Modeling Analysis and Visualization of Anisotropy is popular PDF and ePub book, written by Thomas Schultz in 2017-10-14, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Modeling Analysis and Visualization of Anisotropy can be Read Online from any device for your convenience.

Modeling Analysis and Visualization of Anisotropy Book PDF Summary

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.

Detail Book of Modeling Analysis and Visualization of Anisotropy PDF

Modeling  Analysis  and Visualization of Anisotropy
  • Author : Thomas Schultz
  • Release : 14 October 2017
  • Publisher : Springer
  • ISBN : 9783319613581
  • Genre : Mathematics
  • Total Page : 406 pages
  • Language : English
  • PDF File Size : 21,9 Mb

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