Topological Data Analysis: The Abel Symposium 2018

Author:   Nils A. Baas ,  Gunnar E. Carlsson ,  Gereon Quick ,  Markus Szymik
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   15
ISBN:  

9783030434076


Pages:   515
Publication Date:   26 June 2020
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Topological Data Analysis: The Abel Symposium 2018


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Overview

"This book gathers the proceedings of the 2018 Abel Symposium, which was held in Geiranger, Norway, on June 4-8, 2018. The symposium offered an overview of the emerging field of ""Topological Data Analysis"". This volume presents papers on various research directions, notably including applications in neuroscience, materials science, cancer biology, and immune response. Providing an essential snapshot of the status quo, it represents a valuable asset for practitioners and those considering entering the field."

Full Product Details

Author:   Nils A. Baas ,  Gunnar E. Carlsson ,  Gereon Quick ,  Markus Szymik
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   15
Weight:   0.957kg
ISBN:  

9783030434076


ISBN 10:   3030434079
Pages:   515
Publication Date:   26 June 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

A fractal dimension for measures via persistent homology.- DTM-based filtrations.- Persistence diagrams as diagrams: a categorification of the stability theorem.- The persistence landscape and some of its properties.- Topological approaches to deep learning.- Topological data analysis of single-cell Hi-C contact maps.- Neural ring homomorphisms and maps between neural codes.- Radius functions on Poisson–Delaunay mosaics and related complexes experimentally.- Iterated integrals and population time series analysis.- Prediction in cancer genomics using topological signatures and machine learning.- Topological adventures in neuroscience.- Percolation on homology generators in codimension one.- Hyperplane neural codes and the polar complex.- Analysis of dynamic graphs and dynamic metric spaces via zigzag persistence.- Canonical stratifications along bisheaves.- Inverse problems in topological persistence.- Sparse circular coordinates via principal Z-bundles.- Same but different: distance correlations between topological summaries.- Certified mapper: repeated testing for acyclicity and obstructions to the nerve lemma. 

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