/*  -- translated by f2c (version 20191129).
   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 doublereal c_b5 = -1.;
static doublereal c_b6 = 1.;
static integer c__1 = 1;
static doublereal c_b16 = 0.;

/* > \brief \b DLATRD reduces the first nb rows and columns of a symmetric/Hermitian matrix A to real tridiago
nal form by an orthogonal similarity transformation.   

    =========== DOCUMENTATION ===========   

   Online html documentation available at   
              http://www.netlib.org/lapack/explore-html/   

   > \htmlonly   
   > Download DLATRD + dependencies   
   > <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dlatrd.
f">   
   > [TGZ]</a>   
   > <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dlatrd.
f">   
   > [ZIP]</a>   
   > <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dlatrd.
f">   
   > [TXT]</a>   
   > \endhtmlonly   

    Definition:   
    ===========   

         SUBROUTINE DLATRD( UPLO, N, NB, A, LDA, E, TAU, W, LDW )   

         CHARACTER          UPLO   
         INTEGER            LDA, LDW, N, NB   
         DOUBLE PRECISION   A( LDA, * ), E( * ), TAU( * ), W( LDW, * )   


   > \par Purpose:   
    =============   
   >   
   > \verbatim   
   >   
   > DLATRD reduces NB rows and columns of a real symmetric matrix A to   
   > symmetric tridiagonal form by an orthogonal similarity   
   > transformation Q**T * A * Q, and returns the matrices V and W which are   
   > needed to apply the transformation to the unreduced part of A.   
   >   
   > If UPLO = 'U', DLATRD reduces the last NB rows and columns of a   
   > matrix, of which the upper triangle is supplied;   
   > if UPLO = 'L', DLATRD reduces the first NB rows and columns of a   
   > matrix, of which the lower triangle is supplied.   
   >   
   > This is an auxiliary routine called by DSYTRD.   
   > \endverbatim   

    Arguments:   
    ==========   

   > \param[in] UPLO   
   > \verbatim   
   >          UPLO is CHARACTER*1   
   >          Specifies whether the upper or lower triangular part of the   
   >          symmetric matrix A is stored:   
   >          = 'U': Upper triangular   
   >          = 'L': Lower triangular   
   > \endverbatim   
   >   
   > \param[in] N   
   > \verbatim   
   >          N is INTEGER   
   >          The order of the matrix A.   
   > \endverbatim   
   >   
   > \param[in] NB   
   > \verbatim   
   >          NB is INTEGER   
   >          The number of rows and columns to be reduced.   
   > \endverbatim   
   >   
   > \param[in,out] A   
   > \verbatim   
   >          A is DOUBLE PRECISION array, dimension (LDA,N)   
   >          On entry, the symmetric matrix A.  If UPLO = 'U', the leading   
   >          n-by-n upper triangular part of A contains the upper   
   >          triangular part of the matrix A, and the strictly lower   
   >          triangular part of A is not referenced.  If UPLO = 'L', the   
   >          leading n-by-n lower triangular part of A contains the lower   
   >          triangular part of the matrix A, and the strictly upper   
   >          triangular part of A is not referenced.   
   >          On exit:   
   >          if UPLO = 'U', the last NB columns have been reduced to   
   >            tridiagonal form, with the diagonal elements overwriting   
   >            the diagonal elements of A; the elements above the diagonal   
   >            with the array TAU, represent the orthogonal matrix Q as a   
   >            product of elementary reflectors;   
   >          if UPLO = 'L', the first NB columns have been reduced to   
   >            tridiagonal form, with the diagonal elements overwriting   
   >            the diagonal elements of A; the elements below the diagonal   
   >            with the array TAU, represent the  orthogonal matrix Q as a   
   >            product of elementary reflectors.   
   >          See Further Details.   
   > \endverbatim   
   >   
   > \param[in] LDA   
   > \verbatim   
   >          LDA is INTEGER   
   >          The leading dimension of the array A.  LDA >= (1,N).   
   > \endverbatim   
   >   
   > \param[out] E   
   > \verbatim   
   >          E is DOUBLE PRECISION array, dimension (N-1)   
   >          If UPLO = 'U', E(n-nb:n-1) contains the superdiagonal   
   >          elements of the last NB columns of the reduced matrix;   
   >          if UPLO = 'L', E(1:nb) contains the subdiagonal elements of   
   >          the first NB columns of the reduced matrix.   
   > \endverbatim   
   >   
   > \param[out] TAU   
   > \verbatim   
   >          TAU is DOUBLE PRECISION array, dimension (N-1)   
   >          The scalar factors of the elementary reflectors, stored in   
   >          TAU(n-nb:n-1) if UPLO = 'U', and in TAU(1:nb) if UPLO = 'L'.   
   >          See Further Details.   
   > \endverbatim   
   >   
   > \param[out] W   
   > \verbatim   
   >          W is DOUBLE PRECISION array, dimension (LDW,NB)   
   >          The n-by-nb matrix W required to update the unreduced part   
   >          of A.   
   > \endverbatim   
   >   
   > \param[in] LDW   
   > \verbatim   
   >          LDW is INTEGER   
   >          The leading dimension of the array W. LDW >= max(1,N).   
   > \endverbatim   

