paramId

Estimate the polynomial coefficients.

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 

paramId function

<dl><dt>allForK</dt>
<dd>The list of input parameters</dd>
<dt>drv</dt>
<dd>The derivative (on the equation left hand)</dd>
<dt>weight</dt>
<dd>The weighting series</dd></dl>

Arguments

Author

For parameter Identification — paramId

<dl>

<dt>allForK</dt>
<dd>The list of input parameters</dd>


<dt>drv</dt>
<dd>The derivative (on the equation left hand)</dd>


<dt>weight</dt>
<dd>The weighting series</dd>

</dl>

paramId: For parameter Identification

Description

Usage

Value

Arguments

Author