Konferenzen zum Thema Allgemeine wissenschaftliche Mathematik und fachübergreifende Veranstaltungen in Kanada

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CCREM — CMS COVID-19 Research and Education Meeting
13. Jul 2020 - 16. Jul 2020 • Virtual, Kanada
Canadian Mathematical Society
The pandemic has changed the way we plan, teach, and do research. The CMS COVID-19 meeting is an occasion for the community to come together, discuss these changes and map the way forward. A complete and detailed list of sessions and speakers is posted on the meeting website.
Event Organiser;     Email: meetings@cms.math.ca
K-12 Math Education, Math and Public Policy, Pandemic, Covid-19, Online Teaching, Grant Writing
Verwandte Fachgebiete:
2 Day Workshop at BIRS — Almost Periodicity in Aperiodic Order
24. Jul 2020 - 26. Jul 2020 • Banff, Alberta, Kanada
The theory of Aperiodic Order was stimulated by the discovery of quasicrystals in 1980s by Dan Shechtman, a discovery for which he was awarded the 2011 Nobel Prize in Chemistry. It built upon groundbreaking work of Yves Meyer and Roger Penrose from the 1970s, and major contributions were made by Jeffrey Lagarias and Robert Moody in the 1990s. This area of mathematics studies systems with long-range order, typically manifested by a large Bragg diffraction spectrum, but without translation symmetries. It connects seemingly different areas of mathematics, such as harmonic analysis, dynamical systems and ergodic theory, spectral theory, discrete geometry and Fourier analysis, to name just a few. This meeting will focus on the recent developments regarding the connection between almost periodicity, dynamical systems and aperiodic order.
Entropic Regularization of Optimal Transport and Applications
20. Jun 2021 - 25. Jun 2021 • Banff Centre in Alberta, Kanada
Banff International Research Station for Mathematical Innovation and Discovery (BIRS)
The mathematics of optimal transport (OT) has grown to become a unifying theme in many scientific disciplines, from solving purely mathematical problems of analysis, geometry, and partial differential equations to developing revolutionary new methods in economics, statistics, machine learning and artificial intelligence. In the last decade, the impact of optimal transport in the study of geometry was highlighted by two Fields medals (Villani 2010, Figalli 2018). On the other hand, OT has established itself as a viable alternative to classical maximum likelihood based methods in statistics and data science. Other notable applications include generative adversarial network (GAN) in machine learning (Wasserstein GAN), new applications to stem cell biology, and economic applications such as generalizations of the Nobel prize winning Gale-Shapley algorithm, online auctions, and option pricing.

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Stand vom 07. Juli 2020