research
∙
11/23/2022
A Two-Level Galerkin Reduced Order Model for the Steady Navier-Stokes Equations
We propose, analyze, and investigate numerically a novel two-level Galer...
share
research
∙
09/06/2022
Stochastic Data-Driven Variational Multiscale Reduced Order Models
Trajectory-wise data-driven reduced order models (ROMs) tend to be sensi...
research
∙
02/28/2022
Reduced Order Model Closures: A Brief Tutorial
In this paper, we present a brief tutorial on reduced order model (ROM) ...
research
∙
12/27/2021
Shock trace prediction by reduced models for a viscous stochastic Burgers equation
Viscous shocks are a particular type of extreme events in nonlinear mult...
research
∙
12/09/2021
Conditional Gaussian Nonlinear System: a Fast Preconditioner and a Cheap Surrogate Model For Complex Nonlinear Systems
Developing suitable approximate models for analyzing and simulating comp...
research
∙
09/30/2021
Least-Squares Finite Element Method for Ordinary Differential Equations
We consider the least-squares finite element method (lsfem) for systems ...
research
∙
08/11/2021
Verifiability of the Data-Driven Variational Multiscale Reduced Order Model
In this paper, we focus on the mathematical foundations of reduced order...
research
∙
08/14/2019
