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Challenge: Minimum Spanning Trees

Explore how to update a minimum spanning tree when the weight of an edge decreases. Learn to implement an algorithm that finds the heaviest edge on the path between two nodes using depth-first search, then updates the tree structure efficiently in Python.

Let's practice what we have learned so far.

Task

Suppose we are given both an undirected graph G with weighted edges and a minimum spanning tree T of G. Provide code to update the minimum spanning tree when the weight of a single edge e is decreased. We can follow the algorithm described below.

Logic building

Here’s the algorithm to update the minimum spanning tree TT when the weight of a single edge ee is decreased:

Algorithm


  • Identify the two nodes uu and vv that the edge ee connects.
  • Find the path PP in the minimum spanning tree TT that connects uu and vv
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