Title
Greedy Localization, Iterative Compression, Modeled Crown Reductions: New FPT Techniques, an Improved Algorithm for Set Splitting, and a Novel 2k Kernelization for Vertex Cover
Abstract
The two objectives of this paper are: (1) to articulate three new general techniques for designing FPT algorithms, and (2) to apply these to obtain new FPT algorithms for SET SPLITTING and VERTEX COVER. In the case of SET SPLITTING, we improve the best previous O*(72(k)) FPT algorithm due to Dehne, Fellows and Rosamond [DFR03], to O*(8(k)) by an approach based on greedy localization in conjunction with modeled crown reduction. In the case of VERTEX COVER, we describe a new approach to 2k kernelization based on iterative compression and crown reduction, providing a potentially useful alternative to the Nemhauser-Totter 2k kernelization.
Year
DOI
Venue
2004
10.1007/978-3-540-28639-4_24
LECTURE NOTES IN COMPUTER SCIENCE
Keywords
DocType
Volume
vertex cover
Conference
3162
ISSN
Citations 
PageRank 
0302-9743
28
1.55
References 
Authors
14
4
Name
Order
Citations
PageRank
Frank Dehne151843.70
Michael R. Fellows24138319.37
Frances A. Rosamond330415.94
Peter Shaw4926.34