Improvement of Nemhauser-Trotter Theorem and its applications in parametrized complexity

11Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.
Get full text

Abstract

We improve on the classical Nemhauser-Trotter Theorem, which is a key tool for the MINIMUM (WEIGHTED) VERTEX COVER problem in the design of both, approximation algorithms and exact fixedparameter algorithms. Namely, we provide in polynomial time for a graph G with vertex weights w : V -→ (0, ∞) a partition of V into three subsets V0, V1, V1/2, with no edges between V0 and V1/2 or within V0, such that the size of a minimum vertex cover for the graph induced by V1/2 is at least 1/2w(V1/2), and every minimum vertex cover C for (G,w) satisfies V1 ⊆ C ⊆ V1 UV1/2. We also demonstrate one of possible applications of this strengthening of NT-Theorem for fixed parameter tractable problems related to MIN-VC: for an integer parameter k to find all minimum vertex covers of size at most k, or to find a minimum vertex cover of size at most k under some additional constraints. © Springer-Verlag Berlin Heidelberg 2004.

Cite

CITATION STYLE

APA

Chleb́ik, M., & Chlebíková, J. (2004). Improvement of Nemhauser-Trotter Theorem and its applications in parametrized complexity. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3111, 174–186. https://doi.org/10.1007/978-3-540-27810-8_16

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free