Veranstaltungskalender Juli 2018

3 Einträge gefunden

• 12. Juli

  17:00 - 18:00
  

  Ort: 48-436
  AG Algebra, Geometrie und Computer Algebra

  Madeleine Whybrow, TU KL: Constructing Majorana representations

  Kategorie: AG Algebra, Geometrie und Computeralgebra

  Majorana theory is an axiomatic framework to study objects related to the Monster group and its 196884 dimensional representation, the Griess algebra. The objects at the centre of the theory are known as Majorana algebras and can be studied either in their own right, or as Majorana representations of certain groups. Inspired by a paper of A. Seress, and joint with M. Pfeiffer, I have developed an algorithm in GAP to construct the Majorana representations of a given group. I will present the methods of this work as well as some consequences and results. I will also discuss future theoretical and computational approaches to the study of Majorana and axial algebras.
• 16. Juli

  09:00 - 10:30
  

  Ort: 48-210
  Graduate School

  Rottner, Cornelia: Algorithmic Methods for Mixed Hodge Modules

  Kategorie: Disputationen, Graduate School
• 19. Juli

  10:00 - 11:30
  

  Ort: 32-349
  AG Scientific Computing, Prof. Gauger

  Dr. S. Schmidt, Uni Würzburg: Large Scale Geometric Inverse Problems and High Performance Computing

  Kategorie: AG Technomathematik

  The primary concern of the presentation is geometric inverse problems governed by hyperbolic partial differential equations, meaning we are interested in reconstructing geometric objects such that they reproduce a measured echo of a scanning wave. There are a wide applications for problems of this type, including CFD, computational acoustics, Electrodynamics and mathematical imaging. We also study non-smooth problems that arise naturally when objects with kinks are to be reconstructed. To this end, we consider using Fenchel Duality and Raviart--Thomas spaces for Total Variation denoising of surfaces. The presentation concludes with numerical examples where FEM solvers are interfaced with 3D scanners to conduct denoising of real world objects and novel edge preserving mesh denoising techniques.