Frobenius问题的整数规划公式

Imdat Kara, H. I. Karakaş
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引用次数: 0

摘要

对于一组相对素数正整数α1,α2,…,αn,使得α1< α2<…< αn的Frobenius数是不能写成给定集合的非负整数线性组合的最大整数。寻找Frobenius数被称为Frobenius问题,它也被称为硬币交换问题或邮票问题。该问题与等式约束整数背包问题密切相关。众所周知,这个问题是np困难的。为了求出给定正整数集的弗罗贝纽斯数,人们进行了大量的研究。对于n=2的情况存在一个精确公式,对于n= 3的所有特殊情况已经导出了各种公式。对于n≥4,已经提出了许多算法。据我们所知,目前还没有任何整数规划方法来解决这个问题,这也是本文的主要动机。给出了关于给定正整数集的Frobenius数的四个整数线性规划公式。我们的第一个公式是用来检验一个给定的正整数是否是一组给定正整数的弗罗贝纽斯数。第二个公式旨在直接求出弗罗本纽斯数。第三个公式涉及到给定正整数集合的最小成员的残数类,其中计算了一个残数表,其中包含了对最小成员取模的所有值,并由此得到了Frobenius数。基于第三种公式的相同方法,我们提出了直接产生弗罗贝纽斯数的第四种公式。我们通过几个例子来演示如何使用我们的公式。为了便于说明,还给出了一些计算分析。
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Integer Programming Formulations For The Frobenius Problem
The Frobenius number of a set of relatively prime positive integers α1,α2,…,αn such that α1< α2< …< αn, is the largest integer that can not be written as a nonnegative integer linear combination of the given set. Finding the Frobenius number is known as the Frobenius problem, which is also named as the coin exchange problem or the postage stamp problem. This problem is closely related with the equality constrained integer knapsack problem. It is known that this problem is NP-hard. Extensive research has been conducted for finding the Frobenius number of a given set of positive integers. An exact formula exists for the case n=2 and various formulas have been derived for all special cases of n = 3. Many algorithms have been proposed for n≥4. As far as we are aware, there does not exist any integer programming approach for this problem which is the main motivation of this paper. We present four integer linear programming formulations about the Frobenius number of a given set of positive integers. Our first formulation is used to check if a given positive integer is the Frobenius number of a given set of positive integers. The second formulation aims at finding the Frobenius number directly. The third formulation involves the residue classes with respect to the least member of the given set of positive integers, where a residue table is computed comprising all values modulo that least member, and the Frobenius number is obtained from there. Based on the same approach underlying the third formulation, we propose our fourth formulation which produces the Frobenius number directly. We demonstrate how to use our formulations with several examples. For illustrative purposes, some computa-tional analysis is also presented.
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