Willcox-Research-Group / rom-operator-inference-Python3
Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
☆72Updated 2 weeks ago
Alternatives and similar repositories for rom-operator-inference-Python3:
Users that are interested in rom-operator-inference-Python3 are comparing it to the libraries listed below
- Easy Reduced Basis method☆84Updated last month
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆30Updated 2 years ago
- RBniCS - reduced order modelling in FEniCS (legacy)☆106Updated last month
- A Python package for spectral proper orthogonal decomposition (SPOD).☆108Updated 5 months ago
- Channelflow is a software system for numerical analysis of the incompressible fluid flow in channel geometries, written in C++ and MPI-pa…☆73Updated 2 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆67Updated 4 years ago
- A Python library for solving any system of hyperbolic or parabolic Partial Differential Equations. The PDEs can have stiff source terms a…☆57Updated 5 years ago
- Immersed Boundary Projection Method☆110Updated 5 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated 3 weeks ago
- We present a user-friendly open-source Matlab package for stochastic data analysis that enables to perform a standard analysis of given t…☆32Updated 2 years ago
- Material for workshop and autumn school on scientific machine learning 2023☆19Updated last year
- A library of tools for computing variants of Dynamic Mode Decomposition☆46Updated 7 years ago
- The algorithmic differentation tool pyadjoint and add-ons.☆94Updated last week
- Sandia Uncertainty Quantification Toolkit☆79Updated 4 months ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 3 years ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆58Updated 4 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆56Updated 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…☆88Updated 6 months ago
- Computation of invariant manifolds in high-dimensional mechanics problems☆23Updated last year
- Monolithic Fluid-Structure Interaction (FSI) solver☆68Updated last month
- Pseudospectral Kolmogorov Flow Solver☆38Updated last year
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆65Updated last year
- ☆29Updated last year
- Companion code for Data-Driven Resolvent Analysis☆19Updated 3 years ago
- Direct Numerical Simulation of Fluid Flow with IBM Using Python☆30Updated last year
- A scalable reinforcement learning framework for CFD on HPC systems☆31Updated last week
- Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.☆26Updated 2 years ago
- Simple OOP Python Code to run some Pseudo-Spectral 2D Simulations of Turbulence☆64Updated 2 years ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆142Updated last year
- DAFI: Ensemble based data assimilation and field inversion, repository for internal development☆55Updated last year