ModelsFLOW / HODMD
HODMD algorithm from Le Clainche & Vega, SIAM J. on Appl. Dyn. Sys. 16(2), 882-925, 2017
☆11Updated 7 years ago
Alternatives and similar repositories for HODMD:
Users that are interested in HODMD are comparing it to the libraries listed below
- Dynamic Mode Decomposition (DMD)☆33Updated 3 years ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆28Updated 3 years ago
- Computing the discrete spectrum of the Koopman operator using Dynamic Mode Decomposition☆10Updated 4 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆28Updated 2 years ago
- ☆62Updated 5 years ago
- ☆14Updated 3 years ago
- Koopman Mode Decomposition☆71Updated 7 years ago
- Multifidelity Kriging, Efficient Global Optimization☆18Updated 6 years ago
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆18Updated 6 years ago
- Sparse Physics-based and Interpretable Neural Networks☆48Updated 3 years ago
- ☆24Updated 6 years ago
- PINN, DGM and DRM☆20Updated last year
- ☆19Updated 3 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 3 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆67Updated 4 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆56Updated 3 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 7 years ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆143Updated 5 years ago
- Compressive dynamic mode decomposition with control for compressive system identification☆39Updated 7 years ago
- Multi Fidelity Monte Carlo☆25Updated 5 years ago
- A library of tools for computing variants of Dynamic Mode Decomposition☆46Updated 7 years ago
- This repository contains code for parallelized prediction of spatiotemporal chaotic data using reservoir computing as described in the pa…☆34Updated 5 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆48Updated 4 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆29Updated last year
- Multi-fidelity reduced-order surrogate modeling☆19Updated 3 months ago
- AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)☆42Updated 2 years ago
- Implementation of the Deep Ritz method and the Deep Galerkin method☆54Updated 4 years ago
- Multi-fidelity Gaussian Process☆25Updated 4 years ago
- Computation of invariant manifolds in high-dimensional mechanics problems☆23Updated last year
- ☆12Updated this week