#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 {
    doublereal ops, itcnt;
} latime_;

#define latime_1 latime_

/* Table of constant values */

static doublereal c_b3 = -1.;
static integer c__1 = 1;

/* Subroutine */ int dlaed2_(integer *k, integer *n, integer *n1, doublereal *
	d__, doublereal *q, integer *ldq, integer *indxq, doublereal *rho, 
	doublereal *z__, doublereal *dlamda, doublereal *w, doublereal *q2, 
	integer *indx, integer *indxc, integer *indxp, integer *coltyp, 
	integer *info)
{
    /* System generated locals */
    integer q_dim1, q_offset, i__1, i__2;
    doublereal d__1, d__2, d__3, d__4;

    /* Builtin functions */
    double sqrt(doublereal);

    /* Local variables */
    static integer imax, jmax;
    extern /* Subroutine */ int drot_(integer *, doublereal *, integer *, 
	    doublereal *, integer *, doublereal *, doublereal *);
    static integer ctot[4];
    static doublereal c__;
    static integer i__, j;
    static doublereal s, t;
    extern /* Subroutine */ int dscal_(integer *, doublereal *, doublereal *, 
	    integer *), dcopy_(integer *, doublereal *, integer *, doublereal 
	    *, integer *);
    static integer k2, n2;
    extern doublereal dlapy2_(doublereal *, doublereal *);
    static integer ct, nj;
    extern doublereal dlamch_(char *);
    static integer pj, js;
    extern integer idamax_(integer *, doublereal *, integer *);
    extern /* Subroutine */ int dlamrg_(integer *, integer *, doublereal *, 
	    integer *, integer *, integer *), dlacpy_(char *, integer *, 
	    integer *, doublereal *, integer *, doublereal *, integer *), xerbla_(char *, integer *);
    static integer iq1, iq2, n1p1;
    static doublereal eps, tau, tol;
    static integer psm[4];


#define q_ref(a_1,a_2) q[(a_2)*q_dim1 + a_1]


/*  -- LAPACK routine (version 3.0) --   
       Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,   
       Courant Institute, Argonne National Lab, and Rice University   
       October 31, 1999   

       Common block to return operation count and iteration count   
       ITCNT is unchanged, OPS is only incremented   

    Purpose   
    =======   

    DLAED2 merges the two sets of eigenvalues together into a single   
    sorted set.  Then it tries to deflate the size of the problem.   
    There are two ways in which deflation can occur:  when two or more   
    eigenvalues are close together or if there is a tiny entry in the   
    Z vector.  For each such occurrence the order of the related secular   
    equation problem is reduced by one.   

    Arguments   
    =========   

    K      (output) INTEGER   
           The number of non-deflated eigenvalues, and the order of the   
           related secular equation. 0 <= K <=N.   

    N      (input) INTEGER   
           The dimension of the symmetric tridiagonal matrix.  N >= 0.   

    N1     (input) INTEGER   
           The location of the last eigenvalue in the leading sub-matrix.   
           min(1,N) <= N1 <= N/2.   

    D      (input/output) DOUBLE PRECISION array, dimension (N)   
           On entry, D contains the eigenvalues of the two submatrices to   
           be combined.   
           On exit, D contains the trailing (N-K) updated eigenvalues   
           (those which were deflated) sorted into increasing order.   

    Q      (input/output) DOUBLE PRECISION array, dimension (LDQ, N)   
           On entry, Q contains the eigenvectors of two submatrices in   
           the two square blocks with corners at (1,1), (N1,N1)   
           and (N1+1, N1+1), (N,N).   
           On exit, Q contains the trailing (N-K) updated eigenvectors   
           (those which were deflated) in its last N-K columns.   

    LDQ    (input) INTEGER   
           The leading dimension of the array Q.  LDQ >= max(1,N).   

    INDXQ  (input/output) INTEGER array, dimension (N)   
           The permutation which separately sorts the two sub-problems   
           in D into ascending order.  Note that elements in the second   
           half of this permutation must first have N1 added to their   
           values. Destroyed on exit.   

    RHO    (input/output) DOUBLE PRECISION   
           On entry, the off-diagonal element associated with the rank-1   
           cut which originally split the two submatrices which are now   
           being recombined.   
           On exit, RHO has been modified to the value required by   
           DLAED3.   

