Elevate your knowledge of the renowned Prim's Algorithm with our meticulously crafted notes. Designed to empower students, researchers, and professionals, these comprehensive notes provide a clear and in-depth exploration of this fundamental graph theory algorithm.
Prim’s algorithm:
It is a greedy algorithm that finds the minimum spanning tree for weighted undirected
trees it turns a cyclic graph into a minimum spanning tree. it finds a subset of the
edges which connect every node where the total weight of all the edges in the tree is
minimised. Kruskal’s algorithm can find a minimum spanning forest, whilst prims only
finds the minimum spanning tree.
Here are the corrected steps for Prim's algorithm:
1. Initialise the minimum spanning tree with an arbitrary node.
2. Find the edge with the minimum weight connecting a vertex in the minimum
spanning tree and a vertex not in the minimum spanning tree.
3. Add the selected edge and the new vertex to the minimum spanning tree.
4. Repeat steps 2 and 3 until all vertices are in the minimum spanning tree.
Prim’s Algorithm 1
, Note that there is no bias for a shorter path from the first node if two edges
connecting the same vertex in the graph one of them is randomly selected. The
algorithm finds the minimum weight tree that connects all vertices in a graph and has
no concern for the starting point and ending point; all nodes are treated equally.
Time Complexity:
The time complexity of Prim's algorithm depends on the data structure used to
represent the graph and the method used to order the edge weights. Typically, a
priority queue is used to order the edges by weight. The time complexity of the
algorithm is O(E log V), where E is the number of edges and V is the number of
vertices in the graph. This is because the algorithm needs to visit every edge in the
graph and perform a constant amount of work for each edge. In addition to this, the
priority queue operations take O(log E) time, which is dominated by the O(E log V)
term. Therefore, Prim's algorithm is efficient for dense graphs and can handle graphs
with many edges. However, for sparse graphs, a different algorithm such as
Kruskal's algorithm may be more efficient.
Facts and Stats:
1. Prim's algorithm finds minimum spanning trees in weighted graphs.
2. It starts with a single vertex and adds edges gradually.
3. The algorithm is greedy, selecting the cheapest edge at each step.
4. It guarantees to find the optimal solution for connected graphs.
5. The time complexity is O(E log V) using a priority queue.
6. It was developed by Czech mathematician Vojtěch Jarník in 1930s.
7. Prim's algorithm can be used for network design and clustering problems.
8. It is similar to Kruskal's algorithm but more efficient on dense graphs.
Prim’s Algorithm 2
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller prerakpatel. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $9.49. You're not tied to anything after your purchase.
