Parameter identification in size-structured population models with nonlinear individual rates

In this paper, we present a least squares method for estimating parameters in a general class of nonlinear size-structured population models. We establish a convergence result for parameter estimates obtained using an implicit finite difference scheme for solving this equation. Finally, we present numerical examples indicating the feasibility of such a method.