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arXiv 1602.04784math.NAcs.NAmath.APphysics.comp-ph
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关于不连续伽辽金方法在超几何方程数值模拟中的注释

Notes on the Discontinuous Galerkin methods for the numerical simulation of hyperbolic equations 1 General Context 1.1 Bibliography

Adam Larat

AI总结:

本文综述了不连续伽辽金方法的发展历程及其在偏微分方程数值求解中的应用,探讨了其在高阶精度和守恒性方面的进展。

摘要:

不连续伽辽金(DG)方法的起源通常归因于Reed和Hills在1973年发表的关于中子输运方程数值近似论文[18]。事实上,该方法真正的发展始于80年代末Cockburn和Shu发表的五篇论文[7, 5, 9, 6, 8]。随后,该方法作为有限元和有限体积方法的折中方案,逐渐在偏微分方程的数值积分领域得到广泛应用。特别地,可以引用处理对流-扩散方程的奠基论文[4, 3]或纯椭圆方程的处理方法[2, 17]。更多关于DG方法历史的信息,请参阅[15]第1.1节。如今,DG方法被广泛应用于各种领域,并在应用数学的几乎所有领域都有应用。(TODO:引用应用实例和结构化/非结构化网格、稳态/非稳态等)。该方法如今已成熟到足以值得整套教材,其中我引用了Henthaven和Warburton关于节点DG方法的参考书[15],其基础是DG积分、其线性行为的数值分析以及向多维推广。最近,自2010年以来,得益于Zhang和Shu[26, 27, 25, 28, 29]的基础工作,DG方法最终能够结合高阶精度和某些守恒约束的保持,如给定量的正性。这些新的进展非常有前景,因为它们使我们非常接近“终极守恒方案”[23, 1]。

英文摘要:

The roots of Discontinuous Galerkin (DG) methods is usually attributed to Reed and Hills in a paper published in 1973 on the numerical approximation of the neutron transport equation [18]. In fact, the adventure really started with a rather thoroughfull series of five papers by Cockburn and Shu in the late 80's [7, 5, 9, 6, 8]. Then, the fame of the method, which could be seen as a compromise between Finite Elements (the center of the method being a weak formulation) and Finite Volumes (the basis functions are defined cell-wise, the cells being the elements of the primal mesh) increased and slowly investigated successfully all the domains of Partial Differential Equations numerical integration. In particular, one can cite the ground papers for the common treatment of convection-diffusion equations [4, 3] or the treatment of pure elliptic equations [2, 17]. For more information on the history of Discontinuous Galerkin method, please refer to section 1.1 of [15]. Today, DG methods are widely used in all kind of manners and have applications in almost all fields of applied mathematics. (TODO: cite applications and structured/unstructured meshes, steady/unsteady, etc...). The methods is now mature enough to deserve entire text books, among which I cite a reference book on Nodal DG Methods by Henthaven and Warburton [15] with the ground basis of DG integration, numerical analysis of its linear behavior and generalization to multiple dimensions. Lately, since 2010, thanks to a ground work of Zhang and Shu [26, 27, 25, 28, 29], Discontinuous Galerkin methods are eventually able to combine high order accuracy and certain preservation of convex constraints, such as the positivity of a given quantity, for example. These new steps forward are very promising since it brings us very close to the "Ultimate Conservative Scheme", [23, 1].

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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