sgels.c

提供矩阵类的函数库

#include "blaswrap.h"
/*  -- translated by f2c (version 19990503).
   You must link the resulting object file with the libraries:
	-lf2c -lm   (in that order)
*/

#include "f2c.h"

/* Common Block Declarations */

struct {
    real opcnt[6], timng[6];
} lstime_;

#define lstime_1 lstime_

/* Table of constant values */

static integer c__1 = 1;
static integer c_n1 = -1;
static real c_b33 = 0.f;
static integer c__0 = 0;
static real c_b77 = 1.f;

/* Subroutine */ int sgels_(char *trans, integer *m, integer *n, integer *
	nrhs, real *a, integer *lda, real *b, integer *ldb, real *work, 
	integer *lwork, integer *info)
{
    /* Initialized data */

    static integer gelqf = 2;
    static integer gels = 1;
    static integer geqrf = 2;
    static integer ormlq = 3;
    static integer ormqr = 3;
    static integer trsm = 4;

    /* System generated locals */
    integer a_dim1, a_offset, b_dim1, b_offset, i__1, i__2;

    /* Local variables */
    static real anrm, bnrm;
    static integer brow;
    static logical tpsd;
    static integer i__, j, iascl, ibscl;
    extern logical lsame_(char *, char *);
    extern doublereal sopla_(char *, integer *, integer *, integer *, integer 
	    *, integer *);
    static integer wsize;
    static real rwork[1], t1, t2;
    extern /* Subroutine */ int strsm_(char *, char *, char *, char *, 
	    integer *, integer *, real *, real *, integer *, real *, integer *
	    );
    extern doublereal sopbl3_(char *, integer *, integer *, integer *)
	    ;
    static integer nb;
    extern /* Subroutine */ int slabad_(real *, real *);
    static integer mn;
    extern doublereal slamch_(char *), slange_(char *, integer *, 
	    integer *, real *, integer *, real *), second_(void);
    extern /* Subroutine */ int xerbla_(char *, integer *);
    extern integer ilaenv_(integer *, char *, char *, integer *, integer *, 
	    integer *, integer *, ftnlen, ftnlen);
    static integer scllen;
    static real bignum;
    extern /* Subroutine */ int sgelqf_(integer *, integer *, real *, integer 
	    *, real *, real *, integer *, integer *), slascl_(char *, integer 
	    *, integer *, real *, real *, integer *, integer *, real *, 
	    integer *, integer *), sgeqrf_(integer *, integer *, real 
	    *, integer *, real *, real *, integer *, integer *), slaset_(char 
	    *, integer *, integer *, real *, real *, real *, integer *);
    static real smlnum;
    extern /* Subroutine */ int sormlq_(char *, char *, integer *, integer *, 
	    integer *, real *, integer *, real *, real *, integer *, real *, 
	    integer *, integer *);
    static logical lquery;
    extern /* Subroutine */ int sormqr_(char *, char *, integer *, integer *, 
	    integer *, real *, integer *, real *, real *, integer *, real *, 
	    integer *, integer *);


#define b_ref(a_1,a_2) b[(a_2)*b_dim1 + a_1]


/*  -- LAPACK driver routine (instrumented to count ops, version 3.0) --   
       Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,   
       Courant Institute, Argonne National Lab, and Rice University   
       June 30, 1999   

       Common block to return operation count.   

    Purpose   
    =======   

    SGELS solves overdetermined or underdetermined real linear systems   
    involving an M-by-N matrix A, or its transpose, using a QR or LQ   
    factorization of A.  It is assumed that A has full rank.   

    The following options are provided:   

    1. If TRANS = 'N' and m >= n:  find the least squares solution of   
       an overdetermined system, i.e., solve the least squares problem   
                    minimize || B - A*X ||.   

    2. If TRANS = 'N' and m < n:  find the minimum norm solution of   
       an underdetermined system A * X = B.   

    3. If TRANS = 'T' and m >= n:  find the minimum norm solution of   
       an undetermined system A**T * X = B.   

    4. If TRANS = 'T' and m < n:  find the least squares solution of   
       an overdetermined system, i.e., solve the least squares problem   
                    minimize || B - A**T * X ||.   

    Several right hand side vectors b and solution vectors x can be   
    handled in a single call; they are stored as the columns of the   
    M-by-NRHS right hand side matrix B and the N-by-NRHS solution   
    matrix X.   

    Arguments   
    =========   

    TRANS   (input) CHARACTER   
            = 'N': the linear system involves A;   
            = 'T': the linear system involves A**T.   

    M       (input) INTEGER   
            The number of rows of the matrix A.  M >= 0.   

    N       (input) INTEGER   
            The number of columns of the matrix A.  N >= 0.   

    NRHS    (input) INTEGER   
            The number of right hand sides, i.e., the number of   
            columns of the matrices B and X. NRHS >=0.   

    A       (input/output) REAL array, dimension (LDA,N)   
            On entry, the M-by-N matrix A.   
            On exit,   
              if M >= N, A is overwritten by details of its QR   
                         factorization as returned by SGEQRF;   
              if M <  N, A is overwritten by details of its LQ   
                         factorization as returned by SGELQF.   

    LDA     (input) INTEGER   
            The leading dimension of the array A.  LDA >= max(1,M).   

