Modern variational methods and their applications 1000-1S24SRW
This seminar aims to present both classical tools and contemporary advances that link variational methods with nonlinear PDEs,
probability, and computational approaches.
The topics include existence and regularity of solutions to aggregation-diffusion equations, the Lavrentiev gap in nonstandard growth functionals, analysis in generalized function spaces and novel numerical algorithms connecting theoretical insights with practical computation and machine learning.
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Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:
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