into a file -- ctest.out.
 *
 * =====================================================================
 */
    complex         *a, *a_save;
    int            *asub, *asub_save;
    int            *xa, *xa_save;
    SuperMatrix  A, B, X, L, U;
    SuperMatrix  ASAV, AC;
    GlobalLU_t   Glu; /* Not needed on return. */
    mem_usage_t    mem_usage;
    int            *perm_r; /* row permutation from partial pivoting */
    int            *perm_c, *pc_save; /* column permutation */
    int            *etree;
    complex  zero = {0.0, 0.0};
    float         *R, *C;
    float         *ferr, *berr;
    float         *rwork;
    complex	   *wwork;
    void           *work;
    int            info, lwork, nrhs, panel_size, relax;
    int            m, n, nnz;
    complex         *xact;
    complex         *rhsb, *solx, *bsav;
    int            ldb, ldx;
    float         rpg, rcond;
    int            i, j, k1;
    float         rowcnd, colcnd, amax;
    int            maxsuper, rowblk, colblk;
    int            prefact, nofact, equil, iequed;
    int            nt, nrun, nfail, nerrs, imat, fimat, nimat;
    int            nfact, ifact, itran;
    int            kl, ku, mode, lda;
    int            zerot, izero, ioff;
    double         u;
    float         anorm, cndnum;
    complex         *Afull;
    float         result[NTESTS];
    superlu_options_t options;
    fact_t         fact;
    trans_t        trans;
    SuperLUStat_t  stat;
    static char    matrix_type[8];
    static char    equed[1], path[4], sym[1], dist[1];
    FILE           *fp;

    /* Fixed set of parameters */
    int            iseed[]  = {1988, 1989, 1990, 1991};
    static char    equeds[]  = {'N', 'R', 'C', 'B'};
    static fact_t  facts[] = {FACTORED, DOFACT, SamePattern,
			      SamePattern_SameRowPerm};
    static trans_t transs[]  = {NOTRANS, TRANS, CONJ};

    /* Some function prototypes */ 
    extern int cgst01(int, int, SuperMatrix *, SuperMatrix *, 
		      SuperMatrix *, int *, int *, float *);
    extern int cgst02(trans_t, int, int, int, SuperMatrix *, complex *,
                      int, complex *, int, float *resid);
    extern int cgst04(int, int, complex *, int, 
                      complex *, int, float rcond, float *resid);
    extern int cgst07(trans_t, int, int, SuperMatrix *, complex *, int,
                         complex *, int, complex *, int, 
                         float *, float *, float *);
    extern int clatb4_(char *, int *, int *, int *, char *, int *, int *, 
	               float *, int *, float *, char *);
    extern int clatms_(int *, int *, char *, int *, char *, float *d,
                       int *, float *, float *, int *, int *,
                       char *, complex *, int *, complex *, int *);
    extern int sp_cconvert(int, int, complex *, int, int, int,
	                   complex *a, int *, int *, int *);


    /* Executable statements */

    strcpy(path, "CGE");
    nrun  = 0;
    nfail = 0;
    nerrs = 0;

    /* Defaults */
    lwork      = 0;
    n          = 1;
    nrhs       = 1;
    panel_size = sp_ienv(1);
    relax      = sp_ienv(2);
    u          = 1.0;
    strcpy(matrix_type, "LA");
    parse_command_line(argc, argv, matrix_type, &n,
		       &panel_size, &relax, &nrhs, &maxsuper,
		       &rowblk, &colblk, &lwork, &u, &fp);
    if ( lwork > 0 ) {
	work = SUPERLU_MALLOC(lwork);
	if ( !work ) {
	    fprintf(stderr, "expert: cannot allocate %d bytes\n", lwork);
	    exit (-1);
	}
    }

    /* Set the default input options. */
    set_default_options(&options);
    options.DiagPivotThresh = u;
    options.PrintStat = NO;
    options.PivotGrowth = YES;
    options.ConditionNumber = YES;
    options.IterRefine = SLU_SINGLE;
    
    if ( strcmp(matrix_type, "LA") == 0 ) {
	/* Test LAPACK matrix suite. */
	m = n;
	lda = SUPERLU_MAX(n, 1);
	nnz = n * n;        /* upper bound */
	fimat = 1;
	nimat = NTYPES;
	Afull = complexCalloc(lda * n);
	callocateA(n, nnz, &a, &asub, &xa);
    } else {
	/* Read a sparse matrix */
	fimat = nimat = 0;
	creadhb(fp, &m, &n, &nnz, &a, &asub, &xa);
    }

