ScholarLens Back to search
2018•European Journal of Science and TechnologyOpen access

Negligence Minimum Spanning Tree Algorithm

Ayla Şaylı, Jumana H. S. Alkhalissi

Open full text 1 citations

Abstract

In the life, we always aim to do anything with the less cost considering time and distance. In graph theory, finding a minimum weight (cost or path) is a well-known problem. A minimum spanning tree is one of the methods brought for this purpose. In this work, we consider a negligence algorithm to find a minimum spanning tree in another way. We report a comparison between our algorithm and Kruskal's MST algorithm. We implemented some examples of the graphs to get the results in less time and more effectively.

Open-access reader

About this research paper

What this paper is about

In the life, we always aim to do anything with the less cost considering time and distance. In graph theory, finding a minimum weight (cost or path) is a well-known problem. A minimum spanning tree is one of the methods brought for this purpose. In this work, we consider a negligence algorithm to find a minimum spanning tree in another way. We report a comparison between our algorithm and Kruskal's MST algorithm. We implemented some examples of the graphs to get the results in less time and more effectively.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In the life, we always aim to do anything with the less cost considering time and distance. In graph theory, finding a minimum weight (cost or path) is a well-known problem. A minimum spanning tree is one of the methods brought for this purpose. In this work, we consider a negligence algorithm to find a minimum spanning tree in another way. We report a comparison between our algorithm and Kruskal's MST algorithm. We implemented some examples of the graphs to get the results in less time and more effectively.

Key concepts: Kruskal's algorithm, Minimum spanning tree, Distributed minimum spanning tree, Reverse-delete algorithm, Spanning tree, Prim's algorithm, Minimum weight, Euclidean minimum spanning tree

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Negligence Minimum Spanning Tree Algorithm — Research Paper | ScholarLens