Results 251 to 260 of about 4,522,001 (282)

Reduced-Order Models for Nonlinear Unsteady Aerodynamics

AIAA Journal, 2000
Two reduced-order modeling approaches for the evaluation of nonlinear aerodynamic forces based on CFD computations are presented. These reducedorder models (ROMs) provide a means for rapid calculation of frequency-domain generalized aerodynamic forces, which can be used in traditional flutter analysis scheme, to calculate flutter characteristics about ...
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Reduced-Order Modelling of Dispersion

2008
We present low complexity models for the transport of passive scalars for environmental applications. Multi-level analysis has been used with a reduction in dimension of the solution space at each level. Similitude solutions are used in a non-symmetric metric for the transport over long distances.
Jean-Marc Brun, Bijan Mohammadi
openaire   +1 more source

Inverse Reduced-Order Modeling

2015
We propose a general probabilistic formulation of reduced-order modeling in the case the system state is hidden and characterized by some uncertainty. The objective is to integrate noisy and incomplete observations in the process of building a reduced-order model. We call this problematic inverse reduced-order modeling.
Héas, Patrick, Herzet, Cédric
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Reduced Order Models for Eigenvalue Problems

2006
Two main approaches are known for the reduced order modelling of linear time-invariant systems: Krylov subspace based and SVD based approximation methods. Krylov subspace based methods have large scale applicability, but do not have a global error bound.
openaire   +2 more sources

Reduced order and surrogate models for gravitational waves

Living Reviews in Relativity, 2022
Manuel Tiglio, Aaron Villanueva
exaly  

POD-DL-ROM: Enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition

Computer Methods in Applied Mechanics and Engineering, 2022
Stefania Fresca, Andrea Manzoni
exaly  

Reduced-Order Models

2017
Tomomichi Sugihara, Katsu Yamane
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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.
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A novel reduced-order algorithm for rational models based on Arnoldi process and Krylov subspace

Automatica, 2021
Jing Chen, Biao Huang, Min Gan
exaly  

Data‐driven physics‐based digital twins via a library of component‐based reduced‐order models

International Journal for Numerical Methods in Engineering, 2022
Michael G Kapteyn
exaly