Nonlinear Data: Theory and Algorithms
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Date
2018
Authors
Volume
20
Issue
Journal
Series Titel
Oberwolfach reports : OWR
Book Title
Publisher
Zürich : EMS Publ. House
Link to publishers version
Abstract
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.
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Citation
Nonlinear Data: Theory and Algorithms (Zürich : EMS Publ. House). (2018). https://doi.org//10.14760/OWR-2018-20
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This document may be downloaded, read, stored and printed for your own use within the limits of § 53 UrhG but it may not be distributed via the internet or passed on to external parties.
This document may be downloaded, read, stored and printed for your own use within the limits of § 53 UrhG but it may not be distributed via the internet or passed on to external parties.