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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.
Aspect | Prim's Algorithm | Kruskal's Algorithm |
---|---|---|
Approach | Grows a connected MST from a single vertex. | Adds smallest edges, ensuring no cycles. |
Graph Representation | Works well with adjacency matrices. | Works well with edge lists. |
Efficiency | (matrix), (heap). | (edge sorting dominates). |
Use Case | Dense graphs or pre-sorted weight matrices. | Sparse graphs or edge-heavy graphs. |
Cycle Detection | Implicit (grows a tree). | Explicit (uses disjoint sets/union-find). |
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