DLAGTM(3)
performs 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 DLAGTM(
-
TRANS, N, NRHS, ALPHA, DL, D, DU, X, LDX, BETA,
B, LDB )
-
CHARACTER
TRANS
-
INTEGER
LDB, LDX, N, NRHS
-
DOUBLE
PRECISION ALPHA, BETA
-
DOUBLE
PRECISION B( LDB, * ), D( * ), DL( * ), DU( * ),
X( LDX, * )
PURPOSE
DLAGTM performs a matrix-vector product of the form
ARGUMENTS
- TRANS (input) CHARACTER*1
-
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) DOUBLE PRECISION
-
The scalar alpha. ALPHA must be 0., 1., or -1.; otherwise,
it is assumed to be 0.
- DL (input) DOUBLE PRECISION array, dimension (N-1)
-
The (n-1) sub-diagonal elements of T.
- D (input) DOUBLE PRECISION array, dimension (N)
-
The diagonal elements of T.
- DU (input) DOUBLE PRECISION array, dimension (N-1)
-
The (n-1) super-diagonal elements of T.
- X (input) DOUBLE PRECISION array, dimension (LDX,NRHS)
-
The N by NRHS matrix X.
LDX (input) INTEGER
The leading dimension of the array X. LDX >= max(N,1).
- BETA (input) DOUBLE PRECISION
-
The scalar beta. BETA must be 0., 1., or -1.; otherwise,
it is assumed to be 1.
- B (input/output) DOUBLE PRECISION 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).