Abstract In the Polynomial Global Approach to Time Series Analysis, the most costly (computationally speaking) step is the finding of the fitting polynomial. Here we present two routines that improv
Data shown in the "Illustrative examples" section of the manuscript. It contains the route to thermalization of an alpha-FPUT chain, and the simulation of a tangent Toda lattice system (that never get
The data used in our article "Machine Learning for Predicting Chaotic Systems" - https://arxiv.org/abs/2407.20158 DeebDbDysts*.zip contain the Dysts database, DeebDbLorenz*.zip the DeebLorenz databas
