Variational Problems in the Physical and Data Sciences: Analysis, Modeling, and Simulation (26w5514)
Organizers
Ihsan Topaloglu (Virginia Commonwealth University)
Lia Bronsard (McMaster University)
Felix Otto (Max Planck Institute for Mathematics in the Sciences)
Raghavendra Venkatraman (The University of Utah)
Description
The Banff International Research Station will host the "Variational Problems in the Physical and Data Sciences: Analysis, Modeling, and Simulation" workshop in Banff from July 5 - 10, 2026.
This workshop aims to bring together researchers from diverse fields of applied mathematics to explore the critical role of variational methods in both physical sciences and data sciences. Variational problems are fundamental in modeling natural phenomena and optimizing complex systems. This interdisciplinary workshop will focus on the latest advances in the analysis of physical problems, mathematical aspects of data science, optimization techniques, and computational mathematics. It will foster collaboration and knowledge exchange between experts in mathematics, physics, and data science. By bringing together a diverse group of scholars, the workshop will also create a venue for new research directions, innovative solutions, and enhanced computational methods.
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for Mathematical Innovation and Discovery (BIRS) is a collaborative
Canada-US-Mexico venture that provides an environment for creative
interaction as well as the exchange of ideas, knowledge, and methods
within the Mathematical Sciences, with related disciplines and with
industry. The research station is located at The Banff Centre in
Alberta and is supported by Canada's Natural Science and Engineering
Research Council (NSERC), the U.S. National Science Foundation (NSF),
and Alberta's Advanced Education and Technology.
