Modeling, Analysis, and Visualization of Anisotropy (Hardcover, 1st ed. 2017)

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 Multivalued Data: 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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Mathematics and Visualization
Release date:	October 2017
First published:	2017
Editors:	Thomas Schultz • Evren Ozarslan • Ingrid Hotz
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	407
Edition:	1st ed. 2017
ISBN-13:	978-3-319-61357-4
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
LSN:	3-319-61357-X
Barcode:	9783319613574

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