/LatentStateInitialization

Code for Kolic et al. (2022) "Estimating initial conditions for dynamical systems with incomplete information"

Primary LanguageJupyter Notebook

LatentStateInitialization

This code provides the algorithms to infer the latent initial conditions from a sequence of aggregate noisy observations of a dynamical systems.

For details, see Kolic, B., Sabuco, J., & Farmer, J. D. (2022). Estimating initial conditions for dynamical systems with incomplete information. Nonlinear Dynamics

Check the /example folder and the LorenzSystemInitialization.ipynb notebook within for a tutorial on how to use the code.

Disclaimer

By using this code you agree with the following points:

  • The code is provided without any warranty or conditions of any kind. We assume no responsibility for errors or omissions in the results and interpretations following from applications of the code.

  • You commit to cite our paper (above) in publications where you use this code.