Cantitate/Preț
Produs
Total produse
Vezi coșul
Topological Data Analysis: The Abel Symposium 2018 de Nils A. Baas

Topological Data Analysis: The Abel Symposium 2018: Abel Symposia, cartea 15

Editat de Nils A. Baas, Gunnar E. Carlsson, Gereon Quick, Markus Szymik, Marius Thaule
en Limba Engleză Paperback – 26 iun 2021
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.




Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 133701 lei  6-8 săpt.
  Springer International Publishing – 26 iun 2021 133701 lei  6-8 săpt.
Hardback (1) 134307 lei  6-8 săpt.
  Springer International Publishing – 26 iun 2020 134307 lei  6-8 săpt.

Din seria Abel Symposia

Preț: 133701 lei

Preț vechi: 163050 lei
-18% Nou

Puncte Express: 2006
Preț estimativ în valută:
23659€ • 27743$ • 20778£

Carte tipărită la comandă

Livrare economică 09-23 februarie 26

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783030434106
ISBN-10: 3030434109
Pagini: 515
Ilustrații: XIV, 515 p. 199 illus., 146 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.74 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Abel Symposia

Locul publicării:Cham, Switzerland

Cuprins

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.