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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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