This C++ Optimization Library is a versatile collection of modules and algorithms designed to help you solve a variety of optimization problems related to graph theory. Whether you're working on finding the shortest paths, maximum flows, or implementing popular algorithms like Dijkstra's, A* search, Edmonds-Karp, Floyd-Warshall, and Hungarian, this library has you covered.
- Features
- Modules
- Optimization Algorithms
- Contributing
- Implement classic graph algorithms like Dijkstra’s, A* search, Edmonds-Karp, Floyd-Warshall, and Hungarian.
- Leverage optimization techniques to make graph algorithms more efficient.
- Solve practical optimization problems, including shortest paths and network flows.
- Easy-to-use C++ library with well-documented modules.
- Dijkstra's Algorithm: Find the shortest path from a source node to all other nodes in a weighted graph.
- A Search*: Implement the A* search algorithm for efficient pathfinding in graphs.
- Edmonds-Karp Algorithm: Solve the maximum flow problem in a flow network using the Edmonds-Karp algorithm.
- Floyd-Warshall Algorithm: Compute all-pairs shortest paths in a weighted graph using Floyd-Warshall.
- Hungarian Algorithm: Solve the assignment problem using the Hungarian algorithm for maximum bipartite matching.
- Ford-Fulkerson: To find the maximum flow in a flow network.
- Bellman-Ford algorithm: Finds the shortest path from a source node to all other nodes in a weighted directed graph, even if the graph contains edges with negative weights.
This library will include optimization techniques to make graph algorithms more efficient, including:
- Memory-efficient representations of data structures.
- Parallelization for multi-core systems.
- Early termination and pruning strategies.
- Handling sparse graphs efficiently.
Contributions to this library are welcome! If you have ideas for improvements or new features, please open an issue or submit a pull request. Make sure to follow the project's coding guidelines and maintain a respectful and collaborative environment.