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.
Oliver Ruebenkoenig
Numerical Computation Manager, Wolfram Research
Chen Wang
Ph.D. Candidate, College of Hydrology and Water Resources at Hohai University
Henrique Santos Lima
Researcher at the Brazilian Center for Research in Physics
Huilong Ren
Research Assistant, Institute of Photonics at Leibniz Universität Hannover
Matheus Paixão
Researcher at the Brazilian Center for Research in Physics
Oleksii Semenov
Researcher at the E. O. Paton Electric Welding Institute of the NASU, Kyiv, Ukraine, Dept. of Gas Discharge Physics and Plasma Devices
Rhameez Sheldon Herbst
Senior Lecturer in Mathematics and Applied Mathematics at the University of Johannesburg
Wei Wu
Research Fellow, Department of Physics and Astronomy at University College London
Yury Vetyukov
Professor of Mechanics of Solids at the Institute of Mechanics and Mechatronics, Technische Universitaet Wien in Vienna, Austria
John G. Michopoulos
Principal Scientist for the Computational Multiphysics Systems Lab at the Naval Research Laboratory, Washington DC
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