gebd2(3)
π NAME π
okay bestie, this is gebd2(3) from the Library Functions Manual, and the function is gebd2 β gebd2: reduction to bidiagonal, level 2 β¨
π SYNOPSIS π
π Functions π
subroutine cgebd2 (m, n, a, lda, d, e, tauq, taup, work, info)β CGEBD2 reduces a general matrix to bidiagonal form using an unblocked algorithm.subroutine dgebd2 (m, n, a, lda, d, e, tauq, taup, work, info)β DGEBD2 reduces a general matrix to bidiagonal form using an unblocked algorithm.subroutine sgebd2 (m, n, a, lda, d, e, tauq, taup, work, info)β SGEBD2 reduces a general matrix to bidiagonal form using an unblocked algorithm.subroutine zgebd2 (m, n, a, lda, d, e, tauq, taup, work, info)β ZGEBD2 reduces a general matrix to bidiagonal form using an unblocked algorithm.
πΈ Detailed Description πΈ
the detailed function tea starts right here, bestie β keep scrolling π
π Function Documentation π
π subroutine cgebd2 π
subroutine cgebd2 (integer m, integer n, complex, dimension( lda, * ) a,
integer lda, real, dimension( * ) d, real, dimension( * ) e, complex,
dimension( * ) tauq, complex, dimension( * ) taup, complex, dimension( *
) work, integer info)
CGEBD2 reduces a general matrix to bidiagonal form using an unblocked algorithm.
π« Purpose π«
CGEBD2 reduces a complex general m by n matrix A to upper or lower real bidiagonal form B by a unitary transformation: Q**H * A * P = B.
If m >= n, B is upper bidiagonal; if m < n, B is lower bidiagonal.
Parameters
MβMisINTEGER. The number of rows in the matrixA.M >= 0.NβNisINTEGER. The number of columns in the matrixA.N >= 0.AβAisCOMPLEXarray, dimension(LDA,N).- On entry, the m by n general matrix to be reduced.
- On exit, if
m >= n, the diagonal and the first superdiagonal are overwritten with the upper bidiagonal matrixB; the elements below the diagonal, with the arrayTAUQ, represent the unitary matrixQas a product of elementary reflectors, and the elements above the first superdiagonal, with the arrayTAUP, represent the unitary matrixPas a product of elementary reflectors. - On exit, if
m < n, the diagonal and the first subdiagonal are overwritten with the lower bidiagonal matrixB; the elements below the first subdiagonal, with the arrayTAUQ, represent the unitary matrixQas a product of elementary reflectors, and the elements above the diagonal, with the arrayTAUP, represent the unitary matrixPas a product of elementary reflectors. - See Further Details.
LDAβLDAisINTEGER. The leading dimension of the arrayA.LDA >= max(1,M).DβDisREALarray, dimension(min(M,N)). The diagonal elements of the bidiagonal matrixB:D(i) = A(i,i).EβEisREALarray, dimension(min(M,N)-1). The off-diagonal elements of the bidiagonal matrixB:- if
m >= n,E(i) = A(i,i+1)fori = 1,2,...,n-1; - if
m < n,E(i) = A(i+1,i)fori = 1,2,...,m-1.
- if
TAUQβTAUQisCOMPLEXarray, dimension(min(M,N)). The scalar factors of the elementary reflectors which represent the unitary matrixQ. See Further Details.TAUPβTAUPisCOMPLEXarray, dimension(min(M,N)). The scalar factors of the elementary reflectors which represent the unitary matrixP. See Further Details.WORKβWORKisCOMPLEXarray, dimension(max(M,N)).INFOβINFOisINTEGER.= 0: successful exit.< 0: ifINFO = -i, thei-th argument had an illegal value.
π«Ά Author π«Ά
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π¦ Further Details π¦
The matrices Q and P are represented as products of elementary reflectors:
If m >= n,
Q = H(1) H(2) . . . H(n) and P = G(1) G(2) . . . G(n-1)
Each H(i) and G(i) has the form:
H(i) = I - tauq * v * v**H and G(i) = I - taup * u * u**H
where tauq and taup are complex scalars, and v and u are complex vectors; v(1:i-1) = 0, v(i) = 1, and v(i+1:m) is stored on exit in A(i+1:m,i); u(1:i) = 0, u(i+1) = 1, and u(i+2:n) is stored on exit in A(i,i+2:n); tauq is stored in TAUQ(i) and taup in TAUP(i).
