CUNMBR(3)
π CUNMBR(3) π
/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/cunmbr.f
Okay bestie, welcome to the CUNMBR(3) page from the Library Functions Manual β this is the file it documents, fr.
β¨ SYNOPSIS β¨
π§ Functions/Subroutines π§
subroutine CUNMBR (vect, side, trans, m, n, k, a, lda, tau, c, ldc,
work, lwork, info)
CUNMBR
π Function/Subroutine Documentation π
subroutine CUNMBR (character vect, character side, character trans, integer
m, integer n, integer k, complex, dimension( lda, * ) a, integer lda,
complex, dimension( * ) tau, complex, dimension( ldc, * ) c, integer
ldc, complex, dimension( * ) work, integer lwork, integer info)
CUNMBR
π Purpose π
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).
π Parameters π
VECTβVECT is CHARACTER*1= 'Q': apply Q or Q**H;= 'P': apply P or P**H.
SIDEβSIDE is CHARACTER*1= 'L': apply Q, QH, P or PH from the Left;= 'R': apply Q, QH, P or PH from the Right.
TRANSβTRANS is CHARACTER*1= 'N': No transpose, apply Q or P;= 'C': Conjugate transpose, apply QH or PH.
MβM is INTEGER; the number of rows of the matrix C.M >= 0.NβN is INTEGER; the number of columns of the matrix C.N >= 0.KβK is INTEGER; ifVECT = 'Q', the number of columns in the original matrix reduced byCGEBRD. IfVECT = 'P', the number of rows in the original matrix reduced byCGEBRD.K >= 0.AβA is COMPLEX array, dimension(LDA,min(nq,K))ifVECT = 'Q'(LDA,nq)ifVECT = '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.
LDAβLDA is INTEGER; the leading dimension of the array A. IfVECT = 'Q',LDA >= max(1,nq); ifVECT = 'P',LDA >= max(1,min(nq,K)).TAUβTAU is COMPLEX array, dimension(min(nq,K)).TAU(i)must contain the scalar factor of the elementary reflectorH(i)orG(i)which determines Q or P, as returned byCGEBRDin the array argumentTAUQorTAUP.CβC is COMPLEX array, dimension(LDC,N). On entry, the M-by-N matrix C. On exit, C is overwritten byQ*CorQ**H*CorC*Q**HorC*QorP*CorP**H*CorC*PorC*P**H.LDCβLDC is INTEGER; the leading dimension of the array C.LDC >= max(1,M).WORKβWORK is COMPLEX array, dimension(MAX(1,LWORK)). On exit, ifINFO = 0,WORK(1)returns the optimalLWORK.LWORKβLWORK is INTEGER; the dimension of the array WORK.- If
SIDE = 'L',LWORK >= max(1,N); - if
SIDE = 'R',LWORK >= max(1,M); - if
N = 0orM = 0,LWORK >= 1. - For optimum performance
LWORK >= max(1,N*NB)ifSIDE = 'L', andLWORK >= max(1,M*NB)ifSIDE = 'R', where NB is the optimal blocksize. (NB = 0ifM = 0orN = 0.) - 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 byXERBLA.
- If
INFOβINFO is INTEGER= 0: successful exit< 0: ifINFO = -i, the i-th argument had an illegal value
π«Ά Author π«Ά
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Definition at line 195 of file cunmbr.f.
π Author π
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