SORBDB(3)
π SORBDB(3) β like, the manual page, but make it make sense π
okay so before we even start: this is sorbdb.f from the LAPACK SRC directory (the file path is literally /home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/sorbdb.f, and the original header calls it /home/abui...RC/sorbdb.f(3) in the Library Functions Manual). And it lives under Functions/Subroutines, bestie. We're in Fortran land. Buckle up. π¦
β¨ SYNOPSIS β¨
subroutine SORBDB (trans, signs, m, p, q, x11, ldx11, x12, ldx12, x21,
ldx21, x22, ldx22, theta, phi, taup1, taup2, tauq1, tauq2, work,
lwork, info)
SORBDB β that's the whole vibe. π
πΈ Function/Subroutine Documentation πΈ
subroutine SORBDB (character trans, character signs, integer m, integer p,
integer q, real, dimension( ldx11, * ) x11, integer ldx11, real,
dimension( ldx12, * ) x12, integer ldx12, real, dimension( ldx21, * )
x21, integer ldx21, real, dimension( ldx22, * ) x22, integer ldx22,
real, dimension( * ) theta, real, dimension( * ) phi, real, dimension( *
) taup1, real, dimension( * ) taup2, real, dimension( * ) tauq1, real,
dimension( * ) tauq2, real, dimension( * ) work, integer lwork, integer
info)
SORBDB (yes, said twice, it's that iconic π)
π«Ά Purpose:
so what does it DO. okay. SORBDB simultaneously bidiagonalizes the blocks of an M-by-M partitioned orthogonal matrix X, like this:
[ B11 | B12 0 0 ]
[ X11 | X12 ] [ P1 | ] [ 0 | 0 -I 0 ] [ Q1 | ]**T
X = [-----------] = [---------] [----------------] [---------] .
[ X21 | X22 ] [ | P2 ] [ B21 | B22 0 0 ] [ | Q2 ]
[ 0 | 0 0 I ]
X11 is P-by-Q. And here's the rule, no cap: Q must be no larger than P, M-P, or M-Q. If that's not the case, then X must be transposed and/or permuted. This can be done in constant time using the TRANS and SIGNS options. See SORCSD for details. π
The orthogonal matrices P1, P2, Q1, and Q2 are P-by-P, (M-P)-by-(M-P), Q-by-Q, and (M-Q)-by-(M-Q), respectively. They are represented implicitly by Householder vectors. π«
B11, B12, B21, and B22 are Q-by-Q bidiagonal matrices represented implicitly by angles THETA, PHI.
π§ Parameters
TRANSβTRANSisCHARACTER.= 'T':X,U1,U2,V1T, andV2Tare stored in row-major order;- otherwise:
X,U1,U2,V1T, andV2Tare stored in column-major order.
SIGNSβSIGNSisCHARACTER.= 'O': the lower-left block is made nonpositive (the convention);- otherwise: the upper-right block is made nonpositive (the convention).
MβMisINTEGER. The number of rows and columns inX. πPβPisINTEGER. The number of rows inX11andX12.0 <= P <= M.QβQisINTEGER. The number of columns inX11andX21.0 <= Q <= MIN(P,M-P,M-Q).X11βX11isREALarray, dimension(LDX11,Q). On entry, the top-left block of the orthogonal matrix to be reduced. On exit, the form depends onTRANS:- If
TRANS = 'N', then- the columns of
tril(X11)specify reflectors forP1, - the rows of
triu(X11,1)specify reflectors forQ1;
- the columns of
- else
TRANS = 'T', and- the rows of
triu(X11)specify reflectors forP1, - the columns of
tril(X11,-1)specify reflectors forQ1.
- the rows of
- If
LDX11βLDX11isINTEGER. The leading dimension ofX11. IfTRANS = 'N', thenLDX11 >= P; elseLDX11 >= Q.X12βX12isREALarray, dimension(LDX12,M-Q). On entry, the top-right block of the orthogonal matrix to be reduced. On exit, the form depends onTRANS:- If
TRANS = 'N', then- the rows of
triu(X12)specify the firstPreflectors forQ2;
- the rows of
- else
TRANS = 'T', and- the columns of
tril(X12)specify the firstPreflectors forQ2.
- the columns of
- If
LDX12βLDX12isINTEGER. The leading dimension ofX12. IfTRANS = 'N', thenLDX12 >= P; elseLDX11 >= M-Q. π (yes, that's literally what it says βLDX11in theLDX12description. i'm just the messenger, bestie. not me fixing it, the facts stay facts.)X21βX21isREALarray, dimension(LDX21,Q). On entry, the bottom-left block of the orthogonal matrix to be reduced. On exit, the form depends onTRANS:- If
TRANS = 'N', then- the columns of
tril(X21)specify reflectors forP2;
- the columns of
- else
TRANS = 'T', and- the rows of
triu(X21)specify reflectors forP2.
- the rows of
- If
LDX21βLDX21isINTEGER. The leading dimension ofX21. IfTRANS = 'N', thenLDX21 >= M-P; elseLDX21 >= Q.X22βX22isREALarray, dimension(LDX22,M-Q). On entry, the bottom-right block of the orthogonal matrix to be reduced. On exit, the form depends onTRANS:- If
TRANS = 'N', then- the rows of
triu(X22(Q+1:M-P,P+1:M-Q))specify the lastM-P-Qreflectors forQ2,
- the rows of
- else
TRANS = 'T', and- the columns of
tril(X22(P+1:M-Q,Q+1:M-P))specify the lastM-P-Qreflectors forP2.
- the columns of
- If
LDX22βLDX22isINTEGER. The leading dimension ofX22. IfTRANS = 'N', thenLDX22 >= M-P; elseLDX22 >= M-Q.THETAβTHETAisREALarray, dimension(Q). The entries of the bidiagonal blocksB11,B12,B21,B22can be computed from the anglesTHETAandPHI. See Further Details. βPHIβPHIisREALarray, dimension(Q-1). The entries of the bidiagonal blocksB11,B12,B21,B22can be computed from the anglesTHETAandPHI. See Further Details. βTAUP1βTAUP1isREALarray, dimension(P). The scalar factors of the elementary reflectors that defineP1.TAUP2βTAUP2isREALarray, dimension(M-P). The scalar factors of the elementary reflectors that defineP2.TAUQ1βTAUQ1isREALarray, dimension(Q). The scalar factors of the elementary reflectors that defineQ1.TAUQ2βTAUQ2isREALarray, dimension(M-Q). The scalar factors of the elementary reflectors that defineQ2.WORKβWORKisREALarray, dimension(LWORK).LWORKβLWORKisINTEGER. 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. π₯ (classic move β ask it how much space it wants and it just tells you.)
INFOβINFOisINTEGER.= 0: successful exit. π< 0: ifINFO = -i, the i-th argument had an illegal value. π
π Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
π Further Details:
The bidiagonal blocks B11, B12, B21, and B22 are represented implicitly by angles THETA(1), ..., THETA(Q) and PHI(1), ..., PHI(Q-1). B11 and B21 are upper bidiagonal, while B21 and B22 are lower bidiagonal. 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 SORCSD for details. π
P1, P2, Q1, and Q2 are represented as products of elementary reflectors. See SORCSD for details on generating P1, P2, Q1, and Q2 using SORGQR and SORGLQ. β¨
π References:
[1] Brian D. Sutton. Computing the complete CS decomposition. Numer. Algorithms, 50(1):33-65, 2009.
Definition at line 284 of file sorbdb.f. π
π¦ Author
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