Variational Analysis on the Signed Distance Functions

Variational Analysis on the Signed Distance Functions
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有符号距离函数的变分分析

DOI:
10.1007/s10957-018-1414-2
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发表时间:
2018-10
影响因子:
1.9
通讯作者:
Brett Lukens
Brett Lukens
中科院分区:
数学3区
文献类型:
--
作者:
Honglin Luo;Xianfu Wang;Brett Lukens

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度量空间中一个集合的带符号距离函数(或定向距离函数)。确定给定点到集合边界的距离,其符号由该点是在集合中还是在其补集合中确定。符号距离函数的知识在碰撞检测、二值分类、形状分析、模糊数排序和水平集方法等应用数学的各个领域都是非常有价值的信息。符号距离函数的一个显著特征是它比距离函数更好地反映了集合的几何结构。我们探讨了许多有趣的分析特性的签署。距离函数,并用它们来构造凸函数,而不是凸次微分。域。文中给出了几个例子来说明其中的大部分fine.properties
The signed distance function (or oriented distance function) of a set in a metric space.determines the distance of a given point from the boundary of the set, with the sign.determined by whether the point is in the set or in its complement. The knowledge of.signed distance functions is a very valuable information in various fields of applied.mathematics such as collision detection, binary classification, shape analysis, fuzzy.numbers ranking and level set methods. One distinguished feature of the signed distance.function is that it reflects the geometric structure of the set much better than the.distance function does. We explore many interesting analytical properties of signed.distance functions and use them to construct convex functions with not convex subdifferential.domains. Several examples are presented to illustrate most of these fine.properties
DOI: 10.1137/140979654
发表时间: 2015-11
期刊: SIAM J. Optim.
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