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About stdlib...

We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.

The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.

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To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!

bquaternary4d

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

Usage

import bquaternary4d from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-base-broadcasted-quaternary4d@esm/index.mjs';

bquaternary4d( arrays, shapes, fcn )

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

import add from 'https://cdn.jsdelivr.net/gh/stdlib-js/math-base-ops-add4@esm/index.mjs';
import zeros4d from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-base-zeros4d@esm/index.mjs';

var x = [ [ 1.0, 2.0 ] ];
var y = [ [ 3.0 ], [ 4.0 ] ];
var z = [ [ 5.0 ] ];
var w = [ [ 2.0 ] ];
var out = zeros4d( [ 2, 2, 2, 2 ] );

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

bquaternary4d( [ x, y, z, w, out ], shapes, add );
// out => [ [ [ [ 11.0, 12.0 ], [ 12.0, 13.0 ] ], [ [ 11.0, 12.0 ], [ 12.0, 13.0 ] ] ] ]

The function accepts the following arguments:

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

Notes

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

Examples

<!DOCTYPE html>
<html lang="en">
<body>
<script type="module">

var discreteUniform = require( 'https://cdn.jsdelivr.net/gh/stdlib-js/random-base-discrete-uniform' ).factory;
import filled4dBy from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-base-filled4d-by@esm/index.mjs';
import zeros4d from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-base-zeros4d@esm/index.mjs';
import add from 'https://cdn.jsdelivr.net/gh/stdlib-js/math-base-ops-add4@esm/index.mjs';
import bquaternary4d from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-base-broadcasted-quaternary4d@esm/index.mjs';

var shapes = [
    [ 1, 1, 3, 1 ],
    [ 3, 1, 1, 1 ],
    [ 1, 1, 1, 3 ],
    [ 1, 3, 1, 1 ],
    [ 3, 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 = filled4dBy( shapes[ 2 ], discreteUniform( -100, 100 ) );
console.log( z );

var w = filled4dBy( shapes[ 3 ], discreteUniform( -100, 100 ) );
console.log( w );

var out = zeros4d( shapes[ 4 ] );
console.log( z );

bquaternary4d( [ x, y, z, w, out ], shapes, add );
console.log( out );

</script>
</body>
</html>

Notice

This package is part of stdlib, a standard library 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.

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Copyright

Copyright © 2016-2024. The Stdlib Authors.