Estimation of Lyapunov Exponents with use of Automatic Differentiation

The dataset contains Python scripts connected with estimation of Lyapunov Exponents with use of Automatic Differentiation. They show that: a) Automatic Differentiation (AD) can be successfully applied in Lyapunov Exponents (LEs) estmination; b) AD approach is slighlty less accurate then the one based on the variational equation; c) AD approach is less efficient then the one based on the variational equation for small systems, but more effective for large ones.