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

Azmy S. Ackleh H.T. Banks Keng Deng Shuhua Hu

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MBE2005,2,289doi:10.3934/mbe.2005.2.289

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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