cwrowley / dmdtoolsLinks
A library of tools for computing variants of Dynamic Mode Decomposition
☆49Updated 8 years ago
Alternatives and similar repositories for dmdtools
Users that are interested in dmdtools are comparing it to the libraries listed below
Sorting:
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆78Updated last week
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆62Updated 5 years ago
- Easy Reduced Basis method☆94Updated this week
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆19Updated 7 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆162Updated last year
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆33Updated 3 years ago
- Update PDEKoopman code to Tensorflow 2☆24Updated 4 years ago
- A Python package for spectral proper orthogonal decomposition (SPOD).☆115Updated 2 weeks ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 8 years ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆149Updated 5 years ago
- Computation of invariant manifolds in high-dimensional mechanics problems☆27Updated 2 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 5 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Modred main repository☆80Updated 4 years ago
- Immersed Boundary Projection Method☆118Updated 5 years ago
- Spectral proper orthogonal decomposition in Matlab☆152Updated 5 months ago
- ☆26Updated 7 years ago
- A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269☆44Updated 7 years ago
- POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for F…☆34Updated 5 years ago
- RBniCS - reduced order modelling in FEniCS (legacy)☆116Updated 10 months ago
- Enhancing Dynamic Mode Decomposition using Autoencoder Networks.☆35Updated 4 years ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆39Updated 10 years ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆42Updated last year
- This code implements the Tensor Basis Neural Network (TBNN) as described in Ling et al. (Journal of Fluid Mechanics, 2016).☆43Updated 7 years ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆56Updated 2 years ago
- flowTorch - a Python library for analysis and reduced-order modeling of fluid flows☆165Updated last month
- Data-driven reduced order modeling for nonlinear dynamical systems☆99Updated 2 weeks ago
- ☆14Updated 4 years ago