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

advanced-calculus-toolkit

v1.0.6

Published

This module provides a collection of functions for performing various calculus operations such as derivatives, integrals, and numerical methods for improving accuracy.

Downloads

9

Readme

Advanced Calculus Toolkit

This module provides a collection of functions for performing various calculus operations such as derivatives, integrals, and numerical methods for improving accuracy.

Functions

highOrderDerivative(func, x, order, dx = 0.0001)

Calculates the high-order derivative of a given function func at point x up to the specified order. Uses a recursive approach by iteratively applying the derivative function from the math-kit module.

  • func: Function - The function for which the derivative is calculated.
  • x: Number - The point at which the derivative is evaluated.
  • order: Number - The order of the derivative to be calculated.
  • dx: Number - The small increment for calculating the derivative. Default value is 0.0001.

definiteIntegral(func, a, b, dx = 0.0001)

Computes the definite integral of a function func over the interval [a, b]. Utilizes the integral function from the math-kit module.

  • func: Function - The function to be integrated.
  • a: Number - The lower bound of the interval.
  • b: Number - The upper bound of the interval.
  • dx: Number - The small increment for calculating the integral. Default value is 0.0001.

simpsonsRule(func, a, b, n = 100)

Approximates the definite integral of a function func over the interval [a, b] using Simpson's rule, a numerical integration method.

  • func: Function - The function to be integrated.
  • a: Number - The lower bound of the interval.
  • b: Number - The upper bound of the interval.
  • n: Number - The number of subintervals. Must be even. Default value is 100.

rombergsMethod(func, a, b, maxIterations = 100, tolerance = 1e-6)

Computes the definite integral of a function func over the interval [a, b] using Romberg integration, a method for improving the accuracy of numerical integration.

  • func: Function - The function to be integrated.
  • a: Number - The lower bound of the interval.
  • b: Number - The upper bound of the interval.
  • maxIterations: Number - The maximum number of iterations for Romberg integration. Default value is 100.
  • tolerance: Number - The tolerance level for convergence. Default value is 1e-6.

Usage

Import the module:

javascript import { highOrderDerivative, definiteIntegral, simpsonsRule, rombergsMethod } from 'advanced-calculus-toolkit';

Lisensi

MIT