Parameter estimation in a coupled system of nonlinear size-structured populations.
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.
Ackleh
Azmy S
AS
Department of Mathematics, University of Louisiana at Lafayette, Lafayette, Louisiana 70504-1010. ackleh@louisiana.edu.
Banks
H T
HT
Deng
Keng
K
Hu
Shuhua
S