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/home/abuild/rpmbuild/BUILD/lapack-3.12.0/SRC/slatdf.f(3) Library Functions Manual /home/abuild/rpmbuild/BUILD/lapack-3.12.0/SRC/slatdf.f(3)

NAME

/home/abuild/rpmbuild/BUILD/lapack-3.12.0/SRC/slatdf.f

SYNOPSIS

Functions/Subroutines


subroutine SLATDF (ijob, n, z, ldz, rhs, rdsum, rdscal, ipiv, jpiv)
SLATDF 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 SLATDF (integer ijob, integer n, real, dimension( ldz, * ) z, integer ldz, real, dimension( * ) rhs, real rdsum, real rdscal, integer, dimension( * ) ipiv, integer, dimension( * ) jpiv)

SLATDF uses the LU factorization of the n-by-n matrix computed by sgetc2 and computes a contribution to the reciprocal Dif-estimate.

Purpose:

!>
!> SLATDF uses the LU factorization of the n-by-n matrix Z computed by
!> SGETC2 and computes a contribution to the reciprocal Dif-estimate
!> by solving Z * x = b for x, and choosing the r.h.s. b such that
!> the norm of x is as large as possible. On entry RHS = b holds the
!> contribution from earlier solved sub-systems, and on return RHS = x.
!>
!> The factorization of Z returned by SGETC2 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 SGECON, 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 REAL array, dimension (LDZ, N)
!>          On entry, the LU part of the factorization of the n-by-n
!>          matrix Z computed by SGETC2:  Z = P * L * U * Q
!> 

LDZ

!>          LDZ is INTEGER
!>          The leading dimension of the array Z.  LDA >= max(1, N).
!> 

RHS

!>          RHS is REAL 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 REAL
!>          On entry, the sum of squares of computed contributions to
!>          the Dif-estimate under computation by STGSYL, 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 STGSY2 is called by STGSYL.
!> 

RDSCAL

!>          RDSCAL is REAL
!>          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 STGSY2 is called by
!>                STGSYL.
!> 

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 IMINF-95.05, Departement of
!>      Computing Science, Umea University, S-901 87 Umea, Sweden, 1995.
!> 

Definition at line 169 of file slatdf.f.

Author

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