slaed4.f (3)  Linux Manuals
NAME
slaed4.f 
SYNOPSIS
Functions/Subroutines
subroutine slaed4 (N, I, D, Z, DELTA, RHO, DLAM, INFO)
SLAED4 used by sstedc. Finds a single root of the secular equation.
Function/Subroutine Documentation
subroutine slaed4 (integerN, integerI, real, dimension( * )D, real, dimension( * )Z, real, dimension( * )DELTA, realRHO, realDLAM, integerINFO)
SLAED4 used by sstedc. Finds a single root of the secular equation.
Purpose:

This subroutine computes the Ith updated eigenvalue of a symmetric rankone modification to a diagonal matrix whose elements are given in the array d, and that D(i) < D(j) for i < j and that RHO > 0. This is arranged by the calling routine, and is no loss in generality. The rankone modified system is thus diag( D ) + RHO * Z * Z_transpose. where we assume the Euclidean norm of Z is 1. The method consists of approximating the rational functions in the secular equation by simpler interpolating rational functions.
Parameters:

N
N is INTEGER The length of all arrays.
II is INTEGER The index of the eigenvalue to be computed. 1 <= I <= N.
DD is REAL array, dimension (N) The original eigenvalues. It is assumed that they are in order, D(I) < D(J) for I < J.
ZZ is REAL array, dimension (N) The components of the updating vector.
DELTADELTA is REAL array, dimension (N) If N .GT. 2, DELTA contains (D(j)  lambda_I) in its jth component. If N = 1, then DELTA(1) = 1. If N = 2, see SLAED5 for detail. The vector DELTA contains the information necessary to construct the eigenvectors by SLAED3 and SLAED9.
RHORHO is REAL The scalar in the symmetric updating formula.
DLAMDLAM is REAL The computed lambda_I, the Ith updated eigenvalue.
INFOINFO is INTEGER = 0: successful exit > 0: if INFO = 1, the updating process failed.
Internal Parameters:

Logical variable ORGATI (originati?) is used for distinguishing whether D(i) or D(i+1) is treated as the origin. ORGATI = .true. origin at i ORGATI = .false. origin at i+1 Logical variable SWTCH3 (switchfor3poles?) is for noting if we are working with THREE poles! MAXIT is the maximum number of iterations allowed for each eigenvalue.
Author:

Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Date:
 September 2012
Contributors:
 RenCang Li, Computer Science Division, University of California at Berkeley, USA
Definition at line 146 of file slaed4.f.
Author
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