A Nonlinear Multigrid Method for the Parameter Identification Problem of Partial Differential Equations with Constraints
Tao Liu, Jiayuan Yu, Yuanjin Zheng, Chao Liu, Yanxiong Yang, Yunfei Qi
Abstract
In this paper, we consider the parameter identification problem of partial differential equations with constraints. A nonlinear multigrid method is introduced to the process of parameter inversion. By keeping the objective functions on coarse grids consistent with those on fine grids, the proposed method reduces the dimensions of objective functions enormously and mitigates the risk of trapping in local minima effectively. Furthermore, constraints significantly improve the convergence ability of the method. We performed the numerical simulation based on the porosity identification of elastic wave equations in the fluid-saturated porous media, which suggests that the nonlinear multigrid method with constraints decreases the computational expenditure, suppresses the noise, and improves the inversion results.