Parallel Global Optimization inMultidimensional Scaling

作者: Julius Žilinskas

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

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

参考文章(3)
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