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Reduced-Order Models

2017
Tomomichi Sugihara, Katsu Yamane
openaire   +1 more source

Bayesian operator inference for data-driven reduced-order modeling

Computer Methods in Applied Mechanics and Engineering, 2022
Mengwu Guo, Karen E Willcox
exaly  

REDUCED ORDER MODELİNG OF BRUSSELATOR MODEL

International Conference on Modern Problems of Mathematics, Mechanics and their Applications
Abstract. We investigate reduced order model results for the linear cross-diffusion Brusselator model. The full-order system of the Brusselator model is calculated by applying the discontinuous Galerkin method in spatial discretization and the backward Euler method in temporal discretization.
openaire   +1 more source

Reduced order modeling for the dynamics of jointed structures through hyper-reduced interface representation

Mechanical Systems and Signal Processing, 2021
Nidish Narayanaa Balaji   +2 more
exaly  

A Comprehensive Deep Learning-Based Approach to Reduced Order Modeling of Nonlinear Time-Dependent Parametrized PDEs

Journal of Scientific Computing, 2021
Stefania Fresca   +2 more
exaly  

POD and CVT-based reduced-order modeling of Navier–Stokes flows

Computer Methods in Applied Mechanics and Engineering, 2006
John Burkardt   +2 more
exaly  

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