Overview
- 15 chapters written by experts in their fields give a comprehensive overview of the modern theory of tensor valuations
- Includes new yet unpublished results that make this volume an up-to-date survey of valuation theory
- Chapters on applications of tensor valuations deepen understanding and emphasize the usefulness of theoretical concepts
Part of the book series: Lecture Notes in Mathematics (LNM, volume 2177)
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Table of contents (15 chapters)
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Tensor Valuations and Their Applications in Stochastic Geometry and Imaging
Editors: Eva B. Vedel Jensen, Markus Kiderlen
Series Title: Lecture Notes in Mathematics
DOI: https://doi.org/10.1007/978-3-319-51951-7
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-51950-0Published: 12 June 2017
eBook ISBN: 978-3-319-51951-7Published: 10 June 2017
Series ISSN: 0075-8434
Series E-ISSN: 1617-9692
Edition Number: 1
Number of Pages: XIV, 462
Number of Illustrations: 9 b/w illustrations, 16 illustrations in colour
Topics: Geometry, Manifolds and Cell Complexes (incl. Diff.Topology), Probability Theory and Stochastic Processes