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1
Variational Methods for Evolution
03 Dec 2023 - 09 Dec 2023 • Oberwolfach, Germany
Organizer:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Event listing ID:
1495306
Related subject(s):
2
Dagstuhl-Seminar — Triangulations in Geometry and Topology
11 Feb 2024 - 16 Feb 2024 • Schloss Dagstuhl, Wadern, Germany
Organizer:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Abstract:
The mathematical study of fundamental objects such as curves, embedded graphs, surfaces and 3-manifolds has a rich and old history. Research into their algorithmic and combinatorial properties, and underlying computational questions, on the other hand, is still young. From the complexity-theoretic side important open problems are hardness of realizability, fine-grained complexity of distance and similarity measure computations, existence of polynomial-time algorithms for flip distances, or approximability of such distances. Combinatorics and algebra come into play when dealing with associated polyhedral structures such as associahedra and secondary polytopes, and mapping class groups of surfaces. Moreover, applied fields such as trajectory analysis and machine learning yield new questions and perspectives.
Event listing ID:
1565620
Related subject(s):
3
Dagstuhl-Seminar — Computational Approaches to Strategy and Tactics in Sports
18 Feb 2024 - 23 Feb 2024 • Schloss Dagstuhl, Wadern, Germany
Organizer:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Abstract:
The past decade has seen a rapid growth in the ability to collect large-scale spatiotemporal data sets about sports. Ideally, such data should be used to inform strategic and tactical decision making. On the one hand, strategy is the long-term planning of training sessions, signing of coaches and athletes, rotation and the plan made before a match/race. On the other hand, tactics are short-term and involve the execution and adaptation to the match/race plan. Having insights into the efficacy and feasibility of strategies and tactics is particularly important and challenging within sports because effective and novel strategy & tactics allow weaker teams or athletes to win against stronger ones. Unfortunately, the size, richness, and complexity of modern spatiotemporal sports data means that automated analysis is essential. Alas, the nature of the data has posed a number of challenges for classic analysis techniques. This has spurred the development of novel statistical and machine learning techniques in order to perform more fine-grained analysis of every action and decision during a competitive event. In this Dagstuhl Seminar, we aim to bring together sports researchers in academia and industry to understand how they are using machine learning and statistical techniques to analyze strategy and tactics.
Event listing ID:
1565696
4
Mechanics of Materials: Multiscale Design of Advanced Materials and Structures
03 Mar 2024 - 08 Mar 2024 • Oberwolfach, Germany
Organizer:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Event listing ID:
1529521
5
Nonlinear Optics: Physics, Analysis, and Numerics
10 Mar 2024 - 15 Mar 2024 • Oberwolfach, Germany
Organizer:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Event listing ID:
1529530
6
Model Hierarchies in Atmosphere, Ocean, and Climate Sciences
30 Jun 2024 - 05 Jul 2024 • Oberwolfach, Germany
Organizer:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Event listing ID:
1529681
Related subject(s):


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Last updated: 19 July 2023