Johnson’s All-Pairs Shortest Paths Algorithm in R#223
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siriak merged 1 commit intoTheAlgorithms:masterfrom Oct 18, 2025
Merged
Johnson’s All-Pairs Shortest Paths Algorithm in R#223siriak merged 1 commit intoTheAlgorithms:masterfrom
siriak merged 1 commit intoTheAlgorithms:masterfrom
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Pull Request Overview
This PR implements Johnson's algorithm for computing all-pairs shortest paths in sparse directed graphs with potentially negative edge weights (but no negative cycles). The implementation combines Bellman-Ford for edge reweighting with Dijkstra's algorithm for efficient shortest path computation.
Key Changes:
- Adds a complete implementation of Johnson's algorithm with helper functions for priority queue operations, Bellman-Ford potentials, and Dijkstra's algorithm
- Includes negative cycle detection and clear error messaging
- Provides a working demonstration with a 5-vertex graph containing negative edges
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This PR introduces a fully documented implementation of Johnson’s algorithm for computing shortest paths between all pairs of vertices in a sparse weighted directed graph in R.
Overview
The
johnson_shortest_pathsfunction computes shortest paths efficiently in graphs with positive and negative edge weights (but no negative cycles). It uses a combination of Bellman-Ford to reweight edges and Dijkstra’s algorithm for shortest path computation from each vertex. This ensures optimal handling of sparse graphs and negative edges without introducing negative cycles.Features
Complexity
Demonstration
Run the included demo code to see Johnson’s algorithm in action on a 5-vertex graph with negative edges but no negative cycles. The output is a distance matrix representing shortest paths between all vertices.
Summary
This implementation expands the R graph algorithms module by adding a core algorithm for efficient all-pairs shortest paths in sparse graphs, suitable for network analysis, routing, and optimization.