Parameter Estimation in a Size-Structured Population Model with Distributed States-at-Birth - System Modeling and Optimization Access content directly
Conference Papers Year : 2016

Parameter Estimation in a Size-Structured Population Model with Distributed States-at-Birth

Azmy S. Ackleh
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  • PersonId : 1021969
Xinyu Li
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Baoling Ma
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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.
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hal-01626901 , version 1 (31-10-2017)

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Azmy S. Ackleh, Xinyu Li, Baoling Ma. Parameter Estimation in a Size-Structured Population Model with Distributed States-at-Birth. 27th IFIP Conference on System Modeling and Optimization (CSMO), Jun 2015, Sophia Antipolis, France. pp.43-57, ⟨10.1007/978-3-319-55795-3_3⟩. ⟨hal-01626901⟩
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