slasq1(3)

NAME

SLASQ1 - compute the singular values of a real N-by-N
bidiagonal matrix with diagonal D and off-diagonal E

SYNOPSIS

SUBROUTINE SLASQ1( N, D, E, WORK, INFO )
    INTEGER        INFO, N
    REAL           D( * ), E( * ), WORK( * )

PURPOSE

SLASQ1 computes the singular values of a real N-by-N bidi
agonal 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 imple
mentation of the dqds Algorithm (Positive Case)", LAPACK Working
Note.

ARGUMENTS

N (input) INTEGER
The number of rows and columns in the matrix. N >=
0.
D (input/output) REAL array, dimension (N)
On entry, D contains the diagonal elements of the
bidiagonal matrix whose SVD is desired. On normal exit, D con
tains the singular values in decreasing order.
E (input/output) 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 (workspace) REAL array, dimension (4*N)
INFO (output) 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 30*N iterations (in inner while loop) = 3, termination cri
terion of outer while loop not met (program created more than N
unreduced blocks)
LAPACK version 3.0 15 June 2000
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