Analysis of an innovative sampling strategy based on k-means clustering algorithm for POD and POD-DEIM reduced order models of a 2-D reaction-diffusion system
In this work, a model-order reduction methodology based on proper orthogonal
decomposition (POD) and Galërkin projection is presented and applied to the simulation of …
decomposition (POD) and Galërkin projection is presented and applied to the simulation of …
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 …
[PDF][PDF] Stabilized model reduction for nonlinear dynamical systems through a contractivity-preserving framework
S Chaturantabut - International Journal of Applied Mathematics …, 2020 - intapi.sciendo.com
This work develops a technique for constructing a reduced-order system that not only has
low computational complexity, but also maintains the stability of the original nonlinear …
low computational complexity, but also maintains the stability of the original nonlinear …
Reduced-order modeling of a local discontinuous Galerkin method for Burgers-Poisson equations
N Ploymaklam, S Chaturantabut - Thai Journal of …, 2020 - thaijmath2.in.cmu.ac.th
In this work, we apply model reduction techniques to efficiently approximate the solution of
the Burgers-Poisson equation. The proper orthogonal decomposition (POD) framework is …
the Burgers-Poisson equation. The proper orthogonal decomposition (POD) framework is …
[PDF][PDF] QUERY SHEET
EA Cutillo, G Petito, K Bizon, G Continillo - 2023 - researchgate.net
In this work, a model-order reduction methodology based on proper orthogonal
decomposition (POD) and Galërkin projection is presented and applied to the simulation of …
decomposition (POD) and Galërkin projection is presented and applied to the simulation of …
MACHINE LEARNING FOR PROJECTION-BASED MODEL-ORDER-REDUCTION OF ELASTOPLASTICITY
S Vijayaraghavan - 2022 - orbilu.uni.lu
Projection-based model-order-reduction (MOR) accelerates computations of physical
systems in case the same computation must be performed many times for different load …
systems in case the same computation must be performed many times for different load …