erichson / DMDpackLinks
Dynamic Mode Decomposition
☆59Updated 7 years ago
Alternatives and similar repositories for DMDpack
Users that are interested in DMDpack are comparing it to the libraries listed below
Sorting:
- sparse dynamic mode decomposition in python☆37Updated 9 years ago
- Bayesian Dynamic Mode Decomposition (Bayesian DMD)☆18Updated 3 years ago
- A library of tools for computing variants of Dynamic Mode Decomposition☆48Updated 8 years ago
- a collection of modern sparse (regularized) linear regression algorithms.☆64Updated 5 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- A Matlab package for computing the optimal mode decomposition (OMD) or dynamic mode decomposition (DMD).☆15Updated 8 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 3 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆78Updated 2 years ago
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆18Updated 6 years ago
- ☆21Updated 4 years ago
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆80Updated last week
- ☆41Updated 7 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 7 years ago
- Compressive dynamic mode decomposition with control for compressive system identification☆40Updated 7 years ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆24Updated 6 years ago
- ☆28Updated 7 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 5 years ago
- Tutorial on Gaussian Processes☆62Updated 5 years ago
- Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations☆101Updated 4 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 2 years ago
- Python trust-region subproblem solvers for nonlinear optimization☆27Updated 11 months ago
- Methods for numerical differentiation of noisy data in python☆120Updated last week
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.☆35Updated last year
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆38Updated last year
- PySensors is a Python package for sparse sensor placement☆92Updated last week
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- Chebfun examples collection☆69Updated 2 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago