unbdb3(3)
πΈ NAME πΈ
unbdb3 β {un,or}bdb3: step in uncsd2by1 π
β¨ SYNOPSIS β¨
π Functions π
subroutine cunbdb3 (m, p, q, x11, ldx11, x21, ldx21, theta, phi, taup1,
taup2, tauq1, work, lwork, info)
CUNBDB3
subroutine dorbdb3 (m, p, q, x11, ldx11, x21, ldx21, theta, phi, taup1,
taup2, tauq1, work, lwork, info)
DORBDB3
subroutine sorbdb3 (m, p, q, x11, ldx11, x21, ldx21, theta, phi, taup1,
taup2, tauq1, work, lwork, info)
SORBDB3
subroutine zunbdb3 (m, p, q, x11, ldx11, x21, ldx21, theta, phi, taup1,
taup2, tauq1, work, lwork, info)
ZUNBDB3
π Detailed Description π
okay so this is where the function-by-function details kick in, and they are very much giving linear algebra main character energy π
π₯ Function Documentation π₯
π subroutine cunbdb3 π
subroutine cunbdb3 (integer m, integer p, integer q, complex,
dimension(ldx11,*) x11, integer ldx11, complex, dimension(ldx21,*) x21,
integer ldx21, real, dimension(*) theta, real, dimension(*) phi,
complex, dimension(*) taup1, complex, dimension(*) taup2, complex,
dimension(*) tauq1, complex, dimension(*) work, integer lwork, integer
info)
CUNBDB3
π« Purpose
okay so CUNBDB3 is out here doing the absolute most in the best way: it simultaneously bidiagonalizes the blocks of a tall and skinny matrix X with orthonormal columns. The decomposition is giving:
[ B11 ]
[ X11 ] [ P1 | ] [ 0 ]
[-----] = [---------] [-----] Q1**T .
[ X21 ] [ | P2 ] [ B21 ]
[ 0 ]
X11 is P-by-Q, and X21 is (M-P)-by-Q. M-P must be no larger than P, Q, or M-Q. Routines CUNBDB1, CUNBDB2, and CUNBDB4 handle cases in which M-P is not the minimum dimension.
The unitary 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-P)-by-(M-P) bidiagonal matrices represented implicitly by angles THETA, PHI.
π«Ά Parameters
MβMisINTEGER. The number of rowsX11plus the number of rows inX21.PβPisINTEGER. The number of rows inX11.0 <= P <= M. M-P <= min(P,Q,M-Q).QβQisINTEGER. The number of columns inX11andX21.0 <= Q <= M.X11βX11isCOMPLEXarray, 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.LDX11βLDX11isINTEGER. The leading dimension ofX11.LDX11 >= P.X21βX21isCOMPLEXarray, dimension(LDX21,Q). On entry, the bottom block of the matrixXto be reduced. On exit, the columns oftril(X21)specify reflectors forP2.LDX21βLDX21isINTEGER. The leading dimension ofX21.LDX21 >= M-P.THETAβTHETAisREALarray, dimension(Q). The entries of the bidiagonal blocksB11,B21are defined byTHETAandPHI. See Further Details.PHIβPHIisREALarray, dimension(Q-1). The entries of the bidiagonal blocksB11,B21are defined byTHETAandPHI. See Further Details.TAUP1βTAUP1isCOMPLEXarray, dimension(P). The scalar factors of the elementary reflectors that defineP1.TAUP2βTAUP2isCOMPLEXarray, dimension(M-P). The scalar factors of the elementary reflectors that defineP2.TAUQ1βTAUQ1isCOMPLEXarray, dimension(Q). The scalar factors of the elementary reflectors that defineQ1.WORKβWORKisCOMPLEXarray, 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.
INFOβINFOisINTEGER.= 0: successful exit.< 0: ifINFO = -i, thei-th argument had an illegal value.
π Author
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π¦ 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 CUNCSD for details.
P1, P2, and Q1 are represented as products of elementary reflectors. See CUNCSD2BY1 for details on generating P1, P2, and Q1 using CUNGQR and CUNGLQ.
π References
[1] Brian D. Sutton. Computing the complete CS decomposition. Numer. Algorithms, 50(1):33-65, 2009.
Definition at line 200 of file cunbdb3.f.
π subroutine dorbdb3 π
subroutine dorbdb3 (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(*) work,
integer lwork, integer info)
DORBDB3
π« Purpose
okay so DORBDB3 is the double-precision bestie doing the same simultaneous bidiagonalization glow-up on the blocks of a tall and skinny matrix X with orthonormal columns. The decomposition is giving:
[ B11 ]
[ X11 ] [ P1 | ] [ 0 ]
[-----] = [---------] [-----] Q1**T .
