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Mathematics > Numerical Analysis

arXiv:2403.19356 (math)
[Submitted on 28 Mar 2024]

Title:A robust two-level overlapping preconditioner for Darcy flow in high-contrast media

Authors:Changqing Ye, Shubin Fu, Eric T. Chung, Jizu Huang
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Abstract:In this article, a two-level overlapping domain decomposition preconditioner is developed for solving linear algebraic systems obtained from simulating Darcy flow in high-contrast media. Our preconditioner starts at a mixed finite element method for discretizing the partial differential equation by Darcy's law with the no-flux boundary condition and is then followed by a velocity elimination technique to yield a linear algebraic system with only unknowns of pressure. Then, our main objective is to design a robust and efficient domain decomposition preconditioner for this system, which is accomplished by engineering a multiscale coarse space that is capable of characterizing high-contrast features of the permeability field. A generalized eigenvalue problem is solved in each non-overlapping coarse element in a communication-free manner to form the global solver, which is accompanied by local solvers originated from additive Schwarz methods but with a non-Galerkin discretization to derive the two-level preconditioner. We provide a rigorous analysis that indicates that the condition number of the preconditioned system could be bounded above with several assumptions. Extensive numerical experiments with various types of three-dimensional high-contrast models are exhibited. In particular, we study the robustness against the contrast of the media as well as the influences of numbers of eigenfunctions, oversampling sizes, and subdomain partitions on the efficiency of the proposed preconditioner. Besides, strong and weak scalability performances are also examined.
Subjects: Numerical Analysis (math.NA)
Cite as: arXiv:2403.19356 [math.NA]
  (or arXiv:2403.19356v1 [math.NA] for this version)
  https://doi.org/10.48550/arXiv.2403.19356
arXiv-issued DOI via DataCite

Submission history

From: Changqing Ye [view email]
[v1] Thu, 28 Mar 2024 12:11:58 UTC (2,286 KB)
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