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Authors: Benoit Bayol ; Yuting Chen and Paul-Henry Cournède

Affiliation: Ecole Centrale Paris, France

Keyword(s): General State-space Model, Grid Simulation, Parallelism, Parameter Estimation, Filtering, Sensitivity Analysis, Uncertainty Analysis, Model Selection, Data Assimilation, Multi-paradigm Programming, EDSL.

Related Ontology Subjects/Areas/Topics: Biological Systems ; Complex Systems Modeling and Simulation ; Domain-Specific Tools ; Dynamical Systems Models and Methods ; Formal Methods ; Non-Linear Systems ; Simulation and Modeling ; Simulation Tools and Platforms ; Stochastic Modeling and Simulation

Abstract: A computational formalism is presented that structures a C++ library which aims at the modelling, simulation and statistical analysis of stochastic non-linear discrete dynamical system models. Applications concern the development and analysis of general plant growth models.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Bayol, B.; Chen, Y. and Cournède, P. (2013). Towards an EDSL to Enhance Good Modelling Practice for Non-linear Stochastic Discrete Dynamical Models - Application to Plant Growth Models. In Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH; ISBN 978-989-8565-69-3; ISSN 2184-2841, SciTePress, pages 132-138. DOI: 10.5220/0004481101320138

@conference{simultech13,
author={Benoit Bayol. and Yuting Chen. and Paul{-}Henry Cournède.},
title={Towards an EDSL to Enhance Good Modelling Practice for Non-linear Stochastic Discrete Dynamical Models - Application to Plant Growth Models},
booktitle={Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH},
year={2013},
pages={132-138},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004481101320138},
isbn={978-989-8565-69-3},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH
TI - Towards an EDSL to Enhance Good Modelling Practice for Non-linear Stochastic Discrete Dynamical Models - Application to Plant Growth Models
SN - 978-989-8565-69-3
IS - 2184-2841
AU - Bayol, B.
AU - Chen, Y.
AU - Cournède, P.
PY - 2013
SP - 132
EP - 138
DO - 10.5220/0004481101320138
PB - SciTePress