Results 231 to 240 of about 395,716 (259)

Reduced Order Modelling — Methods and Constraints

2004
There is growing attention for methods to reduce the state space dimension of a model, especially in the area of circuit simulation and electromagnetics. Applying these techniques to substructures which behave linearly or weakly non-linearly can dramatically speed up the computations in simulation of complex electronic structures.
Heres, P.J., Schilders, W.H.A.
openaire   +2 more sources

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.
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Reduced-order Models for Coupled Problems

2010
info:eu-repo/semantics ...
Filomeno Coelho, Rajan, Xiao, Manyu, Breitkopf, Piotr, Knopf-Lenoir, Catherine, Villon, Pierre F., Sidorkiewicz, Maryan   +5 more
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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 Modeling

2023
Zulkeefal Dar, Joan Baiges, Ramon Codina
openaire   +1 more source

Physics-informed machine learning for reduced-order modeling of nonlinear problems

Journal of Computational Physics, 2021
Qian Wang, Chuhua Zhang, Jan Hesthaven   +2 more
exaly  

Reduced Order Modeling Methods for Aviation Noise Estimation

Sustainability, 2021
Dimitri Mavris, Ameya Behere, Tejas Puranik   +2 more
exaly  

Bayesian operator inference for data-driven reduced-order modeling

Computer Methods in Applied Mechanics and Engineering, 2022
Mengwu Guo, Shane Mcquarrie, Karen E Willcox   +2 more
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
Malte Krack, Matthew Brake, Nidish Narayanaa Balaji   +2 more
exaly