Prim and Kruskal to the rescue! These are two algorithms that solve the same problem, finding a minimum weight spanning tree in a connected graph. Either works, though they use different approaches.

Optimizing Minimum Spanning Tree (MST) techniques improve large data graph processing. Developing improved methods to manage large-scale data set computational complexity is the goal. To calculate ...

cpp data-structures graph-theory prims-algorithm shortest-path minimum-spanning-tree adjacency-list dijkstras-algorithm multilist graph-operations Updated May 30, 2024 ...

Computing the Euclidean minimum spanning tree (Emst) is a computationally demanding step of many algorithms. While work-efficient serial and multithreaded algorithms for computing Emst are known, ...

In this work, we assessed the global connectivity and topological alterations among brain regions in bvFTD patients using a minimum spanning tree (MST) based analysis of resting state functional MRI ...

Discover the fascinating world of connected graphs with minimum diameter spanning trees and equal domination numbers in this insightful paper.

A spanning tree is a subset of a graph G, which has all the vertices covered with minimum possible number of edges, hence a spanning tree doesn’t have a cycle and it can’t be disconnected. A spanning ...