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书目名称Mathematical Principles of Topological and Geometric Data Analysis影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0626522<br><br> <br><br>书目名称Mathematical Principles of Topological and Geometric Data Analysis影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0626522<br><br> <br><br>书目名称Mathematical Principles of Topological and Geometric Data Analysis网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0626522<br><br> <br><br>书目名称Mathematical Principles of Topological and Geometric Data Analysis网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0626522<br><br> <br><br>书目名称Mathematical Principles of Topological and Geometric Data Analysis被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0626522<br><br> <br><br>书目名称Mathematical Principles of Topological and Geometric Data Analysis被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0626522<br><br> <br><br>书目名称Mathematical Principles of Topological and Geometric Data Analysis年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0626522<br><br> <br><br>书目名称Mathematical Principles of Topological and Geometric Data Analysis年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0626522<br><br> <br><br>书目名称Mathematical Principles of Topological and Geometric Data Analysis读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0626522<br><br> <br><br>书目名称Mathematical Principles of Topological and Geometric Data Analysis读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0626522<br><br> <br><br>Morbid 发表于 2025-3-21 22:59:00
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Mathematical Principles of Topological and Geometric Data Analysis978-3-031-33440-5Series ISSN 2731-4103 Series E-ISSN 2731-4111conformity 发表于 2025-3-22 16:31:57
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Weighted Complexes, Cohomology and Laplace Operators,tors and their adjoints, Laplace type operators. The spectrum of a Laplace operator will encode important properties of the underlying geometric object, and therefore, in this chapter, we develop the spectral theory of such operators in an abstract manner.公猪 发表于 2025-3-22 22:18:57
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Metrics and Curvature, Our notion is very abstract and therefore also naturally applies to discrete metric spaces, as naturally emerging from data. We conclude by presenting a construction of a simplicial complex (typically infinite-dimensional) that as a topological object encodes all geometric properties of the metric that we want to represent.询问 发表于 2025-3-23 08:57:59
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