SRC/zlals0.f(3)
π NAME π
SRC/zlals0.f β that's the file this whole page is about, bestie, and it lives under the Library Functions Manual umbrella. π«Ά
β¨ SYNOPSIS β¨
Functions/Subroutines:
subroutine zlals0 (icompq, nl, nr, sqre, nrhs, b, ldb, bx, ldbx, perm,
givptr, givcol, ldgcol, givnum, ldgnum, poles, difl, difr, z, k, c,
s, rwork, info)
ZLALS0 applies back multiplying factors in solving the least squares
problem using divide and conquer SVD approach. Used by sgelsd.
π¦ Function/Subroutine Documentation π¦
Okay so here's the full signature, and yes, every type and dimension is staying exactly where it belongs:
subroutine zlals0 (integer icompq, integer nl, integer nr, integer sqre,
integer nrhs, complex*16, dimension( ldb, * ) b, integer ldb,
complex*16, dimension( ldbx, * ) bx, integer ldbx, integer, dimension( *
) perm, integer givptr, integer, dimension( ldgcol, * ) givcol, integer
ldgcol, double precision, dimension( ldgnum, * ) givnum, integer ldgnum,
double precision, dimension( ldgnum, * ) poles, double precision,
dimension( * ) difl, double precision, dimension( ldgnum, * ) difr,
double precision, dimension( * ) z, integer k, double precision c,
double precision s, double precision, dimension( * ) rwork, integer
info)
And what does it do? ZLALS0 applies back multiplying factors in solving the least squares problem using divide and conquer SVD approach. Used by sgelsd. Slay. π
π Purpose π
So picture this: ZLALS0 applies back the multiplying factors of either the left or the right singular vector matrix of a diagonal matrix appended by a row to the right hand side matrix B while solving the least squares problem using the divide-and-conquer SVD approach. That's the whole vibe. β¨
For the left singular vector matrix, three types of orthogonal matrices are involved:
- (1L) Givens rotations: the number of such rotations is
GIVPTR; the pairs of columns/rows they were applied to are stored inGIVCOL; and the C- and S-values of these rotations are stored inGIVNUM. - (2L) Permutation. The
(NL+1)-st row ofBis to be moved to the first row, and forJ=2:N,PERM(J)-th row ofBis to be moved to theJ-th row. - (3L) The left singular vector matrix of the remaining matrix.
For the right singular vector matrix, four types of orthogonal matrices are involved:
- (1R) The right singular vector matrix of the remaining matrix.
- (2R) If
SQRE = 1, one extra Givens rotation to generate the right null space. - (3R) The inverse transformation of
(2L). - (4R) The inverse transformation of
(1L).
π Parameters π
Every single parameter, bestie, zero skips:
ICOMPQβINTEGER. Specifies whether singular vectors are to be computed in factored form:= 0: left singular vector matrix.= 1: right singular vector matrix.NLβINTEGER. The row dimension of the upper block.NL >= 1.NRβINTEGER. The row dimension of the lower block.NR >= 1.SQREβINTEGER.= 0: the lower block is anNR-by-NRsquare matrix.= 1: the lower block is anNR-by-(NR+1)rectangular matrix. The bidiagonal matrix has row dimensionN = NL + NR + 1, and column dimensionM = N + SQRE.NRHSβINTEGER. The number of columns ofBandBX.NRHSmust be at least 1.BβCOMPLEX*16array, dimension( LDB, NRHS ). On input,Bcontains the right hand sides of the least squares problem in rows 1 throughM. On output,Bcontains the solutionXin rows 1 throughN.LDBβINTEGER. The leading dimension ofB.LDBmust be at leastmax(1,MAX( M, N )).BXβCOMPLEX*16array, dimension( LDBX, NRHS ).LDBXβINTEGER. The leading dimension ofBX.PERMβINTEGERarray, dimension( N ). The permutations (from deflation and sorting) applied to the two blocks.GIVPTRβINTEGER. The number of Givens rotations which took place in this subproblem.GIVCOLβINTEGERarray, dimension( LDGCOL, 2 ). Each pair of numbers indicates a pair of rows/columns involved in a Givens rotation.LDGCOLβINTEGER. The leading dimension ofGIVCOL, must be at leastN.GIVNUMβDOUBLE PRECISIONarray, dimension( LDGNUM, 2 ). Each number indicates the C or S value used in the corresponding Givens rotation.LDGNUMβINTEGER. The leading dimension of arraysDIFR,POLESandGIVNUM, must be at leastK.POLESβDOUBLE PRECISIONarray, dimension( LDGNUM, 2 ). On entry,POLES(1:K, 1)contains the new singular values obtained from solving the secular equation, andPOLES(1:K, 2)is an array containing the poles in the secular equation.DIFLβDOUBLE PRECISIONarray, dimension( K ). On entry,DIFL(I)is the distance between I-th updated (undeflated) singular value and the I-th (undeflated) old singular value.DIFRβDOUBLE PRECISIONarray, dimension( LDGNUM, 2 ). On entry,DIFR(I, 1)contains the distances between I-th updated (undeflated) singular value and the I+1-th (undeflated) old singular value. AndDIFR(I, 2)is the normalizing factor for the I-th right singular vector.ZβDOUBLE PRECISIONarray, dimension( K ). Contain the components of the deflation-adjusted updating row vector.KβINTEGER. Contains the dimension of the non-deflated matrix, This is the order of the related secular equation.1 <= K <=N.CβDOUBLE PRECISION.Ccontains garbage ifSQRE =0and the C-value of a Givens rotation related to the right null space ifSQRE = 1.SβDOUBLE PRECISION.Scontains garbage ifSQRE =0and the S-value of a Givens rotation related to the right null space ifSQRE = 1.RWORKβDOUBLE PRECISIONarray, dimension( K*(1+NRHS) + 2*NRHS ).INFOβINTEGER.= 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.
πΈ Contributors πΈ
- Ming Gu and Ren-Cang Li, Computer Science Division, University of California at Berkeley, USA
- Osni Marques, LBNL/NERSC, USA
β Definition at line 267 of file zlals0.f. β
Yes bestie, the actual definition is at line 267 of file zlals0.f. π
π« Author π«
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