    Z      (input) DOUBLE PRECISION array, dimension (N)   
           On entry, Z contains the updating vector (the last   
           row of the first sub-eigenvector matrix and the first row of   
           the second sub-eigenvector matrix).   
           On exit, the contents of Z have been destroyed by the updating   
           process.   

    DLAMDA (output) DOUBLE PRECISION array, dimension (N)   
           A copy of the first K eigenvalues which will be used by   
           DLAED3 to form the secular equation.   

    W      (output) DOUBLE PRECISION array, dimension (N)   
           The first k values of the final deflation-altered z-vector   
           which will be passed to DLAED3.   

    Q2     (output) DOUBLE PRECISION array, dimension (N1**2+(N-N1)**2)   
           A copy of the first K eigenvectors which will be used by   
           DLAED3 in a matrix multiply (DGEMM) to solve for the new   
           eigenvectors.   

    INDX   (workspace) INTEGER array, dimension (N)   
           The permutation used to sort the contents of DLAMDA into   
           ascending order.   

    INDXC  (output) INTEGER array, dimension (N)   
           The permutation used to arrange the columns of the deflated   
           Q matrix into three groups:  the first group contains non-zero   
           elements only at and above N1, the second contains   
           non-zero elements only below N1, and the third is dense.   

    INDXP  (workspace) INTEGER array, dimension (N)   
           The permutation used to place deflated values of D at the end   
           of the array.  INDXP(1:K) points to the nondeflated D-values   
           and INDXP(K+1:N) points to the deflated eigenvalues.   

    COLTYP (workspace/output) INTEGER array, dimension (N)   
           During execution, a label which will indicate which of the   
           following types a column in the Q2 matrix is:   
           1 : non-zero in the upper half only;   
           2 : dense;   
           3 : non-zero in the lower half only;   
           4 : deflated.   
           On exit, COLTYP(i) is the number of columns of type i,   
           for i=1 to 4 only.   

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

    Further Details   
    ===============   

    Based on contributions by   
       Jeff Rutter, Computer Science Division, University of California   
       at Berkeley, USA   
    Modified by Francoise Tisseur, University of Tennessee.   

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


       Test the input parameters.   

       Parameter adjustments */
    --d__;
    q_dim1 = *ldq;
    q_offset = 1 + q_dim1 * 1;
    q -= q_offset;
    --indxq;
    --z__;
    --dlamda;
    --w;
    --q2;
    --indx;
    --indxc;
    --indxp;
    --coltyp;

    /* Function Body */
    *info = 0;

    if (*n < 0) {
	*info = -2;
    } else if (*ldq < max(1,*n)) {
	*info = -6;
    } else /* if(complicated condition) */ {
/* Computing MIN */
	i__1 = 1, i__2 = *n / 2;
	if (min(i__1,i__2) > *n1 || *n / 2 < *n1) {
	    *info = -3;
	}
    }
    if (*info != 0) {
	i__1 = -(*info);
	xerbla_("DLAED2", &i__1);
	return 0;
    }

/*     Quick return if possible */

    if (*n == 0) {
	return 0;
    }

    n2 = *n - *n1;
    n1p1 = *n1 + 1;

    if (*rho < 0.) {
	latime_1.ops += n2;
	dscal_(&n2, &c_b3, &z__[n1p1], &c__1);
    }

/*     Normalize z so that norm(z) = 1.  Since z is the concatenation of   
       two normalized vectors, norm2(z) = sqrt(2). */

    latime_1.ops = latime_1.ops + *n + 3;
    t = 1. / sqrt(2.);
    dscal_(n, &t, &z__[1], &c__1);

/*     RHO = ABS( norm(z)**2 * RHO ) */

    *rho = (d__1 = *rho * 2., abs(d__1));

/*     Sort the eigenvalues into increasing order */

    i__1 = *n;
    for (i__ = n1p1; i__ <= i__1; ++i__) {
	indxq[i__] += *n1;
/* L10: */
    }

/*     re-integrate the deflated parts from the last pass */

    i__1 = *n;
    for (i__ = 1; i__ <= i__1; ++i__) {
	dlamda[i__] = d__[indxq[i__]];
/* L20: */
    }
    dlamrg_(n1, &n2, &dlamda[1], &c__1, &c__1, &indxc[1]);
    i__1 = *n;
    for (i__ = 1; i__ <= i__1; ++i__) {
	indx[i__] = indxq[indxc[i__]];
/* L30: */
    }

