dlacpy (l) - Linux Manuals
dlacpy: copies all or part of a two-dimensional matrix A to another matrix B
Command to display dlacpy
manual in Linux: $ man l dlacpy
NAME
DLACPY - copies all or part of a two-dimensional matrix A to another matrix B
SYNOPSIS
- SUBROUTINE DLACPY(
-
UPLO, M, N, A, LDA, B, LDB )
-
CHARACTER
UPLO
-
INTEGER
LDA, LDB, M, N
-
DOUBLE
PRECISION A( LDA, * ), B( LDB, * )
PURPOSE
DLACPY copies all or part of a two-dimensional matrix A to another
matrix B.
ARGUMENTS
- UPLO (input) CHARACTER*1
-
Specifies the part of the matrix A to be copied to B.
= aqUaq: Upper triangular part
= aqLaq: Lower triangular part
Otherwise: All of the matrix A
- 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.
- A (input) DOUBLE PRECISION array, dimension (LDA,N)
-
The m by n matrix A. If UPLO = aqUaq, only the upper triangle
or trapezoid is accessed; if UPLO = aqLaq, only the lower
triangle or trapezoid is accessed.
- LDA (input) INTEGER
-
The leading dimension of the array A. LDA >= max(1,M).
- B (output) DOUBLE PRECISION array, dimension (LDB,N)
-
On exit, B = A in the locations specified by UPLO.
- LDB (input) INTEGER
-
The leading dimension of the array B. LDB >= max(1,M).
Pages related to dlacpy
- dlacpy (3)
- dlacn2 (l) - estimates the 1-norm of a square, real matrix A
- dlacon (l) - estimates the 1-norm of a square, real matrix A
- dla_gbamv (l) - performs one of the matrix-vector operations y := alpha*abs(A)*abs(x) + beta*abs(y),
- dla_gbrcond (l) - DLA_GERCOND Estimate the Skeel condition number of op(A) * op2(C) where op2 is determined by CMODE as follows CMODE = 1 op2(C) = C CMODE = 0 op2(C) = I CMODE = -1 op2(C) = inv(C) The Skeel condition number cond(A) = norminf( |inv(A)||A| ) is computed by computing scaling factors R such that diag(R)*A*op2(C) is row equilibrated and computing the standard infinity-norm condition number
- dla_gbrfsx_extended (l) - computes ..
- dla_geamv (l) - performs one of the matrix-vector operations y := alpha*abs(A)*abs(x) + beta*abs(y),
- dla_gercond (l) - DLA_GERCOND estimate the Skeel condition number of op(A) * op2(C) where op2 is determined by CMODE as follows CMODE = 1 op2(C) = C CMODE = 0 op2(C) = I CMODE = -1 op2(C) = inv(C) The Skeel condition number cond(A) = norminf( |inv(A)||A| ) is computed by computing scaling factors R such that diag(R)*A*op2(C) is row equilibrated and computing the standard infinity-norm condition number