slasq1 (3)  Linux Manuals
NAME
slasq1.f 
SYNOPSIS
Functions/Subroutines
subroutine slasq1 (N, D, E, WORK, INFO)
SLASQ1 computes the singular values of a real square bidiagonal matrix. Used by sbdsqr.
Function/Subroutine Documentation
subroutine slasq1 (integerN, real, dimension( * )D, real, dimension( * )E, real, dimension( * )WORK, integerINFO)
SLASQ1 computes the singular values of a real square bidiagonal matrix. Used by sbdsqr.
Purpose:

SLASQ1 computes the singular values of a real NbyN bidiagonal matrix with diagonal D and offdiagonal E. The singular values are computed to high relative accuracy, in the absence of denormalization, underflow and overflow. The algorithm was first presented in "Accurate singular values and differential qd algorithms" by K. V. Fernando and B. N. Parlett, Numer. Math., Vol67, No. 2, pp. 191230, 1994, and the present implementation is described in "An implementation of the dqds Algorithm (Positive Case)", LAPACK Working Note.
Parameters:

N
N is INTEGER The number of rows and columns in the matrix. N >= 0.
DD is REAL array, dimension (N) On entry, D contains the diagonal elements of the bidiagonal matrix whose SVD is desired. On normal exit, D contains the singular values in decreasing order.
EE is REAL array, dimension (N) On entry, elements E(1:N1) contain the offdiagonal elements of the bidiagonal matrix whose SVD is desired. On exit, E is overwritten.
WORKWORK is REAL array, dimension (4*N)
INFOINFO is INTEGER = 0: successful exit < 0: if INFO = i, the ith argument had an illegal value > 0: the algorithm failed = 1, a split was marked by a positive value in E = 2, current block of Z not diagonalized after 100*N iterations (in inner while loop) On exit D and E represent a matrix with the same singular values which the calling subroutine could use to finish the computation, or even feed back into SLASQ1 = 3, termination criterion of outer while loop not met (program created more than N unreduced blocks)
Author:

Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Date:
 September 2012
Definition at line 109 of file slasq1.f.
Author
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