Department of Mathematics, University of Louisiana at Lafayette, Lafayette, Louisiana 70504-1010.
Math Biosci Eng. 2005 Apr;2(2):289-315. doi: 10.3934/mbe.2005.2.289.
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.
一种最小二乘法技术被开发用于识别非线性大小结构种群耦合系统中的未知参数。建立了参数估计技术的收敛性结果。提供了大量的数值模拟和统计证据,以证明该方法的可行性。