LEARNING JOURNAL

I created this learning journal to practice writting and to help me learn by writting everything down. Source code here

2/27/2024

Min Cost to Connect All Points

THE PROBLEM

This is the Kruskal approach for the problem. Basically, you sort the edges in the ascending order, then you add them back gradually until you can connect all of the nodes in the graph. If you find edges that connect two nodes of the same group, you ignore it so that you don't add a circle to the graph. To detect 2 nodes of the same group, you use Union-Find algorithm.

Revised by ChatGPT

This solution implements Kruskal's algorithm to find the minimum cost to connect all points in a 2D plane. The algorithm works as follows:

  1. Sort the Edges: First, we create a list of all possible edges between the points, where each edge is represented by the Manhattan distance between two points. We then sort these edges in ascending order of their distances.
  2. Uniion-Find Data Structure: We use the Union-Find data structure to keep track of which points are connected. Initially, each point is in its own group.
  3. Building the Minimum Spanning Tree (MST): We iterate through the sorted edges and for each edges, we check if the two points it connects are in the same group:
  • If they are in different groups, it means adding this edge will not form a cycle. So, we add the edge to the MST, and merge the two groups using the Union operation.
  • If they are in the same group, we ignore the edge to avoid creating a cycle.
  1. Stop Condition: We continue adding edges until all points are connected, i.e., there is only one group left that contains all points.

By following is approach, we ensure that we construct a minimum spanning tree that connects all points with the minimum total cost.