Document Type
Article
Publication Date
4-1-2019
Abstract
We study [Formula presented] interior penalty methods for an elliptic optimal control problem with pointwise state constraints on two dimensional convex polygonal domains. The approximation of the optimal state is obtained by solving a fourth order variational inequality and the approximation of the optimal control is computed by a post-processing procedure. We prove the convergence of numerical solutions with rates in the [Formula presented]-like energy error by using the complementarity form of the variational inequality. Furthermore, we develop an a posteriori analysis for a residual based error estimator and introduce an adaptive algorithm. Numerical experiments are provided to gauge the performance of the proposed methods.
Publication Source (Journal or Book title)
Journal of Computational and Applied Mathematics
First Page
212
Last Page
232
Recommended Citation
Brenner, S., Sung, L., & Zhang, Y. (2019). [Formula presented] interior penalty methods for an elliptic state-constrained optimal control problem with Neumann boundary condition. Journal of Computational and Applied Mathematics, 350, 212-232. https://doi.org/10.1016/j.cam.2018.10.015