Learning Dynamical Systems with Diffusion Maps and Kernel Ridge Regression

This research explores a machine learning approach to model dynamical systems using diffusion maps and kernel ridge regression, which could offer efficient solutions for complex problems. The paper's novelty will lie in the application and potential improvements over existing methods in the field of dynamical system modeling.

• •Applies diffusion maps and kernel ridge regression to model dynamical systems.
• •Aims to learn the solution operators.
• •Contributes to advancements in dynamical system modeling.