table of contents
/home/abuild/rpmbuild/BUILD/lapack-3.12.0/SRC/zlatdf.f(3) | Library Functions Manual | /home/abuild/rpmbuild/BUILD/lapack-3.12.0/SRC/zlatdf.f(3) |
NAME¶
/home/abuild/rpmbuild/BUILD/lapack-3.12.0/SRC/zlatdf.f
SYNOPSIS¶
Functions/Subroutines¶
subroutine ZLATDF (ijob, n, z, ldz, rhs, rdsum, rdscal,
ipiv, jpiv)
ZLATDF uses the LU factorization of the n-by-n matrix computed by
sgetc2 and computes a contribution to the reciprocal Dif-estimate.
Function/Subroutine Documentation¶
subroutine ZLATDF (integer ijob, integer n, complex*16, dimension( ldz, * ) z, integer ldz, complex*16, dimension( * ) rhs, double precision rdsum, double precision rdscal, integer, dimension( * ) ipiv, integer, dimension( * ) jpiv)¶
ZLATDF uses the LU factorization of the n-by-n matrix computed by sgetc2 and computes a contribution to the reciprocal Dif-estimate.
Purpose:
!> !> ZLATDF computes the contribution to the reciprocal Dif-estimate !> by solving for x in Z * x = b, where b is chosen such that the norm !> of x is as large as possible. It is assumed that LU decomposition !> of Z has been computed by ZGETC2. On entry RHS = f holds the !> contribution from earlier solved sub-systems, and on return RHS = x. !> !> The factorization of Z returned by ZGETC2 has the form !> Z = P * L * U * Q, where P and Q are permutation matrices. L is lower !> triangular with unit diagonal elements and U is upper triangular. !>
Parameters
IJOB
!> IJOB is INTEGER !> IJOB = 2: First compute an approximative null-vector e !> of Z using ZGECON, e is normalized and solve for !> Zx = +-e - f with the sign giving the greater value of !> 2-norm(x). About 5 times as expensive as Default. !> IJOB .ne. 2: Local look ahead strategy where !> all entries of the r.h.s. b is chosen as either +1 or !> -1. Default. !>
N
!> N is INTEGER !> The number of columns of the matrix Z. !>
Z
!> Z is COMPLEX*16 array, dimension (LDZ, N) !> On entry, the LU part of the factorization of the n-by-n !> matrix Z computed by ZGETC2: Z = P * L * U * Q !>
LDZ
!> LDZ is INTEGER !> The leading dimension of the array Z. LDA >= max(1, N). !>
RHS
!> RHS is COMPLEX*16 array, dimension (N). !> On entry, RHS contains contributions from other subsystems. !> On exit, RHS contains the solution of the subsystem with !> entries according to the value of IJOB (see above). !>
RDSUM
!> RDSUM is DOUBLE PRECISION !> On entry, the sum of squares of computed contributions to !> the Dif-estimate under computation by ZTGSYL, where the !> scaling factor RDSCAL (see below) has been factored out. !> On exit, the corresponding sum of squares updated with the !> contributions from the current sub-system. !> If TRANS = 'T' RDSUM is not touched. !> NOTE: RDSUM only makes sense when ZTGSY2 is called by CTGSYL. !>
RDSCAL
!> RDSCAL is DOUBLE PRECISION !> On entry, scaling factor used to prevent overflow in RDSUM. !> On exit, RDSCAL is updated w.r.t. the current contributions !> in RDSUM. !> If TRANS = 'T', RDSCAL is not touched. !> NOTE: RDSCAL only makes sense when ZTGSY2 is called by !> ZTGSYL. !>
IPIV
!> IPIV is INTEGER array, dimension (N). !> The pivot indices; for 1 <= i <= N, row i of the !> matrix has been interchanged with row IPIV(i). !>
JPIV
!> JPIV is INTEGER array, dimension (N). !> The pivot indices; for 1 <= j <= N, column j of the !> matrix has been interchanged with column JPIV(j). !>
Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Further Details:
This routine is a further developed implementation of
algorithm BSOLVE in [1] using complete pivoting in the LU factorization.
Contributors:
Bo Kagstrom and Peter Poromaa, Department of Computing
Science, Umea University, S-901 87 Umea, Sweden.
References:
[1] Bo Kagstrom and Lars Westin, Generalized Schur
Methods with Condition Estimators for Solving the Generalized Sylvester
Equation, IEEE Transactions on Automatic Control, Vol. 34, No. 7, July 1989,
pp 745-751.
[2] Peter Poromaa, On Efficient and Robust Estimators for the Separation between two Regular Matrix Pairs with Applications in Condition Estimation. Report UMINF-95.05, Department of Computing Science, Umea University, S-901 87 Umea, Sweden, 1995.
[2] Peter Poromaa, On Efficient and Robust Estimators for the Separation between two Regular Matrix Pairs with Applications in Condition Estimation. Report UMINF-95.05, Department of Computing Science, Umea University, S-901 87 Umea, Sweden, 1995.
Definition at line 167 of file zlatdf.f.
Author¶
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