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

Yoongu Hwang, Jangwoon Lee, Jeehyun Lee, Myoungho Yoon

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1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Article number124674
JournalApplied Mathematics and Computation
Volume364
DOIs
Publication statusPublished - 2020 Jan 1

Bibliographical note

Funding Information:
The work of Jeehyun Lee was supported by Mid-Career Research Program (NRF-2015R1A5A1009350) and Science Research Center (NRF-2016R1A2B4014178) through the National Research Foundation of Korea.

Publisher Copyright:
© 2019 Elsevier Inc.

All Science Journal Classification (ASJC) codes

  • Computational Mathematics
  • Applied Mathematics

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