BIRS workshop: Combinatorial and Geometric Discrepancy
computational geometry discrete mathematics dynamical systems
Banff International Research Station
Audience: | Researchers in the topic |
Conference dates: | 30-Sep-2020 to 02-Oct-2020 |
Curator: | BIRS Programme Coordinator* |
*contact for this listing |
Discrepancy theory is concerned with the existence and the construction of configurations which exhibit a high degree of regularity or uniformity. A classical example is the case of finite point sets in Euclidean space, where the degree of regularity is measured by comparing the number of points contained in an axis-parallel test box to the volume of the box, and then taking the maximal deviation among all test boxes. The notion of discrepancy has been generalized to many different settings and the concept has been fruitfully used in convex and computational geometry, numerical analysis, combinatorics and theoretical computer science, to name just a few areas. For example the notion of discrepancy with respect to boxes above is closely related to combinatorial discrepancy, which is itself closely related to vector balancing problems amenable to tools from geometric convex analysis. These connections also raise algorithmic questions, which have seen much recent progress again using tools from geometry and high-dimensional probability. Another example of connections between discrepancy and other areas of mathematics is provided by constructions of low-discrepancy sequences using orbits of ergodic maps, with connections to Teichmueller theory and classical ergodic theory.
Unfortunately, sometimes these various connections are underexplored because of insufficient interaction between different communities. With the current workshop, we will bring together leading scientists from different mathematical disciplines working on discrepancy-related problems, to present their work and methods in a way which is accessible for mathematicians from other disciplines. We further invite young researchers to participate. They will be presented with a wide panorama of discrepancy-related topics in an attractive and accessible way. Our goal is for the workshop to lead to new and fruitful collaborations across old-established borders of mathematical communities, and have a lasting impact on the development of many young researchers.
Your time | Speaker | Title | |||
---|---|---|---|---|---|
Fri | Oct 02 | 15:15 | Lily Li | On the Computational Complexity of Linear Discrepancy | |
Fri | Oct 02 | 14:50 | Victor Reis | Vector Balancing in Lebesgue Spaces | |
Fri | Oct 02 | 14:25 | Mathias Sonnleitner | (Non-)optimal point sets for numerical integration | |
Fri | Oct 02 | 14:00 | Ujue Etayo | A deterministic set of spherical points with small discrepancy | |
Wed | Sep 30 | 15:40 | Hendrik Pasing | Improved Discrepancy Bounds and Estimates | |
Wed | Sep 30 | 15:15 | Tetiana Stepaniuk | Hyperuniformity of point set sequences | |
Wed | Sep 30 | 14:50 | Sebastian Neumayer | Curve Based Approximation of Images on Manifolds | |
Wed | Sep 30 | 14:25 | Samantha Fairchild | Families of well-approximable measures | |
Wed | Sep 30 | 14:00 | Ryan Alweiss | Discrepancy Minimization via a Self-Balancing Walk |