A domain decomposition algorithm for optimal control problems governed by elliptic PDEs with random inputs

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摘要

In this study, we apply a domain decomposition algorithm based on optimization technique to optimal control problems governed by an elliptic partial differential equation with random inputs. The domain decomposition is implemented by introducing an auxiliary optimal control problem, which results in a multi-objective optimization problem. We prove the existence of a solution to the resulting optimization problem as well as the convergence to the optimal solution of original control problem. Solutions of the domain decomposition problem are determined from an optimality system and error estimates for finite element approximations are analyzed. Finally, some numerical experiments are provided to confirm theoretical results.

论文关键词:Domain decomposition,Optimal control,Elliptic PDE,Random input,Finite element method

论文评审过程:Received 28 March 2019, Revised 1 July 2019, Accepted 12 August 2019, Available online 2 September 2019, Version of Record 2 September 2019.

论文官网地址:https://doi.org/10.1016/j.amc.2019.124674