Python Dynamic Mode Decomposition
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Updated
Nov 1, 2024 - Python
Python Dynamic Mode Decomposition
flowTorch - a Python library for analysis and reduced-order modeling of fluid flows
Randomized Dimension Reduction Library
Tensor Train Toolbox
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
Modred main repository
AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
This repository contains lecture notes and codes for the course "Computational Methods for Data Science"
Dynamic Mode Decomposition (DMD)
Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming options). Diffusion Maps to extract geometric description from data.
This repository contains all the work developed in the context of the Master Thesis dissertation entitled Model Predictive Control for Wake Steering: a Koopman Dynamic Mode Decomposition Approach. The repository includes all developed documentation (dissertation, extended abstract, poster and presentation) source code (MATLAB script and function…
Python tools for non-intrusive reduced order modeling
a little library to help me with things involving Koopman operators
Generic Linear Algebra Porting of PyDMD [Ongoing]
Constructing linearizing transformations for reduced-order modeling of nonlinear dynamical systems
Implementation of Online DMD using NumPy
Dynamic Mode Decomposition (DMD)
Neural Ordinary Differential Equations for model order reduction of time-dependent PDEs
This repository is dedicated to the studienarbeit project of "Numerical investigation of 2D transonic shock-buffet around a NACA 0012-34 airfoil using OpenFOAM and flowTorch" undertaken by Mr. Tushar Gholap under the guidance of Dr. Andre Weiner.
A short introduction and implementation of the Dynamic Mode Decomposition with applications.
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