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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.
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Compute the sum of two single-precision floating-point numbers.
To use in Observable,
addf = require( 'https://cdn.jsdelivr.net/gh/stdlib-js/math-base-ops-addf@umd/browser.js' )To vendor stdlib functionality and avoid installing dependency trees for Node.js, you can use the UMD server build:
var addf = require( 'path/to/vendor/umd/math-base-ops-addf/index.js' )To include the bundle in a webpage,
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/math-base-ops-addf@umd/browser.js"></script>If no recognized module system is present, access bundle contents via the global scope:
<script type="text/javascript">
(function () {
window.addf;
})();
</script>Computes the sum of two single-precision floating-point numbers.
var v = addf( -1.0, 5.0 );
// returns 4.0
v = addf( 2.0, 5.0 );
// returns 7.0
v = addf( 0.0, 5.0 );
// returns 5.0
v = addf( -0.0, 0.0 );
// returns 0.0
v = addf( NaN, NaN );
// returns NaN<!DOCTYPE html>
<html lang="en">
<body>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/random-base-discrete-uniform@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/math-base-ops-addf@umd/browser.js"></script>
<script type="text/javascript">
(function () {
var x;
var y;
var i;
for ( i = 0; i < 100; i++ ) {
x = rand( -50, 50 );
y = rand( -50, 50 );
console.log( '%d + %d = %d', x, y, addf( x, y ) );
}
})();
</script>
</body>
</html>@stdlib/math-base/ops/add: compute the sum of two double-precision floating-point numbers.@stdlib/math-base/ops/divf: divide two single-precision floating-point numbers.@stdlib/math-base/ops/mulf: multiply two single-precision floating-point numbers.@stdlib/math-base/ops/subf: subtract two single-precision floating-point numbers.
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.
See LICENSE.
Copyright © 2016-2024. The Stdlib Authors.