Reconstruction, forecasting, and stability of chaotic dynamics from partial data

Chaos: An Interdisciplinary Journal of Nonlinear Science, 2023

The contents above will be part of a list of publications, if the user clicks the link for the publication than the contents of section will be rendered as a full page, allowing you to provide more information about the paper for the reader. When publications are displayed as a single page, the contents of the above “citation” field will automatically be included below this section in a smaller font.

Citation: Özalp, E., Margazoglou, G., & Magri, L. (2023). Reconstruction, forecasting, and stability of chaotic dynamics from partial data. Chaos: An Interdisciplinary Journal of Nonlinear Science, 33(9).
Download Paper