TY - GEN
T1 - A linear kernel for co-path/cycle packing
AU - Chen, Zhi-Zhong
AU - Fellows, Michael
AU - Fu, Bin
AU - Jiang, Haitao
AU - Liu, Yang
AU - Wang, Lusheng
AU - Zhu, Binhai
PY - 2010
Y1 - 2010
N2 - Bounded-Degree Vertex Deletion is a fundamental problem in graph theory that has new applications in computational biology. In this paper, we address a special case of Bounded-Degree Vertex Deletion, the Co-Path/Cycle Packing problem, which asks to delete as few vertices as possible such that the graph of the remaining (residual) vertices is composed of disjoint paths and simple cycles. The problem falls into the well-known class of 'node-deletion problems with hereditary properties', is hence NP-complete and unlikely to admit a polynomial time approximation algorithm with approximation factor smaller than 2. In the framework of parameterized complexity, we present a kernelization algorithm that produces a kernel with at most 37k vertices, improving on the super-linear kernel of Fellows et al.'s general theorem for Bounded- Degree Vertex Deletion. Using this kernel, and the method of bounded search trees, we devise an FPT algorithm that runs in time O* (3.24k). On the negative side, we show that the problem is APX-hard and unlikely to have a kernel smaller than 2k by a reduction from Vertex Cover. © Springer-Verlag Berlin Heidelberg 2010.
AB - Bounded-Degree Vertex Deletion is a fundamental problem in graph theory that has new applications in computational biology. In this paper, we address a special case of Bounded-Degree Vertex Deletion, the Co-Path/Cycle Packing problem, which asks to delete as few vertices as possible such that the graph of the remaining (residual) vertices is composed of disjoint paths and simple cycles. The problem falls into the well-known class of 'node-deletion problems with hereditary properties', is hence NP-complete and unlikely to admit a polynomial time approximation algorithm with approximation factor smaller than 2. In the framework of parameterized complexity, we present a kernelization algorithm that produces a kernel with at most 37k vertices, improving on the super-linear kernel of Fellows et al.'s general theorem for Bounded- Degree Vertex Deletion. Using this kernel, and the method of bounded search trees, we devise an FPT algorithm that runs in time O* (3.24k). On the negative side, we show that the problem is APX-hard and unlikely to have a kernel smaller than 2k by a reduction from Vertex Cover. © Springer-Verlag Berlin Heidelberg 2010.
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U2 - 10.1007/978-3-642-14355-7_10
DO - 10.1007/978-3-642-14355-7_10
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 3642143547
SN - 9783642143540
VL - 6124 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 90
EP - 102
BT - Algorithmic Aspects in Information and Management
PB - Springer Verlag
T2 - 6th International Conference on Algorithmic Aspects in Information and Management, AAIM 2010
Y2 - 19 July 2010 through 21 July 2010
ER -