Bayesian methods for non-intrusive reduced order modeling

Mengwu Guo; Jan S. Hesthaven; Mariella Kast; Shane A. McQuarrie; Karen E. Willcox

Bayesian methods for non-intrusive reduced order modeling

Mengwu Guo^*, Jan S. Hesthaven, Mariella Kast, Shane A. McQuarrie, Karen E. Willcox

^*Corresponding author for this work

Applied Analysis

Research output: Contribution to conference › Abstract › Academic

Original language	English
Publication status	Published - 2021
Event	Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering and Technology, MMLDT-CSET 2021 - San Diego, United States Duration: 26 Sept 2021 → 29 Sept 2021

Conference

Conference	Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering and Technology, MMLDT-CSET 2021
Country/Territory	United States
City	San Diego
Period	26/09/21 → 29/09/21

Cite this

@conference{3b493809819348c8a6b8df465018f831,

title = "Bayesian methods for non-intrusive reduced order modeling",

author = "Mengwu Guo and Hesthaven, {Jan S.} and Mariella Kast and McQuarrie, {Shane A.} and Willcox, {Karen E.}",

year = "2021",

language = "English",

note = "Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering and Technology, MMLDT-CSET 2021 ; Conference date: 26-09-2021 Through 29-09-2021",

}

TY - CONF

T1 - Bayesian methods for non-intrusive reduced order modeling

AU - Guo, Mengwu

AU - Hesthaven, Jan S.

AU - Kast, Mariella

AU - McQuarrie, Shane A.

AU - Willcox, Karen E.

PY - 2021

Y1 - 2021

M3 - Abstract

T2 - Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering and Technology, MMLDT-CSET 2021

Y2 - 26 September 2021 through 29 September 2021

ER -