If m < n,
Q = H(1) H(2) . . . H(m-1) and P = G(1) G(2) . . . G(m)
Each H(i) and G(i) has the form:
H(i) = I - tauq * v * v**H and G(i) = I - taup * u * u**H
where tauq and taup are complex scalars, v and u are complex vectors; v(1:i) = 0, v(i+1) = 1, and v(i+2:m) is stored on exit in A(i+2:m,i); u(1:i-1) = 0, u(i) = 1, and u(i+1:n) is stored on exit in A(i,i+1:n); tauq is stored in TAUQ(i) and taup in TAUP(i).
The contents of A on exit are illustrated by the following examples:
m = 6 and n = 5 (m > n): m = 5 and n = 6 (m < n):
( d e u1 u1 u1 ) ( d u1 u1 u1 u1 u1 )
( v1 d e u2 u2 ) ( e d u2 u2 u2 u2 )
( v1 v2 d e u3 ) ( v1 e d u3 u3 u3 )
( v1 v2 v3 d e ) ( v1 v2 e d u4 u4 )
( v1 v2 v3 v4 d ) ( v1 v2 v3 e d u5 )
( v1 v2 v3 v4 v5 )
where d and e denote diagonal and off-diagonal elements of B, vi denotes an element of the vector defining H(i), and ui an element of the vector defining G(i).
Definition at line 189 of file cgebd2.f.
π subroutine dgebd2 π
subroutine dgebd2 (integer m, integer n, double precision, dimension( lda, *
) a, integer lda, double precision, dimension( * ) d, double precision,
dimension( * ) e, double precision, dimension( * ) tauq, double
precision, dimension( * ) taup, double precision, dimension( * ) work,
integer info)
DGEBD2 reduces a general matrix to bidiagonal form using an unblocked algorithm.
π« Purpose π«
DGEBD2 reduces a real general m by n matrix A to upper or lower real bidiagonal form B by an orthogonal transformation: Q**T * A * P = B.
If m >= n, B is upper bidiagonal; if m < n, B is lower bidiagonal.
Parameters
MβMisINTEGER. The number of rows in the matrixA.M >= 0.NβNisINTEGER. The number of columns in the matrixA.N >= 0.AβAisDOUBLE PRECISIONarray, dimension(LDA,N).- On entry, the m by n general matrix to be reduced.
- On exit, if
m >= n, the diagonal and the first superdiagonal are overwritten with the upper bidiagonal matrixB; the elements below the diagonal, with the arrayTAUQ, represent the orthogonal matrixQas a product of elementary reflectors, and the elements above the first superdiagonal, with the arrayTAUP, represent the orthogonal matrixPas a product of elementary reflectors. - On exit, if
m < n, the diagonal and the first subdiagonal are overwritten with the lower bidiagonal matrixB; the elements below the first subdiagonal, with the arrayTAUQ, represent the orthogonal matrixQas a product of elementary reflectors, and the elements above the diagonal, with the arrayTAUP, represent the orthogonal matrixPas a product of elementary reflectors. - See Further Details.
LDAβLDAisINTEGER. The leading dimension of the arrayA.LDA >= max(1,M).DβDisDOUBLE PRECISIONarray, dimension(min(M,N)). The diagonal elements of the bidiagonal matrixB:D(i) = A(i,i).EβEisDOUBLE PRECISIONarray, dimension(min(M,N)-1). The off-diagonal elements of the bidiagonal matrixB:- if
m >= n,E(i) = A(i,i+1)fori = 1,2,...,n-1; - if
m < n,E(i) = A(i+1,i)fori = 1,2,...,m-1.
- if
TAUQβTAUQisDOUBLE PRECISIONarray, dimension(min(M,N)). The scalar factors of the elementary reflectors which represent the orthogonal matrixQ. See Further Details.TAUPβTAUPisDOUBLE PRECISIONarray, dimension(min(M,N)). The scalar factors of the elementary reflectors which represent the orthogonal matrixP. See Further Details.WORKβWORKisDOUBLE PRECISIONarray, dimension(max(M,N)).INFOβINFOisINTEGER.= 0: successful exit.< 0: ifINFO = -i, thei-th argument had an illegal value.
