On the Complexity of Variations of Equal Sum Subsets

Mark Cieliebak, S. Eidenbenz, Aris Pagourtzis, Konrad Schlude
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引用次数: 29

Abstract

The EQUAL SUM SUBSETS problem, where we are given a set of positive integers and we ask for two nonempty disjoint subsets such that their elements add up to the same total, is known to be NP-hard. In this paper we give (pseudo-)polynomial algorithms and/or (strong) NP-hardness proofs for several natural variations of EQUAL SUM SUBSETS. Among others we present (i) a framework for obtaining NP-hardness proofs and pseudopolynomial time algorithms for EQUAL SUM SUBSETS variations, which we apply to variants of the problem with additional selection restrictions, (ii) a proof of NP-hardness and a pseudo-polynomial time algorithm for the case where we ask for two subsets such that the ratio of their sums is some fixed rational r > 0, (iii) a pseudo-polynomial time algorithm for finding k subsets of equal sum, with k = O(1), and a proof of strong NP-hardness for the same problem with k = Ω(n), (iv) algorithms and hardness results for finding k equal sum subsets under the additional requirement that the subsets should be of equal cardinality. Our results are a step towards determining the dividing lines between polynomial time solvability, pseudo-polynomial time solvability, and strong NP-completeness of subset-sum related problems.
等和子集变分的复杂性
在EQUAL SUM SUBSETS问题中,我们给定一组正整数,并要求两个非空不相交的子集,使它们的元素加起来等于相同的总和,这是已知的NP-hard问题。本文给出了等和子集的几种自然变分的(伪)多项式算法和/或(强)np -硬度证明。等我们提出(i)的框架获得np困难的证明和pseudopolynomial总和相等时间算法子集变化,我们额外的选择适用于不同的问题限制,(2)一个np困难的证明和pseudo-polynomial时间算法的情况下我们要求两个子集,这样他们的资金是一些固定的比例合理r > 0, (iii) pseudo-polynomial时间算法寻找k总和相等的子集,与k = O (1),以及对于k = Ω的相同问题的强np -硬度的证明(n), (iv)算法和在子集必须具有相等基数的附加要求下寻找k等和子集的硬度结果。我们的结果朝着确定子集和相关问题的多项式时间可解性、伪多项式时间可解性和强np完备性之间的分界线迈出了一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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