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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.
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Safi Ahmed
Wolfram Summer School 2024 Alum, Wolfram Early Professionals Program
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Alexei Boulbitch
PhD habil. in Theoretical Physics, Solid-State Physics and Biophysics
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John W. C. Dunlop
Professor of Biological Physics, MorphoPhysics Group at the University of Salzburg, Austria
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Pedro Flores-Castillo
Engineering Director, Celeros Flow Technology
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Richard Gass
Professor Emeritus of Physics, Department of Physics at the University of Cincinnati
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José Luis Gómez-Muñoz
Data Science Program Director, Tecnológico de Monterrey, Campus Estado de México
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Paritosh Mokhasi
Research Scientist II, National Center for Physical Acoustics at the University of Mississippi
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Oliver Ruebenkoenig
Numerical Computation Manager, Wolfram Research
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Jernej Slanovec
Head of Simulation Engineering, HELLA Saturnus Slovenija
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xzczd
Moderator, Mathematica Stack Exchange
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