线性各向异性微分算子的二阶单调有限差分离散化

J. Bonnans, G. Bonnet, J. Mirebeau
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引用次数: 3

摘要

我们设计了具有一阶项和各向异性二阶项的线性和拟线性偏微分算子的自适应有限差分离散化,该离散化是退化椭圆型和二阶一致性的。我们的方法需要在笛卡尔网格上离散域,并利用了低维晶格几何领域的技术。我们证明了我们的数值格式模板在二维上是最优紧凑的,并且在二维和三维上,我们的方法在一阶和二阶算子的相容条件下是拟最优的。数值实验证明了该方法在多种情况下的有效性。
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Second order monotone finite differences discretization of linear anisotropic differential operators
We design adaptive finite differences discretizations, which are degenerate elliptic and second order consistent, of linear and quasi-linear partial differential operators featuring both a first order term and an anisotropic second order term. Our approach requires the domain to be discretized on a Cartesian grid, and takes advantage of techniques from the field of low-dimensional lattice geometry. We prove that the stencil of our numerical scheme is optimally compact, in dimension two, and that our approach is quasi-optimal in terms of the compatibility condition required of the first and second order operators, in dimensions two and three. Numerical experiments illustrate the efficiency of our method in several contexts.
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