@stdlib/math-base-tools
v0.3.0
Published
Base math tools.
Downloads
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Readme
Tools
Base math tools.
Installation
npm install @stdlib/math-base-tools
Usage
var tools = require( '@stdlib/math-base-tools' );
tools
Namespace containing "base" math tools.
var o = tools;
// returns {...}
continuedFraction( generator[, options ] )
: continued fraction approximation.evalpoly( c, x )
: evaluate a polynomial using double-precision floating-point arithmetic.evalpolyf( c, x )
: evaluate a polynomial using single-precision floating-point arithmetic.evalrational( P, Q, x )
: evaluate a rational function using double-precision floating-point arithmetic.evalrationalf( P, Q, x )
: evaluate a rational function using single-precision floating-point arithmetic.fibpoly( n, x )
: evaluate a Fibonacci polynomial.hermitepoly( n, x )
: evaluate a physicist's Hermite polynomial.lucaspoly( n, x )
: evaluate a Lucas polynomial.normhermitepoly( n, x )
: evaluate a normalized Hermite polynomial using double-precision floating-point arithmetic.sumSeries( generator[, options ] )
: compute the sum of an infinite series.
Examples
var objectKeys = require( '@stdlib/utils-keys' );
var tools = require( '@stdlib/math-base-tools' );
console.log( objectKeys( tools ) );
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.