    callocateA(n, nnz, &a_save, &asub_save, &xa_save);
    rhsb = complexMalloc(m * nrhs);
    bsav = complexMalloc(m * nrhs);
    solx = complexMalloc(n * nrhs);
    ldb  = m;
    ldx  = n;
    cCreate_Dense_Matrix(&B, m, nrhs, rhsb, ldb, SLU_DN, SLU_C, SLU_GE);
    cCreate_Dense_Matrix(&X, n, nrhs, solx, ldx, SLU_DN, SLU_C, SLU_GE);
    xact = complexMalloc(n * nrhs);
    etree   = intMalloc(n);
    perm_r  = intMalloc(n);
    perm_c  = intMalloc(n);
    pc_save = intMalloc(n);
    R       = (float *) SUPERLU_MALLOC(m*sizeof(float));
    C       = (float *) SUPERLU_MALLOC(n*sizeof(float));
    ferr    = (float *) SUPERLU_MALLOC(nrhs*sizeof(float));
    berr    = (float *) SUPERLU_MALLOC(nrhs*sizeof(float));
    j = SUPERLU_MAX(m,n) * SUPERLU_MAX(4,nrhs);    
    rwork   = (float *) SUPERLU_MALLOC(j*sizeof(float));
    for (i = 0; i < j; ++i) rwork[i] = 0.;
    if ( !R ) ABORT("SUPERLU_MALLOC fails for R");
    if ( !C ) ABORT("SUPERLU_MALLOC fails for C");
    if ( !ferr ) ABORT("SUPERLU_MALLOC fails for ferr");
    if ( !berr ) ABORT("SUPERLU_MALLOC fails for berr");
    if ( !rwork ) ABORT("SUPERLU_MALLOC fails for rwork");
    wwork   = complexCalloc( SUPERLU_MAX(m,n) * SUPERLU_MAX(4,nrhs) );

    for (i = 0; i < n; ++i) perm_c[i] = pc_save[i] = i;
    options.ColPerm = MY_PERMC;

    for (imat = fimat; imat <= nimat; ++imat) { /* All matrix types */
	
	if ( imat ) {

	    /* Skip types 5, 6, or 7 if the matrix size is too small. */
	    zerot = (imat >= 5 && imat <= 7);
	    if ( zerot && n < imat-4 )
		continue;
	    
	    /* Set up parameters with CLATB4 and generate a test matrix
	       with CLATMS.  */
	    clatb4_(path, &imat, &n, &n, sym, &kl, &ku, &anorm, &mode,
		    &cndnum, dist);

	    clatms_(&n, &n, dist, iseed, sym, &rwork[0], &mode, &cndnum,
		    &anorm, &kl, &ku, "No packing", Afull, &lda,
		    &wwork[0], &info);

	    if ( info ) {
		printf(FMT3, "CLATMS", info, izero, n, nrhs, imat, nfail);
		continue;
	    }

	    /* For types 5-7, zero one or more columns of the matrix
	       to test that INFO is returned correctly.   */
	    if ( zerot ) {
		if ( imat == 5 ) izero = 1;
		else if ( imat == 6 ) izero = n;
		else izero = n / 2 + 1;
		ioff = (izero - 1) * lda;
		if ( imat < 7 ) {
		    for (i = 0; i < n; ++i) Afull[ioff + i] = zero;
		} else {
		    for (j = 0; j < n - izero + 1; ++j)
			for (i = 0; i < n; ++i)
			    Afull[ioff + i + j*lda] = zero;
		}
	    } else {
		izero = 0;
	    }

	    /* Convert to sparse representation. */
	    sp_cconvert(n, n, Afull, lda, kl, ku, a, asub, xa, &nnz);

	} else {
	    izero = 0;
	    zerot = 0;
	}
	
	cCreate_CompCol_Matrix(&A, m, n, nnz, a, asub, xa, SLU_NC, SLU_C, SLU_GE);

	/* Save a copy of matrix A in ASAV */
	cCreate_CompCol_Matrix(&ASAV, m, n, nnz, a_save, asub_save, xa_save,
			      SLU_NC, SLU_C, SLU_GE);
	cCopy_CompCol_Matrix(&A, &ASAV);
	
	/* Form exact solution. */
	cGenXtrue(n, nrhs, xact, ldx);
	
