SRC/dorbdb4.f(3)
π¦ SRC/dorbdb4.f β Library Functions Manual π¦
okay bestie, this is the manual page for SRC/dorbdb4.f. Itβs giving LAPACK Fortran routine, and weβre keeping every single parameter, condition, and footnote. no cap. π
β¨ NAME β¨
SRC/dorbdb4.f β the source file for the dorbdb4 routine. The original NAME section is literally just SRC/dorbdb4.f; weβre not gonna pretend otherwise. π«Ά
π SYNOPSIS π
Functions/Subroutines
subroutine dorbdb4 (m, p, q, x11, ldx11, x21, ldx21, theta, phi, taup1,
taup2, tauq1, phantom, work, lwork, info)
DORBDB4
π Function/Subroutine Documentation π
subroutine dorbdb4 (integer m, integer p, integer q, double precision,
dimension(ldx11,*) x11, integer ldx11, double precision,
dimension(ldx21,*) x21, integer ldx21, double precision, dimension(*)
theta, double precision, dimension(*) phi, double precision,
dimension(*) taup1, double precision, dimension(*) taup2, double
precision, dimension(*) tauq1, double precision, dimension(*) phantom,
double precision, dimension(*) work, integer lwork, integer info)
DORBDB4
Purpose
okay so DORBDB4 simultaneously bidiagonalizes the blocks of a tall and skinny matrix X with orthonormal columns. The source draws this exact diagram:
!>
!> [ B11 ]
!> [ X11 ] [ P1 | ] [ 0 ]
!> [-----] = [---------] [-----] Q1**T .
!> [ X21 ] [ | P2 ] [ B21 ]
!> [ 0 ]
!>
X11 is P-by-Q, and X21 is (M-P)-by-Q. M-Q must be no larger than P, M-P, or Q. Routines DORBDB1, DORBDB2, and DORBDB3 handle cases in which M-Q is not the minimum dimension. iykyk. π¦
The orthogonal matrices P1, P2, and Q1 are P-by-P, (M-P)-by-(M-P), and (M-Q)-by-(M-Q), respectively. They are represented implicitly by Householder vectors.
B11 and B12 are (M-Q)-by-(M-Q) bidiagonal matrices represented implicitly by angles THETA, PHI. Yes, the source says B12 right there β weβre keeping it exactly as written, bestie. π
Parameters
MβINTEGER. The number of rows inX11plus the number of rows inX21.PβINTEGER. The number of rows inX11.0 <= P <= M.QβINTEGER. The number of columns inX11andX21.0 <= Q <= MandM-Q <= min(P,M-P,Q).X11βDOUBLE PRECISION array, dimension (LDX11,Q). On entry, the top block of the matrixXto be reduced. On exit, the columns oftril(X11)specify reflectors forP1and the rows oftriu(X11,1)specify reflectors forQ1.LDX11βINTEGER. The leading dimension ofX11.LDX11 >= P.X21βDOUBLE PRECISION array, dimension (LDX21,Q). On entry, the bottom block of the matrixXto be reduced. On exit, the columns oftril(X21)specify reflectors forP2.LDX21βINTEGER. The leading dimension ofX21.LDX21 >= M-P.THETAβDOUBLE PRECISION array, dimension (Q). The entries of the bidiagonal blocksB11,B21are defined byTHETAandPHI. See Further Details.PHIβDOUBLE PRECISION array, dimension (Q-1). The entries of the bidiagonal blocksB11,B21are defined byTHETAandPHI. See Further Details.TAUP1βDOUBLE PRECISION array, dimension (M-Q). The scalar factors of the elementary reflectors that defineP1.TAUP2βDOUBLE PRECISION array, dimension (M-Q). The scalar factors of the elementary reflectors that defineP2.TAUQ1βDOUBLE PRECISION array, dimension (Q). The scalar factors of the elementary reflectors that defineQ1.PHANTOMβDOUBLE PRECISION array, dimension (M). The routine computes anM-by-1column vectorYthat is orthogonal to the columns of[ X11; X21 ].PHANTOM(1:P)andPHANTOM(P+1:M)contain Householder vectors forY(1:P)andY(P+1:M), respectively.WORKβDOUBLE PRECISION array, dimension (LWORK).LWORKβINTEGER. The dimension of the arrayWORK.LWORK >= M-Q.
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.
INFOβINTEGER.= 0: successful exit.< 0: ifINFO = -i, thei-th argument had an illegal value.
Author
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Further Details
The upper-bidiagonal blocks B11, B21 are represented implicitly by angles THETA(1), ..., THETA(Q) and PHI(1), ..., PHI(Q-1). Every entry in each bidiagonal band is a product of a sine or cosine of a THETA with a sine or cosine of a PHI. See [1] or DORCSD for details.
P1, P2, and Q1 are represented as products of elementary reflectors. See DORCSD2BY1 for details on generating P1, P2, and Q1 using DORGQR and DORGLQ.
References
[1] Brian D. Sutton. Computing the complete CS decomposition. Numer. Algorithms, 50(1):33-65, 2009.
Definition at line 210 of file dorbdb4.f.
Definition at line 210 of file dorbdb4.f.
Author
Generated automatically by Doxygen for LAPACK from the source code.
Thatβs the whole tea, bestie: LAPACK Version 3.12.0, SRC/dorbdb4.f(3) β and the footer didnβt hand us a date, so no fake date energy here. π
β¨π
π¦ where this page comes from
- arch rolling: lapack-doc 3.12.1-2 Β· custom
- π girlified by deepseek-ai/DeepSeek-V4.1-Flash-1017 on : a language model's rewrite of the original, under its terms