Prim's algorithm is a popular method used in computer science for finding a minimum spanning tree for a connected, undirected graph. This means it finds a subset of the edges that forms a tree that includes every vertex, where the total weight of all the edges in the tree is minimized. Prim's algorithm is particularly useful in network design, such as designing the least expensive network of roads, pipes, or cables to connect multiple points.
Explanation of Prim's Algorithm
Here’s how Prim's algorithm works, step-by-step:
-
Initialize:
- Start with a graph that has vertices (nodes) connected by edges with weights.
- Select an arbitrary vertex to start the tree from.
- Initialize a priority queue to keep track of edges, where the edges are prioritized by their weights.
-
Grow the Spanning Tree:
- While there are still vertices not included in the tree:
- Add the least weight edge from the queue that connects a vertex in the tree to a vertex not yet in the tree.
- Add this new vertex to the tree.
- For each connected vertex to this newly added vertex, if it is not in the tree, add the corresponding edge to the priority queue.
- While there are still vertices not included in the tree:
-
Repeat until all vertices are included in the tree or all edges are considered.
Time Complexity Analysis
The time complexity of Prim's algorithm depends on the data structures used for the priority queue: