JournalsowrVol. 15, No. 2pp. 1161–1234

Nonlinear Data: Theory and Algorithms

  • Philipp Grohs

    Universität Wien, Austria

  • Oliver Sander

    Technische Universität Dresden, Germany

  • Jean-Luc Starck

    CEA Saclay, Gif-Sur-Yvette, France

  • Johannes Wallner

    Technische Universität Graz, Austria
Nonlinear Data: Theory and Algorithms cover
Download PDF

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.

Cite this article

Philipp Grohs, Oliver Sander, Jean-Luc Starck, Johannes Wallner, Nonlinear Data: Theory and Algorithms. Oberwolfach Rep. 15 (2018), no. 2, pp. 1161–1234

DOI 10.4171/OWR/2018/20