LOCALIZED APPROXIMATIONS BY POLYNOMIAL CHAOS EXPANSIONS FOR HIGHLY NON-LINEAR FUNCTIONS

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F23%3APU150152" target="_blank" >RIV/00216305:26110/23:PU150152 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
LOCALIZED APPROXIMATIONS BY POLYNOMIAL CHAOS EXPANSIONS FOR HIGHLY NON-LINEAR FUNCTIONS
Original language description
The paper presents a strategy for adaptive sequential decomposition of the design domain and for localized surrogate modeling via polynomial chaos expansion. The proposed method combines adaptivity of localized surrogate modeling and sequential sampling. The iteration process of the decomposition and sequential sampling balances between exploitation of the surrogate model and exploration of the design domain. The proposed methodology is especially beneficial for highly non-linear functions, which are extremely challenging for and approximation by polynomial chaos expansion. The obtained numerical results confirm its superiority over a single global surrogate model and a recently proposed technique based on similar concepts.
Czech name
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Czech description
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Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20102 - Construction engineering, Municipal and structural engineering

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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