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[文献讨论] The Gradient Discretisation Methods [推广有奖]

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nivastuli 在职认证  发表于 2018-7-31 23:30:17 |AI写论文

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This monograph presents the Gradient Discretisation Method (GDM), which is a unified convergence analysis framework for numerical methods for elliptic and parabolic partial differential equations. The results obtained by the GDM cover both stationary and transient models; error estimates are provided for linear (and some non-linear) equations, and convergence is established for a wide range of fully non-linear models (e.g. Leray–Lions equations and degenerate parabolic equations such as the Stefan or Richards models). The GDM applies to a diverse range of methods, both classical (conforming, non-conforming, mixed finite elements, discontinuous Galerkin) and modern (mimetic finite differences, hybrid and mixed finite volume, MPFA-O finite volume), some of which can be built on very general meshes.
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关键词:gradient Methods Method Satio ATION

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Springer - The Gradient Discretisation Methods (2018).pdf
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The Gradient Discretisation Methods

沙发
ktv55(未真实交易用户) 学生认证  发表于 2018-7-31 23:43:51
谢谢分享

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yangwag(未真实交易用户) 发表于 2018-8-1 18:25:05
很好,可以好好看看。

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caifacai(未真实交易用户) 发表于 2018-8-2 15:47:34
感谢分享好资源!

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