svrlTS

This data set aims to test the global modelling technique
when several time series of different sizes are available.
Four time series are provided, all derived from the Rössler-1976 system.

data

Platform dedicated to the Global Modelling technique. Its aim
is to obtain ordinary differential equations of polynomial form directly
from time series. It can be applied to single or multiple time series under
various conditions of noise, time series lengths, sampling, etc. This platform
is developped at the Centre d'Etudes Spatiales de la Biosphere (CESBIO),
UMR 5126 UPS/CNRS/CNES/IRD, 18 av. Edouard Belin, 31401 TOULOUSE, FRANCE.
The developments were funded by the French program Les Enveloppes Fluides
et l'Environnement (LEFE, MANU, projets GloMo, SpatioGloMo and MoMu). The
French program Defi InFiNiTi (CNRS) and PNTS are also acknowledged (projects
Crops'IChaos and Musc & SlowFast). The method is described in the article :
Mangiarotti S. and Huc M. (2019) <doi:10.1063/1.5081448>.

Mireille Huc

GPoM

Generalized Polynomial Modelling

Sylvain Mangiarotti

Flavie Le Jean

Malika Chassan

Laurent Drapeau

Institut de Recherche pour le Développement 

Centre National de la Recherche Scientifique 

svrlTS function

An object of class <code>list</code> of length 4.

Format

Sylvain Mangiarotti, Mireille Huc.

Author

A data set for the global modeling of time series in association — svrlTS

A data set for the global modeling of time series in association

svrlTS: A data set for the global modeling of time series in association

Description

Usage

Arguments

Format

Author

References