Parameter-Robust Preconditioner for Stokes-Darcy Coupled Problem with Lagrange Multiplier

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Authors: Xiaozhe Hu, Miroslav Kuchta, K. Mardal, Xue Wang
Cited by: 1
References: 37

Abstract

Abstract. In this paper, we propose a parameter-robust preconditioner for the coupled Stokes–Darcy problem equipped with various boundary conditions, enforcing the mass conservation at the interface via a Lagrange multiplier. We rigorously establish that the coupled system is well-posed with respect to physical parameters and mesh size and provides a framework for constructing parameter-robust preconditioners. Furthermore, we analyze the convergence behavior of the minimal residual method in the presence of small outlier eigenvalues linked to specific boundary conditions, which can lead to slow convergence or stagnation. To address this issue, we employ deflation techniques to accelerate the convergence. Finally, numerical experiments confirm the effectiveness and robustness of the proposed approach.

Fields of Study & Subjects

Matrix Theory and Algorithms Advanced Numerical Methods in Computational Mathematics Advanced Optimization Algorithms Research

Publication details

Journal / source
SIAM Journal on Scientific Computing
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Volume
48
Issue
2
Pages
A878–A904
Publication date
9 April 2026
Language
EN