    B       (input/output) REAL array, dimension (LDB,NRHS)   
            On entry, the matrix B of right hand side vectors, stored   
            columnwise; B is M-by-NRHS if TRANS = 'N', or N-by-NRHS   
            if TRANS = 'T'.   
            On exit, B is overwritten by the solution vectors, stored   
            columnwise:   
            if TRANS = 'N' and m >= n, rows 1 to n of B contain the least   
            squares solution vectors; the residual sum of squares for the   
            solution in each column is given by the sum of squares of   
            elements N+1 to M in that column;   
            if TRANS = 'N' and m < n, rows 1 to N of B contain the   
            minimum norm solution vectors;   
            if TRANS = 'T' and m >= n, rows 1 to M of B contain the   
            minimum norm solution vectors;   
            if TRANS = 'T' and m < n, rows 1 to M of B contain the   
            least squares solution vectors; the residual sum of squares   
            for the solution in each column is given by the sum of   
            squares of elements M+1 to N in that column.   

    LDB     (input) INTEGER   
            The leading dimension of the array B. LDB >= MAX(1,M,N).   

    WORK    (workspace/output) REAL array, dimension (LWORK)   
            On exit, if INFO = 0, WORK(1) returns the optimal LWORK.   

    LWORK   (input) INTEGER   
            The dimension of the array WORK.   
            LWORK >= max( 1, MN + max( MN, NRHS ) ).   
            For optimal performance,   
            LWORK >= max( 1, MN + max( MN, NRHS )*NB ).   
            where MN = min(M,N) and NB is the optimum block size.   

            If LWORK = -1, then a workspace query is assumed; the routine   
            only calculates the optimal size of the WORK array, returns   
            this value as the first entry of the WORK array, and no error   
            message related to LWORK is issued by XERBLA.   

    INFO    (output) INTEGER   
            = 0:  successful exit   
            < 0:  if INFO = -i, the i-th argument had an illegal value   

    =====================================================================   

       Parameter adjustments */
    a_dim1 = *lda;
    a_offset = 1 + a_dim1 * 1;
    a -= a_offset;
    b_dim1 = *ldb;
    b_offset = 1 + b_dim1 * 1;
    b -= b_offset;
    --work;

    /* Function Body   

       Test the input arguments. */

    *info = 0;
    mn = min(*m,*n);
    lquery = *lwork == -1;
    if (! (lsame_(trans, "N") || lsame_(trans, "T"))) {
	*info = -1;
    } else if (*m < 0) {
	*info = -2;
    } else if (*n < 0) {
	*info = -3;
    } else if (*nrhs < 0) {
	*info = -4;
    } else if (*lda < max(1,*m)) {
	*info = -6;
    } else /* if(complicated condition) */ {
/* Computing MAX */
	i__1 = max(1,*m);
	if (*ldb < max(i__1,*n)) {
	    *info = -8;
	} else /* if(complicated condition) */ {
/* Computing MAX */
	    i__1 = 1, i__2 = mn + max(mn,*nrhs);
	    if (*lwork < max(i__1,i__2) && ! lquery) {
		*info = -10;
	    }
	}
    }

/*     Figure out optimal block size */

    if (*info == 0 || *info == -10) {

	tpsd = TRUE_;
	if (lsame_(trans, "N")) {
	    tpsd = FALSE_;
	}

	if (*m >= *n) {
	    nb = ilaenv_(&c__1, "SGEQRF", " ", m, n, &c_n1, &c_n1, (ftnlen)6, 
		    (ftnlen)1);
	    if (tpsd) {
/* Computing MAX */
		i__1 = nb, i__2 = ilaenv_(&c__1, "SORMQR", "LN", m, nrhs, n, &
			c_n1, (ftnlen)6, (ftnlen)2);
		nb = max(i__1,i__2);
	    } else {
/* Computing MAX */
		i__1 = nb, i__2 = ilaenv_(&c__1, "SORMQR", "LT", m, nrhs, n, &
			c_n1, (ftnlen)6, (ftnlen)2);
		nb = max(i__1,i__2);
	    }
	} else {
	    nb = ilaenv_(&c__1, "SGELQF", " ", m, n, &c_n1, &c_n1, (ftnlen)6, 
		    (ftnlen)1);
	    if (tpsd) {
/* Computing MAX */
		i__1 = nb, i__2 = ilaenv_(&c__1, "SORMLQ", "LT", n, nrhs, m, &
			c_n1, (ftnlen)6, (ftnlen)2);
		nb = max(i__1,i__2);
	    } else {
/* Computing MAX */
		i__1 = nb, i__2 = ilaenv_(&c__1, "SORMLQ", "LN", n, nrhs, m, &
			c_n1, (ftnlen)6, (ftnlen)2);
		nb = max(i__1,i__2);
	    }
	}

/* Computing MAX */
	i__1 = 1, i__2 = mn + max(mn,*nrhs) * nb;
	wsize = max(i__1,i__2);
	work[1] = (real) wsize;

    }

    if (*info != 0) {
	i__1 = -(*info);
	xerbla_("SGELS ", &i__1);
	return 0;
    } else if (lquery) {
	return 0;
    }

/*     Quick return if possible