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.
When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.
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!
Fast math special functions.
To use in Observable,
fmath = require( 'https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-fast@umd/browser.js' )To vendor stdlib functionality and avoid installing dependency trees for Node.js, you can use the UMD server build:
var fmath = require( 'path/to/vendor/umd/math-base-special-fast/index.js' )To include the bundle in a webpage,
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-fast@umd/browser.js"></script>If no recognized module system is present, access bundle contents via the global scope:
<script type="text/javascript">
(function () {
window.fmath;
})();
</script>Namespace containing "fast" math special functions.
var fcns = fmath;
// returns {...}abs( x ): compute an absolute value.acosh( x ): compute the hyperbolic arccosine of a number.ampbm( x, y ): compute the hypotenuse using the alpha max plus beta min algorithm.asinh( x ): compute the hyperbolic arcsine of a number.atanh( x ): compute the hyperbolic arctangent of a number.hypot( x, y ): compute the hypotenuse.max( x, y ): return the maximum value.min( x, y ): return the minimum value.powint( base, exponent ): exponential function.log2Uint32( x ): compute an integer binary logarithm.sqrtUint32( x ): compute an integer square root.
- Implementations may violate strict IEEE semantics.
- Implementations may assume arguments and results are not
NaN. - Implementations may assume arguments are neither positive or negative
infinity. - Implementations may ignore the sign of zero.
<!DOCTYPE html>
<html lang="en">
<body>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/utils-keys@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-fast@umd/browser.js"></script>
<script type="text/javascript">
(function () {
console.log( objectKeys( fmath ) );
})();
</script>
</body>
</html>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.