A volume first maxima-finding algorithm

  • Authors:
  • Xiangquan Gui;Xiaohong Hao;Yuanping Zhang;Xuerong Yong

  • Affiliations:
  • College of Computer and Communication, Lanzhou University of Technology, Lanzhou, 730050, PR China and College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, ...;College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, PR China;College of Computer and Educational Software, Guangzhou University, Guangzhou, 510006, PR China;Department of Mathematical Sciences, University of Puerto Rico at Mayaguez, P.O. Box 9018, PR 00681, USA

  • Venue:
  • Theoretical Computer Science
  • Year:
  • 2011

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Abstract

The maxima-finding is a fundamental problem in computational geometry with many applications. In this paper, a volume first maxima-finding algorithm is proposed. It is proved that the expected running time of the algorithm is N+o(N) when choosing points from CI distribution, which is a new theoretical result when the points belong to d(2) dimensional space. Experimental results and theoretical analysis indicate that the algorithm runs faster than the Move-To-Front maxima-finding algorithm.