Prim's Algorithm for Minimum Spanning Tree
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Questions and Answers

What is the primary purpose of Prim's algorithm?

  • To find the minimum spanning tree of a connected graph (correct)
  • To find the shortest path in a graph
  • To identify the nodes with the highest degree in a graph
  • To determine the number of edges in a graph
  • What is the time complexity of Prim's algorithm using a binary heap?

  • O(|V|log|E|)
  • O(|V| + |E|)
  • O(|E|^2)
  • O(|E|log|V|) (correct)
  • In Prim's algorithm, how do you select the next edge to add to the MST?

  • Choose the edge with the maximum weight
  • Choose an edge at random
  • Select the edge with the minimum weight that connects a node in the MST to a node not in the MST (correct)
  • Select the edge with the highest degree node
  • What is the space complexity of Prim's algorithm?

    <p>O(|V| + |E|)</p> Signup and view all the answers

    What is the result of applying Prim's algorithm to the example graph?

    <p>A --2--&gt; B --3--&gt; C --5--&gt; D</p> Signup and view all the answers

    What is the first step in Prim's algorithm?

    <p>Choose a starting node</p> Signup and view all the answers

    Study Notes

    Prim's Algorithm

    Overview

    • A greedy algorithm used to find the minimum spanning tree (MST) of a connected, undirected, and weighted graph.
    • It is an efficient solution for finding the MST in a graph with non-negative edge weights.

    How it Works

    1. Choose a starting node: Select an arbitrary node from the graph as the starting point.
    2. Initialize the MST: Create an empty minimum spanning tree and add the starting node to it.
    3. Grow the MST: In each iteration, select the edge with the minimum weight that connects a node in the MST to a node not in the MST.
    4. Add the edge and node: Add the selected edge and node to the MST.
    5. Repeat until complete: Continue growing the MST until all nodes in the graph are included.

    Key Properties

    • Time Complexity: O(|E|log|V|) using a binary heap, where |E| is the number of edges and |V| is the number of vertices.
    • Space Complexity: O(|V| + |E|) to store the graph and the MST.

    Example

    Suppose we have a graph with nodes A, B, C, and D, and edges with weights as follows:

    A --2--> B
    |    / |    |
    | 3 /  | 4  |
    |/    |    |
    C --5--> D
    

    Applying Prim's algorithm, we can find the MST as follows:

    1. Start with node A.
    2. Add edge AB (weight 2) and node B to the MST.
    3. Add edge BC (weight 3) and node C to the MST.
    4. Add edge CD (weight 5) and node D to the MST.

    The resulting MST is:

    A --2--> B --3--> C --5--> D
    

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    Description

    Learn about Prim's algorithm, a greedy approach to find the minimum spanning tree in a connected, undirected, and weighted graph. Understand its time and space complexity and see an example of how to apply it.

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