PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A Probabilistic Approach to Problems Parameterized Above or Below Tight Bounds
Gregory Gutin, Eun Jung Kim, Stefan Szeider and Anders Yeo
In: IWPEC 2010, Denmark(2010).

Abstract

We introduce a new approach for establishing fixed-parameter tractability of problems parameterized above tight lower bounds or below tight upper bounds. To illustrate the approach we consider two problems of this type of unknown complexity that were introduced by Mahajan, Raman and Sikdar (J. Comput. Syst. Sci. 75, 2009). We show that a generalization of one of the problems and three nontrivial special cases of the other problem admit kernels of quadratic size.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:6575
Deposited By:Gregory Gutin
Deposited On:08 March 2010