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dlaqps.f(3) | LAPACK | dlaqps.f(3) |
NAME¶
dlaqps.f -SYNOPSIS¶
Functions/Subroutines¶
subroutine dlaqps (M, N, OFFSET, NB, KB, A, LDA, JPVT, TAU, VN1, VN2, AUXV, F, LDF)
Function/Subroutine Documentation¶
subroutine dlaqps (integerM, integerN, integerOFFSET, integerNB, integerKB, double precision, dimension( lda, * )A, integerLDA, integer, dimension( * )JPVT, double precision, dimension( * )TAU, double precision, dimension( * )VN1, double precision, dimension( * )VN2, double precision, dimension( * )AUXV, double precision, dimension( ldf, * )F, integerLDF)¶
DLAQPS Purpose:DLAQPS computes a step of QR factorization with column pivoting of a real M-by-N matrix A by using Blas-3. It tries to factorize NB columns from A starting from the row OFFSET+1, and updates all of the matrix with Blas-3 xGEMM. In some cases, due to catastrophic cancellations, it cannot factorize NB columns. Hence, the actual number of factorized columns is returned in KB. Block A(1:OFFSET,1:N) is accordingly pivoted, but not factorized.
M
N
OFFSET
NB
KB
A
LDA
JPVT
TAU
VN1
VN2
AUXV
F
LDF
Author:
M is INTEGER The number of rows of the matrix A. M >= 0.
N is INTEGER The number of columns of the matrix A. N >= 0
OFFSET is INTEGER The number of rows of A that have been factorized in previous steps.
NB is INTEGER The number of columns to factorize.
KB is INTEGER The number of columns actually factorized.
A is DOUBLE PRECISION array, dimension (LDA,N) On entry, the M-by-N matrix A. On exit, block A(OFFSET+1:M,1:KB) is the triangular factor obtained and block A(1:OFFSET,1:N) has been accordingly pivoted, but no factorized. The rest of the matrix, block A(OFFSET+1:M,KB+1:N) has been updated.
LDA is INTEGER The leading dimension of the array A. LDA >= max(1,M).
JPVT is INTEGER array, dimension (N) JPVT(I) = K <==> Column K of the full matrix A has been permuted into position I in AP.
TAU is DOUBLE PRECISION array, dimension (KB) The scalar factors of the elementary reflectors.
VN1 is DOUBLE PRECISION array, dimension (N) The vector with the partial column norms.
VN2 is DOUBLE PRECISION array, dimension (N) The vector with the exact column norms.
AUXV is DOUBLE PRECISION array, dimension (NB) Auxiliar vector.
F is DOUBLE PRECISION array, dimension (LDF,NB) Matrix F**T = L*Y**T*A.
LDF is INTEGER The leading dimension of the array F. LDF >= max(1,N).
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Date:
November 2011
Contributors:
G. Quintana-Orti, Depto. de Informatica,
Universidad Jaime I, Spain X. Sun, Computer Science Dept., Duke University,
USA
Partial column norm updating strategy modified on April 2011 Z. Drmac and Z. Bujanovic, Dept. of Mathematics, University of Zagreb, Croatia.
References:
Partial column norm updating strategy modified on April 2011 Z. Drmac and Z. Bujanovic, Dept. of Mathematics, University of Zagreb, Croatia.
LAPACK Working Note 176
Author¶
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