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  • 标题:Sorting with Recurrent Comparison Errors
  • 本地全文:下载
  • 作者:Barbara Geissmann ; Stefano Leucci ; Chih-Hung Liu
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2017
  • 卷号:92
  • 页码:38:1-38:12
  • DOI:10.4230/LIPIcs.ISAAC.2017.38
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We present a sorting algorithm for the case of recurrent random comparison errors. The algorithm essentially achieves simultaneously good properties of previous algorithms for sorting n distinct elements in this model. In particular, it runs in O(n^2) time, the maximum dislocation of the elements in the output is O(log n), while the total dislocation is O(n). These guarantees are the best possible since we prove that even randomized algorithms cannot achieve o(log n) maximum dislocation with high probability, or o(n) total dislocation in expectation, regardless of their running time.
  • 关键词:sorting; recurrent comparison error; maximum and total dislocation
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