What are the applications of a minimum spanning tree?

Applications. Minimum spanning trees have direct applications in the design of networks, including computer networks, telecommunications networks, transportation networks, water supply networks, and electrical grids (which they were first invented for, as mentioned above).

What are the applications of a minimum spanning tree Mcq?

(i) It can be used to determine whether a graph is cycle or not. (ii) It identifies the connected components of an undirected graph. (iii) Traverses a single path of the graph until it visits a node with no successor.

What is application of Kruskal’s minimum spanning tree algorithm?

Kruskal’s algorithm is a minimum-spanning-tree algorithm which finds an edge of the least possible weight that connects any two trees in the forest. It is a greedy algorithm in graph theory as it finds a minimum spanning tree for a connected weighted graph adding increasing cost arcs at each step.

Which of the following statement about the minimum spanning tree is correct?

A minimum spanning tree must have the edge with the smallest weight (In Kruskal’s algorithm we start from the smallest weight edge). So, C is TRUE.

Which of the following is application of Kruskal’s algorithm Mcq?

Kruskal’s Algorithm Multiple Choice Questions and Answers (MCQs) Explanation: The Kruskal’s algorithm is used to find the minimum spanning tree of the connected graph. It construct the MST by finding the edge having the least possible weight that connects two trees in the forest.

What are minimum spanning trees explain with a suitable example Kruskal’s method to find minimum spanning tree?

Kruskal’s algorithm to find the minimum cost spanning tree uses the greedy approach. This algorithm treats the graph as a forest and every node it has as an individual tree. A tree connects to another only and only if, it has the least cost among all available options and does not violate MST properties.