pyNIROM—A suite of python modules for non-intrusive reduced order modeling of time-dependent problems

Author:

Dutta SouravORCID,Rivera-Casillas PeterORCID,Cecil Orie M.ORCID,Farthing Matthew W.ORCID

Publisher

Elsevier BV

Reference24 articles.

1. Approximation of Large-Scale Dynamical Systems;Antoulas,2005

2. Model order reduction in fluid dynamics: challenges and perspectives;Lassila,2014

3. A survey of projection-based model reduction methods for parametric dynamical systems;Benner;SIAM Rev.,2015

4. Modal analysis of fluid flows: An overview;Taira;AIAA J.,2017

5. Nonintrusive reduced-order modeling of parametrized time-dependent partial differential equations;Audouze;Numer. Methods Partial Differ. Equation,2013

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1. Inverse Airfoil Design for Hydrokinetic Turbine Blades Using Non-intrusive Reduced Order Modeling;Lecture Notes in Mechanical Engineering;2024

2. Deep convolutional architectures for extrapolative forecasts in time-dependent flow problems;Advanced Modeling and Simulation in Engineering Sciences;2023-11-30

3. Nonintrusive Reduced Order Modelling of Convective Boussinesq Flows;International Journal of Computational Fluid Dynamics;2022-08-09

4. Reduced Order Modeling Using Advection-Aware Autoencoders;Mathematical and Computational Applications;2022-04-21

5. Nonlinear proper orthogonal decomposition for convection-dominated flows;Physics of Fluids;2021-12

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