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Theoretical Computer Science 411, 7-9 (2010) 1045-1053
Iterative Compression and Exact Algorithms
Fedor V. Fomin 1, Serge Gaspers 2, Dieter Kratsch 3, Mathieu Liedloff 4, Saket Saurabh 5
(2010-02-28)

Iterative Compression has recently led to a number of breakthroughs in parameterized complexity. Here, we show that the technique can also be useful in the design of exact exponential time algorithms to solve NP-hard problems. We exemplify our findings with algorithms for the Maximum Independent Set problem, a parameterized and a counting version of d-Hitting Set and the Maximum Induced Cluster Subgraph problem.
1:  Department of Informatics
University of Bergen
2:  Centre de Modélisation Mathématique / Centro de Modelamiento Matemático (CMM)
CNRS : UMR2071
3:  Laboratoire d'Informatique Théorique et Appliquée (LITA)
Université Paul Verlaine - Metz
4:  Laboratoire d'Informatique Fondamentale d'Orléans (LIFO)
Université d'Orléans : EA4022 – Ecole Nationale Supérieure d'Ingénieurs de Bourges
5:  Institute of Mathematical Sciences [India] (IMSc)
Institute of Mathematical Sciences
Computer Science/Data Structures and Algorithms

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