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arXiv:2611.15780 · v1

Multiple-Choice Knapsack with Small Items

首次提交 2026-11-12 01:55
版本更新 2026-11-12 01:55
雷达观测 2026-11-13 14:16
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摘要

The Multiple-Choice Knapsack problem is a generalization of the Knapsack problem in which items are partitioned into disjoint classes and exactly one item must be selected from each class. Besides the standard dynamic program running in time O(nc)\mathcal{O}(nc), where nn is the total number of items and cc is the knapsack capacity, no other pseudopolynomial-time algorithm is currently known. We present an O(n+wmax⁡4)\mathcal{O}(n+w_{\max}^4)-time algorithm, where wmax⁡=max⁡i(wini−wi1)w_{\max}=\max_i (w_{in_i}-w_{i1}) is the maximum weight range within a class.

期刊信息:LIPIcs.ESA.2026, 29:1-29:12

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v1 · 2026-11-12 01:55 · 最新观测版本

Multiple-Choice Knapsack with Small Items

The Multiple-Choice Knapsack problem is a generalization of the Knapsack problem in which items are partitioned into disjoint classes and exactly one item must be selected from each class. Besides the standard dynamic program running in time O(nc)\mathcal{O}(nc), where nn is the total number of items and cc is the knapsack capacity, no other pseudopolynomial-time algorithm is currently known. We present an O(n+wmax⁡4)\mathcal{O}(n+w_{\max}^4)-time algorithm, where wmax⁡=max⁡i(wini−wi1)w_{\max}=\max_i (w_{in_i}-w_{i1}) is the maximum weight range within a class.

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