A non‐Gaussian Bayesian filter for sequential data assimilation with non‐intrusive polynomial chaos expansion

Autor:	Deepak N. Subramani, Srikanth Avasarala
Rok vydání:	2021
Předmět:	Numerical Analysis Polynomial chaos Dynamical systems theory Applied Mathematics Gaussian General Engineering Assimilation (biology) symbols.namesake Data assimilation Population model Fluid dynamics symbols Applied mathematics Uncertainty quantification Mathematics
Zdroj:	International Journal for Numerical Methods in Engineering. 122:7156-7181
ISSN:	1097-0207 0029-5981
DOI:	10.1002/nme.6827
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9e54605170ff5a293fcbda21c945979a https://doi.org/10.1002/nme.6827 Zobrazit plný text záznamu Plný text