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
Frequency domain reduced order model (ROM) for second-order systems with frequency dependent matrices
Python tools for non-intrusive reduced order modeling
Python libraries (NumPy-based) to perform model order reduction, clustering and data analysis for combustion and aerothermochemistry data
Supporting code for "reduced order modeling using advection-aware autoencoders"
individual convolutional autoencoders (iCAEs) for low-dimensional parametrization
Supplemental Material for "BUQEYE Guide to Projection-Based Emulators in Nuclear Physics"
ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
For full documentation, see:
PROTON - A Python Framework for Physics-Based Electromigration Assessment on Contemporary VLSI Power Grids
RBniCS - reduced order modelling in FEniCS
Python code of the paper Model order reduction of deep structured state-space models: A system-theoretic approach
RBniCS - reduced order modelling in FEniCS (legacy)
RBniCSx - reduced order modelling in FEniCSx
pyMOR - Model Order Reduction with Python
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