https://github.com/aggelgian/erlang-algorithms

Implementations of popular data structures and algorithms
https://github.com/aggelgian/erlang-algorithms

Last synced: about 1 month ago
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Implementations of popular data structures and algorithms

• Host: GitHub
• URL: https://github.com/aggelgian/erlang-algorithms
• Owner: aggelgian
• License: apache-2.0
• Created: 2013-01-15T01:08:36.000Z (almost 12 years ago)
• Default Branch: master
• Last Pushed: 2020-05-01T17:18:03.000Z (over 4 years ago)
• Last Synced: 2024-08-02T02:11:09.973Z (4 months ago)
• Language: Erlang
• Homepage: http://aggelgian.github.com/erlang-algorithms
• Size: 143 KB
• Stars: 157
• Watchers: 24
• Forks: 33
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

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README

        
erlang-algorithms

=================

### About the project

The goal of this project is to implement some useful algorithms and data structures in Erlang so as to help anyone who may need them.

*  Currently Implemented Data Structures:

	*  Directed, Undirected, Weighted, Unweighted Graphs

	*  Min / Max Heaps

	*  Union / Find

*  Currently Implemented Algorithms:

	*  BFS

	*  DFS

	*  Dijkstra

	*  Kruskal

	*  Edmonds-Karp

	*  Ford-Fulkerson

	*  A*

### How to Compile and Run

*  Compile the source code and the demo : `make`

*  Run dialyzer : `make dialyzer`

*  All of the above : `make all`

*  Run the demo : `make demo`

*  Make edoc : `make edoc`

The files in the `demo` folder contain functions that demostrate the code in action.

For full documentation check the [site](http://aggelgian.github.com/erlang-algorithms)

### License

This project is released under the [Apache License 2.0](http://www.apache.org/licenses/LICENSE-2.0).