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dlasd5.f(3) LAPACK dlasd5.f(3)

NAME

dlasd5.f -

SYNOPSIS

Functions/Subroutines


subroutine dlasd5 (I, D, Z, DELTA, RHO, DSIGMA, WORK)
 
DLASD5

Function/Subroutine Documentation

subroutine dlasd5 (integerI, double precision, dimension( 2 )D, double precision, dimension( 2 )Z, double precision, dimension( 2 )DELTA, double precisionRHO, double precisionDSIGMA, double precision, dimension( 2 )WORK)

DLASD5
Purpose:
 
 This subroutine computes the square root of the I-th eigenvalue
 of a positive symmetric rank-one modification of a 2-by-2 diagonal
 matrix
diag( D ) * diag( D ) + RHO * Z * transpose(Z) .
The diagonal entries in the array D are assumed to satisfy
0 <= D(i) < D(j) for i < j .
We also assume RHO > 0 and that the Euclidean norm of the vector Z is one.
 
Parameters:
I
          I is INTEGER
         The index of the eigenvalue to be computed.  I = 1 or I = 2.
 
D
          D is DOUBLE PRECISION array, dimension ( 2 )
         The original eigenvalues.  We assume 0 <= D(1) < D(2).
 
Z
          Z is DOUBLE PRECISION array, dimension ( 2 )
         The components of the updating vector.
 
DELTA
          DELTA is DOUBLE PRECISION array, dimension ( 2 )
         Contains (D(j) - sigma_I) in its  j-th component.
         The vector DELTA contains the information necessary
         to construct the eigenvectors.
 
RHO
          RHO is DOUBLE PRECISION
         The scalar in the symmetric updating formula.
 
DSIGMA
          DSIGMA is DOUBLE PRECISION
         The computed sigma_I, the I-th updated eigenvalue.
 
WORK
          WORK is DOUBLE PRECISION array, dimension ( 2 )
         WORK contains (D(j) + sigma_I) in its  j-th component.
 
Author:
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Date:
November 2011
Contributors:
Ren-Cang Li, Computer Science Division, University of California at Berkeley, USA
 
Definition at line 117 of file dlasd5.f.

Author

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