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Titlebook: Topological Data Analysis for Scientific Visualization; Julien Tierny Book 2017 Springer International Publishing AG 2017 Topological Data

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樓主
發(fā)表于 2025-3-21 18:49:34 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Topological Data Analysis for Scientific Visualization
編輯Julien Tierny
視頻videohttp://file.papertrans.cn/927/926366/926366.mp4
概述84 color images, including 20 high quality illustrations in the background section, nicely introducing in images the key concepts of topological data analysis.Special chapter on application examples,
叢書名稱Mathematics and Visualization
圖書封面Titlebook: Topological Data Analysis for Scientific Visualization;  Julien Tierny Book 2017 Springer International Publishing AG 2017 Topological Data
描述.Combining theoretical and practical aspects of topology, this book provides a comprehensive and self-contained introduction to topological methods for the analysis and visualization of scientific data..Theoretical concepts are presented in a painstaking but intuitive manner, with numerous high-quality color illustrations. Key algorithms for the computation and simplification of topological data representations are described in detail, and their application is carefully demonstrated in a chapter dedicated to concrete use cases..With its fine balance between theory and practice, "Topological Data Analysis for Scientific Visualization" constitutes an appealing introduction to the increasingly important topic of topological data analysis for lecturers, students and researchers.. .?.
出版日期Book 2017
關(guān)鍵詞Topological Data Analysis; Scientific Visualization; Computational Topology; Morse Theory; Persistent Ho
版次1
doihttps://doi.org/10.1007/978-3-319-71507-0
isbn_softcover978-3-319-89079-1
isbn_ebook978-3-319-71507-0Series ISSN 1612-3786 Series E-ISSN 2197-666X
issn_series 1612-3786
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 22:36:41 | 只看該作者
Background,portant definitions and properties are highlighted with boxes. For further readings, the reader is referred to the excellent introduction to Computational Topology by Edelsbrunner and Harer (Computational Topology: An Introduction. American Mathematical Society, Providence, 2009).
板凳
發(fā)表于 2025-3-22 03:55:45 | 只看該作者
地板
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發(fā)表于 2025-3-22 13:09:44 | 只看該作者
Introduction,tions that showed that a majority of the dwarf galaxies which orbit the larger Andromeda galaxy was actually rotating in a very thin, common plane structure. These observations then contradicted the state-of-art models which assumed that dwarf galaxies’ locations followed an isotropic random distrib
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發(fā)表于 2025-3-22 17:09:45 | 只看該作者
Background,rmalized. Second, some of the core concepts of Topological Data Analysis are presented, including critical points, notions of Persistent Homology, Reeb graphs and Morse-Smale Complexes. Finally, a brief review of the state-of-the-art algorithms is presented. For the reader’s convenience, the most im
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發(fā)表于 2025-3-22 22:18:40 | 只看該作者
Abstraction,abstraction in scientific visualization. First, we present a combinatorial technique for the topological simplification of scalar data, given some user-defined or application-driven constraints. The algorithm slightly perturbs the input data such that only a constrained sub-set of critical points re
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發(fā)表于 2025-3-23 04:30:13 | 只看該作者
Interaction,ch for the interactive simplification of isosurfaces on non-simply connected domains, for visual exploration purposes. This approach is enabled by our fast Reeb graph computation algorithm, described in the previous chapter. Next, we present two algorithms for the editing of topological abstractions
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發(fā)表于 2025-3-23 05:39:57 | 只看該作者
Analysis,ise application problems, we describe how these algorithms can be adapted to conduct interactive data exploration and quantitative analysis. First, we describe how the split tree can be used to extract, enumerate and track flames through time in turbulent combustion simulations. While this approach
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