Finite element methods for parameter identification problem of linear and nonlinear steady-state diffusion equations
We study a parameter identification problem for the steady state diffusion equations. In this thesis, we transform this identification problem into a minimization problem by considering an appropriate cost functional and propose a finite element method for the identification of the parameter for the linear and nonlinear partial differential equation. The cost functional involves the classical output least square term, a term approximating the derivative of the piezometric head u(x), an equation error term plus some regularization terms, which happen to be a norm or a semi-norm of the variables in the cost functional in an appropriate Sobolev space. The existence and uniqueness of the minimizer for the cost functional is proved. Error estimates in a weighted H-1-norm, L2-norm and L1-norm for the numerical solution are derived. Numerical examples will be given to show features of this numerical method.
Advisor:Tao Lin; John Burns; Robert Rogers; David Russell; Shu-Ming Sun
School:Virginia Polytechnic Institute and State University
School Location:USA - Virginia
Source Type:Master's Thesis
Date of Publication:01/26/1998