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An Improved Approximation Algorithm for the Minimum Common Integer Partition Problem

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8889))

Abstract

Given a collection of multisets \(\{X_1, X_2, \ldots , X_k\}\) (\(k \ge 2\)) of positive integers, a multiset \(S\) is a common integer partition for them if \(S\) is an integer partition of every multiset \(X_i, 1 \le i \le k\). The minimum common integer partition (\(k\)-MCIP) problem is defined as to find a CIP for \(\{X_1, X_2, \ldots , X_k\}\) with the minimum cardinality. We present a \(\frac{6}{5}\)-approximation algorithm for the \(2\)-MCIP problem, improving the previous best algorithm of ratio \(\frac{5}{4}\) designed in 2006. We then extend it to obtain an absolute \(0.6k\)-approximation algorithm for \(k\)-MCIP when \(k\) is even (when \(k\) is odd, the approximation ratio is \(0.6k+0.4\)).

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Correspondence to Guohui Lin .

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Tong, W., Lin, G. (2014). An Improved Approximation Algorithm for the Minimum Common Integer Partition Problem. In: Ahn, HK., Shin, CS. (eds) Algorithms and Computation. ISAAC 2014. Lecture Notes in Computer Science(), vol 8889. Springer, Cham. https://doi.org/10.1007/978-3-319-13075-0_28

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  • DOI: https://doi.org/10.1007/978-3-319-13075-0_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13074-3

  • Online ISBN: 978-3-319-13075-0

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