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slasq1.f(3) LAPACK slasq1.f(3)

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 (integer N, real, dimension( * ) D, real, dimension( * ) E, real, dimension( * ) WORK, integer INFO)

SLASQ1 computes the singular values of a real square bidiagonal matrix. Used by sbdsqr.

Purpose:


SLASQ1 computes the singular values of a real N-by-N bidiagonal
matrix with diagonal D and off-diagonal 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., Vol-67, No. 2, pp. 191-230,
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.

D


D 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.

E


E is REAL array, dimension (N)
On entry, elements E(1:N-1) contain the off-diagonal elements
of the bidiagonal matrix whose SVD is desired.
On exit, E is overwritten.

WORK


WORK is REAL array, dimension (4*N)

INFO


INFO is INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th 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:

December 2016

Definition at line 110 of file slasq1.f.

Author

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