graph-algorithm-library

Solid

Comprehensive graph algorithms implementation

AI & Automation 814 stars 53 forks Updated today MIT

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# Graph Algorithm Library ## Purpose Provides comprehensive graph algorithms for combinatorial analysis and network computations. ## Capabilities - Shortest path algorithms (Dijkstra, Bellman-Ford, Floyd-Warshall) - Network flow algorithms - Matching algorithms - Graph coloring - Planarity testing - Graph isomorphism ## Usage Guidelines 1. **Representation**: Choose appropriate graph representation 2. **Algorithm Selection**: Match algorithm to problem structure 3. **Complexity Analysis**: Consider time/space tradeoffs 4. **Sparse Graphs**: Use specialized algorithms for sparse graphs ## Tools/Libraries - NetworkX - igraph - LEMON - Boost Graph Library

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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