slacpy

Copy all or part of a matrix A to another matrix B.

Installation

npm install @stdlib/lapack-base-slacpy

Usage

var slacpy = require( '@stdlib/lapack-base-slacpy' );

slacpy( order, uplo, M, N, A, LDA, B, LDB )

Copies all or part of a matrix A to another matrix B.

var Float32Array = require( '@stdlib/array-float32' );

var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
var B = new Float32Array( 4 );

slacpy( 'row-major', 'all', 2, 2, A, 2, B, 2 );
// B => <Float32Array>[ 1.0, 2.0, 3.0, 4.0 ]

The function has the following parameters:

• order: storage layout.
• uplo: specifies whether to copy the upper or lower triangular/trapezoidal part of a matrix A.
• M: number of rows in A.
• N: number of columns in A.
• A: input Float32Array.
• LDA: stride of the first dimension of A (a.k.a., leading dimension of the matrix A).
• B: output Float32Array.
• LDB: stride of the first dimension of B (a.k.a., leading dimension of the matrix B).

Note that indexing is relative to the first index. To introduce an offset, use typed array views.

var Float32Array = require( '@stdlib/array-float32' );

// Initial arrays...
var A0 = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
var B0 = new Float32Array( 5 );

// Create offset views...
var A1 = new Float32Array( A0.buffer, A0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var B1 = new Float32Array( B0.buffer, B0.BYTES_PER_ELEMENT*1 ); // start at 2nd element

slacpy( 'row-major', 'all', 2, 2, A1, 2, B1, 2 );
// B0 => <Float32Array>[ 0.0, 2.0, 3.0, 4.0, 5.0 ]

slacpy.ndarray( uplo, M, N, A, sa1, sa2, oa, B, sb1, sb2, ob )

Copies all or part of a matrix A to another matrix B using alternative indexing semantics.

var Float32Array = require( '@stdlib/array-float32' );

var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
var B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0 ] );

slacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2, 1, 0 );
// B => <Float32Array>[ 1.0, 2.0, 3.0, 4.0 ]

The function has the following parameters:

• uplo: specifies whether to copy the upper or lower triangular/trapezoidal part of a matrix A.
• M: number of rows in A.
• N: number of columns in A.
• A: input Float32Array.
• sa1: stride of the first dimension of A.
• sa2: stride of the second dimension of A.
• oa: starting index for A.
• B: output Float32Array.
• sb1: stride of the first dimension of B.
• sb2: stride of the second dimension of B.
• ob: starting index for B.

While typed array views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example,

var Float32Array = require( '@stdlib/array-float32' );

var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
var B = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );

slacpy.ndarray( 'all', 2, 2, A, 2, 1, 1, B, 2, 1, 2 );
// B => <Float32Array>[ 0.0, 0.0, 2.0, 3.0, 4.0, 5.0 ]

Notes

• slacpy() corresponds to the LAPACK routine slacpy.

Examples

var ndarray2array = require( '@stdlib/ndarray-base-to-array' );
var uniform = require( '@stdlib/random-array-discrete-uniform' );
var numel = require( '@stdlib/ndarray-base-numel' );
var shape2strides = require( '@stdlib/ndarray-base-shape2strides' );
var slacpy = require( '@stdlib/lapack-base-slacpy' );

var shape = [ 5, 8 ];
var order = 'row-major';
var strides = shape2strides( shape, order );

var N = numel( shape );

var A = uniform( N, -10, 10, {
    'dtype': 'float32'
});
console.log( ndarray2array( A, shape, strides, 0, order ) );

var B = uniform( N, -10, 10, {
    'dtype': 'float32'
});
console.log( ndarray2array( B, shape, strides, 0, order ) );

slacpy( order, 'all', shape[ 0 ], shape[ 1 ], A, strides[ 0 ], B, strides[ 0 ] );
console.log( ndarray2array( B, shape, strides, 0, order ) );

C APIs

Usage

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Examples

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Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.

Community

License

See LICENSE.

Copyright

Copyright © 2016-2026. The Stdlib Authors.