Prim's Algorithm: Difference between revisions
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Prim's algorithm is a [[Algorithms#Greedy_Algorithms|greedy algorithm]] that computes the [[The_Minimum_Spanning_Tree_Problem|minimum cost spanning tree]] of a an undirected graph. Even if the algorithm was named after Prim, it was discovered earlier by Jarník. The algorithm is similar to [[Dijkstra%27s_Shortest-Path_Algorithm|Dijkstra's shortest-path algorithm]]. | Prim's algorithm is a [[Algorithms#Greedy_Algorithms|greedy algorithm]] that computes the [[The_Minimum_Spanning_Tree_Problem|minimum cost spanning tree]] of a an undirected graph. Even if the algorithm was named after Prim, it was discovered earlier by Jarník. The algorithm is similar to [[Dijkstra%27s_Shortest-Path_Algorithm|Dijkstra's shortest-path algorithm]]. | ||
The running time of optimized implementation of the Prim's algorithm is O(m log n). | The running time of [[Prim%27s_Algorithm#Optimized_Implementation|optimized implementation]] of the Prim's algorithm is O(m log n). | ||
=Non-Optimized Implementation= | =Non-Optimized Implementation= |
Revision as of 22:38, 20 October 2021
External
- https://www.coursera.org/learn/algorithms-greedy/lecture/tQ6gK/prims-mst-algorithm
- https://en.wikipedia.org/wiki/Prim's_algorithm
Internal
Overview
Prim's algorithm is a greedy algorithm that computes the minimum cost spanning tree of a an undirected graph. Even if the algorithm was named after Prim, it was discovered earlier by Jarník. The algorithm is similar to Dijkstra's shortest-path algorithm.
The running time of optimized implementation of the Prim's algorithm is O(m log n).
Non-Optimized Implementation
The Prim algorithm randomly selects a node. It then enters a loop where at each iteration adds a new edge and spans one new vertex, adjacent to the ones already spanning. The new vertex added to the "explored territory" is selected so it can be reached via the cheapest edge. This is what makes Prim's algorithm a greedy algorithm.
Initialize X={s} # X is the set of vertices that we spanned so far, s ∈ V chosen arbitrarily Initialize T=∅ # T is the minimum spanning tree built so far. Invariant: X = vertices spanned by the three-so-far T while X ≠ V: # The main loop, each iteration grows X with one node let e=(u,v) be the cheapest edge of G with u ∈ X, v ∉ X add e to T add v to X
Correctness Proof
The Prim's algorithm always computes a MST.