#include "blaswrap.h"
/* slsets.f -- translated by f2c (version 20061008).
   You must link the resulting object file with libf2c:
	on Microsoft Windows system, link with libf2c.lib;
	on Linux or Unix systems, link with .../path/to/libf2c.a -lm
	or, if you install libf2c.a in a standard place, with -lf2c -lm
	-- in that order, at the end of the command line, as in
		cc *.o -lf2c -lm
	Source for libf2c is in /netlib/f2c/libf2c.zip, e.g.,

		http://www.netlib.org/f2c/libf2c.zip
*/

#include "f2c.h"

/* Table of constant values */

static integer c__1 = 1;

/* Subroutine */ int slsets_(integer *m, integer *p, integer *n, real *a, 
	real *af, integer *lda, real *b, real *bf, integer *ldb, real *c__, 
	real *cf, real *d__, real *df, real *x, real *work, integer *lwork, 
	real *rwork, real *result)
{
    /* System generated locals */
    integer a_dim1, a_offset, af_dim1, af_offset, b_dim1, b_offset, bf_dim1, 
	    bf_offset;

    /* Local variables */
    static integer info;
    extern /* Subroutine */ int sget02_(char *, integer *, integer *, integer 
	    *, real *, integer *, real *, integer *, real *, integer *, real *
	    , real *), scopy_(integer *, real *, integer *, real *, 
	    integer *), sgglse_(integer *, integer *, integer *, real *, 
	    integer *, real *, integer *, real *, real *, real *, real *, 
	    integer *, integer *), slacpy_(char *, integer *, integer *, real 
	    *, integer *, real *, integer *);


/*  -- LAPACK test routine (version 3.1) --   
       Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd..   
       November 2006   


    Purpose   
    =======   

    SLSETS tests SGGLSE - a subroutine for solving linear equality   
    constrained least square problem (LSE).   

    Arguments   
    =========   

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

    P       (input) INTEGER   
            The number of rows of the matrix B.  P >= 0.   

    N       (input) INTEGER   
            The number of columns of the matrices A and B.  N >= 0.   

    A       (input) REAL array, dimension (LDA,N)   
            The M-by-N matrix A.   

    AF      (workspace) REAL array, dimension (LDA,N)   

    LDA     (input) INTEGER   
            The leading dimension of the arrays A, AF, Q and R.   
            LDA >= max(M,N).   

    B       (input) REAL array, dimension (LDB,N)   
            The P-by-N matrix A.   

    BF      (workspace) REAL array, dimension (LDB,N)   

    LDB     (input) INTEGER   
            The leading dimension of the arrays B, BF, V and S.   
            LDB >= max(P,N).   

    C       (input) REAL array, dimension( M )   
            the vector C in the LSE problem.   

    CF      (workspace) REAL array, dimension( M )   

    D       (input) REAL array, dimension( P )   
            the vector D in the LSE problem.   

    DF      (workspace) REAL array, dimension( P )   

    X       (output) REAL array, dimension( N )   
            solution vector X in the LSE problem.   

    WORK    (workspace) REAL array, dimension (LWORK)   

    LWORK   (input) INTEGER   
            The dimension of the array WORK.   

    RWORK   (workspace) REAL array, dimension (M)   

    RESULT  (output) REAL array, dimension (2)   
            The test ratios:   
              RESULT(1) = norm( A*x - c )/ norm(A)*norm(X)*EPS   
              RESULT(2) = norm( B*x - d )/ norm(B)*norm(X)*EPS   

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


       Copy the matrices A and B to the arrays AF and BF,   
       and the vectors C and D to the arrays CF and DF,   

       Parameter adjustments */
    af_dim1 = *lda;
    af_offset = 1 + af_dim1;
    af -= af_offset;
    a_dim1 = *lda;
    a_offset = 1 + a_dim1;
    a -= a_offset;
    bf_dim1 = *ldb;
    bf_offset = 1 + bf_dim1;
    bf -= bf_offset;
    b_dim1 = *ldb;
    b_offset = 1 + b_dim1;
    b -= b_offset;
    --c__;
    --cf;
    --d__;
    --df;
    --x;
    --work;
    --rwork;
    --result;

    /* Function Body */
    slacpy_("Full", m, n, &a[a_offset], lda, &af[af_offset], lda);
    slacpy_("Full", p, n, &b[b_offset], ldb, &bf[bf_offset], ldb);
    scopy_(m, &c__[1], &c__1, &cf[1], &c__1);
    scopy_(p, &d__[1], &c__1, &df[1], &c__1);

/*     Solve LSE problem */

    sgglse_(m, n, p, &af[af_offset], lda, &bf[bf_offset], ldb, &cf[1], &df[1],
	     &x[1], &work[1], lwork, &info);

/*     Test the residual for the solution of LSE   

       Compute RESULT(1) = norm( A*x - c ) / norm(A)*norm(X)*EPS */

    scopy_(m, &c__[1], &c__1, &cf[1], &c__1);
    scopy_(p, &d__[1], &c__1, &df[1], &c__1);
    sget02_("No transpose", m, n, &c__1, &a[a_offset], lda, &x[1], n, &cf[1], 
	    m, &rwork[1], &result[1]);

/*     Compute result(2) = norm( B*x - d ) / norm(B)*norm(X)*EPS */

    sget02_("No transpose", p, n, &c__1, &b[b_offset], ldb, &x[1], n, &df[1], 
	    p, &rwork[1], &result[2]);

    return 0;

/*     End of SLSETS */

} /* slsets_ */