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Our current shortest path implementation uses delta stepping to parallelize Dijkstra's algorithm efficiently on the GPU.
Dijkstra's algorithm requires all edges to have positive weights. In order to support weight 0 edges and negative weight edges we need to implement the Bellman-Ford algorithm.
This issue is to provide a C++ implementation of Bellman-Ford.
The text was updated successfully, but these errors were encountered:
ChuckHastings
changed the title
Implement MNMG Weighted Matching approximation algorithm
Implement MNMG Bellman-Ford algorithm to compute shortest paths in the presence of 0 and negative weights
May 14, 2024
Our current shortest path implementation uses delta stepping to parallelize Dijkstra's algorithm efficiently on the GPU.
Dijkstra's algorithm requires all edges to have positive weights. In order to support weight 0 edges and negative weight edges we need to implement the Bellman-Ford algorithm.
This issue is to provide a C++ implementation of Bellman-Ford.
The text was updated successfully, but these errors were encountered: