npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

integrate-adaptive-simpson

v1.1.1

Published

Integrate a system of ODEs using the Second Order Runge-Kutta (Midpoint) method

Downloads

470

Readme

integrate-adaptive-simpson

Build Status npm version Dependency Status js-semistandard-style

Compute a definite integral of one variable using Simpson's Rule with adaptive quadrature

Introduction

This module computes the definite integral using Romberg Integration based on Simpson's Rule. That is, it uses Richardson Extrapolation to estimate the error and recursively subdivide intervals until the error tolerance is met. The code is adapted from the pseudocode in Romberg Integration and Adaptive Quadrature.

Install

$ npm install integrate-adaptive-simpson

Example

To compute the definite integral execute:

var integrate = require('integrate-adaptive-simpson');

function f (x) {
  return Math.cos(1 / x) / x);
}

intiegrate(f, 0.01, 1, 1e-8);
// => -0.3425527480294604

To integrate a vector function, you may import the vectorized version. To compute a contour integral of, say, about , that is,

var integrate = require('integrate-adaptive-simpson/vector');

integrate(function (f, theta) {
  // z = unit circle:
  var c = Math.cos(theta);
  var s = Math.sin(theta);

  // dz:
  var dzr = -s;
  var dzi = c;

  // 1 / z at this point on the unit circle:
  var fr = c / (c * c + s * s);
  var fi = -s / (c * c + s * s);

  // Multiply f(z) * dz:
  f[0] = fr * dzr - fi * dzi;
  f[1] = fr * dzi + fi * dzr;
}, 0, Math.PI * 2);

// => [ 0, 6.283185307179586 ]

API

require('integrate-adaptive-simpson')( f, a, b [, tol, maxdepth]] )

Compute the definite integral of scalar function f from a to b.

Arguments:

  • f: The function to be integrated. A function of one variable that returns a value.
  • a: The lower limit of integration, .
  • b: The upper limit of integration, .
  • tol: The relative error required for an interval to be subdivided, based on Richardson extraplation. Default tolerance is 1e-8. Be careful—the total accumulated error may be significantly less and result in more function evaluations than necessary.
  • maxdepth: The maximum recursion depth. Default depth is 20. If reached, computation continues and a warning is output to the console.

Returns: The computed value of the definite integral.

require('integrate-adaptive-simpson/vector')( f, a, b [, tol, maxdepth]] )

Compute the definite integral of vector function f from a to b.

Arguments:

  • f: The function to be integrated. The first argument is an array of length n into which the output must be written. The second argument is the scalar value of the independent variable.
  • a: The lower limit of integration, .
  • b: The upper limit of integration, .
  • tol: The relative error required for an interval to be subdivided, based on Richardson extraplation. Default tolerance is 1e-8.
  • maxdepth: The maximum recursion depth. Default depth is 20. If reached, computation continues and a warning is output to the console.

Returns: An Array representing The computed value of the definite integral.

References

Colins, C., Romberg Integration and Adaptive Quadrature Course Notes.

License

(c) 2015 Scijs Authors. MIT License.