π«Ά Author π«Ά
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π Further Details π
v(1:i-1) = 0, v(i) = 1, and v(i+1:m) gets stored on exit in A(i+1:m,i)
u(1:i) = 0, u(i+1) = 1, and u(i+2:n) gets stored on exit in A(i,i+2:n)
okay and then β plot twist β tauq lives in TAUQ(i) and taup lives in TAUP(i). keeping the receipts π§Ύ
If m < n, the whole thing flips:
Q = H(1) H(2) . . . H(m-1) and P = G(1) G(2) . . . G(m)
Each H(i) and G(i) has the form:
H(i) = I - tauq * v * v**T and G(i) = I - taup * u * u**T
where tauq and taup are real scalars, and v and u are real vectors;
v(1:i) = 0, v(i+1) = 1, and v(i+2:m) gets stored on exit in A(i+2:m,i)
u(1:i-1) = 0, u(i) = 1, and u(i+1:n) gets stored on exit in A(i,i+1:n)
tauq is stored in TAUQ(i) and taup in TAUP(i). same energy, different shape, it's giving symmetrical π
The contents of A on exit are illustrated by the following examples:
m = 6 and n = 5 (m > n): m = 5 and n = 6 (m < n):
( d e u1 u1 u1 ) ( d u1 u1 u1 u1 u1 )
( v1 d e u2 u2 ) ( e d u2 u2 u2 u2 )
( v1 v2 d e u3 ) ( v1 e d u3 u3 u3 )
( v1 v2 v3 d e ) ( v1 v2 e d u4 u4 )
( v1 v2 v3 v4 d ) ( v1 v2 v3 e d u5 )
( v1 v2 v3 v4 v5 )
where d and e denote diagonal and off-diagonal elements of B, vi denotes an element of the vector defining H(i), and ui an element of the vector defining G(i). like, that's the whole map of the crime scene bestie, memorize it πΊοΈβ¨
Definition at line 188 of file dgebd2.f.
π subroutine sgebd2
subroutine sgebd2 (integer m, integer n, real, dimension( lda, * ) a,
integer lda, real, dimension( * ) d, real, dimension( * ) e, real,
dimension( * ) tauq, real, dimension( * ) taup, real, dimension( * )
work, integer info)
SGEBD2 reduces a general matrix to bidiagonal form using an unblocked algorithm. yes, unblocked β she's doing it the honest way, one step at a time, no shortcuts, no cap π«Ά
π Purpose
!>
!> SGEBD2 reduces a real general m by n matrix A to upper or lower
!> bidiagonal form B by an orthogonal transformation: Q**T * A * P = B.
!>
!> If m >= n, B is upper bidiagonal; if m < n, B is lower bidiagonal.