    Authors:   
    ========   

   > \author Univ. of Tennessee   
   > \author Univ. of California Berkeley   
   > \author Univ. of Colorado Denver   
   > \author NAG Ltd.   

   > \date September 2012   

   > \ingroup doubleOTHERauxiliary   

   > \par Further Details:   
    =====================   
   >   
   > \verbatim   
   >   
   >  If UPLO = 'U', the matrix Q is represented as a product of elementary   
   >  reflectors   
   >   
   >     Q = H(n) H(n-1) . . . H(n-nb+1).   
   >   
   >  Each H(i) has the form   
   >   
   >     H(i) = I - tau * v * v**T   
   >   
   >  where tau is a real scalar, and v is a real vector with   
   >  v(i:n) = 0 and v(i-1) = 1; v(1:i-1) is stored on exit in A(1:i-1,i),   
   >  and tau in TAU(i-1).   
   >   
   >  If UPLO = 'L', the matrix Q is represented as a product of elementary   
   >  reflectors   
   >   
   >     Q = H(1) H(2) . . . H(nb).   
   >   
   >  Each H(i) has the form   
   >   
   >     H(i) = I - tau * v * v**T   
   >   
   >  where tau is a real scalar, and v is a real vector with   
   >  v(1:i) = 0 and v(i+1) = 1; v(i+1:n) is stored on exit in A(i+1:n,i),   
   >  and tau in TAU(i).   
   >   
   >  The elements of the vectors v together form the n-by-nb matrix V   
   >  which is needed, with W, to apply the transformation to the unreduced   
   >  part of the matrix, using a symmetric rank-2k update of the form:   
   >  A := A - V*W**T - W*V**T.   
   >   
   >  The contents of A on exit are illustrated by the following examples   
   >  with n = 5 and nb = 2:   
   >   
   >  if UPLO = 'U':                       if UPLO = 'L':   
   >   
   >    (  a   a   a   v4  v5 )              (  d                  )   
   >    (      a   a   v4  v5 )              (  1   d              )   
   >    (          a   1   v5 )              (  v1  1   a          )   
   >    (              d   1  )              (  v1  v2  a   a      )   
   >    (                  d  )              (  v1  v2  a   a   a  )   
   >   
   >  where d denotes a diagonal element of the reduced matrix, a denotes   
   >  an element of the original matrix that is unchanged, and vi denotes   
   >  an element of the vector defining H(i).   
   > \endverbatim   
   >   
    =====================================================================   
   Subroutine */ int igraphdlatrd_(char *uplo, integer *n, integer *nb, doublereal *
	a, integer *lda, doublereal *e, doublereal *tau, doublereal *w, 
	integer *ldw)
{
    /* System generated locals */
    integer a_dim1, a_offset, w_dim1, w_offset, i__1, i__2, i__3;

    /* Local variables */
    integer i__, iw;
    extern doublereal igraphddot_(integer *, doublereal *, integer *, doublereal *, 
	    integer *);
    doublereal alpha;
    extern /* Subroutine */ int igraphdscal_(integer *, doublereal *, doublereal *, 
	    integer *);
    extern logical igraphlsame_(char *, char *);
    extern /* Subroutine */ int igraphdgemv_(char *, integer *, integer *, 
	    doublereal *, doublereal *, integer *, doublereal *, integer *, 
	    doublereal *, doublereal *, integer *), igraphdaxpy_(integer *, 
	    doublereal *, doublereal *, integer *, doublereal *, integer *), 
	    igraphdsymv_(char *, integer *, doublereal *, doublereal *, integer *, 
	    doublereal *, integer *, doublereal *, doublereal *, integer *), igraphdlarfg_(integer *, doublereal *, doublereal *, integer *,
	     doublereal *);


