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ZLAED7(1)		 LAPACK routine (version 3.2)		     ZLAED7(1)

NAME
       ZLAED7  -  computes  the updated eigensystem of a diagonal matrix after
       modification by a rank-one symmetric matrix

SYNOPSIS
       SUBROUTINE ZLAED7( N, CUTPNT, QSIZ, TLVLS, CURLVL, CURPBM, D,  Q,  LDQ,
			  RHO, INDXQ, QSTORE, QPTR, PRMPTR, PERM, GIVPTR, GIV‐
			  COL, GIVNUM, WORK, RWORK, IWORK, INFO )

	   INTEGER	  CURLVL, CURPBM, CUTPNT, INFO, LDQ, N, QSIZ, TLVLS

	   DOUBLE	  PRECISION RHO

	   INTEGER	  GIVCOL( 2, * ), GIVPTR( * ), INDXQ( * ), IWORK( * ),
			  PERM( * ), PRMPTR( * ), QPTR( * )

	   DOUBLE	  PRECISION  D(	 *  ),	GIVNUM(	 2,  * ), QSTORE( * ),
			  RWORK( * )

	   COMPLEX*16	  Q( LDQ, * ), WORK( * )

PURPOSE
       ZLAED7 computes the updated eigensystem of a diagonal matrix after mod‐
       ification by a rank-one symmetric matrix. This routine is used only for
       the eigenproblem which requires all eigenvalues and  optionally	eigen‐
       vectors	of a dense or banded Hermitian matrix that has been reduced to
       tridiagonal form.
	 T = Q(in) ( D(in) + RHO * Z*Z' ) Q'(in) = Q(out) * D(out) * Q'(out)
	 where Z = Q'u, u is a vector of length N with ones in the
	 CUTPNT and CUTPNT + 1 th elements and zeros elsewhere.
	  The eigenvectors of the original matrix are stored in Q, and the
	  eigenvalues are in D.	 The algorithm consists of three stages:
	     The first stage consists of deflating the size of the problem
	     when there are multiple eigenvalues or if there is a zero in
	     the Z vector.  For each such occurence the dimension of the
	     secular equation problem is reduced by one.  This stage is
	     performed by the routine DLAED2.
	     The second stage consists of calculating the updated
	     eigenvalues. This is done by finding the roots of the secular
	     equation via the routine DLAED4 (as called by SLAED3).
	     This routine also calculates the eigenvectors of the current
	     problem.
	     The final stage consists of computing the updated eigenvectors
	     directly using the updated eigenvalues.  The eigenvectors for
	     the current problem are multiplied with the eigenvectors from
	     the overall problem.

ARGUMENTS
       N      (input) INTEGER
	      The dimension of the symmetric  tridiagonal  matrix.   N	>=  0.
	      CUTPNT  (input) INTEGER Contains the location of the last eigen‐
	      value in the leading sub-matrix.	min(1,N) <= CUTPNT <= N.

       QSIZ   (input) INTEGER
	      The dimension of the unitary matrix  used	 to  reduce  the  full
	      matrix to tridiagonal form.  QSIZ >= N.

       TLVLS  (input) INTEGER
	      The  total  number  of  merging levels in the overall divide and
	      conquer tree.  CURLVL (input) INTEGER The current level  in  the
	      overall  merge  routine,	0  <= curlvl <= tlvls.	CURPBM (input)
	      INTEGER The current problem in the current level in the  overall
	      merge routine (counting from upper left to lower right).

       D      (input/output) DOUBLE PRECISION array, dimension (N)
	      On  entry,  the  eigenvalues of the rank-1-perturbed matrix.  On
	      exit, the eigenvalues of the repaired matrix.

       Q      (input/output) COMPLEX*16 array, dimension (LDQ,N)
	      On entry, the eigenvectors of the rank-1-perturbed  matrix.   On
	      exit, the eigenvectors of the repaired tridiagonal matrix.

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

       RHO    (input) DOUBLE PRECISION
	      Contains the subdiagonal element used to create the rank-1 modi‐
	      fication.

       INDXQ  (output) INTEGER array, dimension (N)
	      This contains the permutation which will	reintegrate  the  sub‐
	      problem just solved back into sorted order, ie. D( INDXQ( I = 1,
	      N ) ) will be in ascending order.

       IWORK  (workspace) INTEGER array, dimension (4*N)

       RWORK  (workspace) DOUBLE PRECISION array,
	      dimension (3*N+2*QSIZ*N)

       WORK   (workspace) COMPLEX*16 array, dimension (QSIZ*N)
	      QSTORE (input/output) DOUBLE PRECISION array, dimension (N**2+1)
	      Stores eigenvectors of submatrices encountered during divide and
	      conquer, packed together. QPTR points to beginning of the subma‐
	      trices.

       QPTR   (input/output) INTEGER array, dimension (N+2)
	      List  of	indices pointing to beginning of submatrices stored in
	      QSTORE. The submatrices are numbered starting at the bottom left
	      of the divide and conquer tree, from left to right and bottom to
	      top.  PRMPTR (input) INTEGER array, dimension (N lg N)  Contains
	      a list of pointers which indicate where in PERM a level's permu‐
	      tation is stored.	 PRMPTR(i+1) - PRMPTR(i) indicates the size of
	      the  permutation	and  also  the	size of the full, non-deflated
	      problem.

       PERM   (input) INTEGER array, dimension (N lg N)
	      Contains the permutations (from deflation	 and  sorting)	to  be
	      applied  to  each	 eigenblock.   GIVPTR  (input)	INTEGER array,
	      dimension (N lg N) Contains a list of  pointers  which  indicate
	      where   in   GIVCOL  a  level's  Givens  rotations  are  stored.
	      GIVPTR(i+1) - GIVPTR(i) indicates the  number  of	 Givens	 rota‐
	      tions.  GIVCOL (input) INTEGER array, dimension (2, N lg N) Each
	      pair of numbers indicates a pair of columns to take place	 in  a
	      Givens  rotation.	 GIVNUM (input) DOUBLE PRECISION array, dimen‐
	      sion (2, N lg N) Each number indicates the S value to be used in
	      the corresponding Givens rotation.

       INFO   (output) INTEGER
	      = 0:  successful exit.
	      < 0:  if INFO = -i, the i-th argument had an illegal value.
	      > 0:  if INFO = 1, an eigenvalue did not converge

 LAPACK routine (version 3.2)	 November 2008			     ZLAED7(1)
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