Žilinskas, Julius Parallel global optimization in multidimensional scaling. (English) Zbl 1156.65310 Čiegis, Raimondas (ed.) et al., Parallel scientific computing and optimization. Advances and applications. New York, NY: Springer (ISBN 978-0-387-09706-0/hbk). Springer Optimization and Its Applications 27, 69-82 (2009). Summary: 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.For the entire collection see [Zbl 1151.65001]. MSC: 65K05 Numerical mathematical programming methods 65Y05 Parallel numerical computation 90C30 Nonlinear programming 90C06 Large-scale problems in mathematical programming PDF BibTeX XML Cite \textit{J. Žilinskas}, Springer Optim. Appl. 27, 69--82 (2009; Zbl 1156.65310) Full Text: DOI