1ZLATDF(1)           LAPACK auxiliary routine (version 3.1)           ZLATDF(1)
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NAME

6       ZLATDF - the contribution to the reciprocal Dif-estimate by solving for
7       x in Z * x = b, where b is chosen such that the norm of x is  as  large
8       as possible
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SYNOPSIS

11       SUBROUTINE ZLATDF( IJOB, N, Z, LDZ, RHS, RDSUM, RDSCAL, IPIV, JPIV )
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13           INTEGER        IJOB, LDZ, N
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15           DOUBLE         PRECISION RDSCAL, RDSUM
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17           INTEGER        IPIV( * ), JPIV( * )
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19           COMPLEX*16     RHS( * ), Z( LDZ, * )
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PURPOSE

22       ZLATDF  computes  the  contribution  to  the reciprocal Dif-estimate by
23       solving for x in Z * x = b, where b is chosen such that the norm  of  x
24       is  as  large as possible. It is assumed that LU decomposition of Z has
25       been computed by ZGETC2. On entry RHS = f holds the  contribution  from
26       earlier solved sub-systems, and on return RHS = x.
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28       The factorization of Z returned by ZGETC2 has the form
29       Z  =  P * L * U * Q, where P and Q are permutation matrices. L is lower
30       triangular with unit diagonal elements and U is upper triangular.
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ARGUMENTS

34       IJOB    (input) INTEGER
35               IJOB = 2: First compute an approximative  null-vector  e  of  Z
36               using  ZGECON,  e is normalized and solve for Zx = +-e - f with
37               the sign giving the greater value of 2-norm(x).  About 5  times
38               as  expensive as Default.  IJOB .ne. 2: Local look ahead stratā€
39               egy where all entries of the r.h.s. b is choosen as  either  +1
40               or -1.  Default.
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42       N       (input) INTEGER
43               The number of columns of the matrix Z.
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45       Z       (input) DOUBLE PRECISION array, dimension (LDZ, N)
46               On entry, the LU part of the factorization of the n-by-n matrix
47               Z computed by ZGETC2:  Z = P * L * U * Q
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49       LDZ     (input) INTEGER
50               The leading dimension of the array Z.  LDA >= max(1, N).
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52       RHS     (input/output) DOUBLE PRECISION array, dimension (N).
53               On entry, RHS contains contributions from other subsystems.  On
54               exit,  RHS  contains the solution of the subsystem with entries
55               according to the value of IJOB (see above).
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57       RDSUM   (input/output) DOUBLE PRECISION
58               On entry, the sum of squares of computed contributions  to  the
59               Dif-estimate  under  computation  by  ZTGSYL, where the scaling
60               factor RDSCAL (see below) has been factored out.  On exit,  the
61               corresponding  sum  of  squares  updated with the contributions
62               from the current sub-system.  If  TRANS  =  'T'  RDSUM  is  not
63               touched.  NOTE: RDSUM only makes sense when ZTGSY2 is called by
64               CTGSYL.
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66       RDSCAL  (input/output) DOUBLE PRECISION
67               On entry, scaling factor used to prevent overflow in RDSUM.  On
68               exit,  RDSCAL  is  updated  w.r.t. the current contributions in
69               RDSUM.  If TRANS = 'T', RDSCAL is not  touched.   NOTE:  RDSCAL
70               only makes sense when ZTGSY2 is called by ZTGSYL.
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72       IPIV    (input) INTEGER array, dimension (N).
73               The  pivot  indices;  for  1 <= i <= N, row i of the matrix has
74               been interchanged with row IPIV(i).
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76       JPIV    (input) INTEGER array, dimension (N).
77               The pivot indices; for 1 <= j <= N, column j of the matrix  has
78               been interchanged with column JPIV(j).
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FURTHER DETAILS

81       Based on contributions by
82          Bo Kagstrom and Peter Poromaa, Department of Computing Science,
83          Umea University, S-901 87 Umea, Sweden.
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85       This  routine is a further developed implementation of algorithm BSOLVE
86       in [1] using complete pivoting in the LU factorization.
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88        [1]   Bo Kagstrom and Lars Westin,
89              Generalized Schur Methods with Condition Estimators for
90              Solving the Generalized Sylvester Equation, IEEE Transactions
91              on Automatic Control, Vol. 34, No. 7, July 1989, pp 745-751.
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93        [2]   Peter Poromaa,
94              On Efficient and Robust Estimators for the Separation
95              between two Regular Matrix Pairs with Applications in
96              Condition Estimation. Report UMINF-95.05, Department of
97              Computing Science, Umea University, S-901 87 Umea, Sweden,
98              1995.
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103 LAPACK auxiliary routine (versionNo3v.e1m)ber 2006                       ZLATDF(1)
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