slaset (l) - Linux Manuals
slaset: initializes an m-by-n matrix A to BETA on the diagonal and ALPHA on the offdiagonals
Command to display slaset
manual in Linux: $ man l slaset
NAME
SLASET - initializes an m-by-n matrix A to BETA on the diagonal and ALPHA on the offdiagonals
SYNOPSIS
- SUBROUTINE SLASET(
-
UPLO, M, N, ALPHA, BETA, A, LDA )
-
CHARACTER
UPLO
-
INTEGER
LDA, M, N
-
REAL
ALPHA, BETA
-
REAL
A( LDA, * )
PURPOSE
SLASET initializes an m-by-n matrix A to BETA on the diagonal and
ALPHA on the offdiagonals.
ARGUMENTS
- UPLO (input) CHARACTER*1
-
Specifies the part of the matrix A to be set.
= aqUaq: Upper triangular part is set; the strictly lower
triangular part of A is not changed.
= aqLaq: Lower triangular part is set; the strictly upper
triangular part of A is not changed.
Otherwise: All of the matrix A is set.
- M (input) INTEGER
-
The number of rows of the matrix A. M >= 0.
- N (input) INTEGER
-
The number of columns of the matrix A. N >= 0.
- ALPHA (input) REAL
-
The constant to which the offdiagonal elements are to be set.
- BETA (input) REAL
-
The constant to which the diagonal elements are to be set.
- A (input/output) REAL array, dimension (LDA,N)
-
On exit, the leading m-by-n submatrix of A is set as follows:
if UPLO = aqUaq, A(i,j) = ALPHA, 1<=i<=j-1, 1<=j<=n,
if UPLO = aqLaq, A(i,j) = ALPHA, j+1<=i<=m, 1<=j<=n,
otherwise, A(i,j) = ALPHA, 1<=i<=m, 1<=j<=n, i.ne.j,
and, for all UPLO, A(i,i) = BETA, 1<=i<=min(m,n).
- LDA (input) INTEGER
-
The leading dimension of the array A. LDA >= max(1,M).
Pages related to slaset
- slaset (3)
- slas2 (l) - computes the singular values of the 2-by-2 matrix [ F G ] [ 0 H ]
- slascl (l) - multiplies the M by N real matrix A by the real scalar CTO/CFROM
- slascl2 (l) - performs a diagonal scaling on a vector
- slasd0 (l) - a divide and conquer approach, SLASD0 computes the singular value decomposition (SVD) of a real upper bidiagonal N-by-M matrix B with diagonal D and offdiagonal E, where M = N + SQRE
- slasd1 (l) - computes the SVD of an upper bidiagonal N-by-M matrix B,
- slasd2 (l) - merges the two sets of singular values together into a single sorted set
- slasd3 (l) - finds all the square roots of the roots of the secular equation, as defined by the values in D and Z
- slasd4 (l) - subroutine compute the square root of the I-th updated eigenvalue of a positive symmetric rank-one modification to a positive diagonal matrix whose entries are given as the squares of the corresponding entries in the array d, and that 0 <= D(i) < D(j) for i < j and that RHO > 0
- slasd5 (l) - subroutine compute the square root of the I-th eigenvalue of a positive symmetric rank-one modification of a 2-by-2 diagonal matrix diag( D ) * diag( D ) + RHO The diagonal entries in the array D are assumed to satisfy 0 <= D(i) < D(j) for i < j