半线性和准线性椭圆方程的修正诺伊曼-诺伊曼方法

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-08-21 DOI:10.1016/j.apnum.2024.08.011
Emil Engström, Eskil Hansen
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引用次数: 0

摘要

Neumann-Neumann 方法是线性椭圆方程常用的域分解方法。然而,该方法在应用于半线性方程时收敛速度较慢,对于某些准线性方程似乎根本无法收敛。因此,我们提出了两种改进的 Neumann-Neumann 方法,它们具有更好的收敛特性,而且需要的计算量更少。我们提供的数值结果显示了这些方法在应用于半线性方程和准线性方程时的优势。我们还证明了在方程的某些假设条件下,与网格无关的误差减少的线性收敛性。分析是在一般 Lipschitz 域上进行的,并依赖于非线性 Steklov-Poincaré 算子理论。
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Modified Neumann–Neumann methods for semi- and quasilinear elliptic equations

The Neumann–Neumann method is a commonly employed domain decomposition method for linear elliptic equations. However, the method exhibits slow convergence when applied to semilinear equations and does not seem to converge at all for certain quasilinear equations. We therefore propose two modified Neumann–Neumann methods that have better convergence properties and require fewer computations. We provide numerical results that show the advantages of these methods when applied to both semilinear and quasilinear equations. We also prove linear convergence with mesh-independent error reduction under certain assumptions on the equation. The analysis is carried out on general Lipschitz domains and relies on the theory of nonlinear Steklov–Poincaré operators.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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