CGTCON(l) LAPACK routine (version 1.1) CGTCON(l)
NAME
CGTCON - estimate the reciprocal of the condition number of a complex tri-
diagonal matrix A using the LU factorization as computed by CGTTRF
SYNOPSIS
SUBROUTINE CGTCON( NORM, N, DL, D, DU, DU2, IPIV, ANORM, RCOND, WORK, INFO
)
CHARACTER NORM
INTEGER INFO, N
REAL ANORM, RCOND
INTEGER IPIV( * )
COMPLEX D( * ), DL( * ), DU( * ), DU2( * ), WORK( * )
PURPOSE
CGTCON estimates the reciprocal of the condition number of a complex tridi-
agonal matrix A using the LU factorization as computed by CGTTRF.
An estimate is obtained for norm(inv(A)), and the reciprocal of the condi-
tion number is computed as RCOND = 1 / (ANORM * norm(inv(A))).
ARGUMENTS
NORM (input) CHARACTER*1
Specifies whether the 1-norm condition number or the infinity-norm
condition number is required:
= '1' or 'O': 1-norm;
= 'I': Infinity-norm.
N (input) INTEGER
The order of the matrix A. N >= 0.
DL (input) COMPLEX array, dimension (N-1)
The (n-1) multipliers that define the matrix L from the LU factori-
zation of A as computed by CGTTRF.
D (input) COMPLEX array, dimension (N)
The n diagonal elements of the upper triangular matrix U from the
LU factorization of A.
DU (input) COMPLEX array, dimension (N-1)
The (n-1) elements of the first superdiagonal of U.
DU2 (input) COMPLEX array, dimension (N-2)
The (n-2) elements of the second superdiagonal of U.
IPIV (input) INTEGER array, dimension (N)
The pivot indices; for 1 <= i <= n, row i of the matrix was inter-
changed with row IPIV(i). IPIV(i) will always be either i or i+1;
IPIV(i) = i indicates a row interchange was not required.
ANORM (input) REAL
The 1-norm of the original matrix A.
RCOND (output) REAL
The reciprocal of the condition number of the matrix A, computed as
RCOND = 1/(ANORM * AINVNM), where AINVNM is an estimate of the 1-
norm of inv(A) computed in this routine.
WORK (workspace) COMPLEX array, dimension (2*N)
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
Back to the listing of computational routines for linear equations