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Delta function approximations in level set methods by distance function extension

机译:通过距离函数扩展的水平集方法中的Delta函数近似

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摘要

In [A.-K. Tornberg, B. Engquist, Numerical approximations of singular source terms in differential equations, J. Comput. Phys. 200 (2004) 462-488], it was shown for simple examples that the then most common way to regularize delta functions in connection to level set methods produces inconsistent approximations with errors that are not reduced with grid refinement. Since then, several clever approximations have been derived to overcome this problem. However, the great appeal of the old method was its simplicity. In this paper it is shown that the old method - a one-dimensional delta function approximation extended to higher dimensions by a distance function - can be made accurate with a different class of one-dimensional delta function approximations. The prize to pay is a wider support of the resulting delta function approximations.
机译:在[A.-K. Tornberg,B。Engquist,微分方程中奇异源项的数值逼近,J。Comput。物理[J.Am.Chem.Soc.200(2004)462-488]中,通过简单的例子表明,当时最普通的与水平集方法相关的正则化三角函数的方法产生了不一致的近似值,其误差不会随着网格细化而减小。从那时起,已经提出了几种聪明的近似方法来克服这个问题。但是,旧方法的最大吸引力在于它的简单性。在本文中表明,使用另一类一维三角函数逼近可以使旧方法(通过距离函数扩展到更高维度的一维三角函数逼近)更加精确。支付的奖金是对所得增量函数近似值的更广泛支持。

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