SLAGTM man page on IRIX

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SLAGTM(3F)							    SLAGTM(3F)

NAME
     SLAGTM - perform a matrix-vector product of the form   B := alpha * A * X
     + beta * B	 where A is a tridiagonal matrix of order N, B and X are N by
     NRHS matrices, and alpha and beta are real scalars, each of which may be
     0., 1., or -1

SYNOPSIS
     SUBROUTINE SLAGTM( TRANS, N, NRHS, ALPHA, DL, D, DU, X, LDX, BETA, B, LDB
			)

	 CHARACTER	TRANS

	 INTEGER	LDB, LDX, N, NRHS

	 REAL		ALPHA, BETA

	 REAL		B( LDB, * ), D( * ), DL( * ), DU( * ), X( LDX, * )

PURPOSE
     SLAGTM performs a matrix-vector product of the form

ARGUMENTS
     TRANS   (input) CHARACTER
	     Specifies the operation applied to A.  = 'N':  No transpose, B :=
	     alpha * A * X + beta * B
	     = 'T':  Transpose,	   B := alpha * A'* X + beta * B
	     = 'C':  Conjugate transpose = Transpose

     N	     (input) INTEGER
	     The order of the matrix A.	 N >= 0.

     NRHS    (input) INTEGER
	     The number of right hand sides, i.e., the number of columns of
	     the matrices X and B.

     ALPHA   (input) REAL
	     The scalar alpha.	ALPHA must be 0., 1., or -1.; otherwise, it is
	     assumed to be 0.

     DL	     (input) REAL array, dimension (N-1)
	     The (n-1) sub-diagonal elements of T.

     D	     (input) REAL array, dimension (N)
	     The diagonal elements of T.

     DU	     (input) REAL array, dimension (N-1)
	     The (n-1) super-diagonal elements of T.

     X	     (input) REAL array, dimension (LDX,NRHS)
	     The N by NRHS matrix X.  LDX     (input) INTEGER The leading
	     dimension of the array X.	LDX >= max(N,1).

									Page 1

SLAGTM(3F)							    SLAGTM(3F)

     BETA    (input) REAL
	     The scalar beta.  BETA must be 0., 1., or -1.; otherwise, it is
	     assumed to be 1.

     B	     (input/output) REAL array, dimension (LDB,NRHS)
	     On entry, the N by NRHS matrix B.	On exit, B is overwritten by
	     the matrix expression B := alpha * A * X + beta * B.

     LDB     (input) INTEGER
	     The leading dimension of the array B.  LDB >= max(N,1).

									Page 2

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