ISCAS OpenIR  > 基础软件与系统重点实验室
unbalanced graph partitioning
Li Angsheng; Zhang Peng
2010
Conference Name21st Annual International Symposium on Algorithms and Computations, ISAAC 2010
SourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages218-229
Conference Date40878
Conference PlaceJeju Island, Korea, Republic of
Indexed TypeEI
Publish PlaceGermany
ISSN3029743
ISBN3642175163
Department(1) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (2) School of Computer Science and Technology, Shandong University, Jinan 250101, China
English AbstractWe investigate the unbalanced cut problems. A cut (A, B) is called unbalanced if the size of its smaller side is at most k (called k-size) or exactly k (called Ek-size), where k is an input parameter. An s-t cut (A, B) is called unbalanced if its s-side is of k-size or Ek-size. We consider three types of unbalanced cut problems, in which the quality of a cut is measured with respect to the capacity, the sparsity, and the conductance, respectively. We show that even if the input graph is restricted to be a tree, the Ek-Sparsest Cut problem (to find an Ek-size cut with the minimum sparsity) is still NP-hard. We give a bicriteria approximation algorithm for the k-Sparsest Cut problem (to find a k-size cut with the minimum sparsity), which outputs a cut whose sparsity is at most O(logn) times the optimum and whose smaller side has size at most O(logn)k. As a consequence, this leads to a (O(logn), O(logn))- approximation algorithm for the Min k-Conductance problem (to find a k-size cut with the minimum conductance). We also prove that the Min k-Size s-t Cut problem is NP-hard and give an O(logn)-approximation algorithm for it. © 2010 Springer-Verlag.
KeywordComputational Complexity Trees (Mathematics)
SponsorshipSpec. Interest Group Theor. Comput. Sc. (SIGTCS); Korean Inst. Inf. Sci. Eng. (KIISE)
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/8958
Collection基础软件与系统重点实验室
Recommended Citation
GB/T 7714
Li Angsheng,Zhang Peng. unbalanced graph partitioning[C]. Germany,2010:218-229.
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