A stochastic Galerkin method for optimal Dirichlet boundary control problems with uncertain data

Max Winkler; Hamdullah Yücel

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arXiv · 2506.11479

A stochastic Galerkin method for optimal Dirichlet boundary control problems with uncertain data

Max Winkler·Hamdullah Yücel

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Abstract

The paper deals with a stochastic Galerkin approximation of elliptic Dirichlet boundary control problems with random input data. The expectation of a tracking cost functional with the deterministic constrained control is minimized. Error estimates are derived for the control variable in $L^2(\partial \mathcal D)$-norm and state variable in $L^2(\Omega\times\mathcal D)$-norm. To solve large linear systems, appropriate preconditioners are proposed for both unconstrained and constrained scenarios. To illustrate the validity and efficiency of the proposed approaches, some numerical experiments are performed.

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BibTeX RIS

Max Winkler, Hamdullah Yücel. 2025-06-13. A stochastic Galerkin method for optimal Dirichlet boundary control problems with uncertain data. https://arxiv.org/abs/2506.11479

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