数学
度量(数据仓库)
理论(学习稳定性)
Hausdorff测度
豪斯多夫空间
豪斯多夫距离
纯数学
组合数学
数学分析
豪斯多夫维数
数据挖掘
机器学习
计算机科学
作者
Keonhee Lee,C. A. Morales,Ngocthach Nguyen
出处
期刊:Nonlinearity
[IOP Publishing]
日期:2024-03-01
卷期号:37 (4): 045005-045005
标识
DOI:10.1088/1361-6544/ad2b12
摘要
Abstract Variational formulae for the Gromov–Hausdorff distances of compact metric spaces and their continuous maps are obtained. Also, a notion of µ-topological GH-stability on metric-measure spaces with probability µ is given. We prove that every expansive map with the weak µ -shadowing property (Lee and Rojas 2022 Russ. J. Nonlinear Dyn. 18 297–307) is µ -topologically GH-stable.
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