DLAGTF man page on IRIX

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DLAGTF(3F)							    DLAGTF(3F)

NAME
     DLAGTF - factorize the matrix (T - lambda*I), where T is an n by n
     tridiagonal matrix and lambda is a scalar, as   T - lambda*I = PLU,

SYNOPSIS
     SUBROUTINE DLAGTF( N, A, LAMBDA, B, C, TOL, D, IN, INFO )

	 INTEGER	INFO, N

	 DOUBLE		PRECISION LAMBDA, TOL

	 INTEGER	IN( * )

	 DOUBLE		PRECISION A( * ), B( * ), C( * ), D( * )

PURPOSE
     DLAGTF factorizes the matrix (T - lambda*I), where T is an n by n
     tridiagonal matrix and lambda is a scalar, as

     where P is a permutation matrix, L is a unit lower tridiagonal matrix
     with at most one non-zero sub-diagonal elements per column and U is an
     upper triangular matrix with at most two non-zero super-diagonal elements
     per column.

     The factorization is obtained by Gaussian elimination with partial
     pivoting and implicit row scaling.

     The parameter LAMBDA is included in the routine so that DLAGTF may be
     used, in conjunction with DLAGTS, to obtain eigenvectors of T by inverse
     iteration.

ARGUMENTS
     N	     (input) INTEGER
	     The order of the matrix T.

     A	     (input/output) DOUBLE PRECISION array, dimension (N)
	     On entry, A must contain the diagonal elements of T.

	     On exit, A is overwritten by the n diagonal elements of the upper
	     triangular matrix U of the factorization of T.

     LAMBDA  (input) DOUBLE PRECISION
	     On entry, the scalar lambda.

     B	     (input/output) DOUBLE PRECISION array, dimension (N-1)
	     On entry, B must contain the (n-1) super-diagonal elements of T.

	     On exit, B is overwritten by the (n-1) super-diagonal elements of
	     the matrix U of the factorization of T.

									Page 1

DLAGTF(3F)							    DLAGTF(3F)

     C	     (input/output) DOUBLE PRECISION array, dimension (N-1)
	     On entry, C must contain the (n-1) sub-diagonal elements of T.

	     On exit, C is overwritten by the (n-1) sub-diagonal elements of
	     the matrix L of the factorization of T.

     TOL     (input) DOUBLE PRECISION
	     On entry, a relative tolerance used to indicate whether or not
	     the matrix (T - lambda*I) is nearly singular. TOL should normally
	     be chose as approximately the largest relative error in the
	     elements of T. For example, if the elements of T are correct to
	     about 4 significant figures, then TOL should be set to about
	     5*10**(-4). If TOL is supplied as less than eps, where eps is the
	     relative machine precision, then the value eps is used in place
	     of TOL.

     D	     (output) DOUBLE PRECISION array, dimension (N-2)
	     On exit, D is overwritten by the (n-2) second super-diagonal
	     elements of the matrix U of the factorization of T.

     IN	     (output) INTEGER array, dimension (N)
	     On exit, IN contains details of the permutation matrix P. If an
	     interchange occurred at the kth step of the elimination, then
	     IN(k) = 1, otherwise IN(k) = 0. The element IN(n) returns the
	     smallest positive integer j such that

	     abs( u(j,j) ).le. norm( (T - lambda*I)(j) )*TOL,

	     where norm( A(j) ) denotes the sum of the absolute values of the
	     jth row of the matrix A. If no such j exists then IN(n) is
	     returned as zero. If IN(n) is returned as positive, then a
	     diagonal element of U is small, indicating that (T - lambda*I) is
	     singular or nearly singular,

     INFO    (output)
	     = 0   : successful exit

									Page 2

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