1. APPROXIMATION AND KERNELIZATION FOR CHORDAL VERTEX DELETION.
- Author
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JANSEN, BART M. P. and PILIPCZUK, MARCIN
- Subjects
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APPROXIMATION algorithms , *VERTEX detectors , *RANDOM variables , *CONVEX domains , *PATHS & cycles in graph theory - Abstract
The Chordal Vertex Deletion (CHVD) problem asks to delete a minimum number of vertices from an input graph to obtain a chordal graph. In this paper we develop a polynomial kernel for CHVD under the parameterization by the solution size. Using a new Erdõs-Pósa-type packing/covering duality for holes in nearly chordal graphs, we present a polynomial-time algorithm that reduces any instance (G, k) of CHVD to an equivalent instance with poly(k) vertices. The existence of a polynomial kernel answers an open problem posed by Marx in 2006 [D. Marx, "Chordal Deletion Is Fixed-Parameter Tractable," in Graph-Theoretic Concepts in Computer Science, Lecture Notes in Comput. Sci. 4271, Springer, 2006, pp. 37-48]. To obtain the kernelization, we develop the first poly(opt)-approximation algorithm for CHVD, which is of independent interest. In polynomial time, it either decides that G has no chordal deletion set of size k, or outputs a solution of size O(k4log² k). [ABSTRACT FROM AUTHOR]
- Published
- 2018
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