Frequency domain reduced order model (ROM) for second-order systems with frequency dependent matrices
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Updated
Mar 13, 2018 - Python
Frequency domain reduced order model (ROM) for second-order systems with frequency dependent matrices
individual convolutional autoencoders (iCAEs) for low-dimensional parametrization
Implementation of balanced truncation method for semi-discretized heat equation, boundary control, Neumann observation. In 2018.
Frequency domain reduced order model (ROM) for second-order systems with frequency dependent matrices
Example of control simulations
Passivity-preserving model reduction for descriptor systems via spectral factorization
This repository implements a new model order reduction approach for moving fronts.
For full documentation, see:
morgen - Model Order Reduction for Gas and Energy Networks
Implementation of the Generalized Multiscale Finite Element Method (GMsFEM) for solution problems in heterogeneous media with finite volume approximation on the fine grid
Minimal rational interpolation (MRI) suite for time-harmonic problems in electromagnetism governed by Maxwell's equations.
Supplemental Material for "BUQEYE Guide to Projection-Based Emulators in Nuclear Physics"
Hierarchical Model Reduction
Implementation of the Reduced Basis Method
RBniCS - reduced order modelling in FEniCS
Supporting code for "reduced order modeling using advection-aware autoencoders"
Neural Ordinary Differential Equations for model order reduction of time-dependent PDEs
Python code of the paper Model order reduction of deep structured state-space models: A system-theoretic approach
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