Challenge: All-Pairs Shortest Paths
Explore the modified Johnson’s algorithm to compute shortest paths between all vertex pairs in a graph or detect negative cycles efficiently. Learn how to combine Bellman-Ford and Dijkstra algorithms through Python implementation, while understanding time complexity and optimization techniques.
We'll cover the following...
Let's practice what we have learned so far.
Task
The algorithms described in this chapter can also be modified to return an explicit description of some negative cycle in the input graph , if one exists, instead of only reporting whether or not contains a negative cycle. Analyze the provided algorithm and then provide its Python implementation in the coding workspace provided below.
Logic building
Here’s an algorithm for the modified version of Johnson’s algorithm that returns either the array of all shortest path distances or a negative cycle.
Algorithm
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Let be the input graph, with vertices and edges .
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Add a new vertex to and add zero-weight edges from to all vertices in .
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Run the Bellman-Ford algorithm with as the source vertex to compute a new set of edge weights that satisfy the following property: for any edge ...