Numerical methods for continuous global optimization are investigated in this contribution. They are based on the dimensionality reduction approach consisting in the extension of one-dimensional methods to the multidimensional case, as, for example, in the nested optimization scheme.
Local Information in Global Optimization with Dimensionality Reduction Schemes
Kvasov D
;
2025-01-01
Abstract
Numerical methods for continuous global optimization are investigated in this contribution. They are based on the dimensionality reduction approach consisting in the extension of one-dimensional methods to the multidimensional case, as, for example, in the nested optimization scheme.File in questo prodotto:
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