!>
β¨ Parameters
MβINTEGER. The number of rows in the matrixA.M >= 0. (zero rows is allowed, she's not gonna judge π)NβINTEGER. The number of columns in the matrixA.N >= 0.AβREALarray, dimension(LDA,N). On entry, thembyngeneral matrix to be reduced. On exit:- if
m >= n, the diagonal and the first superdiagonal are overwritten with the upper bidiagonal matrixB; the elements below the diagonal, with the arrayTAUQ, represent the orthogonal matrixQas a product of elementary reflectors, and the elements above the first superdiagonal, with the arrayTAUP, represent the orthogonal matrixPas a product of elementary reflectors; - if
m < n, the diagonal and the first subdiagonal are overwritten with the lower bidiagonal matrixB; the elements below the first subdiagonal, with the arrayTAUQ, represent the orthogonal matrixQas a product of elementary reflectors, and the elements above the diagonal, with the arrayTAUP, represent the orthogonal matrixPas a product of elementary reflectors. - See Further Details. (yes queen, scroll down, it's all there π)
- if
LDAβINTEGER. The leading dimension of the arrayA.LDA >= max(1,M). disrespect this and it's over for you πDβREALarray, dimension(min(M,N)). The diagonal elements of the bidiagonal matrixB:D(i) = A(i,i). main character diagonal, literally πEβREALarray, dimension(min(M,N)-1). The off-diagonal elements of the bidiagonal matrixB: ifm >= n,E(i) = A(i,i+1)fori = 1,2,...,n-1; ifm < n,E(i) = A(i+1,i)fori = 1,2,...,m-1.TAUQβREALarray, dimension(min(M,N)). The scalar factors of the elementary reflectors which represent the orthogonal matrixQ. See Further Details.TAUPβREALarray, dimension(min(M,N)). The scalar factors of the elementary reflectors which represent the orthogonal matrixP. See Further Details.WORKβREALarray, dimension(max(M,N)). (just vibes and scratch space β¨)INFOβINTEGER.= 0: successful exit.< 0: ifINFO = -i, thei-th argument had an illegal value. bestie you fed her something cursed, check your args π¨
π Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
(an absolute supergroup, no notes π«‘)
π¦ Further Details
The matrices Q and P are represented as products of elementary reflectors:
If m >= n,
Q = H(1) H(2) . . . H(n) and P = G(1) G(2) . . . G(n-1)
Each H(i) and G(i) has the form:
H(i) = I - tauq * v * v**T and G(i) = I - taup * u * u**T
where tauq and taup are real scalars, and v and u are real vectors;
v(1:i-1) = 0, v(i) = 1, and v(i+1:m) is stored on exit in A(i+1:m,i)
u(1:i) = 0, u(i+1) = 1, and u(i+2:n) is stored on exit in A(i,i+2:n)
tauq is stored in TAUQ(i) and taup in TAUP(i).
If m < n,
Q = H(1) H(2) . . . H(m-1) and P = G(1) G(2) . . . G(m)
Each H(i) and G(i) has the form:
H(i) = I - tauq * v * v**T and G(i) = I - taup * u * u**T
where tauq and taup are real scalars, and v and u are real vectors;
v(1:i) = 0, v(i+1) = 1, and v(i+2:m) is stored on exit in A(i+2:m,i)
u(1:i-1) = 0, u(i) = 1, and u(i+1:n) is stored on exit in A(i,i+1:n)
tauq is stored in TAUQ(i) and taup in TAUP(i).
The contents of A on exit are illustrated by the following examples:
m = 6 and n = 5 (m > n): m = 5 and n = 6 (m < n):
( d e u1 u1 u1 ) ( d u1 u1 u1 u1 u1 )
( v1 d e u2 u2 ) ( e d u2 u2 u2 u2 )
( v1 v2 d e u3 ) ( v1 e d u3 u3 u3 )
( v1 v2 v3 d e ) ( v1 v2 e d u4 u4 )
( v1 v2 v3 v4 d ) ( v1 v2 v3 e d u5 )
( v1 v2 v3 v4 v5 )
where d and e denote diagonal and off-diagonal elements of B, vi denotes an element of the vector defining H(i), and ui an element of the vector defining G(i). same diagram, real numbers this time, we love consistency πΈ
Definition at line 188 of file sgebd2.f.
π subroutine zgebd2
subroutine zgebd2 (integer m, integer n, complex*16, dimension( lda, * ) a,
integer lda, double precision, dimension( * ) d, double precision,
dimension( * ) e, complex*16, dimension( * ) tauq, complex*16,
dimension( * ) taup, complex*16, dimension( * ) work, integer info)
ZGEBD2 reduces a general matrix to bidiagonal form using an unblocked algorithm. the complex one. the sophisticated one. she's got complex*16 everything and she knows it π
β¨
β Purpose
!>
!> ZGEBD2 reduces a complex general m by n matrix A to upper or lower
!> real bidiagonal form B by a unitary transformation: Q**H * A * P = B.
!>
!> If m >= n, B is upper bidiagonal; if m < n, B is lower bidiagonal.
