Topic: model-order-reduction Goto Github
Some thing interesting about model-order-reduction
Some thing interesting about model-order-reduction
model-order-reduction,For full documentation, see:
Organization: adacs-australia
Home Page: https://rombus.readthedocs.io/en/latest/
model-order-reduction,
User: atulsingh92
model-order-reduction,Supplemental Material for "BUQEYE Guide to Projection-Based Emulators in Nuclear Physics"
Organization: buqeye
model-order-reduction,Implementation of balanced truncation method for semi-discretized heat equation, boundary control, Neumann observation. In 2018.
User: chrdz
model-order-reduction,Supporting code for "reduced order modeling using advection-aware autoencoders"
Organization: erdc
model-order-reduction,Neural Ordinary Differential Equations for model order reduction of time-dependent PDEs
Organization: erdc
model-order-reduction,Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow water equations
Organization: erdc
model-order-reduction,Python tools for non-intrusive reduced order modeling
Organization: erdc
model-order-reduction,Minimal rational interpolation (MRI) suite for time-harmonic problems in electromagnetism governed by Maxwell's equations.
User: fmatti
model-order-reduction,Python code of the paper Model order reduction of deep structured state-space models: A system-theoretic approach
User: forgi86
model-order-reduction,GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.
User: fpichi
Home Page: https://fpichi.github.io/gca-rom/
model-order-reduction,Python libraries (NumPy-based) to perform model order reduction, clustering and data analysis for combustion and aerothermochemistry data
User: gdalessi
model-order-reduction,emgr -- EMpirical GRamian Framework
User: gramian
Home Page: https://gramian.de
model-order-reduction,HAPOD - Hierarchical Approximate Proper Orthogonal Decomposition
User: gramian
Home Page: https://git.io/hapod
model-order-reduction,Frequency domain reduced order model (ROM) for second-order systems with frequency dependent matrices
User: j-jith
model-order-reduction,Example of control simulations
User: kimy-de
model-order-reduction,Dimensionality reduction using CUR decomposition
User: kimy-de
model-order-reduction,individual convolutional autoencoders (iCAEs) for low-dimensional parametrization
User: kimy-de
model-order-reduction,ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
Organization: mathlab
Home Page: https://mathlab.github.io/ATHENA/
model-order-reduction,Easy Reduced Basis method
Organization: mathlab
Home Page: https://mathlab.github.io/EZyRB/
model-order-reduction,Repository that implements the neural network shifted POD
Organization: mor-transport
model-order-reduction,This repository implements a new model order reduction approach for moving fronts.
Organization: mor-transport
model-order-reduction,sssMOR - Sparse State-Space and Model Order Reduction Toolbox
Organization: morlab
Home Page: https://www.rt.mw.tum.de/?sssmor
model-order-reduction,morgen - Model Order Reduction for Gas and Energy Networks
Organization: mpimd-csc
Home Page: https://git.io/morgen
model-order-reduction,PROTON - A Python Framework for Physics-Based Electromigration Assessment on Contemporary VLSI Power Grids
User: oaxelou
Home Page: https://www.e-ce.uth.gr/?lang=en
model-order-reduction,Graph Feedforward Networks: a resolution-invariant generalisation of feedforward networks for graphical data, applied to model order reduction
User: oisin-m
Home Page: https://arxiv.org/abs/2406.03569
model-order-reduction,pyMOR - Model Order Reduction with Python
Organization: pymor
Home Page: https://pymor.org
model-order-reduction,RBniCS - reduced order modelling in FEniCS (legacy)
Organization: rbnics
Home Page: https://www.rbnicsproject.org/
model-order-reduction,RBniCSx - reduced order modelling in FEniCSx
Organization: rbnics
model-order-reduction,The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.
User: rmojgani
model-order-reduction,High-level model-order reduction to automate the acceleration of large-scale simulations
Organization: sciml
Home Page: https://docs.sciml.ai/ModelOrderReduction/
model-order-reduction,SOFA Plugin to Reduce Model
Organization: sofadefrost
Home Page: https://project.inria.fr/modelorderreduction/
model-order-reduction,Passivity-preserving model reduction for descriptor systems via spectral factorization
User: steff-mueller
model-order-reduction,Implementation of the Generalized Multiscale Finite Element Method (GMsFEM) for solution problems in heterogeneous media with finite volume approximation on the fine grid
User: vmasha
model-order-reduction,Hierarchical Model Reduction
User: yvesantonio
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