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Abstract Convexity, Global Optimization and Data Classification

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Abstract

This survey paper consisits of three parts: first of them contains some definitions, results and examples from abstract convexity. Applications of abstract convexity to numerical methods of global optimization are discussed in the second part. Applications of these methods to data classification is the subject of the third part.

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Authors and Affiliations

  1. School of Information Technology and Mathematical Sciences, University of Ballarat, Victoria, 3353, Australia

    A. M. Rubinov

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  1. A. M. Rubinov
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Rubinov, A.M. Abstract Convexity, Global Optimization and Data Classification. OPSEARCH 38, 247–265 (2001). https://doi.org/10.1007/BF03398635

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  • DOI: https://doi.org/10.1007/BF03398635

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