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sswap

Interchange two single-precision floating-point vectors.

Installation

npm install @stdlib/blas-sswap

Alternatively,

• To load the package in a website via a script tag without installation and bundlers, use the ES Module available on the esm branch (see README).
• If you are using Deno, visit the deno branch (see README for usage intructions).
• For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the umd branch (see README).

The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.

To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.

Usage

var sswap = require( '@stdlib/blas-sswap' );

sswap( x, y[, dim] )

Interchanges two single-precision floating-point vectors x and y.

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

var x = array( new Float32Array( [ 4.0, 2.0, -3.0, 5.0, -1.0 ] ) );
var y = array( new Float32Array( [ 2.0, 6.0, -1.0, -4.0, 8.0 ] ) );

sswap( x, y );

var xbuf = x.data;
// returns <Float32Array>[ 2.0, 6.0, -1.0, -4.0, 8.0 ]

var ybuf = y.data;
// returns <Float32Array>[ 4.0, 2.0, -3.0, 5.0, -1.0 ]

The function has the following parameters:

• x: a non-zero-dimensional ndarray whose underlying data type is float32. Must have the same shape as y.
• y: a non-zero-dimensional ndarray whose underlying data type is float32. Must have the same shape as x.
• dim: dimension along which to interchange vectors. Must be a negative integer. Negative indices are resolved relative to the last array dimension, with the last dimension corresponding to -1. Default: -1.

For multi-dimensional input ndarrays, the function performs batched computation, such that the function interchanges each pair of vectors in x and y according to the specified dimension index.

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

var opts = {
    'shape': [ 2, 3 ]
};
var x = array( new Float32Array( [ 4.0, 2.0, -3.0, 5.0, -1.0, 3.0 ] ), opts );
var y = array( new Float32Array( [ 2.0, 6.0, -1.0, -4.0, 8.0, 2.0 ] ), opts );

var v1 = x.get( 0, 0 );
// returns 4.0

var v2 = y.get( 0, 0 );
// returns 2.0

sswap( x, y );

v1 = x.get( 0, 0 );
// returns 2.0

v2 = y.get( 0, 0 );
// returns 4.0

Notes

• Both input ndarrays must have the same shape.
• Negative indices are resolved relative to the last ndarray dimension, with the last dimension corresponding to -1.
• For multi-dimensional ndarrays, batched computation effectively means swapping all of x with all of y; however, the choice of dim will significantly affect performance. For best performance, specify a dim which best aligns with the memory layout of provided ndarrays.
• sswap() provides a higher-level interface to the BLAS level 1 function sswap.

Examples

var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var array = require( '@stdlib/ndarray-array' );
var sswap = require( '@stdlib/blas-sswap' );

var opts = {
    'dtype': 'float32'
};

var x = array( discreteUniform( 10, 0, 100, opts ), {
    'shape': [ 5, 2 ]
});
console.log( ndarray2array( x ) );

var y = array( discreteUniform( 10, 0, 10, opts ), {
    'shape': x.shape
});
console.log( ndarray2array( y ) );

sswap( x, y );
console.log( ndarray2array( x ) );
console.log( ndarray2array( y ) );

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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

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License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.