二维整数标号的简单不动点算法

IF 0.1 Q4 MATHEMATICS, APPLIED
M. N. Matveev
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引用次数: 0

摘要

简单不动点算法可以基于整数或向量标签。整数标签算法的一个明显优势是,由于整数标签的离散性,它们在舍入误差下的简单性和稳定性。同时,现有的所有整数标签算法的应用都受到其结构的一定刚性的限制,特别是在d维空间中,它们只能承受从d +1到2维的标签。与空间维数相当的标签数量使得这些算法不是非常快,特别是在高维任务中。本文克服了这种刚性,建立了一种新的二维整数标记的简单不动点算法。为了达到这一目的,本文证明了三角剖分k1的一些新性质,并将所有不动点的逼近分为弱逼近和强逼近。这种分离,在此之前从未被使用过,是由新算法的大量标签引起的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simplicial Fixed Point Algorithm with 2d Integer Labels
Simplicial fixed point algorithms can be based on either integer or vector labels. An ap-parent advantage of the algorithms with integer labels is their simplicity and stability under round-off errors due to the discrete nature of integer labels. At the same time, the application of all existing algorithms with integer labels is limited by some rigidness of their construction, in particular, in the d -dimensional space they can bear only from d +1 to 2 d labels. The num-bers of labels comparable with the dimension of space make these algorithms not very fast, especially in high-dimensional tasks. This paper overcomes this rigidness and builds a new simplicial fixed point algorithm with 2 d integer labels. To achieve this goal, the paper proves new properties of triangulation K 1 and separates all approximations of fixed points into weak and strong ones. This separation, which has never been used until this moment, is caused by the high number of labels of the new algorithm.
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
0
审稿时长
17 weeks
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