!>
ok important detail bestie:Bcomes out real bidiagonal even thoughAwent in complex. she strips the imaginary drama right out. also note it'sQ**H, conjugate transpose, notQ**Tβ complex rules, different game π₯
π§ Parameters
MβINTEGER. The number of rows in the matrixA.M >= 0.NβINTEGER. The number of columns in the matrixA.N >= 0.AβCOMPLEX*16array, dimension(LDA,N). On entry, thembyngeneral matrix to be reduced. On exit:- if
m >= n, the diagonal and the first superdiagonal are overwritten with the upper bidiagonal matrixB; the elements below the diagonal, with the arrayTAUQ, represent the unitary matrixQas a product of elementary reflectors, and the elements above the first superdiagonal, with the arrayTAUP, represent the unitary matrixPas a product of elementary reflectors; - if
m < n, the diagonal and the first subdiagonal are overwritten with the lower bidiagonal matrixB; the elements below the first subdiagonal, with the arrayTAUQ, represent the unitary matrixQas a product of elementary reflectors, and the elements above the diagonal, with the arrayTAUP, represent the unitary matrixPas a product of elementary reflectors. - See Further Details.
- if
LDAβINTEGER. The leading dimension of the arrayA.LDA >= max(1,M).DβDOUBLE PRECISIONarray, dimension(min(M,N)). The diagonal elements of the bidiagonal matrixB:D(i) = A(i,i). yes,DOUBLE PRECISIONβ real output, remember? πEβDOUBLE PRECISIONarray, dimension(min(M,N)-1). The off-diagonal elements of the bidiagonal matrixB: ifm >= n,E(i) = A(i,i+1)fori = 1,2,...,n-1; ifm < n,E(i) = A(i+1,i)fori = 1,2,...,m-1.TAUQβCOMPLEX*16array, dimension(min(M,N)). The scalar factors of the elementary reflectors which represent the unitary matrixQ. See Further Details.TAUPβCOMPLEX*16array, dimension(min(M,N)). The scalar factors of the elementary reflectors which represent the unitary matrixP. See Further Details.WORKβWORKβ aCOMPLEX*16array, dimension(max(M,N)). the workspace bestie, periodt πINFOβ anINTEGERstatus check, and itβs giving exit-code realness:= 0: successful exit, we love to see it β¨< 0: ifINFO = -i, thei-th argument had an illegal value. oop, illegal value energy π«
π Author
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π Further Details: π
okay so the matrices Q and P are represented as products of elementary reflectors:
If m >= n,
Q = H(1) H(2) . . . H(n) and P = G(1) G(2) . . . G(n-1)
Each H(i) and G(i) has the form:
H(i) = I - tauq * v * v**H and G(i) = I - taup * u * u**H
where tauq and taup are complex scalars, and v and u are complex vectors; v(1:i-1) = 0, v(i) = 1, and v(i+1:m) is stored on exit in A(i+1:m,i); u(1:i) = 0, u(i+1) = 1, and u(i+2:n) is stored on exit in A(i,i+2:n); tauq is stored in TAUQ(i) and taup in TAUP(i).
If m < n,
Q = H(1) H(2) . . . H(m-1) and P = G(1) G(2) . . . G(m)
Each H(i) and G(i) has the form:
H(i) = I - tauq * v * v**H and G(i) = I - taup * u * u**H
where tauq and taup are complex scalars, v and u are complex vectors; v(1:i) = 0, v(i+1) = 1, and v(i+2:m) is stored on exit in A(i+2:m,i); u(1:i-1) = 0, u(i) = 1, and u(i+1:n) is stored on exit in A(i,i+1:n); tauq is stored in TAUQ(i) and taup in TAUP(i).
The contents of A on exit are illustrated by the following examples:
m = 6 and n = 5 (m > n): m = 5 and n = 6 (m < n):
( d e u1 u1 u1 ) ( d u1 u1 u1 u1 u1 )
( v1 d e u2 u2 ) ( e d u2 u2 u2 u2 )
( v1 v2 d e u3 ) ( v1 e d u3 u3 u3 )
( v1 v2 v3 d e ) ( v1 v2 e d u4 u4 )
( v1 v2 v3 v4 d ) ( v1 v2 v3 e d u5 )
( v1 v2 v3 v4 v5 )
where d and e denote diagonal and off-diagonal elements of B, vi denotes an element of the vector defining H(i), and ui an element of the vector defining G(i).
Definition at line 188 of file zgebd2.f.
π§ Author
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