Parallel Global Optimization in Multidimensional Scaling

Julius Žilinskas ()
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Julius Žilinskas: Institute of Mathematics and Informatics

A chapter in Parallel Scientific Computing and Optimization, 2009, pp 69-82 from Springer

Abstract: Abstract Multidimensional scaling is a technique for exploratory analysis of multidimensional data, whose essential part is optimization of a function possessing many adverse properties including multidimensionality, multimodality, and non-differentiability. In this chapter, global optimization algorithms for multidimensional scaling are reviewed with particular emphasis on parallel computing.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-0-387-09707-7_6

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DOI: 10.1007/978-0-387-09707-7_6

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