https://github.com/mathigon/fermat.js

Mathematics and statistics library for TypeScript.
https://github.com/mathigon/fermat.js

math mathematics statistics typescript

Last synced: about 11 hours ago
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Mathematics and statistics library for TypeScript.

• Host: GitHub
• URL: https://github.com/mathigon/fermat.js
• Owner: mathigon
• License: mit
• Created: 2014-09-14T18:38:38.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2024-11-01T10:42:10.000Z (about 2 months ago)
• Last Synced: 2024-11-02T02:42:50.945Z (about 2 months ago)
• Topics: math, mathematics, statistics, typescript
• Language: TypeScript
• Homepage: http://mathigon.io/fermat
• Size: 1.35 MB
• Stars: 104
• Watchers: 11
• Forks: 15
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Fermat.ts

[![Build Status](https://github.com/mathigon/fermat.js/workflows/CI%20Tests/badge.svg)](https://github.com/mathigon/fermat.js/actions?query=workflow%3A%22CI+Tests%22)

[![npm](https://img.shields.io/npm/v/@mathigon/fermat.svg)](https://www.npmjs.com/package/@mathigon/fermat)

[![npm](https://img.shields.io/github/license/mathigon/fermat.js.svg)](https://github.com/mathigon/fermat.js/blob/master/LICENSE)

Fermat.ts is a powerful mathematics and statistics library for TypeScript. It contains everything

from number theory to random numbers, expression parsing and linear algebra classes. It was

developed for [Mathigon.org](https://mathigon.org), an award-winning mathematics education

project.

## Features

Note: in version `0.6.0`, all geometry classes and functions were moved to

[@mathigon/euclid](https://github.com/mathigon/euclid.js)!

* Arithmetic: `nearlyEquals()`, `toWord()`, `toFraction()`, …

* Combinatorics: `factorial()`, `binomial()`, `permutations()`, `subsets()`

* Complex numbers: `Complex()`

* Cryptography: `caesarCipher()`, `vigenereCipher()`, `letterFrequency()`

* Matrices: `Matrix.product()`, `Matrix.determinant()`, `Matrix.inverse()`, …

* Number theory: `gcd()`, `isPrime()`, `generatePrime()`, `goldbach()`, …

* Numeric: `bisect()`, `integrate()`

* Random: `Random.shuffle()`, `Random.binomial()`, `Random.normalPDF()`, …

* Regression: `Regression.linear()`, `Regression.coefficient()`, …

* Statistics: `mean()`, `variance()`, `linearRegression()`, …

* Vector: `Vector()`

## Usage

First, install Fermat.ts from [NPM](https://www.npmjs.com/package/@mathigon/fermat)

using

```npm install @mathigon/fermat```

Now, simply import all functions and classes you need, using

```js

import {Complex, gcd} from '@mathigon/fermat'

```

## Contributing

We welcome community contributions: please file any bugs you find or send us

pull requests with improvements. You can find out more on

[Mathigon.io](https://mathigon.io).

Before submitting a pull request, you will need to sign the [Mathigon Individual

Contributor License Agreement](https://gist.github.com/plegner/5ad5b7be2948a4ad073c50b15ac01d39).

## Copyright and License

Copyright © Mathigon ([[email protected]](mailto:[email protected]))  

Released under the [MIT license](LICENSE)