Multidimensional bisection: The performance and the context

Zhang Baoping; G. R. Wood; W. P. Baritompa

doi:10.1007/BF01096775

Multidimensional bisection: The performance and the context

Zhang Baoping^*, G. R. Wood, W. P. Baritompa

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

Abstract

Two aspects of the multidimensional bisection algorithms for the global optimisation of Lipschitz continuous functions are investigated. Firstly, for several test functions we examine the numerical performance of the deepest point algorithm and two acceleration procedures. Secondly, we phrase the branch and bound framework of Horst and Tuy in terms of covers, and show the algorithms to be included in this framework. A result of Basso on the convergence of localisations is extended to higher dimensions.

Original language	English
Pages (from-to)	337-358
Number of pages	22
Journal	Journal of Global Optimization
Volume	3
Issue number	3
DOIs	https://doi.org/10.1007/BF01096775
Publication status	Published - Sep 1993

Keywords

Bisection
branch and bound
deterministic
global optimisation
localisation
mathematical programming
Mathematics Subject Classifications (1991): 90C30, 65K05
numerical performance
simplex

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KW - localisation

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KW - numerical performance

KW - simplex

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Multidimensional bisection: The performance and the context

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Keywords

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