zlaswlq.f - Online Linux Manual Page
Section : 3
Updated : Tue Nov 14 2017
Source : Version 3.8.0
Note : LAPACK
NAMEzlaswlq.f
SYNOPSIS
Functions/Subroutinessubroutine zlaswlq (M, N, MB, NB, A, LDA, T, LDT, WORK, LWORK, INFO)
Function/Subroutine Documentation
subroutine zlaswlq (integer M, integer N, integer MB, integer NB, complex*16, dimension( lda, * ) A, integer LDA, complex*16, dimension( ldt, *) T, integer LDT, complex*16, dimension( * ) WORK, integer LWORK, integer INFO)Purpose: ZLASWLQ computes a blocked Short-Wide LQ factorization of a M-by-N matrix A, where N >= M: A = L * Q Parameters: M M is INTEGER
The number of rows of the matrix A. M >= 0.
N N is INTEGER
The number of columns of the matrix A. N >= M >= 0.
MB MB is INTEGER
The row block size to be used in the blocked QR.
M >= MB >= 1
NB NB is INTEGER
The column block size to be used in the blocked QR.
NB > M.
A A is COMPLEX*16 array, dimension (LDA,N)
On entry, the M-by-N matrix A.
On exit, the elements on and below the diagonal
of the array contain the N-by-N lower triangular matrix L;
the elements above the diagonal represent Q by the rows
of blocked V (see Further Details).
LDA LDA is INTEGER
The leading dimension of the array A. LDA >= max(1,M).
T T is COMPLEX*16 array,
dimension (LDT, N * Number_of_row_blocks)
where Number_of_row_blocks = CEIL((N-M)/(NB-M))
The blocked upper triangular block reflectors stored in compact form
as a sequence of upper triangular blocks.
See Further Details below.
LDT LDT is INTEGER
The leading dimension of the array T. LDT >= MB.
WORK (workspace) COMPLEX*16 array, dimension (MAX(1,LWORK))
LWORK The dimension of the array WORK. LWORK >= MB*M.
If LWORK = -1, then a workspace query is assumed; the routine
only calculates the optimal size of the WORK array, returns
this value as the first entry of the WORK array, and no error
message related to LWORK is issued by XERBLA.
INFO INFO is INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal valueAuthor: Univ. of Tennessee Univ. of California Berkeley Univ. of Colorado Denver NAG Ltd. Further Details: Short-Wide LQ (SWLQ) performs LQ by a sequence of orthogonal transformations, representing Q as a product of other orthogonal matrices Q = Q(1) * Q(2) * . . . * Q(k) where each Q(i) zeros out upper diagonal entries of a block of NB rows of A: Q(1) zeros out the upper diagonal entries of rows 1:NB of A Q(2) zeros out the bottom MB-N rows of rows [1:M,NB+1:2*NB-M] of A Q(3) zeros out the bottom MB-N rows of rows [1:M,2*NB-M+1:3*NB-2*M] of A . . . Q(1) is computed by GELQT, which represents Q(1) by Householder vectors stored under the diagonal of rows 1:MB of A, and by upper triangular block reflectors, stored in array T(1:LDT,1:N). For more information see Further Details in GELQT. Q(i) for i>1 is computed by TPLQT, which represents Q(i) by Householder vectors stored in columns [(i-1)*(NB-M)+M+1:i*(NB-M)+M] of A, and by upper triangular block reflectors, stored in array T(1:LDT,(i-1)*M+1:i*M). The last Q(k) may use fewer rows. For more information see Further Details in TPQRT. For more details of the overall algorithm, see the description of Sequential TSQR in Section 2.2 of [1]. [1] “Communication-Optimal Parallel and Sequential QR and LU Factorizations,” J. Demmel, L. Grigori, M. Hoemmen, J. Langou, SIAM J. Sci. Comput, vol. 34, no. 1, 2012 Definition at line 152 of file zlaswlq.f.
AuthorGenerated automatically by Doxygen for LAPACK from the source code. 0
Johanes Gumabo
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