[ X21 ] [ | P2 ] [ B21 ]
[ 0 ]
X11 is P-by-Q, and X21 is (M-P)-by-Q. M-P must be no larger than P, Q, or M-Q. Routines DORBDB1, DORBDB2, and DORBDB4 handle cases in which M-P is not the minimum dimension.
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-P)-by-(M-P) bidiagonal matrices represented implicitly by angles THETA, PHI.
π«Ά Parameters
MβMisINTEGER. The number of rowsX11plus the number of rows inX21.PβPisINTEGER. The number of rows inX11.0 <= P <= M. M-P <= min(P,Q,M-Q).QβQisINTEGER. The number of columns inX11andX21.0 <= Q <= M.X11βX11isDOUBLE PRECISIONarray, 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.LDX11βLDX11isINTEGER. The leading dimension ofX11.LDX11 >= P.X21βX21isDOUBLE PRECISIONarray, dimension(LDX21,Q). On entry, the bottom block of the matrixXto be reduced. On exit, the columns oftril(X21)specify reflectors forP2.LDX21βLDX21isINTEGER. The leading dimension ofX21.LDX21 >= M-P.THETAβTHETAisDOUBLE PRECISIONarray, dimension(Q). The entries of the bidiagonal blocksB11,B21are defined byTHETAandPHI. See Further Details.PHIβPHIisDOUBLE PRECISIONarray, dimension(Q-1). The entries of the bidiagonal blocksB11,B21are defined byTHETAandPHI. See Further Details.TAUP1βTAUP1isDOUBLE PRECISIONarray, dimension(P). The scalar factors of the elementary reflectors that defineP1.TAUP2βTAUP2isDOUBLE PRECISIONarray, dimension(M-P). The scalar factors of the elementary reflectors that defineP2.TAUQ1βTAUQ1isDOUBLE PRECISIONarray, dimension(Q). The scalar factors of the elementary reflectors that defineQ1.WORKβWORKisDOUBLE PRECISIONarray, 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.
INFOβINFOisINTEGER.= 0: successful exit.< 0: ifINFO = -i, thei-th argument had an illegal value.
π Author
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π¦ 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 199 of file dorbdb3.f.
π¦ sorbdb3 β the single-precision icon π¦
subroutine sorbdb3 (integer m, integer p, integer q, real,
dimension(ldx11,*) x11, integer ldx11, real, dimension(ldx21,*) x21,
integer ldx21, real, dimension(*) theta, real, dimension(*) phi, real,
dimension(*) taup1, real, dimension(*) taup2, real, dimension(*) tauq1,
real, dimension(*) work, integer lwork, integer info)
SORBDB3
β¨ Purpose β¨
Okay so picture a tall, skinny matrix X with orthonormal columns, and SORBDB3 is out here simultaneously bidiagonalizing its blocks. It's giving main character energy:
[ B11 ]
[ X11 ] [ P1 | ] [ 0 ]
[-----] = [---------] [-----] Q1**T .
[ X21 ] [ | P2 ] [ B21 ]
[ 0 ]
X11 is P-by-Q, and X21 is (M-P)-by-Q. And listen: M-P must be no larger than P, Q, or M-Q. If M-P is not the minimum dimension, that's a different vibe β routines SORBDB1, SORBDB2, and SORBDB4 handle those cases.
The orthogonal matrices P1, P2, and Q1 are P-by-P, (M-P)-by-(M-P), and (M-Q)-by-(M-Q), respectively. They're represented implicitly by Householder vectors β iconic.
B11 and B12 are (M-P)-by-(M-P) bidiagonal matrices represented implicitly by angles THETA, PHI. Yes bestie, B12 β that's what the page says, no cap.
πΈ Parameters πΈ
M(INTEGER) β the number of rows inX11plus the number of rows inX21.P(INTEGER) β the number of rows inX11. Constraint:0 <= P <= M. M-P <= min(P,Q,M-Q).Q(INTEGER) β the number of columns inX11andX21. Constraint:0 <= Q <= M.X11(REALarray, dimension(LDX11,Q)) β 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.LDX11(INTEGER) β the leading dimension ofX11. Constraint:LDX11 >= P.X21(REALarray, dimension(LDX21,Q)) β on entry, the bottom block of the matrixXto be reduced. On exit, the columns oftril(X21)specify reflectors forP2.LDX21(INTEGER) β the leading dimension ofX21. Constraint:LDX21 >= M-P.THETA(REALarray, dimension(Q)) β the entries of the bidiagonal blocksB11,B21are defined byTHETAandPHI. See Further Details.PHI(REALarray, dimension(Q-1)) β the entries of the bidiagonal blocksB11,B21are defined byTHETAandPHI. See Further Details.TAUP1(REALarray, dimension(P)) β the scalar factors of the elementary reflectors that defineP1.TAUP2(REALarray, dimension(M-P)) β the scalar factors of the elementary reflectors that defineP2.TAUQ1(REALarray, dimension(Q)) β the scalar factors of the elementary reflectors that defineQ1.WORK(REALarray, dimension(LWORK)) β the work array, bestie. That's it.LWORK(INTEGER) β the dimension of the arrayWORK. Constraint:LWORK >= M-Q.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.INFO(INTEGER) β= 0: successful exit.< 0: ifINFO = -i, the i-th argument had an illegal value.
