Konferenzen zum Thema Angewandte Mathematik (allgem.) in Kanada

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

Partial differential equations arise ubiquitously as laws of physics and other mathematical models across the scientific and engineering disciplines. The solutions to these equations describe the behavior of the systems modeled by the equations, but very often the solutions are too complicated to be found exactly. As an example from one of many disciplines, equations governing the flow of liquids or gases can be simple to write down, but solutions corresponding to extremely intricate turbulent motions of the fluids are impossible to find. One approach in such cases is to use powerful computers to approximate single solutions. A second complementary approach is to seek mathematical statements that give only partial information about solutions but that apply broadly to all possible solutions. This Focused Research Group aims to improve and apply methods that take the latter approach. This will be done by using recently developed tools from the field of optimization to solve research questions in the field of partial differential equations. This requires bringing together researchers in both of these largely separate mathematical disciplines, which is made possible by the BIRS Focused Research Group program.

Interfacial phenomena are observed in many fields of sciences, such as chemistry, physics, biology and medicine. Examples include formation and motion of phase boundaries in multi-phase materials, propagation of population waves in ecology, and so on. This workshop focuses, among other things, on interfacial phenomena in complex environments, such as those in spatially and/or temporally heterogeneous media, those in random environments, and those in the presence of obstacles. We also focus on interfacial phenomena in biology and those related to geometry. We aim at developing new mathematical framework to deepen our understanding of those complex interfacial phenomena.

University of Saskatchewan

The Canadian Conference on Computational Geometry (CCCG) is a forum to disseminate and discuss new theoretical and applied results in discrete and computational geometry. CCCG focuses on the design of efficient algorithms, the development of software, and the study of the mathematical foundations of computational problems whose formulations involve geometric constraints. The field of computational geometry is motivated by problems from a broad range of application areas, as diverse as computer graphics and animation, computer vision, computer-aided design and manufacturing, geographic information systems, pattern recognition, wireless communications, robotics, protein folding, urban planning, graph drawing, or statistical analysis.

Geometrie und Topologie,    Algorithmen

Causal inference is a central pillar of many scientific disciplines. Motivated by applications in different scientific fields, there has been tremendous progress in causal inference in the last twenty years. At the same time, the era of big data has presented the field with massive, heterogeneous and complex data sets, posing further challenges. It is therefore crucial and timely to bring together the researchers from both ends, in order to share recent advances, to identify pressing problems, to spark productive collaborations, and to ultimately advance the state of the art by developing new theory and methods for causal inference with big data.

The purpose of this workshop is to bring together researchers in mathematics and statistics to discuss the next generation of problems evolving from the analysis of time series and spatiotemporal data using multitaper methods.

One of the key technologies emerging in the 21st century is that of advanced materials, which offer the opportunity to change our lives in many ways, from improving energy efficiency through enabling new biomedical treatments and devices. In order to harness these materials, though, significant progress is needed in developing our understanding of how they work and interact, across scales ranging from those of atoms and molecules through the full size of devices constructed from them. Across the fields of experimentalists, materials scientists, and computational scientists focusing on active biological tissue, significant research is now underway in understanding the properties of both natural and engineered materials across these scales. This workshop brings together experts with distinct views on these materials and devices, aiming to seed the cross-disciplinary research needed to realize their potential to gain new knowledge on active biological materials and to best exploit it. We will bring together a diverse group of world-leading researchers focusing on discussions on the advances currently being made and the collaborations needed to fully unlock the transformative power of advanced materials by using biological active materials as role models.

Festkörperphysik,    Computerphysik und Numerische Simulation

This interdisciplinary workshop brings together engineers and researchers from numerical mathematics, statistics, and environmental sciences, to develop and innovate on the assimilation and inverse methods to address the specific issues related to atmospheric composition and chemistry. It will also be a forum to train new scientists in this emerging field, and to promote the research towards new operational monitoring products.

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

This workshop will address emerging challenges in human-environment interactions. Ecosystem services are under threat due to human activities. We will model feedbacks between the environment and human behaviour with a view to illuminating the mathematical structures that govern interactions. Our goal is to develop methods that can suggest a path forward in improving the interactions between humans and the environment.

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

The physical sciences have entered the era of big data, and particle physics is no exception. Extremely powerful particle colliders, telescopes observing light across the energy spectrum, and precise underground experiments have been running for years and have produced remarkably detailed and complex data sets. While no definitive signal of new physics has yet emerged from these experiments, it is quite possible that hints of new phenomena are hidden in these results, only missed due to the limitations of our analysis methods. In this workshop, we will bring together statisticians and physicists to discuss novel methods of data analysis, with a focus on machine learning, in which computers are programmed to think in ways akin to humans. We will launch the development of new computer tools that will allow us to overcome current computational limitations and fully test particle physics theories against all available data, potentially leading to discoveries that will shed light on some of the most profound questions in physics.

Kurse und Veranstaltungen für Studenten der Mathematik,    Computerphysik und Numerische Simulation

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

This workshop will have a special focus on control theory and control systems. Control theory deals with the problem of shaping the behavior of ``systems,'' where a system can be an engineered object, such as a robot or a train, or a natural one, such as a flock of birds or even the brain. The basic driving questions are how to actuate, and how to design, the system to get it to perform as desired. Due to the wide variety of physical systems that control theory handles, the use of more abstract mathematical tools is very well suited to this field, and has already proven useful many instances, such as the study of system stability or optimal design of control system.

Systemtheorie, Regelung und Automatisierung,    Geometrie und Topologie

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

Fluid-driven crack propagation is the process by which pressurized fluid drives cracks through solid materials. Such a process is not only central to hydraulic fracture stimulation of oil and gas wells, but also it describes movement of molten rock through the Earth’s crust and water through the subsurface of glacial ice sheets. Hence, there is significant, and hitherto relatively untapped, potential for multidisciplinary investigation. Furthermore, the underlying mathematical problem is challenging even for simple propagation geometries and ignoring variability in material properties of the rock and/or ice sheet. When realistic variability and complexity is considered, the problem exceeds the capabilities of current computer simulation tools. To address these concerns, the objective of this workshop is to convene a BIRS Workshop of Applied Mathematicians, Geo-Scientists, and Engineers from Academia and Industry to accelerate the development of the state-of-the-art tools to analyze the evolution of fluid-driven cracks that propagate in complex solid media.

Kurse und Veranstaltungen für Studenten der Mathematik,    Geophysik und Geologie

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

We will aim to create new mathematical models of complex fluids that can bridge length and time scales, and study novel ways to model entanglement of polymers and filaments. We stress that the novelty of this workshop consists not only in bringing together an interdisciplinary array of scientists, but bridging the gap between what has been traditionally catalogued as pure and applied mathematics.

Kurse und Veranstaltungen für Studenten der Mathematik,    Festkörperphysik

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.

Kurse und Veranstaltungen für Studenten der Mathematik,    Allgemeine wissenschaftliche Mathematik und fachübergreifende Veranstaltungen

Department of Mathematics & Statistics and the Department of Supply Chain & Business Technology Management of Concordia University in Montreal

In keeping with the long tradition of previous decennial conferences (starting in 1971), this convention is dedicated to all areas of statistical sciences. In addition to the traditional theoretical/applied areas, interdisciplinary research would be encouraged and promoted including major theme areas Applied Statistics, Big Data, Bioinformatics, Biostatistics, Computational Statistics, Data Mining, Data Science, Demography, Econometrics, Health Statistics, Model Selection and Validation, Social Statistics, Supply Chain, Survival Analysis, Stochastic Methods in Ecology, Finance and Engineering.