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Comparing MST Algorithms Simplified Revision Notes

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10.3.4 Comparing MST Algorithms

Introduction to the Minimum Spanning Tree Problem

A minimum spanning tree (MST) is a subset of edges in a connected, weighted graph that connects all vertices with the minimum possible total weight and no cycles. MSTs are widely used in network design, such as optimizing electrical grids, communication networks, or road systems.

Two key algorithms for solving MST problems are Prim's Algorithm and Kruskal's Algorithm.

Comparison: Prim vs. Kruskal

AspectPrim's AlgorithmKruskal's Algorithm
ApproachGrows a connected MST from a single vertex.Adds smallest edges, ensuring no cycles.
Graph RepresentationWorks well with adjacency matrices.Works well with edge lists.
EfficiencyO(v2)O(v^2) (matrix), O(elogv)O(e \log v) (heap).O(eloge)O(e \log e) (edge sorting dominates).
Use CaseDense graphs or pre-sorted weight matrices.Sparse graphs or edge-heavy graphs.
Cycle DetectionImplicit (grows a tree).Explicit (uses disjoint sets/union-find).
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