/*     Calculate the allowable deflation tolerance */

    imax = idamax_(n, &z__[1], &c__1);
    jmax = idamax_(n, &d__[1], &c__1);
    eps = dlamch_("Epsilon");
    latime_1.ops += 2;
/* Computing MAX */
    d__3 = (d__1 = d__[jmax], abs(d__1)), d__4 = (d__2 = z__[imax], abs(d__2))
	    ;
    tol = eps * 8. * max(d__3,d__4);

/*     If the rank-1 modifier is small enough, no more needs to be done   
       except to reorganize Q so that its columns correspond with the   
       elements in D. */

    latime_1.ops += 1;
    if (*rho * (d__1 = z__[imax], abs(d__1)) <= tol) {
	*k = 0;
	iq2 = 1;
	i__1 = *n;
	for (j = 1; j <= i__1; ++j) {
	    i__ = indx[j];
	    dcopy_(n, &q_ref(1, i__), &c__1, &q2[iq2], &c__1);
	    dlamda[j] = d__[i__];
	    iq2 += *n;
/* L40: */
	}
	dlacpy_("A", n, n, &q2[1], n, &q[q_offset], ldq);
	dcopy_(n, &dlamda[1], &c__1, &d__[1], &c__1);
	goto L190;
    }

/*     If there are multiple eigenvalues then the problem deflates.  Here   
       the number of equal eigenvalues are found.  As each equal   
       eigenvalue is found, an elementary reflector is computed to rotate   
       the corresponding eigensubspace so that the corresponding   
       components of Z are zero in this new basis. */

    i__1 = *n1;
    for (i__ = 1; i__ <= i__1; ++i__) {
	coltyp[i__] = 1;
/* L50: */
    }
    i__1 = *n;
    for (i__ = n1p1; i__ <= i__1; ++i__) {
	coltyp[i__] = 3;
/* L60: */
    }


    *k = 0;
    k2 = *n + 1;
    i__1 = *n;
    for (j = 1; j <= i__1; ++j) {
	nj = indx[j];
	latime_1.ops += 1;
	if (*rho * (d__1 = z__[nj], abs(d__1)) <= tol) {

/*           Deflate due to small z component. */

	    --k2;
	    coltyp[nj] = 4;
	    indxp[k2] = nj;
	    if (j == *n) {
		goto L100;
	    }
	} else {
	    pj = nj;
	    goto L80;
	}
/* L70: */
    }
L80:
    ++j;
    nj = indx[j];
    if (j > *n) {
	goto L100;
    }
    latime_1.ops += 1;
    if (*rho * (d__1 = z__[nj], abs(d__1)) <= tol) {

/*        Deflate due to small z component. */

	--k2;
	coltyp[nj] = 4;
	indxp[k2] = nj;
    } else {

/*        Check if eigenvalues are close enough to allow deflation. */

	s = z__[pj];
	c__ = z__[nj];

/*        Find sqrt(a**2+b**2) without overflow or   
          destructive underflow. */

	latime_1.ops += 10;
	tau = dlapy2_(&c__, &s);
	t = d__[nj] - d__[pj];
	c__ /= tau;
	s = -s / tau;
	if ((d__1 = t * c__ * s, abs(d__1)) <= tol) {

/*           Deflation is possible. */

	    z__[nj] = tau;
	    z__[pj] = 0.;
	    if (coltyp[nj] != coltyp[pj]) {
		coltyp[nj] = 2;
	    }
	    coltyp[pj] = 4;
	    latime_1.ops += *n * 6;
	    drot_(n, &q_ref(1, pj), &c__1, &q_ref(1, nj), &c__1, &c__, &s);
	    latime_1.ops += 10;
/* Computing 2nd power */
	    d__1 = c__;
/* Computing 2nd power */
	    d__2 = s;
	    t = d__[pj] * (d__1 * d__1) + d__[nj] * (d__2 * d__2);
/* Computing 2nd power */
	    d__1 = s;
/* Computing 2nd power */
	    d__2 = c__;
	    d__[nj] = d__[pj] * (d__1 * d__1) + d__[nj] * (d__2 * d__2);
	    d__[pj] = t;
	    --k2;
	    i__ = 1;
L90:
	    if (k2 + i__ <= *n) {
		if (d__[pj] < d__[indxp[k2 + i__]]) {
		    indxp[k2 + i__ - 1] = indxp[k2 + i__];
		    indxp[k2 + i__] = pj;
		    ++i__;
		    goto L90;
		} else {
		    indxp[k2 + i__ - 1] = pj;
		}
	    } else {
		indxp[k2 + i__ - 1] = pj;
	    }
	    pj = nj;
	} else {
	    ++(*k);
	    dlamda[*k] = d__[pj];
	    w[*k] = z__[pj];
	    indxp[*k] = pj;
	    pj = nj;
	}
    }
    goto L80;
L100:

/*     Record the last eigenvalue. */

    ++(*k);
    dlamda[*k] = d__[pj];
    w[*k] = z__[pj];
    indxp[*k] = pj;

/*     Count up the total number of the various types of columns, then   
       form a permutation which positions the four column types into   
       four uniform groups (although one or more of these groups may be   
       empty). */

    for (j = 1; j <= 4; ++j) {
	ctot[j - 1] = 0;
/* L110: */
    }
    i__1 = *n;
    for (j = 1; j <= i__1; ++j) {
	ct = coltyp[j];
	++ctot[ct - 1];
/* L120: */
    }

/*     PSM(*) = Position in SubMatrix (of types 1 through 4) */

    psm[0] = 1;
    psm[1] = ctot[0] + 1;
    psm[2] = psm[1] + ctot[1];
    psm[3] = psm[2] + ctot[2];
    *k = *n - ctot[3];

/*     Fill out the INDXC array so that the permutation which it induces   
       will place all type-1 columns first, all type-2 columns next,   
       then all type-3's, and finally all type-4's. */

    i__1 = *n;
    for (j = 1; j <= i__1; ++j) {
	js = indxp[j];
	ct = coltyp[js];
	indx[psm[ct - 1]] = js;
	indxc[psm[ct - 1]] = j;
	++psm[ct - 1];
/* L130: */
    }

/*     Sort the eigenvalues and corresponding eigenvectors into DLAMDA   
       and Q2 respectively.  The eigenvalues/vectors which were not   
       deflated go into the first K slots of DLAMDA and Q2 respectively,   
       while those which were deflated go into the last N - K slots. */

    i__ = 1;
    iq1 = 1;
    iq2 = (ctot[0] + ctot[1]) * *n1 + 1;
    i__1 = ctot[0];
    for (j = 1; j <= i__1; ++j) {
	js = indx[i__];
	dcopy_(n1, &q_ref(1, js), &c__1, &q2[iq1], &c__1);
	z__[i__] = d__[js];
	++i__;
	iq1 += *n1;
/* L140: */
    }

    i__1 = ctot[1];
    for (j = 1; j <= i__1; ++j) {
	js = indx[i__];
	dcopy_(n1, &q_ref(1, js), &c__1, &q2[iq1], &c__1);
	dcopy_(&n2, &q_ref(*n1 + 1, js), &c__1, &q2[iq2], &c__1);
	z__[i__] = d__[js];
	++i__;
	iq1 += *n1;
	iq2 += n2;
/* L150: */
    }

    i__1 = ctot[2];
    for (j = 1; j <= i__1; ++j) {
	js = indx[i__];
	dcopy_(&n2, &q_ref(*n1 + 1, js), &c__1, &q2[iq2], &c__1);
	z__[i__] = d__[js];
	++i__;
	iq2 += n2;
/* L160: */
    }

    iq1 = iq2;
    i__1 = ctot[3];
    for (j = 1; j <= i__1; ++j) {
	js = indx[i__];
	dcopy_(n, &q_ref(1, js), &c__1, &q2[iq2], &c__1);
	iq2 += *n;
	z__[i__] = d__[js];
	++i__;
/* L170: */
    }

/*     The deflated eigenvalues and their corresponding vectors go back   
       into the last N - K slots of D and Q respectively. */

    dlacpy_("A", n, &ctot[3], &q2[iq1], n, &q_ref(1, *k + 1), ldq);
    i__1 = *n - *k;
    dcopy_(&i__1, &z__[*k + 1], &c__1, &d__[*k + 1], &c__1);

/*     Copy CTOT into COLTYP for referencing in DLAED3. */

    for (j = 1; j <= 4; ++j) {
	coltyp[j] = ctot[j - 1];
/* L180: */
    }

L190:
    return 0;

/*     End of DLAED2 */

} /* dlaed2_ */

#undef q_ref