Efficient algorithms for the inverse sorting problem with bound constraints under the l∞-norm and the Hamming distance

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In this paper, we study the inverse sorting problem with bound constraints under the l∞-norm and the Hamming distance. For the problem under the l∞-norm, an O(nlogn)-time algorithm is presented. For the problem under the Hamming distance, we first show that it has an Ω(nlogn)-time lower bound in the comparison model; and then, we present an O(nlogn)-time algorithm. Both of the presented algorithms improve the previous upper bounds from O(n2).

论文关键词:Algorithms,Inverse optimization,Sorting,Isotonic regression,lp-norm,Hamming distance,Lower bounds

论文评审过程:Received 11 June 2007, Revised 7 April 2009, Available online 13 May 2009.

论文官网地址:https://doi.org/10.1016/j.jcss.2009.04.005