| Conference: Solving hard polynomial systemsSolving systems of polynomial equations is a challenging and ubiquitous problem in pure and applied mathematics. Algorithmic techniques for solving polynomial systems have been successfully employed to tackle problems from diverse areas such as biology, physics, and robotics. State-of-the-art algorithms are based on symbolic techniques, such as Gröbner bases, numerical methods, such as homotopy continuation, or use a mixed approach. This workshop has the aim to give hands on experience in applying these techniques and methods to explicit problems. Concretely, participants will spend the majority of the time at the workshop working in groups on specific questions to which techniques in polynomial system solving can be applied. These questions will be supplied by dedicated group leaders at the beginning of the workshop.
For some of the problem solving sessions it might be useful to have installed the newest version of the programming language Julia beforehand. It can be found at the official webpage: https://julialang.org/downloads/.
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| Conference: Statistics of Shapes and Geometry of Shape Spaces- Date: 12.04.2023 - 14.04.2023
- Location: Max Planck Institute for Mathematics in the Sciences, Inselstrasse 22, Leipzig (Germany)
- Organized by: Karen Habermann, Sayan Mukherjee, Max von Renesse, Stefan Horst Sommer
- More information:
 See the homepage of the Conference - Contact: Katharina Matschke
Statistics of shapes has a long tradition in medical image analysis and biology. This spans from classical landmark representations and Kendall's shape space to infinite dimensional shape spaces with rich geometric structures. Recent work has added stochastics and statistical inference for stochastic processes to the picture. Shape analysis, shape statistics, and shape stochastics give rise to new research directions in both pure and applied mathematics, and new developments have direct impact in applied fields such as evolutionary biology. The aim of the conference is to establish connections between the communities of shape analysis, differential geometry and statistics for stochastic processes. Focus will be on intersections between geometry including sub-Riemannian geometry, shape analysis, stochastic analysis, and applications in biology, including phylogenetic inference. |
| Summer school: Summer School on PDEs and Randomness- Date: 10.05.2023 - 24.05.2023
- Location: Max Planck Institute for Mathematics in the Sciences, Inselstrasse 22, Leipzig (Germany)
- Organized by: Rishabh Gvalani, Francesco Mattesini, Felix Otto, Markus Tempelmayr
- More information: See the homepage of the Summer school
- Contact: Katja Heid
The purpose of this summer school is to introduce young researchers to cutting-edge topics at the interface of PDEs and probability theory. Over the course of five mini-courses, leading researchers will present introductions to their areas of research:
- Roland Bauerschmidt (University of Cambridge)
- Bjoern Bringmann (Institute for Advanced Study/Princeton University)
- Mitia Duerinckx (Université Libre de Bruxelles/Université Paris-Saclay)
- Eva Kopfer (Rheinische Friedrich-Wilhelms-Universität Bonn)
- Nicolas Perkowski (Freie Unversität Berlin)
Additionally, there will be tutorial sessions organized by the junior participants with support from the organizers.
Funding towards travel and accommodation is available for early career participants such as postdoctoral researchers, PhD and master students.
Registration is closed. |
