npm package: @stdlib/utils-compact-adjacency-matrix
Description: Compact adjacency matrix.
Author: The Stdlib Authors
Latest version: 0.2.1

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# CompactAdjacencyMatrix

[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] <!-- [![dependencies][dependencies-image]][dependencies-url] -->

> Compact adjacency matrix constructor.

<section class="installation">

## Installation

```bash
npm install @stdlib/utils-compact-adjacency-matrix
```

</section>

<section class="usage">

## Usage

```javascript
var CompactAdjacencyMatrix = require( '@stdlib/utils-compact-adjacency-matrix' );
```

#### CompactAdjacencyMatrix( N )

Returns a compact adjacency matrix instance.

```javascript
var adj = new CompactAdjacencyMatrix( 4 );
// returns <CompactAdjacencyMatrix>

// ...

adj.addEdge( 0, 1 );
adj.addEdge( 0, 2 );
adj.addEdge( 1, 2 );
adj.addEdge( 2, 3 );
```

</section>

<!-- /.usage -->

<section class="examples">

## Examples

<!-- eslint no-undef: "error" -->

```javascript
var CompactAdjacencyMatrix = require( '@stdlib/utils-compact-adjacency-matrix' );

// Create a new adjacency matrix:
var adj = new CompactAdjacencyMatrix( 4 );

// Add edges:
adj.addEdge( 1, 0 );
adj.addEdge( 1, 2 );
adj.addEdge( 0, 2 );
adj.addEdge( 2, 3 );

// Compute the indegrees and outdegrees for each vertex:
var id;
var od;
var i;
for ( i = 0; i < 4; i++ ) {
    id = adj.inDegree( i );
    od = adj.outDegree( i );
    console.log( 'vertex: %d. indegree: %d. outdegree: %d.', i, id, od );
}

// Print the list of all edges:
console.log( adj.edges );
// => [ [ 0, 2 ], [ 1, 0 ], [ 1, 2 ], [ 2, 3 ] ]

// Convert the adjacency matrix to an adjacency list representation:
console.log( adj.toAdjacencyList() );
// => [ [ 2 ], [ 0, 2 ], [ 3 ], [] ]

// Compute a topological ordering:
console.log( adj.toposort() );
// => [ [ 1, 0, 2, 3 ], null ]
```

</section>

<!-- /.examples -->

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</section>

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<section class="main-repo" >

* * *

## Notice

This package is part of [stdlib][stdlib], a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop [stdlib][stdlib], see the main project [repository][stdlib].

#### Community

[![Chat][chat-image]][chat-url]

---

## License

See [LICENSE][stdlib-license].


## Copyright

Copyright &copy; 2016-2024. The Stdlib [Authors][stdlib-authors].

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