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  • 标题:Approximation Schemes for 0-1 Knapsack
  • 本地全文:下载
  • 作者:Timothy M. Chan
  • 期刊名称:OASIcs : OpenAccess Series in Informatics
  • 电子版ISSN:2190-6807
  • 出版年度:2018
  • 卷号:61
  • 页码:5:1-5:12
  • DOI:10.4230/OASIcs.SOSA.2018.5
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We revisit the standard 0-1 knapsack problem. The latest polynomial-time approximation scheme by Rhee (2015) with approximation factor 1+eps has running time near O(n+(1/eps)^{5/2}) (ignoring polylogarithmic factors), and is randomized. We present a simpler algorithm which achieves the same result and is deterministic. With more effort, our ideas can actually lead to an improved time bound near O(n + (1/eps)^{12/5}), and still further improvements for small n.
  • 关键词:knapsack problem; approximation algorithms; optimization; (min;+)-convolution
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