Overview
- Includes contributions ranging from the purely theoretical to computations and applications
- Contains papers accessible to a broad audience of researchers
- Features a gender-diverse slate of contributing authors
Part of the book series: Association for Women in Mathematics Series (AWMS, volume 30)
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Table of contents (12 chapters)
Keywords
About this book
Some of the featured topics include topological data analysis of power law structure in neural data; a nerve theorem for directional graph covers; topological or homotopical invariantsfor directed graphs encoding connections among a network of neurons; and the issue of approximation of objects by digital grids, including precise relations between the persistent homology of dual cubical complexes.
Editors and Affiliations
About the editors
Vanessa Robins is an Associate Professor in the Research School of Physics at the Australian National University. Her research develops new ways of applying mathematical concepts to applications in the natural sciences. She has made foundational contributions to the mathematical theory and algorithms for computing persistent homology from data. Dr Robins has co-authored over 40 papers and studied applications in image analysis, porous and granular materials, crystallography, engineered framework materials, dynamical systems and plant sciences.
Katharine Turner is a Senior Lecturer in the Mathematical Sciences Institute at The Australian National University. Her research focuses topological, geometric and statistical theory relating to topological data analysis, alongside motivating applications such as morphology, point pattern analysis and neuroscience.
Bibliographic Information
Book Title: Research in Computational Topology 2
Editors: Ellen Gasparovic, Vanessa Robins, Katharine Turner
Series Title: Association for Women in Mathematics Series
DOI: https://doi.org/10.1007/978-3-030-95519-9
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-95518-2Published: 11 May 2022
Softcover ISBN: 978-3-030-95521-2Published: 12 May 2023
eBook ISBN: 978-3-030-95519-9Published: 10 May 2022
Series ISSN: 2364-5733
Series E-ISSN: 2364-5741
Edition Number: 1
Number of Pages: XII, 294
Number of Illustrations: 13 b/w illustrations, 107 illustrations in colour
Topics: Algebraic Topology, Computer Science, general, Statistics, general, Category Theory, Homological Algebra, Topology