/*  -- LAPACK auxiliary routine (version 3.4.2) --   
    -- LAPACK is a software package provided by Univ. of Tennessee,    --   
    -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--   
       September 2012   


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


       Quick return if possible   

       Parameter adjustments */
    a_dim1 = *lda;
    a_offset = 1 + a_dim1;
    a -= a_offset;
    --e;
    --tau;
    w_dim1 = *ldw;
    w_offset = 1 + w_dim1;
    w -= w_offset;

    /* Function Body */
    if (*n <= 0) {
	return 0;
    }

    if (igraphlsame_(uplo, "U")) {

/*        Reduce last NB columns of upper triangle */

	i__1 = *n - *nb + 1;
	for (i__ = *n; i__ >= i__1; --i__) {
	    iw = i__ - *n + *nb;
	    if (i__ < *n) {

/*              Update A(1:i,i) */

		i__2 = *n - i__;
		igraphdgemv_("No transpose", &i__, &i__2, &c_b5, &a[(i__ + 1) * 
			a_dim1 + 1], lda, &w[i__ + (iw + 1) * w_dim1], ldw, &
			c_b6, &a[i__ * a_dim1 + 1], &c__1);
		i__2 = *n - i__;
		igraphdgemv_("No transpose", &i__, &i__2, &c_b5, &w[(iw + 1) * 
			w_dim1 + 1], ldw, &a[i__ + (i__ + 1) * a_dim1], lda, &
			c_b6, &a[i__ * a_dim1 + 1], &c__1);
	    }
	    if (i__ > 1) {

/*              Generate elementary reflector H(i) to annihilate   
                A(1:i-2,i) */

		i__2 = i__ - 1;
		igraphdlarfg_(&i__2, &a[i__ - 1 + i__ * a_dim1], &a[i__ * a_dim1 + 
			1], &c__1, &tau[i__ - 1]);
		e[i__ - 1] = a[i__ - 1 + i__ * a_dim1];
		a[i__ - 1 + i__ * a_dim1] = 1.;

/*              Compute W(1:i-1,i) */

		i__2 = i__ - 1;
		igraphdsymv_("Upper", &i__2, &c_b6, &a[a_offset], lda, &a[i__ * 
			a_dim1 + 1], &c__1, &c_b16, &w[iw * w_dim1 + 1], &
			c__1);
		if (i__ < *n) {
		    i__2 = i__ - 1;
		    i__3 = *n - i__;
		    igraphdgemv_("Transpose", &i__2, &i__3, &c_b6, &w[(iw + 1) * 
			    w_dim1 + 1], ldw, &a[i__ * a_dim1 + 1], &c__1, &
			    c_b16, &w[i__ + 1 + iw * w_dim1], &c__1);
		    i__2 = i__ - 1;
		    i__3 = *n - i__;
		    igraphdgemv_("No transpose", &i__2, &i__3, &c_b5, &a[(i__ + 1) *
			     a_dim1 + 1], lda, &w[i__ + 1 + iw * w_dim1], &
			    c__1, &c_b6, &w[iw * w_dim1 + 1], &c__1);
		    i__2 = i__ - 1;
		    i__3 = *n - i__;
		    igraphdgemv_("Transpose", &i__2, &i__3, &c_b6, &a[(i__ + 1) * 
			    a_dim1 + 1], lda, &a[i__ * a_dim1 + 1], &c__1, &
			    c_b16, &w[i__ + 1 + iw * w_dim1], &c__1);
		    i__2 = i__ - 1;
		    i__3 = *n - i__;
		    igraphdgemv_("No transpose", &i__2, &i__3, &c_b5, &w[(iw + 1) * 
			    w_dim1 + 1], ldw, &w[i__ + 1 + iw * w_dim1], &
			    c__1, &c_b6, &w[iw * w_dim1 + 1], &c__1);
		}
		i__2 = i__ - 1;
		igraphdscal_(&i__2, &tau[i__ - 1], &w[iw * w_dim1 + 1], &c__1);
		i__2 = i__ - 1;
		alpha = tau[i__ - 1] * -.5 * igraphddot_(&i__2, &w[iw * w_dim1 + 1],
			 &c__1, &a[i__ * a_dim1 + 1], &c__1);
		i__2 = i__ - 1;
		igraphdaxpy_(&i__2, &alpha, &a[i__ * a_dim1 + 1], &c__1, &w[iw * 
			w_dim1 + 1], &c__1);
	    }

