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Algorithm for K Disjoint Maximum Subarrays

  • Sung Eun Bae
  • Tadao Takaoka
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3991)

Abstract

The maximum subarray problem is to find the array portion that maximizes the sum of array elements in it. For K disjoint maximum subarrays, Ruzzo and Tompa gave an O(n) time solution for one-dimension. This solution is, however, difficult to extend to two-dimensions. While a trivial solution of O(Kn 3) time is easily obtainable for two-dimensions, little study has been undertaken to better this. We first propose an O(n+Klog K) time solution for one-dimension. This is equivalent to Ruzzo and Tompa’s when order is considered. Based on this, we achieve O(n 3+Kn 2log n) time for two-dimensions. This is cubic time when Kn/log n.

Keywords

Trivial Solution Time Solution Array Element Input Array Small Physical Size 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Sung Eun Bae
    • 1
  • Tadao Takaoka
    • 1
  1. 1.Department of Computer Science and Software EngineeringUniversity of CanterburyChristchurchNew Zealand

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