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About This Webinar
Partial differential equations (PDEs) are central to many approaches to modeling our world. For complex phenomena, partial differential equations can be derived, but analytic solutions are often harder to come by. Numerical methods help bridge the gap between abstract equations and quantitative predictions, allowing PDEs to be used in a wide range of application areas.

Join this colloquium to hear overviews of recent work in numerical methods by research experts from around the world. As a bonus presentation, you'll get a developer's view on how finite element method (FEM) functionality is approached as a core part of Wolfram Language. This webinar will cover advanced topics, although all who are curious are welcome in the audience.
Webinar ID
9dfed8f4815b
Presenters
1750438179-fa5fec6fcbb27999
Safi Ahmed
Wolfram Summer School 2024 Alum, Wolfram Early Professionals Program
1750438368-723657a72594562e
Alexei Boulbitch
PhD habil. in Theoretical Physics, Solid-State Physics and Biophysics
1750699373-d9e7d65752fb9316
John W. C. Dunlop
Professor of Biological Physics, MorphoPhysics Group at the University of Salzburg, Austria
1750438554-2f32187bc734a7d2
Pedro Flores-Castillo
Engineering Director, Celeros Flow Technology
1750438225-422a7a6df2ff86a8
Richard Gass
Professor Emeritus of Physics, Department of Physics at the University of Cincinnati
1750438564-a06e3641642ea691
José Luis Gómez-Muñoz
Data Science Program Director, Tecnológico de Monterrey, Campus Estado de México
1750438126-5ed9724184a57109
Paritosh Mokhasi
Research Scientist II, National Center for Physical Acoustics at the University of Mississippi
1735945596-8b31166cc1e82a0d
Oliver Ruebenkoenig
Numerical Computation Manager, Wolfram Research
1750438325-a0b385cefe28f84c
Jernej Slanovec
Head of Simulation Engineering, HELLA Saturnus Slovenija
1750438415-27d6d86f4b382393
xzczd
Moderator, Mathematica Stack Exchange
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