Convergence Analysis of a Dual-Wind Discontinuous Galerkin Method for an Elliptic Optimal Control Problem with Control Constraints
Satyajith Bommana Boyana, Thomas Lewis, Sijing Liu, and Yi Zhang

TL;DR
This paper presents a convergence analysis of a symmetric dual-wind discontinuous Galerkin method applied to elliptic optimal control problems with control constraints, providing error estimates and numerical validation.
Contribution
The paper introduces a novel symmetric DWDG method for elliptic control problems and derives rigorous error estimates for the state, adjoint state, and control variables.
Findings
Error estimates in energy and $L^2$ norms for state, adjoint, and control
Numerical experiments confirm robustness and effectiveness
Method effectively handles control constraints in elliptic PDEs
Abstract
This paper investigates a symmetric dual-wind discontinuous Galerkin (DWDG) method for solving an elliptic optimal control problem with control constraints. The governing constraint is an elliptic partial differential equation (PDE), which is discretized using the symmetric DWDG approach. We derive error estimates in the energy norm for both the state and the adjoint state, as well as in the norm of the control variable. Numerical experiments are provided to demonstrate the robustness and effectiveness of the developed scheme.
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Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Differential Equations and Numerical Methods · Advanced Mathematical Modeling in Engineering
