Performance evaluation of approximation algorithms for the minimum size 2-vertex strongly connected subgraph problem
Azzam Habib

TL;DR
This paper implements and tests approximation algorithms for finding the smallest 2-vertex strongly biconnected subgraph in directed graphs, demonstrating their practical effectiveness through experimental results.
Contribution
It provides practical implementation and empirical evaluation of existing approximation algorithms for the minimum 2-vertex strongly biconnected subgraph problem.
Findings
Algorithms perform well in practice
Implementation confirms theoretical efficiency
Experimental results support algorithm applicability
Abstract
Jaberi [7] presented approximation algorithms for the problem of computing a minimum size 2-vertex strongly biconnected subgraph in directed graphs. We have implemented approximation algorithms presented in [7] and we have tested the implementation on some graphs. The experimental results show that these algorithms work well in practice.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplexity and Algorithms in Graphs · Advanced Graph Theory Research · Graph Theory and Algorithms
