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      Optimum Partition Parameter of Divide-and-Conquer Algorithm for Solving Closest-Pair Problem

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          Abstract

          Divide and Conquer is a well known algorithmic procedure for solving many kinds of problem. In this procedure, the problem is partitioned into two parts until the problem is trivially solvable. Finding the distance of the closest pair is an interesting topic in computer science. With divide and conquer algorithm we can solve closest pair problem. Here also the problem is partitioned into two parts until the problem is trivially solvable. But it is theoretically and practically observed that sometimes partitioning the problem space into more than two parts can give better performances. In this paper, a new proposal is given that dividing the problem space into (n) number of parts can give better result while divide and conquer algorithm is used for solving the closest pair of point's problem.

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          Most cited references6

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          A Reliable Randomized Algorithm for the Closest-Pair Problem

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            The Analysis of Heapsort

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              Worst-case analysis of a generalized heapsort algorithm

              A. Paulik (1990)
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                Author and article information

                Journal
                10 November 2011
                Article
                10.5121/ijcsit.2011.3519
                1111.2422
                ad11afa1-0e3b-4e07-ae05-629fcd5404b7

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                International Journal of Computer Science & Information Technology (IJCSIT) Vol 3, No 5, 2011, 211-219
                arXiv admin note: substantial text overlap with arXiv:1010.5908
                cs.CG

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