Multifidelity Modeling Using Nondeterministic Localized Galerkin Approach

Autor:	Daniel L. Clark, Joshua D. Deaton, Ha-Rok Bae, Edwin E. Forster, Atticus J. Beachy
Rok vydání:	2020
Předmět:	Nondeterministic algorithm Surrogate model Computer science Aerospace Engineering Probability distribution Applied mathematics Galerkin method Finite element method Sequential quadratic programming
Zdroj:	AIAA Journal. 58:2246-2260
ISSN:	1533-385X 0001-1452
DOI:	10.2514/1.j058410
Popis:	In this paper, multifidelity modeling using the new nondeterministic localized Galerkin approach is introduced to address the practical challenges associated with 1) multiple low-fidelity models, 2...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d1ec3286be19943e486e0946b74191c3 https://doi.org/10.2514/1.j058410 Zobrazit plný text záznamu