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

被引：10

作者：

Ackleh, AS ^{[1
]}

机构：

[1] Univ SW Louisiana, Dept Math, Lafayette, LA 70504 USA

来源：

MATHEMATICAL AND COMPUTER MODELLING | 1999年 / 30卷 / 9-10期

关键词：

nonlinear size-structured models; parameter estimation; finite difference scheme;

D O I：

10.1016/S0895-7177(99)00183-1

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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. (C) 1999 Elsevier Science Ltd. All rights reserved.

引用

页码：81 / 92

页数：12

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