Abstract : A least-squares method is developed for estimating parameters in a size-structured population model with distributed states-at-birth from field data. First and second order finite difference schemes for approximating the nonlinear-nonlocal partial differential equation model are utilized in the least-squares problem. Convergence results for the computed parameters are established. Numerical results demonstrating the efficiency of the technique are provided.
Type de document :
Communication dans un congrès
Lorena Bociu; Jean-Antoine Désidéri; Abderrahmane Habbal. 27th IFIP Conference on System Modeling and Optimization (CSMO), Jun 2015, Sophia Antipolis, France. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-494, pp.43-57, 2016, System Modeling and Optimization. 〈10.1007/978-3-319-55795-3_3〉
https://hal.inria.fr/hal-01626901
Contributeur : Hal Ifip
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Soumis le : mardi 31 octobre 2017 - 14:40:49
Dernière modification le : mardi 31 octobre 2017 - 14:44:58
Document(s) archivé(s) le : jeudi 1 février 2018 - 13:32:52
Azmy Ackleh, Xinyu Li, Baoling Ma. Parameter Estimation in a Size-Structured Population Model with Distributed States-at-Birth. Lorena Bociu; Jean-Antoine Désidéri; Abderrahmane Habbal. 27th IFIP Conference on System Modeling and Optimization (CSMO), Jun 2015, Sophia Antipolis, France. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-494, pp.43-57, 2016, System Modeling and Optimization. 〈10.1007/978-3-319-55795-3_3〉. 〈hal-01626901〉
