Solution: All-Pairs Shortest Paths
Explore the implementation of Johnson's algorithm for computing all-pairs shortest paths in graphs. Understand how the algorithm detects negative cycles using Bellman-Ford, adjusts edge weights, and then applies Dijkstra's algorithm for optimized shortest path calculation. This lesson equips you to analyze and code this complex algorithm in Python while grasping its time complexity and practical applications.
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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 ...