Parameter Estimation in a Size-Structured Population Model with Distributed States-at-Birth
Abstract
A least-squares method is developed for estimating parameters in a size-structured population model with distributed states-at-birth from field data. First and second order finite difference schemes for approximating the nonlinear-nonlocal partial differential equation model are utilized in the least-squares problem. Convergence results for the computed parameters are established. Numerical results demonstrating the efficiency of the technique are provided.
Domains
Computer Science [cs]Origin | Files produced by the author(s) |
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