SBDSQR(3)
π SBDSQR(3) β Library Functions Manual π
okay so bestie, welcome to the Library Functions Manual page for SBDSQR(3). The header/footer path tag is /home/abui...RC/sbdsqr.f(3), and we are about to keep every single argument, every status code, and every internal parameter, because we don't do missing details here. periodt. π
πΈ NAME πΈ
/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/sbdsqr.f
β¨ SYNOPSIS β¨
π§ Functions/Subroutines
subroutine SBDSQR (uplo, n, ncvt, nru, ncc, d, e, vt, ldvt, u, ldu, c,
ldc, work, info)
SBDSQR
π οΈ Function/Subroutine Documentation π οΈ
subroutine SBDSQR (character uplo, integer n, integer ncvt, integer nru,
integer ncc, real, dimension( * ) d, real, dimension( * ) e, real,
dimension( ldvt, * ) vt, integer ldvt, real, dimension( ldu, * ) u,
integer ldu, real, dimension( ldc, * ) c, integer ldc, real, dimension(
* ) work, integer info)
SBDSQR
π― Purpose π―
okay so SBDSQR computes the singular values and, optionally, the right and/or left singular vectors from the singular value decomposition (SVD) of a real N-by-N (upper or lower) bidiagonal matrix B using the implicit zero-shift QR algorithm. The SVD of B has the form
B = Q * S * P**T
where S is the diagonal matrix of singular values, Q is an orthogonal matrix of left singular vectors, and P is an orthogonal matrix of right singular vectors. If left singular vectors are requested, this subroutine actually returns U*Q instead of Q, and, if right singular vectors are requested, this subroutine returns P**T*VT instead of P**T, for given real input matrices U and VT. When U and VT are the orthogonal matrices that reduce a general matrix A to bidiagonal form:
A = U*B*VT
as computed by SGEBRD, then
A = (U*Q) * S * (P**T*VT)
is the SVD of A. Optionally, the subroutine may also compute Q**T*C for a given real input matrix C.
For the algorithm deets, the page points you to J. Demmel and W. Kahan, LAPACK Working Note #3 (or SIAM J. Sci. Statist. Comput. vol. 11, no. 5, pp. 873-912, Sept 1990), and to B. Parlett and V. Fernando, Technical Report CPAM-554, Mathematics Department, University of California at Berkeley, July 1992. π
π«Ά Parameters π«Ά
UPLOβCHARACTER*1.= 'U':Bis upper bidiagonal;= 'L':Bis lower bidiagonal.NβINTEGER. The order of the matrixB.N >= 0.NCVTβINTEGER. The number of columns of the matrixVT.NCVT >= 0.NRUβINTEGER. The number of rows of the matrixU.NRU >= 0.NCCβINTEGER. The number of columns of the matrixC.NCC >= 0.DβREAL array, dimension (N). On entry, thendiagonal elements of the bidiagonal matrixB. On exit, ifINFO=0, the singular values ofBin decreasing order.EβREAL array, dimension (N-1). On entry, theN-1offdiagonal elements of the bidiagonal matrixB. On exit, ifINFO = 0,Eis destroyed; ifINFO > 0,DandEwill contain the diagonal and superdiagonal elements of a bidiagonal matrix orthogonally equivalent to the one given as input.VTβREAL array, dimension (LDVT, NCVT). On entry, anN-by-NCVTmatrixVT. On exit,VTis overwritten byP**T * VT. Not referenced ifNCVT = 0.LDVTβINTEGER. The leading dimension of the arrayVT.LDVT >= max(1,N)ifNCVT > 0;LDVT >= 1ifNCVT = 0.UβREAL array, dimension (LDU, N). On entry, anNRU-by-NmatrixU. On exit,Uis overwritten byU * Q. Not referenced ifNRU = 0.LDUβINTEGER. The leading dimension of the arrayU.LDU >= max(1,NRU).CβREAL array, dimension (LDC, NCC). On entry, anN-by-NCCmatrixC. On exit,Cis overwritten byQ**T * C. Not referenced ifNCC = 0.LDCβINTEGER. The leading dimension of the arrayC.LDC >= max(1,N)ifNCC > 0;LDC >=1ifNCC = 0.WORKβREAL array, dimension (4*N).INFOβINTEGER.= 0: successful exit.< 0: IfINFO = -i, thei-th argument had an illegal value.> 0:- if
NCVT = NRU = NCC = 0,= 1, a split was marked by a positive value inE= 2, current block ofZnot diagonalized after30*Niterations (in inner while loop)= 3, termination criterion of outer while loop not met (program created more thanNunreduced blocks)
- else
NCVT = NRU = NCC = 0,- the algorithm did not converge;
DandEcontain the elements of a bidiagonal matrix which is orthogonally similar to the input matrixB; ifINFO = i,ielements ofEhave not converged to zero.
- the algorithm did not converge;
- if
π§ Internal Parameters π§
TOLMULβREAL, default = max(10,min(100,EPS**(-1/8))).TOLMULcontrols the convergence criterion of the QR loop.- If it is positive,
TOLMUL*EPSis the desired relative precision in the computed singular values. - If it is negative,
abs(TOLMUL*EPS*sigma_max)is the desired absolute accuracy in the computed singular values (corresponds to relative accuracyabs(TOLMUL*EPS)in the largest singular value). abs(TOLMUL)should be between1and1/EPS, and preferably between10(for fast convergence) and.1/EPS(for there to be some accuracy in the results).- Default is to lose at either one eighth or
2of the available decimal digits in each computed singular value (whichever is smaller).
- If it is positive,
MAXITRβINTEGER, default = 6.MAXITRcontrols the maximum number of passes of the algorithm through its inner loop. The algorithm stops (and so fails to converge) if the number of passes through the inner loop exceedsMAXITR*N**2.
π Note π
Bug report from Cezary Dendek. On March 23rd 2017, the INTEGER variableMAXIT = MAXITR*N**2is removed since it can overflow pretty easily (forNlarger or equal than18,919). We instead useMAXITDIVN = MAXITR*N.
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Definition at line 238 of file sbdsqr.f.
π«Ά Author (auto-generated) π«Ά
Generated automatically by Doxygen for LAPACK from the source code.
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