CUNMBR(l) LAPACK routine (version 1.1) CUNMBR(l)
NAME
CUNMBR - VECT = 'Q', CUNMBR overwrites the general complex M-by-N matrix C
with SIDE = 'L' SIDE = 'R' TRANS = 'N'
SYNOPSIS
SUBROUTINE CUNMBR( VECT, SIDE, TRANS, M, N, K, A, LDA, TAU, C, LDC, WORK,
LWORK, INFO )
CHARACTER SIDE, TRANS, VECT
INTEGER INFO, K, LDA, LDC, LWORK, M, N
COMPLEX A( LDA, * ), C( LDC, * ), TAU( * ), WORK( LWORK )
PURPOSE
If VECT = 'Q', CUNMBR overwrites the general complex M-by-N matrix C with
SIDE = 'L' SIDE = 'R' TRANS = 'N': Q * C
C * Q TRANS = 'C': Q**H * C C * Q**H
If VECT = 'P', CUNMBR overwrites the general complex M-by-N matrix C with
SIDE = 'L' SIDE = 'R'
TRANS = 'N': P * C C * P
TRANS = 'C': P**H * C C * P**H
Here Q and P**H are the unitary matrices determined by CGEBRD when reducing
a complex matrix A to bidiagonal form: A = Q * B * P**H. Q and P**H are
defined as products of elementary reflectors H(i) and G(i) respectively.
Let nq = m if SIDE = 'L' and nq = n if SIDE = 'R'. Thus nq is the order of
the unitary matrix Q or P**H that is applied.
If VECT = 'Q', A is assumed to have been an NQ-by-K matrix: if nq >= k, Q =
H(1) H(2) . . . H(k);
if nq < k, Q = H(1) H(2) . . . H(nq-1).
If VECT = 'P', A is assumed to have been a K-by-NQ matrix: if k < nq, P =
G(1) G(2) . . . G(k);
if k >= nq, P = G(1) G(2) . . . G(nq-1).
ARGUMENTS
VECT (input) CHARACTER*1
= 'Q': apply Q or Q**H;
= 'P': apply P or P**H.
SIDE (input) CHARACTER*1
= 'L': apply Q, Q**H, P or P**H from the Left;
= 'R': apply Q, Q**H, P or P**H from the Right.
TRANS (input) CHARACTER*1
= 'N': No transpose, apply Q or P;
= 'C': Conjugate transpose, apply Q**H or P**H.
M (input) INTEGER
The number of rows of the matrix C. M >= 0.
N (input) INTEGER
The number of columns of the matrix C. N >= 0.
K (input) INTEGER
K >= 0. If VECT = 'Q', the number of columns in the original
matrix reduced by CGEBRD. If VECT = 'P', the number of rows in the
original matrix reduced by CGEBRD.
A (input) COMPLEX array, dimension
(LDA,min(nq,K)) if VECT = 'Q' (LDA,nq) if VECT = 'P' The
vectors which define the elementary reflectors H(i) and G(i), whose
products determine the matrices Q and P, as returned by CGEBRD.
LDA (input) INTEGER
The leading dimension of the array A. If VECT = 'Q', LDA >=
max(1,nq); if VECT = 'P', LDA >= max(1,min(nq,K)).
TAU (input) COMPLEX array, dimension (min(nq,K))
TAU(i) must contain the scalar factor of the elementary reflector
H(i) or G(i) which determines Q or P, as returned by CGEBRD in the
array argument TAUQ or TAUP.
C (input/output) COMPLEX array, dimension (LDC,N)
On entry, the M-by-N matrix C. On exit, C is overwritten by Q*C or
Q**H*C or C*Q**H or C*Q or P*C or P**H*C or C*P or C*P**H.
LDC (input) INTEGER
The leading dimension of the array C. LDC >= max(1,M).
WORK (workspace) COMPLEX array, dimension (LWORK)
On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
LWORK (input) INTEGER
The dimension of the array WORK. If SIDE = 'L', LWORK >= max(1,N);
if SIDE = 'R', LWORK >= max(1,M). For optimum performance LWORK >=
N*NB if SIDE = 'L', and LWORK >= M*NB if SIDE = 'R', where NB is
the optimal blocksize.
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
Back to the listing of computational routines for orthogonal factorization and singular
value decomposition