Parametric Nonlinear Model Reduction Using Machine Learning on Grassmann Manifold with an Application on a Flow Simulation
This work introduces a parametric model order reduction (PMOR) approach that enhances
an existing widely used technique based on proper orthogonal decomposition (POD) and …
an existing widely used technique based on proper orthogonal decomposition (POD) and …
Model Reduction for Partial Differential Equations
J Ndambuki - 2022 - erepository.uonbi.ac.ke
This research project considersModel Order Reduction (MOR) techniques known as Proper
Orthogonal Decomposition (POD) method and Discrete Empirical Interpolation Method …
Orthogonal Decomposition (POD) method and Discrete Empirical Interpolation Method …