Optimization solvers in pure Python: LP, MILP, SAT, constraint programming, graph and metaheuristics. No dependencies. Solvor all your optimization needs.
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Updated
Apr 7, 2026 - Python
Optimization solvers in pure Python: LP, MILP, SAT, constraint programming, graph and metaheuristics. No dependencies. Solvor all your optimization needs.
Graph Theory algorithms: Vertex Coloring, Bellman-Ford, Dijkstra's, Hopcroft-Karp, Prim's, Topological Sorting, Floyd-Warshall
Several classical algorithms in graph theory, using NetworkX to simply visualize results.
A collection of some of the most frequently used Algorithms in C++ and Python
Application to find shortest distance or duration or (fake price) of connecting flights through Floyd-Warshall algorithm.
A comprehensive collection of graph algorithms implemented in Python, including BFS, DFS, Dijkstra, Bellman-Ford, Floyd-Warshall, Tarjan’s SCC, Prim’s MST, Kahn’s and DFS-based topological sorts, as well as dynamic programming examples. Includes illustrative images for better understanding of each algorithm.
Python implementation of single-source and all-pairs shortest paths algorithms.
Recursive and iterative implementations of the Floyd-Warshall shortest path algorithm with benchmarking, unit testing and Sphinx documentation.
An implementation and analysis of 3 shortest path algorithms with Python.
Implementation of Different Advanced Algorithms
Problema dos caminhos mínimos e fluxo máximo
BFS, FLoyd Warshall, topological sorting, etc.
Floyd-Warshall algorithm
Floyd implementation in python
Floyd-Warshall shortest paths with step-by-step execution, path reconstruction, negative cycle detection, PyQt5 GUI with graph visualization.
Emergency ambulance dispatch optimization comparing Dijkstra and Floyd-Warshall algorithms — M.S. Computer Science coursework
This repo contains solutions to problems solved using dynamic programming with python.
Educational implementation and step-by-step visualization of the Floyd–Warshall algorithm: Python + matplotlib/networkx, GIF and MP4 animations, bilingual README (🇬🇧/🇺🇦)
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