kuramoto-sivashinsky

There are 0 repository under kuramoto-sivashinsky topic.

pvlachas / RNN-RC-Chaos
RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.
backpropagation chaos echo-state-networks esn forecasting kuramoto-sivashinsky lorenz-3d lorenz-96 rc recurrent-neural-networks reservoir-computer reservoir-computing rnn rnn-gru rnn-lstm rnn-tensorflow
Language:Python 89
whalenpt / rkstiff
Runge-Kutta adaptive-step solvers for nonlinear PDEs. Solvers include both exponential time differencing and integrating factor methods.
runge-kutta nonlinear-pde partial-differential-equations adaptive-stepsize exponential-time-differencing integrating-factor spectral-methods hankel-tranform nls kdv sine-gordon burgers-equation kuramoto-sivashinsky
Language:Python 11
pvlachas / LearningEffectiveDynamics
Framework to learn effective dynamics and couple a macro scale simulator with a fast neural network latent propagator.
autoencoders direct-numerical-simulation equation-free-modeling kuramoto-sivashinsky lstm-neural-networks machine-learning navier-stokes-equations recurrent-neural-networks reduced-order-modeling simulations learning-effective-dynamics
Language:Python 6
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.
data-assimilation kuramoto-sivashinsky parameter-estimation parameter-learning nudging
Language:Python 3
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]
kuramoto-sivashinsky model-based-reinforcement-learning partial-differential-equations reinforcement-learning mbpo proximal-policy-optimization soft-actor-critic surrogate-models gym stable-baselines3
Language:Python 3
whalenpt / spida
Spectral Integration and Differentiation Algorithms. Includes FFTs, Chebyshev Transforms, and Hankel transforms. Exponential time differencing and integrating factor Runge-Kutta methods.
partial-differential-equations hankel-tranform runge-kutta nls adaptive-stepsize spectral-methods burgers-equation kdv nonlinear-pde exponential-time-differencing integrating-factor kuramoto-sivashinsky
Language:C++ 2
DuncDennis / lorenzpy
A Python package to simulate and measure chaotic dynamical systems.
chaos chaos-theory dynamical-systems lorenz lorenz-attractor lyapunov lyapunov-exponents python attractor double-pendulum henon-map kuramoto-sivashinsky logistic-map lorenz96 mackey-glass nonlinear rossler-attractor simulation chaotic-dynamical-systems chaotic-systems
Language:Python 1
markmbaum / simple-spectral-PDEs
pseudospectral (fourier) solutions of a few 1-dimensional PDEs
korteweg-de-vries kuramoto-sivashinsky pdes pseudospectral
Language:Julia 1
modeling_from_measurements
f-rosato / modeling_from_measurements
Code for the Modeling From Measurements report
svd dmd lorenz-equation neural-network kuramoto-sivashinsky lotka-volterra
Language:MATLAB 0