2009•Unpublished venueRequires access

Parameterized VERTEX COVER in Graphs of Small Degree

Peter J. Taillon

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Abstract

We describe a new approach to improve algorithms for solving the k-VERTEX COVER problem, that complements the state-of-the-art kernelization techniques based on solving maximum-flow instances. Our algorithm applies to graphs of small bounded degree, adapts existing k-vertex cover machinery, and incurs no additional complexity. We also investigate the applicability of our new algorithm to solving the Maximum Independent Set problem in graphs of small bounded degree.

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What this paper is about

We describe a new approach to improve algorithms for solving the k-VERTEX COVER problem, that complements the state-of-the-art kernelization techniques based on solving maximum-flow instances. Our algorithm applies to graphs of small bounded degree, adapts existing k-vertex cover machinery, and incurs no additional complexity. We also investigate the applicability of our new algorithm to solving the Maximum Independent Set problem in graphs of small bounded degree.

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Available abstract

We describe a new approach to improve algorithms for solving the k-VERTEX COVER problem, that complements the state-of-the-art kernelization techniques based on solving maximum-flow instances. Our algorithm applies to graphs of small bounded degree, adapts existing k-vertex cover machinery, and incurs no additional complexity. We also investigate the applicability of our new algorithm to solving the Maximum Independent Set problem in graphs of small bounded degree.

Key concepts: Vertex cover, Kernelization, Parameterized complexity, Bounded function, Degree (music), Edge cover, Vertex (graph theory), Feedback vertex set

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