morgen - Model Order Reduction for Gas and Energy Networks
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Updated
May 26, 2024 - MATLAB
morgen - Model Order Reduction for Gas and Energy Networks
pyMOR - Model Order Reduction with Python
RBniCSx - reduced order modelling in FEniCSx
High-level model-order reduction to automate the acceleration of large-scale simulations
Easy Reduced Basis method
Python code of the paper Model order reduction of deep structured state-space models: A system-theoretic approach
GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.
Passivity-preserving model reduction for descriptor systems via spectral factorization
RBniCS - reduced order modelling in FEniCS
RBniCS - reduced order modelling in FEniCS (legacy)
sssMOR - Sparse State-Space and Model Order Reduction Toolbox
emgr -- EMpirical GRamian Framework
PROTON - A Python Framework for Physics-Based Electromigration Assessment on Contemporary VLSI Power Grids
For full documentation, see:
ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
This repository implements a new model order reduction approach for moving fronts.
Supplemental Material for "BUQEYE Guide to Projection-Based Emulators in Nuclear Physics"
morgen - Model Order Reduction for Gas and Energy Networks
Example of control simulations
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