?gsvj0

Pre-processor for the routine ?gesvj.

Syntax

call sgsvj0(jobv, m, n, a, lda, d, sva, mv, v, ldv, eps, sfmin, tol, nsweep, work, lwork, info)

call dgsvj0(jobv, m, n, a, lda, d, sva, mv, v, ldv, eps, sfmin, tol, nsweep, work, lwork, info)

Include Files

  • mkl.fi

Description

This routine is called from ?gesvj as a pre-processor and that is its main purpose. It applies Jacobi rotations in the same way as ?gesvj does, but it does not check convergence (stopping criterion).

The routine ?gsvj0 enables ?gesvj to use a simplified version of itself to work on a submatrix of the original matrix.

Input Parameters

jobv

CHARACTER*1. Must be 'V', 'A', or 'N'.

Specifies whether the output from this routine is used to compute the matrix V.

If jobv = 'V', the product of the Jacobi rotations is accumulated by post-multiplying the n-by-n array v.

If jobv = 'A', the product of the Jacobi rotations is accumulated by post-multiplying the mv-by-n array v.

If jobv = 'N', the Jacobi rotations are not accumulated.

m

INTEGER. The number of rows of the input matrix A (m 0).

n

INTEGER. The number of columns of the input matrix B (m n 0).

a

REAL for sgsvj0

DOUBLE PRECISION for dgsvj0.

Arrays, DIMENSION (lda, *). Contains the m-by-n matrix A, such that A*diag(D) represents the input matrix. The second dimension of a must be at least max(1, n).

lda

INTEGER. The leading dimension of a; at least max(1, m).

d

REAL for sgsvj0

DOUBLE PRECISION for dgsvj0.

Arrays, DIMENSION (n). Contains the diagonal matrix D that accumulates the scaling factors from the fast scaled Jacobi rotations. On entry A*diag(D) represents the input matrix.

sva

REAL for sgsvj0

DOUBLE PRECISION for dgsvj0.

Arrays, DIMENSION (n). Contains the Euclidean norms of the columns of the matrix A*diag(D).

mv

INTEGER. The leading dimension of b; at least max(1, p).

If jobv = 'A', then mv rows of v are post-multiplied by a sequence of Jacobi rotations.

If jobv = 'N', then mv is not referenced .

v

REAL for sgsvj0

DOUBLE PRECISION for dgsvj0.

Array, DIMENSION (ldv, *). The second dimension of a must be at least max(1, n).

If jobv = 'V', then n rows of v are post-multiplied by a sequence of Jacobi rotations.

If jobv = 'A', then mv rows of v are post-multiplied by a sequence of Jacobi rotations.

If jobv = 'N', then v is not referenced.

ldv

INTEGER. The leading dimension of the array v; ldv 1

ldv n if jobv = 'V';

ldv mv if jobv = 'A'.

eps

REAL for sgsvj0

DOUBLE PRECISION for dgsvj0.

The relative machine precision (epsilon) returned by the routine ?lamch.

sfmin

REAL for sgsvj0

DOUBLE PRECISION for dgsvj0.

Value of safe minimum returned by the routine ?lamch.

tol

REAL for sgsvj0

DOUBLE PRECISION for dgsvj0.

The threshold for Jacobi rotations. For a pair A(:,p), A(:,q) of pivot columns, the Jacobi rotation is applied only if abs(cos(angle(A(:,p),A(:,q))))> tol.

nsweep

INTEGER.

The number of sweeps of Jacobi rotations to be performed.

work

REAL for sgsvj0

DOUBLE PRECISION for dgsvj0.

Workspace array, DIMENSION (lwork).

lwork

INTEGER. The size of the array work; at least max(1, m).

Output Parameters

a

On exit, A*diag(D) represents the input matrix post-multiplied by a sequence of Jacobi rotations, where the rotation threshold and the total number of sweeps are given in tol and nsweep, respectively

d

On exit, A*diag(D) represents the input matrix post-multiplied by a sequence of Jacobi rotations, where the rotation threshold and the total number of sweeps are given in tol and nsweep, respectively.

sva

On exit, contains the Euclidean norms of the columns of the output matrix A*diag(D).

v

If jobv = 'V', then n rows of v are post-multiplied by a sequence of Jacobi rotations.

If jobv = 'A', then mv rows of v are post-multiplied by a sequence of Jacobi rotations.

If jobv = 'N', then v is not referenced.

info

INTEGER.

If info = 0, the execution is successful.

If info = -i, the i-th parameter had an illegal value.

For more complete information about compiler optimizations, see our Optimization Notice.