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Parameter Estimation in a Coupled System of Nonlinear Size-Structured Populations

1. Department of Mathematics, University of Louisiana at Lafayette, Lafayette, Louisiana 70504-1010
2. Center for Research in Scientific Computation, North Carolina State University, Raleigh, North Carolina 27695-8205

A least squares technique is developed for identifying unknown parameters in a coupled system of nonlinear size-structured populations. Convergence results for the parameter estimation technique are established. Ample numerical simulations and statistical evidence are provided to demonstrate the feasibility of this approach.
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Keywords finite difference approximation; coupled system of nonlinear size-structured populations; parameter estimation; standard deviation.; numerical simulation

Citation: Azmy S. Ackleh, H.T. Banks, Keng Deng, Shuhua Hu. Parameter Estimation in a Coupled System of Nonlinear Size-Structured Populations. Mathematical Biosciences and Engineering, 2005, 2(2): 289-315. doi: 10.3934/mbe.2005.2.289


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Copyright Info: 2005, Azmy S. Ackleh, et al., licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

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