Nonlinear data: theory and algorithms. Abstracts from the workshop held April 22--28, 2018
type: Item
instance of: scholarly article
title: Nonlinear data: theory and algorithms. Abstracts from the workshop held April 22--28, 2018
zbMATH Open document ID: 1409.00092
DOI: 10.4171/OWR/2018/20
published in: Oberwolfach Reports
publication date: 2019-06-07T00:00:00Z
review text: Summary: Techniques and concepts from differential geometry are used in many parts of applied mathematics today. However, there is no joint community for users of such techniques. The workshop on Nonlinear Data assembled researchers from fields like numerical linear algebra, partial differential equations, and data analysis to explore differential geometry techniques, share knowledge, and learn about new ideas and applications.
Mathematics Subject Classification ID: 00B05
Mathematics Subject Classification ID: 00B25
Mathematics Subject Classification ID: 53-06
Mathematics Subject Classification ID: 65-06
Mathematics Subject Classification ID: 65D18
Mathematics Subject Classification ID: 53B21
Mathematics Subject Classification ID: 62-06
Mathematics Subject Classification ID: 35-06
Mathematics Subject Classification ID: 65Fxx
Mathematics Subject Classification ID: 62Hxx
Mathematics Subject Classification ID: 62-07
zbMATH DE Number: 7064004
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.4171/owr/2018/20
OpenAlex ID: W2935905234
Wikidata QID: Q128068506
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description: scientific article