	StatInit(&stat);

	for (iequed = 0; iequed < 4; ++iequed) {
	    *equed = equeds[iequed];
	    if (iequed == 0) nfact = 4;
	    else nfact = 1; /* Only test factored, pre-equilibrated matrix */

	    for (ifact = 0; ifact < nfact; ++ifact) {
		fact = facts[ifact];
		options.Fact = fact;

		for (equil = 0; equil < 2; ++equil) {
		    options.Equil = equil;
		    prefact   = ( options.Fact == FACTORED ||
				  options.Fact == SamePattern_SameRowPerm );
                                /* Need a first factor */
		    nofact    = (options.Fact != FACTORED);  /* Not factored */

		    /* Restore the matrix A. */
		    cCopy_CompCol_Matrix(&ASAV, &A);
			
		    if ( zerot ) {
                        if ( prefact ) continue;
		    } else if ( options.Fact == FACTORED ) {
                        if ( equil || iequed ) {
			    /* Compute row and column scale factors to
			       equilibrate matrix A.    */
			    cgsequ(&A, R, C, &rowcnd, &colcnd, &amax, &info);

			    /* Force equilibration. */
			    if ( !info && n > 0 ) {
				if ( lsame_(equed, "R") ) {
				    rowcnd = 0.;
				    colcnd = 1.;
				} else if ( lsame_(equed, "C") ) {
				    rowcnd = 1.;
				    colcnd = 0.;
				} else if ( lsame_(equed, "B") ) {
				    rowcnd = 0.;
				    colcnd = 0.;
				}
			    }
			
			    /* Equilibrate the matrix. */
			    claqgs(&A, R, C, rowcnd, colcnd, amax, equed);
			}
		    }
		    
		    if ( prefact ) { /* Need a factor for the first time */
			
		        /* Save Fact option. */
		        fact = options.Fact;
			options.Fact = DOFACT;

			/* Preorder the matrix, obtain the column etree. */
			sp_preorder(&options, &A, perm_c, etree, &AC);

			/* Factor the matrix AC. */
			cgstrf(&options, &AC, relax, panel_size,
                               etree, work, lwork, perm_c, perm_r, &L, &U,
                               &Glu, &stat, &info);

			if ( info ) { 
                            printf("** First factor: info %d, equed %c\n",
				   info, *equed);
                            if ( lwork == -1 ) {
                                printf("** Estimated memory: %d bytes\n",
                                        info - n);
                                exit(0);
                            }
                        }
	
                        Destroy_CompCol_Permuted(&AC);
			
		        /* Restore Fact option. */
			options.Fact = fact;
		    } /* if .. first time factor */
		    
		    for (itran = 0; itran < NTRAN; ++itran) {
			trans = transs[itran];
                        options.Trans = trans;

			/* Restore the matrix A. */
			cCopy_CompCol_Matrix(&ASAV, &A);
			
 			/* Set the right hand side. */
			cFillRHS(trans, nrhs, xact, ldx, &A, &B);
			cCopy_Dense_Matrix(m, nrhs, rhsb, ldb, bsav, ldb);

			/*----------------
			 * Test cgssv
			 *----------------*/
			if ( options.Fact == DOFACT && itran == 0) {
                            /* Not yet factored, and untransposed */
	
			    cCopy_Dense_Matrix(m, nrhs, rhsb, ldb, solx, ldx);
			    cgssv(&options, &A, perm_c, perm_r, &L, &U, &X,
                                  &stat, &info);
			    
			    if ( info && info != izero ) {
                                printf(FMT3, "cgssv",
				       info, izero, n, nrhs, imat, nfail);
			    } else {
                                /* Reconstruct matrix from factors and
	                           compute residual. */
                                cgst01(m, n, &A, &L, &U, perm_c, perm_r,
                                         &result[0]);
				nt = 1;
				if ( izero == 0 ) {
				    /* Compute residual of the computed
				       solution. */
				    cCopy_Dense_Matrix(m, nrhs, rhsb, ldb,
						       wwork, ldb);
				    cgst02(trans, m, n, nrhs, &A, solx,
                                              ldx, wwork,ldb, &result[1]);
				    nt = 2;
				}
				
				/* Print information about the tests that
				   did not pass the threshold.      */
				for (i = 0; i < nt; ++i) {
				    if ( result[i] >= THRESH ) {
					printf(FMT1, "cgssv", n, i,
					       result[i]);
					++nfail;
				    }
				}
				nrun += nt;
			    } /* else .. info == 0 */

			    /* Restore perm_c. */
			    for (i = 0; i < n; ++i) perm_c[i] = pc_save[i];

		            if (lwork == 0) {
			        Destroy_SuperNode_Matrix(&L);
			        Destroy_CompCol_Matrix(&U);
			    }
			} /* if .. end of testing cgssv */
    
