slaed1.f man page

slaed1.f —

Synopsis

Functions/Subroutines

subroutine slaed1 (N, D, Q, LDQ, INDXQ, RHO, CUTPNT, WORK, IWORK, INFO)
SLAED1 used by sstedc. Computes the updated eigensystem of a diagonal matrix after modification by a rank-one symmetric matrix. Used when the original matrix is tridiagonal.

Function/Subroutine Documentation

subroutine slaed1 (integerN, real, dimension( * )D, real, dimension( ldq, * )Q, integerLDQ, integer, dimension( * )INDXQ, realRHO, integerCUTPNT, real, dimension( * )WORK, integer, dimension( * )IWORK, integerINFO)

SLAED1 used by sstedc. Computes the updated eigensystem of a diagonal matrix after modification by a rank-one symmetric matrix. Used when the original matrix is tridiagonal.

Purpose:

SLAED1 computes the updated eigensystem of a diagonal
matrix after modification by a rank-one symmetric matrix.  This
routine is used only for the eigenproblem which requires all
eigenvalues and eigenvectors of a tridiagonal matrix.  SLAED7 handles
the case in which eigenvalues only or eigenvalues and eigenvectors
of a full symmetric matrix (which was reduced to tridiagonal form)
are desired.

  T = Q(in) ( D(in) + RHO * Z*Z**T ) Q**T(in) = Q(out) * D(out) * Q**T(out)

   where Z = Q**T*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 SLAED2.

      The second stage consists of calculating the updated
      eigenvalues. This is done by finding the roots of the secular
      equation via the routine SLAED4 (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.

Parameters:

N

 N is INTEGER
The dimension of the symmetric tridiagonal matrix.  N >= 0.

D

 D is REAL array, dimension (N)
On entry, the eigenvalues of the rank-1-perturbed matrix.
On exit, the eigenvalues of the repaired matrix.

Q

 Q is REAL array, dimension (LDQ,N)
On entry, the eigenvectors of the rank-1-perturbed matrix.
On exit, the eigenvectors of the repaired tridiagonal matrix.

LDQ

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

INDXQ

 INDXQ is INTEGER array, dimension (N)
On entry, the permutation which separately sorts the two
subproblems in D into ascending order.
On exit, the permutation which will reintegrate the
subproblems back into sorted order,
i.e. D( INDXQ( I = 1, N ) ) will be in ascending order.

RHO

 RHO is REAL
The subdiagonal entry used to create the rank-1 modification.

CUTPNT

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

WORK

WORK is REAL array, dimension (4*N + N**2)

IWORK

IWORK is INTEGER array, dimension (4*N)

INFO

INFO is 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

Author:

Univ. of Tennessee

Univ. of California Berkeley

Univ. of Colorado Denver

NAG Ltd.

Date:

September 2012

Contributors:

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

Definition at line 163 of file slaed1.f.

Author

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Referenced By

slaed1(3) is an alias of slaed1.f(3).

Sat Nov 16 2013 Version 3.4.2 LAPACK