Deeper local search for parameterized and approximation algorithms for maximum internal spanning tree
Deeper local search for parameterized and approximation algorithms for maximum internal spanning tree
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对最大内部生成树的参数化和近似算法进行更深入的局部搜索
DOI:
10.1016/j.ic.2016.11.003
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发表时间:
2017-02
影响因子:
1
通讯作者:
Wang Jianxin
中科院分区:
文献类型:
--
作者:
Li Wenjun;Cao Yixin;Chen Jianer;Wang Jianxin
The maximum internal spanning tree problem asks for a spanning tree of a given graph that has the maximum number of internal vertices among all spanning trees of this graph. In its parameterized version, we are interested in whether the graph has a spanning tree with at least k internal vertices. Fomin et al.(2013)[4] crafted a very ingenious reduction rule, and showed that a simple application of this rule is sufficient to yield a 3k-vertex kernel, implying an O⁎(8 k)-time parameterized algorithm. Using depth-2 local search, Knauer and Spoerhase (2015)[9] developed a (5/3)-approximation algorithm for the optimization version. We try deeper local search: We conduct a thorough combinatorial analysis on the obtained spanning trees and explore their algorithmic consequences. We first observe that from the spanning tree obtained by depth-3 local search, one can easily find a reducible structure and apply the reduction rule of Fomin et al. This gives an improved kernel of 2k vertices, and as a by-product, a deterministic algorithm running in time O⁎(4 k). We then go even deeper by considering the spanning tree obtained by depth-5 local search. It is shown that the number of internal vertices of this spanning tree is at least 2/3 of the maximum number a spanning tree can have, thereby delivering an improved approximation algorithm with ratio 1.5 for the problem.
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10.1016/j.tcs.2009.03.036
发表时间:
2008-01
期刊:
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影响因子:
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通讯作者:
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影响因子:
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发表时间:
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影响因子:
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通讯作者:
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