Numerical Analysis for Data-Driven Reduced Order Model Closures

Numerical Analysis for Data-Driven Reduced Order Model Closures

This dissertation contains work that addresses both theoretical and numerical aspects of reduced order models (ROMs). In an under-resolved regime, the classical Galerkin reduced order model (G-ROM) fails to yield accurate approximations. Thus, we propose a new ROM, the data-driven variational multi...

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Bibliographic Details
Main Author: Koc, Birgul
Other Authors: Mathematics
Format: Others
Language:en
Published: Virginia Tech 2021
Subjects:
Reduced Order Model
Proper Orthogonal Decomposition
Spatial Filter
Variational Multiscale
Data-Driven Model
Numerical Analysis
Long-Time Behavior
Online Access:http://hdl.handle.net/10919/103202

Internet

http://hdl.handle.net/10919/103202

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