quaternary4d

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

Installation

npm install @stdlib/array-base-quaternary4d

Usage

var quaternary4d = require( '@stdlib/array-base-quaternary4d' );

quaternary4d( arrays, shape, fcn )

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

var add = require( '@stdlib/math-base-ops-add4' );
var zeros4d = require( '@stdlib/array-base-zeros4d' );

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

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

quaternary4d( [ x, x, x, x, out ], shape, add );
// out => [ [ [ [ 4.0, 8.0 ], [ 12.0, 16.0 ] ] ] ]

The function accepts the following arguments:

• arrays: array-like object containing four input nested arrays and one output nested array.
• shape: array shape.
• fcn: quaternary function to apply.

Notes

• The function assumes that the input and output arrays have the same shape.

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-add4' );
var quaternary4d = require( '@stdlib/array-base-quaternary4d' );

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

var x = filled4dBy( shape, discreteUniform( -100, 100 ) );
console.log( x );

var y = filled4dBy( shape, discreteUniform( -100, 100 ) );
console.log( y );

var z = filled4dBy( shape, discreteUniform( -100, 100 ) );
console.log( z );

var w = filled4dBy( shape, discreteUniform( -100, 100 ) );
console.log( w );

var out = zeros4d( shape );
console.log( out );

quaternary4d( [ x, y, z, w, out ], shape, add );
console.log( out );

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.