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Newton's Method and Secant Method for Set-Valued Mappings

机译:集值映射的牛顿法和割线法

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For finding zeros or fixed points of set-valued maps, the fact that the space of convex, compact, nonempty sets of R~n is not a vector space presents a major disadvantage. Therefore, fixed point iterations or variants of Newton's method, in which the derivative is applied only to a smooth single-valued part of the set-valued map, are often applied for calculations. We will embed the set-valued map with convex, compact images (i.e. by embedding its images) and shift the problem to the Ba-nach space of directed sets. This Banach space extends the arithmetic operations of convex sets and allows to consider the Frechet-derivative or divided differences of maps that have embedded convex images. For the transformed problem, Newton's method and the secant method in Banach spaces are applied via directed sets. The results can be visualized as usual nonconvex sets in R~n.
机译:为了找到集值映射的零点或不动点,R_n的凸,紧致,非空集的空间不是矢量空间这一事实构成了一个主要缺点。因此,通常将牛顿方法的定点迭代或变体(其中仅将导数应用于集值映射的平滑单值部分)进行计算。我们将用凸的紧凑图像嵌入集值映射(即通过嵌入其图像)并将问题转移到有向集的Ba-nach空间。该Banach空间扩展了凸集的算术运算,并允许考虑具有嵌入式凸图像的贴图的Frechet导数或除法差。对于变换后的问题,通过有向集应用Banach空间中的牛顿法和割线法。结果可以像R〜n中通常的非凸集一样可视化。

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