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  1. Oct 5, 2023 · A minimum spanning tree (MST) or minimum weight spanning tree for a weighted, connected, undirected graph is a spanning tree with a weight less than or equal to the weight of every other spanning tree. To learn more about Minimum Spanning Tree, refer to this article.

  2. Kruskal's algorithm is a minimum spanning tree algorithm that takes a graph as input and finds the subset of the edges of that graph.

  3. Kruskal's minimal spanning tree algorithm is one of the efficient methods to find the minimum spanning tree of a graph. A minimum spanning tree is a subgraph that connects all the vertices present in the main graph with the least possible edges and minimum cost (sum of the weights assigned to each edge).

  4. Kruskal's Algorithm: An algorithm to construct a Minimum Spanning Tree for a connected weighted graph. It is a Greedy Algorithm. The Greedy Choice is to put the smallest weight edge that does not because a cycle in the MST constructed so far. If the graph is not linked, then it finds a Minimum Spanning Tree. Steps for finding MST using Kruskal ...

  5. Jun 8, 2022 · Minimum spanning tree - Kruskal's algorithm¶ Given a weighted undirected graph. We want to find a subtree of this graph which connects all vertices (i.e. it is a spanning tree) and has the least weight (i.e. the sum of weights of all the edges is minimum) of all possible spanning trees.

  6. A minimum spanning tree of a connected weighted graph is a connected subgraph, without cycles, for which the sum of the weights of all the edges in the subgraph is minimal. For a disconnected graph, a minimum spanning forest is composed of a minimum spanning tree for each connected component .

  7. Oct 4, 2018 · How many minimum spanning trees are possible using Kruskal’s algorithm for a given graph – If all edges weight are distinct, minimum spanning tree is unique. If two edges have same weight, then we have to consider both possibilities and find possible minimum spanning trees.