Weight optimization in HDMR with perturbation expansion method

DOI10.1007/s10910-015-0537-zzbMath1329.41044OpenAlexW1153667845MaRDI QIDQ893003

Burcu Tunga, Metin Demiralp

Publication date: 13 November 2015

Published in: Journal of Mathematical Chemistry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10910-015-0537-z

zbMATH Keywords

optimizationapproximationperturbation expansionmultivariate functionshigh dimensional model representation

Mathematics Subject Classification ID

Multidimensional problems (41A63) Approximate quadratures (41A55)

Uses Software

• MuPAD
• GUI-HDMR

Cites Work

• Constancy maximization based weight optimization in high dimensional model representation for multivariate functions
• Hybrid high dimensional model representation for reliability analysis
• Constancy maximization based weight optimization in high dimensional model representation
• Perturbation methods in applied mathematics
• General foundations of high-dimensional model representations
• Hybrid high dimensional model representation (HHDMR) on the partitioned data
• Probabilistic Analysis Using High Dimensional Model Representation and Fast Fourier Transform
• Efficient implementation of high dimensional model representations
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