# ndarray-blas-dger

> BLAS Level 2 DGER for ndarrays

Latest version **1.0.2** (published 2015-06-16) · MIT license · 0 weekly downloads

## Install

```sh
npm install ndarray-blas-dger
pnpm add ndarray-blas-dger
yarn add ndarray-blas-dger
bun add ndarray-blas-dger
```

## Health

**Score 15/100 (F)** — status: abandoned.

Positive: no vulnerabilities.

Warnings: low downloads; no types; no esm support.

Negative: abandoned; low maintenance score.

## Facts

| | |
|---|---|
| Version | 1.0.2 |
| Published | 2015-06-16 |
| First published | 2015-05-29 |
| Weekly downloads | 0 |
| License | MIT |
| TypeScript types | none |
| Module format | CommonJS |
| Dependencies | 1 |
| Known vulnerabilities | 0 |
| Install scripts | no |
| GitHub stars | 3 |
| Author | Jalmari Raippalinna |
| Maintainers | jalavar, rreusser |
| Keywords | blas, ndarray, scijs, linearalgebra |

## Links

- npm: https://www.npmjs.com/package/ndarray-blas-dger
- Repository: https://github.com/scijs/ndarray-blas-dger
- Homepage: https://github.com/scijs/ndarray-blas-dger#readme
- Issues: https://github.com/scijs/ndarray-blas-dger/issues
- npm.io page: https://npm.io/package/ndarray-blas-dger

## Dependencies (1)

- [ndarray-blas-level1](https://npm.io/package/ndarray-blas-level1.md) ^1.0.5

## Recent versions

- 1.0.2 (latest) — 2015-06-16
- 1.0.1 — 2015-06-16
- 1.0.0 — 2015-06-16
- 0.0.1 — 2015-05-29

## README

# ndarray-blas-dger

[![npm version](https://badge.fury.io/js/ndarray-blas-dger.svg)](http://badge.fury.io/js/ndarray-blas-dger) [![Dependency Status](https://david-dm.org/jalava/ndarray-blas-dger.svg)](https://david-dm.org/jalava/ndarray-blas-dger)

BLAS Level 2 DGER for [ndarrays](https://github.com/scijs/ndarray)

## Usage

#### `dger( alpha, A, x, y )`
Performs the rank 1 operation `A <- alpha * x * yT + A` for scalar alpha, m element vector x, n element vector y and m x n element matrix A.

Result is overwritten in matrix A. All other inputs are unchanged.

## Example

```javascript
var dger = require('ndarray-blas-dger')

var A = ndarray([1,2,3,4,5,6], [2,2]),
    x = ndarray([1,2]),
    y = ndarray([3,4,5])

dger( -4, x, y, A );

// Result: A =  -11.000  -22.000
//              -13.000  -28.000
//              -15.000  -34.000
```

## Credits
(c) 2015 Jalmari Raippalinna. MIT License

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