			/*----------------
			 * Test cgssvx
			 *----------------*/
    
			/* Equilibrate the matrix if fact = FACTORED and
			   equed = 'R', 'C', or 'B'.   */
			if ( options.Fact == FACTORED &&
			     (equil || iequed) && n > 0 ) {
			    claqgs(&A, R, C, rowcnd, colcnd, amax, equed);
			}
			
			/* Solve the system and compute the condition number
			   and error bounds using cgssvx.      */
			cgssvx(&options, &A, perm_c, perm_r, etree,
                               equed, R, C, &L, &U, work, lwork, &B, &X, &rpg,
                               &rcond, ferr, berr, &Glu,
			       &mem_usage, &stat, &info);

			if ( info && info != izero ) {
			    printf(FMT3, "cgssvx",
				   info, izero, n, nrhs, imat, nfail);
                            if ( lwork == -1 ) {
                                printf("** Estimated memory: %.0f bytes\n",
                                        mem_usage.total_needed);
                                exit(0);
                            }
			} else {
			    if ( !prefact ) {
			    	/* Reconstruct matrix from factors and
	 			   compute residual. */
                                cgst01(m, n, &A, &L, &U, perm_c, perm_r,
                                         &result[0]);
				k1 = 0;
			    } else {
			   	k1 = 1;
			    }

			    if ( !info ) {
				/* Compute residual of the computed solution.*/
				cCopy_Dense_Matrix(m, nrhs, bsav, ldb,
						  wwork, ldb);
				cgst02(trans, m, n, nrhs, &ASAV, solx, ldx,
					  wwork, ldb, &result[1]);

				/* Check solution from generated exact
				   solution. */
				cgst04(n, nrhs, solx, ldx, xact, ldx, rcond,
					  &result[2]);

				/* Check the error bounds from iterative
				   refinement. */
				cgst07(trans, n, nrhs, &ASAV, bsav, ldb,
					  solx, ldx, xact, ldx, ferr, berr,
					  &result[3]);

				/* Print information about the tests that did
				   not pass the threshold.    */
				for (i = k1; i < NTESTS; ++i) {
				    if ( result[i] >= THRESH ) {
					printf(FMT2, "cgssvx",
					       options.Fact, trans, *equed,
					       n, imat, i, result[i]);
					++nfail;
				    }
				}
				nrun += NTESTS;
			    } /* if .. info == 0 */
			} /* else .. end of testing cgssvx */

		    } /* for itran ... */

		    if ( lwork == 0 ) {
			Destroy_SuperNode_Matrix(&L);
			Destroy_CompCol_Matrix(&U);
		    }

		} /* for equil ... */
	    } /* for ifact ... */
	} /* for iequed ... */
#if 0    
    if ( !info ) {
	PrintPerf(&L, &U, &mem_usage, rpg, rcond, ferr, berr, equed);
    }
#endif
        Destroy_SuperMatrix_Store(&A);
        Destroy_SuperMatrix_Store(&ASAV);
        StatFree(&stat);

    } /* for imat ... */

    /* Print a summary of the results. */
    PrintSumm("CGE", nfail, nrun, nerrs);

    if ( strcmp(matrix_type, "LA") == 0 ) SUPERLU_FREE (Afull);
    SUPERLU_FREE (rhsb);
    SUPERLU_FREE (bsav);
    SUPERLU_FREE (solx);    
    SUPERLU_FREE (xact);
    SUPERLU_FREE (etree);
    SUPERLU_FREE (perm_r);
    SUPERLU_FREE (perm_c);
    SUPERLU_FREE (pc_save);
    SUPERLU_FREE (R);
    SUPERLU_FREE (C);
    SUPERLU_FREE (ferr);
    SUPERLU_FREE (berr);
    SUPERLU_FREE (rwork);
    SUPERLU_FREE (wwork);
    Destroy_SuperMatrix_Store(&B);
    Destroy_SuperMatrix_Store(&X);
#if 0
    Destroy_CompCol_Matrix(&A);
    Destroy_CompCol_Matrix(&ASAV);
#else
    SUPERLU_FREE(a); SUPERLU_FREE(asub); SUPERLU_FREE(xa);
    SUPERLU_FREE(a_save); SUPERLU_FREE(asub_save); SUPERLU_FREE(xa_save);
#endif
    if ( lwork > 0 ) {
	SUPERLU_FREE (work);
	Destroy_SuperMatrix_Store(&L);
	Destroy_SuperMatrix_Store(&U);
    }

    return 0;
}