Question 1

How to compile and use erlang-algorithms in my Erlang project?

Accepted Answer

Follow the README: use 'make' to compile source code, 'make demo' to run examples, and include the compiled beams in your code path for integration. This requires Erlang and Make tools, which might need setup for new users.

Question 2

Is erlang-algorithms suitable for production environments?

Accepted Answer

While it includes testing with dialyzer, it's primarily educational; for production, consider its limited scope and potential lack of ongoing support compared to more robust, commercial libraries in Erlang or other languages.

Question 3

What graph algorithms does erlang-algorithms include?

Accepted Answer

It includes BFS, DFS, Dijkstra, Kruskal, Edmonds-Karp, Ford-Fulkerson, and A* search, as listed in the README, covering common pathfinding and network flow algorithms useful for Erlang applications.

Question 4

erlang-algorithms vs digraph: which is better for Erlang graph processing?

Accepted Answer

erlang-algorithms offers educational implementations of specific algorithms with a functional focus, while digraph is Erlang's standard library for graph data structures with basic operations. Choose based on need for learning vs. production-ready, supported components.

Question 5

How does erlang-algorithms handle weighted graphs?

Accepted Answer

The library supports weighted and unweighted graphs through its data structure implementations, allowing algorithms like Dijkstra to work with edge weights, as mentioned in the Key Features for practical utility.

Question 6

Can I extend erlang-algorithms with new algorithms or contribute?

Accepted Answer

Yes, it's open-source under Apache License 2.0, so you can fork and contribute; however, check the GitHub site for guidelines, as active maintenance may be limited, affecting collaboration and updates.

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