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Parallel Minimax Searching Algorithm for Extremum of Unimodal Unbounded Function

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DOI: 10.4236/ijcns.2011.49066    3,620 Downloads   7,672 Views  

ABSTRACT

In this paper we consider a parallel algorithm that detects the maximizer of unimodal function f(x) computable at every point on unbounded interval (0, ∞). The algorithm consists of two modes: scanning and detecting. Search diagrams are introduced as a way to describe parallel searching algorithms on unbounded intervals. Dynamic programming equations, combined with a series of liner programming problems, describe relations between results for every pair of successive evaluations of function f in parallel. Properties of optimal search strategies are derived from these equations. The worst-case complexity analysis shows that, if the maximizer is located on a priori unknown interval (n-1], then it can be detected after cp(n)=「2logp/2」+1(n+1)」-1 parallel evaluations of f(x), where p is the number of processors.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

B. Verkhovsky, "Parallel Minimax Searching Algorithm for Extremum of Unimodal Unbounded Function," International Journal of Communications, Network and System Sciences, Vol. 4 No. 9, 2011, pp. 549-561. doi: 10.4236/ijcns.2011.49066.

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