Modeling, Analysis, And Visualization Of Anisotropy (mathematics And Visualization)
by Thomas Schultz /
2017 / English / PDF
29.3 MB Download
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 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.
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.
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.
