# @types/gaussian-elimination

> TypeScript definitions for gaussian-elimination

Latest version **1.0.2** (published 2023-11-07) · MIT license · 0 weekly downloads

## Install

```sh
npm install @types/gaussian-elimination
pnpm add @types/gaussian-elimination
yarn add @types/gaussian-elimination
bun add @types/gaussian-elimination
```

## Health

**Score 45/100 (D)** — status: abandoned.

Positive: has types; no vulnerabilities; high maintenance score; popular repo; extremely popular.

Warnings: low downloads; no esm support.

Negative: abandoned.

## Facts

| | |
|---|---|
| Version | 1.0.2 |
| Published | 2023-11-07 |
| First published | 2021-06-18 |
| Weekly downloads | 0 |
| License | MIT |
| TypeScript types | bundled |
| Module format | CommonJS |
| Dependencies | 0 |
| Unpacked size | 3.3 KB |
| Known vulnerabilities | 0 |
| Install scripts | no |
| GitHub stars | 51446 |
| Maintainers | types |

## Links

- npm: https://www.npmjs.com/package/@types/gaussian-elimination
- Repository: https://github.com/DefinitelyTyped/DefinitelyTyped
- Homepage: https://github.com/DefinitelyTyped/DefinitelyTyped/tree/master/types/gaussian-elimination
- npm.io page: https://npm.io/package/@types/gaussian-elimination

## Recent versions

- 1.0.2 (latest) — 2023-11-07
- 1.0.0 (ts3.6) — 2021-06-18
- 1.0.1 — 2023-10-18

## README

# Installation
> `npm install --save @types/gaussian-elimination`

# Summary
This package contains type definitions for gaussian-elimination (https://www.npmjs.com/package/gaussian-elimination).

# Details
Files were exported from https://github.com/DefinitelyTyped/DefinitelyTyped/tree/master/types/gaussian-elimination.
## [index.d.ts](https://github.com/DefinitelyTyped/DefinitelyTyped/tree/master/types/gaussian-elimination/index.d.ts)
````ts
/**
 * Solves a linear equation system and returns the values of the missing variables.
 * @param mat The matrix (the linear equation system) holding the coefficiants of the missing variables in the system; the last element of the nested arrays being the solution to each equation.
 */

declare function gauss(mat: number[][]): number[];

export = gauss;

````

### Additional Details
 * Last updated: Tue, 07 Nov 2023 03:09:37 GMT
 * Dependencies: none

# Credits
These definitions were written by [paracosm](https://github.com/codecosm).

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_Source: https://npm.io/package/@types/gaussian-elimination · Machine-readable twin of the npm.io package page. Health data is recomputed on every publish._
