• Media type: E-Article
  • Title: Nonlinear Data: Theory and Algorithms : 22.04.2018 - 28.04.2018
  • Contributor: Grohs, Philipp [HerausgeberIn]; Sander, Oliver [HerausgeberIn]; Starck, Jean-Luc [HerausgeberIn]; Wallner, Johannes [HerausgeberIn]
  • imprint: [Publ. Date 11 April 2019]
  • Published in: Oberwolfach reports ; 2018
    Oberwolfach reports ; 2018,15,20
    Oberwolfach Workshop ; 1817
  • Language: English
  • DOI: 10.14760/OWR-2018-20
  • ISSN: 1660-8941
  • Identifier:
  • Origination:
  • Footnote:
  • Description: 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.
  • Access State: Open Access