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Some Results on Incremental Vertex Cover Problem

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Algorithmic Aspects in Information and Management (AAIM 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6124))

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Abstract

In the classical k-vertex cover problem, we wish to find a minimum weight set of vertices that covers at least k edges. In the incremental version of the k-vertex cover problem, we wish to find a sequence of vertices, such that if we choose the smallest prefix of vertices in the sequence that covers at least k edges, this solution is close in value to that of the optimal k-vertex cover solution. The maximum ratio is called competitive ratio. Previously the known upper bound of competitive ratio was 4α, where α is the approximation ratio of the k-vertex cover problem. And the known lower bound was 1.36 unless P = NP, or 2 − ε for any constant ε assuming the Unique Game Conjecture. In this paper we present some new results for this problem. Firstly we prove that, without any computational complexity assumption, the lower bound of competitive ratio of incremental vertex cover problem is φ, where \(\phi=\frac{\sqrt{5}+1}{2}\approx 1.618\) is the golden ratio. We then consider the restricted versions where k is restricted to one of two given values(Named 2-IVC problem) and one of three given values(Named 3-IVC problem). For 2-IVC problem, we give an algorithm to prove that the competitive ratio is at most φα. This incremental algorithm is also optimal for 2-IVC problem if we are permitted to use non-polynomial time. For the 3-IVC problem, we give an incremental algorithm with ratio factor \((1+\sqrt{2})\alpha\).

This work is supported in part by the NSF of China under Grant No.70901012, the Specialized Research Foundation for the Doctoral Program of Higher Education of China, Grant No. 200806141084, and Science Foundation of UESTC for Youths(JX0869).

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Dai, W. (2010). Some Results on Incremental Vertex Cover Problem. In: Chen, B. (eds) Algorithmic Aspects in Information and Management. AAIM 2010. Lecture Notes in Computer Science, vol 6124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14355-7_12

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  • DOI: https://doi.org/10.1007/978-3-642-14355-7_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14354-0

  • Online ISBN: 978-3-642-14355-7

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