A probabilistic algorithm for vertex cover

D. Berend, S. Mamana

Research output: Contribution to journalArticlepeer-review

Abstract

The Minimum Vertex CoverProblem is the optimization problem of finding a vertex cover Vc of minimal cardinality in a given graph. It is a classic NP-hard problem, and various algorithms have been suggested for it. In this paper, we start with a basic algorithm for solving the problem. Using a probabilistic idea, we use it to develop an improved algorithm. The algorithm is greedy; at each step it adds to the cover a vertex such that the expected cover size, if we continue randomly after this step, is minimal. We study the new algorithm theoretically and empirically, and run simulations to compare its performance to that of some algorithms of a similar nature.

Original languageEnglish
Article number114306
JournalTheoretical Computer Science
Volume983
DOIs
StatePublished - 1 Feb 2024

Keywords

  • Algorithm
  • Derandomization
  • Random graph
  • Vertex cover

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'A probabilistic algorithm for vertex cover'. Together they form a unique fingerprint.

Cite this