eowagner / chaotic_mapsLinks
A python library for creating cobweb plots, orbit diagrams, and calculating Lyapunov exponents.
☆21Updated last year
Alternatives and similar repositories for chaotic_maps
Users that are interested in chaotic_maps are comparing it to the libraries listed below
Sorting:
- A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.☆44Updated 10 months ago
- This repository contains code for parallelized prediction of spatiotemporal chaotic data using reservoir computing as described in the pa…☆34Updated 5 years ago
- Non-Linear Dynamic Systems☆27Updated 3 years ago
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆94Updated 2 years ago
- Estimate maximum Lyapunov exponent for short time series using Rosenstein, et al. method☆10Updated 9 years ago
- Lyapunov exponent of maps and ODE in Python 3, example with Henon Map and Lorenz System☆13Updated 7 years ago
- Codes related to our paper "Sparse Polynomial Chaos Expansions via D-optimal Designs and Compressed Sensing." https://www.sciencedirect.…☆21Updated 5 years ago
- Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN☆41Updated 4 years ago
- A simulation of the Kuramoto-Sivashinsky Equation in Python and MATLAB☆25Updated 6 years ago
- Reservoir computing for short-and long-term prediction of chaotic systems, with tasks Lorenz and Mackey-Glass systems. Bayesian optimizat…☆21Updated last year
- Deep learning assisted dynamic mode decomposition☆19Updated 3 years ago
- This repository contains Matlab code to reproduce results for the sparse sensor placement optimization for reconstruction (SSPOR) algorit…☆21Updated 8 years ago
- Calculate the parameter basin of attraction, iteration loop, time series, and bifurcation diagram for a simple nonlinear cobweb model☆9Updated 3 years ago
- multi-fidelity neural network☆18Updated last year
- Research/development of physics-informed neural networks for dynamic systems☆23Updated 6 months ago
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆18Updated 6 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆26Updated 3 years ago
- ☆19Updated 2 years ago
- Matlab implementation of Echo State Network (reservoir computing)☆25Updated 7 years ago
- Reduced-order Variational Mode Decomposition (RVMD)☆26Updated 3 months ago
- ☆29Updated last year
- ☆62Updated 2 years ago
- The effect of copulas on time-variant reliability involving time-continuous stochastic processes☆10Updated 8 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- codes for PINNs☆12Updated 4 years ago
- Physics-informed learning of governing equations from scarce data☆144Updated last year
- Matlab codes for Arbitrary Polynomial Chaos Expansion☆12Updated 5 years ago
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆11Updated 2 months ago
- Tools to construct surrogate models based on Hermitian polynomial bases. Includes full-factorial and sparse polynomial chaos expansions v…☆10Updated 6 years ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆29Updated 3 years ago