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π Further Details π
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 SORCSD for details.
P1, P2, and Q1 are represented as products of elementary reflectors. See SORCSD2BY1 for details on generating P1, P2, and Q1 using SORGQR and SORGLQ.
π References π
- [1] Brian D. Sutton. Computing the complete CS decomposition. Numer. Algorithms, 50(1):33-65, 2009.
Definition at line 200 of file sorbdb3.f.
π¦ zunbdb3 β the complex*16 edition π¦
subroutine zunbdb3 (integer m, integer p, integer q, complex*16,
dimension(ldx11,*) x11, integer ldx11, complex*16, dimension(ldx21,*)
x21, integer ldx21, double precision, dimension(*) theta, double
precision, dimension(*) phi, complex*16, dimension(*) taup1, complex*16,
dimension(*) taup2, complex*16, dimension(*) tauq1, complex*16,
dimension(*) work, integer lwork, integer info)
ZUNBDB3
β¨ Purpose β¨
Same energy, but now with COMPLEX*16 and unitary matrices. ZUNBDB3 simultaneously bidiagonalizes the blocks of a tall and skinny matrix X with orthonormal columns:
[ B11 ]
[ X11 ] [ P1 | ] [ 0 ]
[-----] = [---------] [-----] Q1**T .
[ X21 ] [ | P2 ] [ B21 ]
[ 0 ]
X11 is P-by-Q, and X21 is (M-P)-by-Q. M-P must be no larger than P, Q, or M-Q. Routines ZUNBDB1, ZUNBDB2, and ZUNBDB4 handle cases in which M-P is not the minimum dimension.
The unitary 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-P)-by-(M-P) bidiagonal matrices represented implicitly by angles THETA, PHI. Again, the page says B12 β we don't make the rules.
πΈ Parameters πΈ
M(INTEGER) β the number of rows inX11plus the number of rows inX21.P(INTEGER) β the number of rows inX11. Constraint:0 <= P <= M. M-P <= min(P,Q,M-Q).Q(INTEGER) β the number of columns inX11andX21. Constraint:0 <= Q <= M.X11(COMPLEX*16array, dimension(LDX11,Q)) β 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.LDX11(INTEGER) β the leading dimension ofX11. Constraint:LDX11 >= P.X21(COMPLEX*16array, dimension(LDX21,Q)) β on entry, the bottom block of the matrixXto be reduced. On exit, the columns oftril(X21)specify reflectors forP2.LDX21(INTEGER) β the leading dimension ofX21. Constraint:LDX21 >= M-P.THETA(DOUBLE PRECISIONarray, dimension(Q)) β the entries of the bidiagonal blocksB11,B21are defined byTHETAandPHI. See Further Details.PHI(DOUBLE PRECISIONarray, dimension(Q-1)) β the entries of the bidiagonal blocksB11,B21are defined byTHETAandPHI. See Further Details.TAUP1(COMPLEX*16array, dimension(P)) β the scalar factors of the elementary reflectors that defineP1.TAUP2(COMPLEX*16array, dimension(M-P)) β the scalar factors of the elementary reflectors that defineP2.TAUQ1(COMPLEX*16array, dimension(Q)) β the scalar factors of the elementary reflectors that defineQ1.WORK(COMPLEX*16array, dimension(LWORK)) β the work array, bestie.LWORK(INTEGER) β the dimension of the arrayWORK. Constraint:LWORK >= M-Q.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.INFO(INTEGER) β= 0: successful exit.< 0: ifINFO = -i, the i-th argument had an illegal value.
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π Further Details π
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 ZUNCSD for details.
P1, P2, and Q1 are represented as products of elementary reflectors. See ZUNCSD2BY1 for details on generating P1, P2, and Q1 using ZUNGQR and ZUNGLQ.
π References π
- [1] Brian D. Sutton. Computing the complete CS decomposition. Numer. Algorithms, 50(1):33-65, 2009.
Definition at line 199 of file zunbdb3.f.
π Author π
Generated automatically by Doxygen for LAPACK from the source code.
π And that's a wrap, bestie! This whole glow-up is from LAPACK, version3.12.0, and it's theunbdb3(3)manual page. Slay. 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