GitHub topics: kuramoto-sivashinsky
DuncDennis/lorenzpy
A Python package to simulate and measure chaotic dynamical systems.
Language: Python - Size: 2.48 MB - Last synced at: about 22 hours ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1
stwerner97/model-based-pde-control
Numerical Evidence for Sample Efficiency of Model-Based over Model-Free Reinforcement Learning Control of Partial Differential Equations [ECC'24]
Language: Python - Size: 26.2 MB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 4 - Forks: 0
markmbaum/simple-spectral-PDEs
pseudospectral (fourier) solutions of a few 1-dimensional PDEs
Language: Julia - Size: 31.5 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0
whalenpt/rkstiff
Runge-Kutta adaptive-step solvers for nonlinear PDEs. Solvers include both exponential time differencing and integrating factor methods.
Language: Python - Size: 3.7 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 11 - Forks: 1
pvlachas/RNN-RC-Chaos
RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.
Language: Python - Size: 282 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 76 - Forks: 32
Parametric-Data-Assimilation/kse-multiparameter-learning
An AOT-based algorithm to estimate multiple unknown parameters in the Kuramoto-Saviashinski equation. Source code for the paper "Concurrent Multiparameter Learning Demonstrated on the Kuramoto-Sivashinsky Equation" by Pachev, Whitehead, and McQuarrie.
Language: Python - Size: 30.3 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
whalenpt/spida
Spectral Integration and Differentiation Algorithms. Includes FFTs, Chebyshev Transforms, and Hankel transforms. Exponential time differencing and integrating factor Runge-Kutta methods.
Language: C++ - Size: 5.9 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
f-rosato/modeling_from_measurements
Code for the Modeling From Measurements report
Language: MATLAB - Size: 10.4 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
