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 >= 0
NRHS
NRHS is INTEGER
The number of right hand sides, i.e., the number of
columns of the matrix B. NRHS >= 0.
IOFFSET
IOFFSET is INTEGER
The number of rows of the matrix A that must be pivoted
but not factorized. IOFFSET >= 0.
IOFFSET also represents the number of columns of the whole
original matrix A_orig that have been factorized
in the previous steps.
NB
NB is INTEGER
Factorization block size, i.e the number of columns
to factorize in the matrix A. 0 <= NB
If NB = 0, then the routine exits immediately.
This means that the factorization is not performed,
the matrices A and B and the arrays TAU, IPIV
are not modified.
ABSTOL
ABSTOL is REAL, cannot be NaN.
The absolute tolerance (stopping threshold) for
maximum column 2-norm of the residual matrix.
The algorithm converges (stops the factorization) when
the maximum column 2-norm of the residual matrix
is less than or equal to ABSTOL.
a) If ABSTOL < 0.0, then this stopping criterion is not
used, the routine factorizes columns depending
on NB and RELTOL.
This includes the case ABSTOL = -Inf.
b) If 0.0 <= ABSTOL then the input value
of ABSTOL is used.
RELTOL
RELTOL is REAL, cannot be NaN.
The tolerance (stopping threshold) for the ratio of the
maximum column 2-norm of the residual matrix to the maximum
column 2-norm of the original matrix A_orig. The algorithm
converges (stops the factorization), when this ratio is
less than or equal to RELTOL.
a) If RELTOL < 0.0, then this stopping criterion is not
used, the routine factorizes columns depending
on NB and ABSTOL.
This includes the case RELTOL = -Inf.
d) If 0.0 <= RELTOL then the input value of RELTOL
is used.
KP1
KP1 is INTEGER
The index of the column with the maximum 2-norm in
the whole original matrix A_orig determined in the
main routine SGEQP3RK. 1 <= KP1 <= N_orig.
MAXC2NRM
MAXC2NRM is REAL
The maximum column 2-norm of the whole original
matrix A_orig computed in the main routine SGEQP3RK.
MAXC2NRM >= 0.
A
A is REAL array, dimension (LDA,N+NRHS)
On entry:
the M-by-N matrix A and M-by-NRHS matrix B, as in
N NRHS
array_A = M [ mat_A, mat_B ]
On exit:
1. The elements in block A(IOFFSET+1:M,1:KB) below
the diagonal together with the array TAU represent
the orthogonal matrix Q(KB) as a product of elementary
reflectors.
2. The upper triangular block of the matrix A stored
in A(IOFFSET+1:M,1:KB) is the triangular factor obtained.
3. The block of the matrix A stored in A(1:IOFFSET,1:N)
has been accordingly pivoted, but not factorized.
4. The rest of the array A, block A(IOFFSET+1:M,KB+1:N+NRHS).
The left part A(IOFFSET+1:M,KB+1:N) of this block
contains the residual of the matrix A, and,
if NRHS > 0, the right part of the block
A(IOFFSET+1:M,N+1:N+NRHS) contains the block of
the right-hand-side matrix B. Both these blocks have been
updated by multiplication from the left by Q(KB)**T.
LDA
LDA is INTEGER
The leading dimension of the array A. LDA >= max(1,M).
.RE
verbatim DONE is LOGICAL TRUE: a) if the factorization completed
before processing all min(M-IOFFSET,NB,N) columns due to ABSTOL or RELTOL
criterion, b) if the factorization completed before processing all
min(M-IOFFSET,NB,N) columns due to the residual matrix being a ZERO matrix.
c) when NaN was detected in the matrix A or in the array TAU. FALSE:
otherwise.
Parameters
KB
KB is INTEGER
Factorization rank of the matrix A, i.e. the rank of
the factor R, which is the same as the number of non-zero
rows of the factor R. 0 <= KB <= min(M-IOFFSET,NB,N).
KB also represents the number of non-zero Householder
vectors.
MAXC2NRMK
MAXC2NRMK is REAL
The maximum column 2-norm of the residual matrix,
when the factorization stopped at rank KB. MAXC2NRMK >= 0.
RELMAXC2NRMK
RELMAXC2NRMK is REAL
The ratio MAXC2NRMK / MAXC2NRM of the maximum column
2-norm of the residual matrix (when the factorization
stopped at rank KB) to the maximum column 2-norm of the
original matrix A_orig. RELMAXC2NRMK >= 0.
JPIV
JPIV is INTEGER array, dimension (N)
Column pivot indices, for 1 <= j <= N, column j
of the matrix A was interchanged with column JPIV(j).
TAU
TAU is REAL array, dimension (min(M-IOFFSET,N))
The scalar factors of the elementary reflectors.
VN1
VN1 is REAL array, dimension (N)
The vector with the partial column norms.
VN2
VN2 is REAL array, dimension (N)
The vector with the exact column norms.
AUXV
AUXV is REAL array, dimension (NB)
Auxiliary vector.
F
F is REAL array, dimension (LDF,NB)
Matrix F**T = L*(Y**T)*A.
LDF
LDF is INTEGER
The leading dimension of the array F. LDF >= max(1,N+NRHS).
IWORK
IWORK is INTEGER array, dimension (N-1).
Is a work array. ( IWORK is used to store indices
of 'bad' columns for norm downdating in the residual
matrix ).
INFO
INFO is INTEGER
1) INFO = 0: successful exit.
2) If INFO = j_1, where 1 <= j_1 <= N, then NaN was
detected and the routine stops the computation.
The j_1-th column of the matrix A or the j_1-th
element of array TAU contains the first occurrence
of NaN in the factorization step KB+1 ( when KB columns
have been factorized ).
On exit:
KB is set to the number of
factorized columns without
exception.
MAXC2NRMK is set to NaN.
RELMAXC2NRMK is set to NaN.
TAU(KB+1:min(M,N)) is not set and contains undefined
elements. If j_1=KB+1, TAU(KB+1)
may contain NaN.
3) If INFO = j_2, where N+1 <= j_2 <= 2*N, then no NaN
was detected, but +Inf (or -Inf) was detected and
the routine continues the computation until completion.
The (j_2-N)-th column of the matrix A contains the first
occurrence of +Inf (or -Inf) in the actorization
step KB+1 ( when KB columns have been factorized ).
Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
References:
[1] A Level 3 BLAS QR factorization algorithm with column
pivoting developed in 1996. G. Quintana-Orti, Depto. de Informatica,
Universidad Jaime I, Spain. X. Sun, Computer Science Dept., Duke University,
USA. C. H. Bischof, Math. and Comp. Sci. Div., Argonne National Lab, USA. A
BLAS-3 version of the QR factorization with column pivoting. LAPACK Working
Note 114 and in SIAM J. Sci. Comput., 19(5):1486-1494, Sept. 1998.
[2] A partial column norm updating strategy developed in 2006. Z.
Drmac and Z. Bujanovic, Dept. of Math., University of Zagreb, Croatia. On
the failure of rank revealing QR factorization software – a case
study. LAPACK Working Note 176. and in ACM Trans. Math. Softw. 35, 2,
Article 12 (July 2008), 28 pages.
Contributors:
November 2023, Igor Kozachenko, James Demmel,
EECS Department,
University of California, Berkeley, USA.
Definition at line 398 of file slaqp3rk.f.