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CLAQP2(1) LAPACK auxiliary routine (version 3.2) CLAQP2(1)

NAME

CLAQP2 - computes a QR factorization with column pivoting of the block A(OFFSET+1:M,1:N)

SYNOPSIS

M, N, OFFSET, A, LDA, JPVT, TAU, VN1, VN2, WORK )

INTEGER LDA, M, N, OFFSET INTEGER JPVT( * ) REAL VN1( * ), VN2( * ) COMPLEX A( LDA, * ), TAU( * ), WORK( * )

PURPOSE

CLAQP2 computes a QR factorization with column pivoting of the block A(OFFSET+1:M,1:N). The block A(1:OFFSET,1:N) is accordingly pivoted, but not factorized.

ARGUMENTS

The number of rows of the matrix A. M >= 0.
The number of columns of the matrix A. N >= 0.
The number of rows of the matrix A that must be pivoted but no factorized. OFFSET >= 0.
On entry, the M-by-N matrix A. On exit, the upper triangle of block A(OFFSET+1:M,1:N) is the triangular factor obtained; the elements in block A(OFFSET+1:M,1:N) below the diagonal, together with the array TAU, represent the orthogonal matrix Q as a product of elementary reflectors. Block A(1:OFFSET,1:N) has been accordingly pivoted, but no factorized.
The leading dimension of the array A. LDA >= max(1,M).
On entry, if JPVT(i) .ne. 0, the i-th column of A is permuted to the front of A*P (a leading column); if JPVT(i) = 0, the i-th column of A is a free column. On exit, if JPVT(i) = k, then the i-th column of A*P was the k-th column of A.
The scalar factors of the elementary reflectors.
The vector with the partial column norms.
The vector with the exact column norms.

FURTHER DETAILS

Based on contributions by
G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain
X. Sun, Computer Science Dept., Duke University, USA
Partial column norm updating strategy modified by
Z. Drmac and Z. Bujanovic, Dept. of Mathematics,
University of Zagreb, Croatia.
June 2006.
For more details see LAPACK Working Note 176.

November 2008 LAPACK auxiliary routine (version 3.2)