SRC/sormbr.f(3)
πΈ NAME
SRC/sormbr.f β okay so bestie, this is the page from the Library Functions Manual, and it's literally all about the SORMBR subroutine. we're gonna get into every single detail together, no skips π
β¨ SYNOPSIS
Functions/Subroutines
here's the function vibe check:
subroutine sormbr (vect, side, trans, m, n, k, a, lda, tau, c, ldc,
work, lwork, info)
SORMBR
π FUNCTION/SUBROUTINE DOCUMENTATION
the full signature is giving very "linear algebra main character energy" π
subroutine sormbr (character vect, character side, character trans, integer
m, integer n, integer k, real, dimension( lda, * ) a, integer lda, real,
dimension( * ) tau, real, dimension( ldc, * ) c, integer ldc, real,
dimension( * ) work, integer lwork, integer info)
SORMBR
π Purpose
okay so here's the tea β: if VECT = 'Q', SORMBR overwrites the general real M-by-N matrix C with
SIDE = 'L' SIDE = 'R'
TRANS = 'N': Q * C C * Q
TRANS = 'T': Q**T * C C * Q**T
and if VECT = 'P', SORMBR overwrites the general real M-by-N matrix C with
SIDE = 'L' SIDE = 'R'
TRANS = 'N': P * C C * P
TRANS = 'T': P**T * C C * P**T
Here Q and P**T are the orthogonal matrices determined by SGEBRD when reducing a real matrix A to bidiagonal form: A = Q * B * P**T. Q and P**T 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 orthogonal matrix Q or P**T 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).
π Parameters
π VECT
VECT is CHARACTER*1
= 'Q': applyQorQ**T;= 'P': applyPorP**T.
π¦ SIDE
SIDE is CHARACTER*1
= 'L': applyQ,Q**T,PorP**Tfrom the Left;= 'R': applyQ,Q**T,PorP**Tfrom the Right.
π TRANS
TRANS is CHARACTER*1
= 'N': No transpose, applyQ or P;= 'T': Transpose, applyQ**TorP**T.
πΈ M
M is INTEGER
The number of rows of the matrix C. M >= 0.
π N
N is INTEGER
The number of columns of the matrix C. N >= 0.
π§ K
K is INTEGER
If VECT = 'Q', the number of columns in the original matrix reduced by SGEBRD.
If VECT = 'P', the number of rows in the original matrix reduced by SGEBRD.
K >= 0.
π₯ A
A is REAL 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 SGEBRD.
π LDA
LDA is INTEGER
The leading dimension of the array A.
If VECT = 'Q', LDA >= max(1,nq); if VECT = 'P', LDA >= max(1,min(nq,K)).
π TAU
TAU is REAL 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 SGEBRD in the array argument TAUQ or TAUP.
π C
C is REAL array, dimension (LDC,N)
On entry, the M-by-N matrix C.
On exit, C is overwritten by Q*C or Q**T*C or C*Q**T or C*Q or P*C or P**T*C or C*P or C*P**T.
π«Ά LDC
LDC is INTEGER
The leading dimension of the array C. LDC >= max(1,M).
β WORK
WORK is REAL array, dimension (MAX(1,LWORK))
On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
π LWORK
LWORK is 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.
okay bestie, special case: ifLWORK = -1, then a workspace query is assumed; the routine only calculates the optimal size of theWORKarray, returns this value as the first entry of theWORKarray, and no error message related toLWORKis issued byXERBLA.
π INFO
INFO is INTEGER
= 0: successful exit< 0: ifINFO = -i, the i-th argument had an illegal value
π Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Definition at line 194 of file sormbr.f.
π Author
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