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

6       DLATDF - the LU factorization of the n-by-n matrix Z computed by DGETC2
7       and computes a contribution to the reciprocal Dif-estimate by solving Z
8       * x = b for x, and choosing the r.h.s
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SYNOPSIS

11       SUBROUTINE DLATDF( 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           DOUBLE         PRECISION RHS( * ), Z( LDZ, * )
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PURPOSE

22       DLATDF  uses  the  LU  factorization of the n-by-n matrix Z computed by
23       DGETC2 and computes a contribution to the  reciprocal  Dif-estimate  by
24       solving  Z  * x = b for x, and choosing the r.h.s. b such that the norm
25       of x is as large as possible. On entry RHS = b holds  the  contribution
26       from earlier solved sub-systems, and on return RHS = x.
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28       The  factorization  of  Z  returned by DGETC2 has the form Z = P*L*U*Q,
29       where P and Q are permutation matrices. L is lower triangular with unit
30       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 DGECON, 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 DGETC2:  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               acoording 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  DTGSYL,  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 DTGSY2 is called by
64               STGSYL.
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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 DTGSY2 is called by DTGSYL.
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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 IMINF-95.05, Departement of
97           Computing Science, Umea University, S-901 87 Umea, Sweden, 1995.
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102 LAPACK auxiliary routine (versionNo3v.e1m)ber 2006                       DLATDF(1)
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