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:
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆62Updated 5 years ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆163Updated last year
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆79Updated 3 weeks ago
- Easy Reduced Basis method☆94Updated 2 weeks ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 5 years ago
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆20Updated 7 years ago
- A Python package for spectral proper orthogonal decomposition (SPOD).☆116Updated 3 weeks ago
- RBniCS - reduced order modelling in FEniCS (legacy)☆116Updated 11 months ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆149Updated 5 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 8 years ago
- Update PDEKoopman code to Tensorflow 2☆24Updated 4 years ago
- ☆26Updated 7 years ago
- Modred main repository☆80Updated 4 years ago
- ☆55Updated 2 years ago
- A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269☆45Updated 7 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- ☆19Updated 5 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆34Updated 3 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
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆29Updated 4 years ago
- MODULO (MODal mULtiscale pOd) is a software developed at the von Karman Institute to perform Multiscale Modal Analysis of numerical and e…☆97Updated this week
- ☆52Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Updated 5 years ago
- Computation of invariant manifolds in high-dimensional mechanics problems☆27Updated 2 years ago
- Spectral proper orthogonal decomposition in Matlab☆152Updated 5 months ago
- Enhancing Dynamic Mode Decomposition using Autoencoder Networks.☆35Updated 4 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆37Updated 2 years ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆96Updated 6 years ago
- flowTorch - a Python library for analysis and reduced-order modeling of fluid flows☆166Updated last week