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    郭禾

    • 教授     博士生导师 硕士生导师
    • 性别:男
    • 毕业院校:大连理工大学
    • 学位:硕士
    • 所在单位:软件学院、国际信息与软件学院
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    Online removable knapsack problem under convex function

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      发布时间:2019-03-09

      论文类型:期刊论文

      发表时间:2014-06-26

      发表刊物:THEORETICAL COMPUTER SCIENCE

      收录刊物:Scopus、EI、SCIE

      卷号:540

      期号:,SI

      页面范围:62-69

      ISSN号:0304-3975

      关键字:Knapsack problems; Online algorithms; Competitive ratio

      摘要:In this paper, we address an online knapsack problem under a convex size profit function. We first give a greedy online algorithm with a competitive ratio 2. Then we propose an improved online algorithm with a competitive ratio 5/3. We also prove that when the convex function has a specific property, our improved online algorithm is (1 + root 5)/2-competitive, which is optimal. Finally, we prove that the lower bound of this problem is (1 + root 5)/2. (C) 2013 Elsevier B.V. All rights reserved.