Browsing Workshops 2021 by Title
Now showing items 54-59 of 59
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2139 - Singularities (hybrid meeting)
[OWR-2021-47] (2021) - (26 Sep - 02 Oct 2021)Singularity theory concerns local and global structure of singularities of (algebraic) varieties and maps. As such, it combines tools from algebraic geometry, complex analysis, topology, algebra and combinatorics. -
2135a - Small Collaboration: Advanced Numerical Methods for Nonlinear Hyperbolic Balance Laws and Their Applications (hybrid meeting)
[OWR-2021-41] (2021) - (29 Aug - 04 Sep 2021)This small collaborative workshop brought together experts from the Sino-German project working in the field of advanced numerical methods for hyperbolic balance laws. These are particularly important for compressible ... -
2115a - Small Collaboration: Modeling Phenomena from Nature by Hyperbolic Partial Differential Equations (hybrid meeting)
[OWR-2021-19] (2021) - (11 Apr - 17 Apr 2021)Nonlinear hyperbolic partial differential equations constitute a plethora of models from physics, biology, engineering, etc. In this workshop we cover the range from modeling, mathematical questions of well-posedness, ... -
2112a - Small Collaboration: Numerical Analysis of Electromagnetic Problems (hybrid meeting)
[OWR-2021-16] (2021) - (21 Mar - 27 Mar 2021)The classical theory of electromagnetism describes the interaction of electrically charged particles through electromagnetic forces, which are carried by the electric and magnetic fields. The propagation of the electromagnetic ... -
2103 - Spatial Networks and Percolation (hybrid meeting)
[OWR-2021-4] (2021) - (17 Jan - 23 Jan 2021)The classical percolation problem is to find whether there is an infinite connected component in a random set created by removing edges from a d-dimensional lattice, independently at random. Since its introduction into ... -
2140a - Statistics of Stochastic Differential Equations on Manifolds and Stratified Spaces (hybrid meeting)
[OWR-2021-48] (2021) - (03 Oct - 09 Oct 2021)Statistics for stochastic differential equations (SDEs) attempts to use SDEs as statistical models for real-world phenomena. This involves an understanding of qualitative properties of this class of stochastic processes ...