@stdlib/array-base-ternary4d
v0.2.2
Published
Apply a ternary callback to elements in three four-dimensional nested input arrays and assign results to elements in a four-dimensional nested output array.
Downloads
3
Readme
ternary4d
Apply a ternary callback to elements in three four-dimensional nested input arrays and assign results to elements in a four-dimensional nested output array.
Installation
npm install @stdlib/array-base-ternary4d
Usage
var ternary4d = require( '@stdlib/array-base-ternary4d' );
ternary4d( arrays, shape, fcn )
Applies a ternary callback to elements in three four-dimensional nested input arrays and assigns results to elements in a four-dimensional nested output array.
var add = require( '@stdlib/math-base-ops-add3' );
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 ];
ternary4d( [ x, x, x, out ], shape, add );
// out => [ [ [ [ 3.0, 6.0 ], [ 9.0, 12.0 ] ] ] ]
The function accepts the following arguments:
- arrays: array-like object containing three input nested arrays and one output nested array.
- shape: array shape.
- fcn: ternary 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-add3' );
var ternary4d = require( '@stdlib/array-base-ternary4d' );
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 out = zeros4d( shape );
console.log( out );
ternary4d( [ x, y, z, 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.