Further Software: Difference between revisions

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Revision as of 14:22, 14 January 2019

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Besides the projects in Software category, the following model reduction software packages exist:

hapod - Hierarchical Approximate Proper Orthogonal Decomposition (MATLAB/OCTAVE)
KerMor - Kernel Methods for Model Order Reduction (MATLAB)
mor - Model Order Reduction in Python
modred - A Parallelized Model Reduction Library (Python)
Nonlinear Model Reduction Routines (MATLAB)
psssMOR - Parametric Sparse State-Space and Model Order Reduction Toolbox (MATLAB)
redbKIT - a MATLAB(R) library for reduced-order modeling of parametrized PDEs
SiMpLIfy - Structured ModeL reductIon Toolbox for MATLAB
SLICOT - Model and Controller Reduction Toolbox (MATLAB)
SUMO - SUrrogate MOdeling (SUMO) Toolbox (MATLAB)

A MATLAB Toolbox for Teaching Model Order Reduction Techniques
EXPRED - Expert system for optimization of model reduction techniques (M1)
mor4ansys - Model Order Reduction for ANSYS (now ANSYS extension)
MRedTool - Model Reduction of Multi-dimensional and Uncertain systems (MATLAB)
NLMR - MATLAB toolbox for exploring projection-based nonlinear model reduction
PLiCMR - Parallel Library in Control: Model Reduction (integrated into PSLICOT)
rbMIT - reduced basis MIT (MATLAB)
SMORES - A Matlab tool for Simulation and Model Order Reduction of Electrical Systems
SpaRed - A Parallel Library for Model Reduction

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 * [http://homepages.rpi.edu/~hahnj/Model_Reduction/ Nonlinear Model Reduction Routines] (MATLAB)
 * [http://www.rt.mw.tum.de/forschung/morlab/software/psssmor/ psssMOR] - Parametric Sparse State-Space and Model Order Reduction Toolbox (MATLAB)
-* [https://mathlab.sissa.it/rbnics RBniCS] - reduced order modelling in FEniCS (Python)
 * [https://redbkit.github.io/redbKIT/ redbKIT] - a MATLAB(R) library for reduced-order modeling of parametrized PDEs
 * [http://simplifytoolbox.tumblr.com/ SiMpLIfy] - Structured ModeL reductIon Toolbox for MATLAB