/* L10: */
	}
    } else {

/*        Reduce first NB columns of lower triangle */

	i__1 = *nb;
	for (i__ = 1; i__ <= i__1; ++i__) {

/*           Update A(i:n,i) */

	    i__2 = *n - i__ + 1;
	    i__3 = i__ - 1;
	    igraphdgemv_("No transpose", &i__2, &i__3, &c_b5, &a[i__ + a_dim1], lda,
		     &w[i__ + w_dim1], ldw, &c_b6, &a[i__ + i__ * a_dim1], &
		    c__1);
	    i__2 = *n - i__ + 1;
	    i__3 = i__ - 1;
	    igraphdgemv_("No transpose", &i__2, &i__3, &c_b5, &w[i__ + w_dim1], ldw,
		     &a[i__ + a_dim1], lda, &c_b6, &a[i__ + i__ * a_dim1], &
		    c__1);
	    if (i__ < *n) {

/*              Generate elementary reflector H(i) to annihilate   
                A(i+2:n,i) */

		i__2 = *n - i__;
/* Computing MIN */
		i__3 = i__ + 2;
		igraphdlarfg_(&i__2, &a[i__ + 1 + i__ * a_dim1], &a[min(i__3,*n) + 
			i__ * a_dim1], &c__1, &tau[i__]);
		e[i__] = a[i__ + 1 + i__ * a_dim1];
		a[i__ + 1 + i__ * a_dim1] = 1.;

/*              Compute W(i+1:n,i) */

		i__2 = *n - i__;
		igraphdsymv_("Lower", &i__2, &c_b6, &a[i__ + 1 + (i__ + 1) * a_dim1]
			, lda, &a[i__ + 1 + i__ * a_dim1], &c__1, &c_b16, &w[
			i__ + 1 + i__ * w_dim1], &c__1);
		i__2 = *n - i__;
		i__3 = i__ - 1;
		igraphdgemv_("Transpose", &i__2, &i__3, &c_b6, &w[i__ + 1 + w_dim1],
			 ldw, &a[i__ + 1 + i__ * a_dim1], &c__1, &c_b16, &w[
			i__ * w_dim1 + 1], &c__1);
		i__2 = *n - i__;
		i__3 = i__ - 1;
		igraphdgemv_("No transpose", &i__2, &i__3, &c_b5, &a[i__ + 1 + 
			a_dim1], lda, &w[i__ * w_dim1 + 1], &c__1, &c_b6, &w[
			i__ + 1 + i__ * w_dim1], &c__1);
		i__2 = *n - i__;
		i__3 = i__ - 1;
		igraphdgemv_("Transpose", &i__2, &i__3, &c_b6, &a[i__ + 1 + a_dim1],
			 lda, &a[i__ + 1 + i__ * a_dim1], &c__1, &c_b16, &w[
			i__ * w_dim1 + 1], &c__1);
		i__2 = *n - i__;
		i__3 = i__ - 1;
		igraphdgemv_("No transpose", &i__2, &i__3, &c_b5, &w[i__ + 1 + 
			w_dim1], ldw, &w[i__ * w_dim1 + 1], &c__1, &c_b6, &w[
			i__ + 1 + i__ * w_dim1], &c__1);
		i__2 = *n - i__;
		igraphdscal_(&i__2, &tau[i__], &w[i__ + 1 + i__ * w_dim1], &c__1);
		i__2 = *n - i__;
		alpha = tau[i__] * -.5 * igraphddot_(&i__2, &w[i__ + 1 + i__ * 
			w_dim1], &c__1, &a[i__ + 1 + i__ * a_dim1], &c__1);
		i__2 = *n - i__;
		igraphdaxpy_(&i__2, &alpha, &a[i__ + 1 + i__ * a_dim1], &c__1, &w[
			i__ + 1 + i__ * w_dim1], &c__1);
	    }

/* L20: */
	}
    }

    return 0;

/*     End of DLATRD */

} /* igraphdlatrd_ */