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This book focuses on the modeling, processing and visualization of anisotropy, irrespective of the context in which it emerges, using state-of-the-art mathematical tools. As such, it differs substantially from conventional reference works, which are centered on a particular application. It covers the following topics: (i) the geometric structure of tensors, (ii) statistical methods for tensor field processing, (iii) challenges in mapping neural connectivity and structural mechanics, (iv) processing of uncertainty, and (v) visualizing higher-order representations. In addition to original research contributions, it provides insightful reviews.
This multidisciplinary book is the sixth in a series that aims to foster scientific exchange between communities employing tensors and other higher-order representations of directionally dependent data. A significant number of the chapters were co-authored by the participants of the workshop titled Multidisciplinary Approaches to MultivaluedData: Modeling, Visualization, Analysis, which was held in Dagstuhl, Germany in April 2016.It offers a valuable resource for those working in the field of multi-directional data, vital inspirations for the development of new models, and essential analysis and visualization techniques, thus furthering the state-of-the-art in studies involving anisotropy.
Produkteigenschaften
- Artikelnummer: 9783319613574
- Medium: Buch
- ISBN: 978-3-319-61357-4
- Verlag: Springer International Publishing
- Erscheinungstermin: 15.10.2017
- Sprache(n): Englisch
- Auflage: 1. Auflage 2017
- Serie: Mathematics and Visualization
- Produktform: Gebunden
- Gewicht: 7509 g
- Seiten: 407
- Format (B x H x T): 160 x 241 x 29 mm
- Ausgabetyp: Kein, Unbekannt