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Topological Data Analysis for Scientific Visualization / by Julien Tierny
(Mathematics and Visualization. ISSN:2197666X)
版 | 1st ed. 2017. |
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出版者 | Cham : Springer International Publishing : Imprint: Springer |
出版年 | 2017 |
本文言語 | 英語 |
大きさ | XV, 150 p. 84 illus. in color : online resource |
著者標目 | *Tierny, Julien author SpringerLink (Online service) |
件 名 | LCSH:Information visualization LCSH:Topology LCSH:Image processing -- Digital techniques 全ての件名で検索 LCSH:Computer vision LCSH:Algorithms LCSH:Computer science -- Mathematics 全ての件名で検索 LCSH:Discrete mathematics LCSH:Computer software FREE:Data and Information Visualization FREE:Topology FREE:Computer Imaging, Vision, Pattern Recognition and Graphics FREE:Algorithms FREE:Discrete Mathematics in Computer Science FREE:Mathematical Software |
一般注記 | 1. Introduction -- 2. Background: 2.1 Data representation -- 2.2 Topological abstractions -- 2.3 Algorithms and applications -- 3. Abstraction: 3.1 Efficient topological simplification of scalar fields -- 3.2 Efficient Reeb graph computation for volumetric meshes -- 4. Interaction: 4.1 Topological simplification of isosurfaces -- 4.2 Interactive editing of topological abstractions -- 5. Analysis: 5.1 Exploration of turbulent combustion simulations -- 5.2 Quantitative analysis of molecular interactions -- 6. Perspectives: 6.1 Emerging constraints -- 6.2 Emerging data types -- 7. Conclusion Combining theoretical and practical aspects of topology, this book delivers a comprehensive and self-contained introduction to topological methods for the analysis and visualization of scientific data. Theoretical concepts are presented in a thorough but intuitive manner, with many high-quality color illustrations. Key algorithms for the computation and simplification of topological data representations are described in details, and their application is carefully illustrated 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 HTTP:URL=https://doi.org/10.1007/978-3-319-71507-0 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783319715070 |
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電子リソース |
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EB00229288 |
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データ種別 | 電子ブック |
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分 類 | LCC:QA76.9.I52 DC23:001.4226 |
書誌ID | 4000116786 |
ISBN | 9783319715070 |
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※2017年9月4日以降