Constancy maximization based weight optimization in high dimensional model representation

DOI10.1007/s11075-009-9291-2zbMath1178.65014OpenAlexW2076265216MaRDI QIDQ1039282

Metin Demiralp, Burcu Tunga

Publication date: 27 November 2009

Published in: Numerical Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11075-009-9291-2

zbMATH Keywords

numerical examplesmultivariate functionshigh dimensional model representationweight optimizationconstancy maximization

Mathematics Subject Classification ID

Algorithms for approximation of functions (65D15)

Related Items

Weight optimization in HDMR with perturbation expansion method ⋮ A fluctuation removal based univariate integration over prescribed nodes: certain important aspects of one node fluctuation free integration ⋮ A fluctuation removal based univariate integration over prescribed nodes. One node fluctuation free integration under higher order set of conditions with an extension to multinode case ⋮ An approximation method to model multivariate interpolation problems: indexing HDMR ⋮ Multivariate data modelling through piecewise generalized HDMR method ⋮ Constancy maximization based weight optimization in high dimensional model representation for multivariate functions ⋮ Fluctuation free multivariate integration based logarithmic HDMR in multivariate function representation

Uses Software

• MuPAD

Cites Work

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