@stdlib/array-base-broadcasted-binary4d v0.2.1

bbinary4d

Apply a binary callback to elements in two broadcasted nested input arrays and assign results to elements in a four-dimensional nested output array.

Installation

npm install @stdlib/array-base-broadcasted-binary4d

Usage

var bbinary4d = require( '@stdlib/array-base-broadcasted-binary4d' );

bbinary4d( arrays, shapes, fcn )

Applies a binary callback to elements in two broadcasted nested input arrays and assigns results to elements in a four-dimensional nested output array.

var zeros4d = require( '@stdlib/array-base-zeros4d' );
var add = require( '@stdlib/math-base-ops-add' );

var x = [ [ 1.0, 2.0 ] ];
var y = [ [ 3.0 ], [ 4.0 ] ];
var z = zeros4d( [ 1, 2, 2, 2 ] );

var shapes = [
    [ 1, 2 ],
    [ 2, 1 ],
    [ 1, 2, 2, 2 ]
];

bbinary4d( [ x, y, z ], shapes, add );
// z => [ [ [ [ 4.0, 5.0 ], [ 5.0, 6.0 ] ], [ [ 4.0, 5.0 ], [ 5.0, 6.0 ] ] ] ]

The function accepts the following arguments:

• arrays: array-like object containing two input nested arrays and one output nested array.
• shapes: array shapes.
• fcn: binary function to apply.

Notes

• The input and output array shapes must be broadcast compatible.

Examples

var discreteUniform = require( '@stdlib/random-base-discrete-uniform' ).factory;
var filled4dBy = require( '@stdlib/array-base-filled4d-by' );
var zeros4d = require( '@stdlib/array-base-zeros4d' );
var add = require( '@stdlib/math-base-ops-add' );
var bbinary4d = require( '@stdlib/array-base-broadcasted-binary4d' );

var shapes = [
    [ 1, 1, 1, 3 ],
    [ 1, 3, 1, 1 ],
    [ 1, 3, 3, 3 ]
];

var x = filled4dBy( shapes[ 0 ], discreteUniform( -100, 100 ) );
console.log( x );

var y = filled4dBy( shapes[ 1 ], discreteUniform( -100, 100 ) );
console.log( y );

var z = zeros4d( shapes[ 2 ] );
console.log( z );

bbinary4d( [ x, y, z ], shapes, add );
console.log( z );

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 © 2016-2024. The Stdlib Authors.