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401-3650-23L
4
Credits
MSC
D-MATH
Numerical Analysis Seminar: Deep Neural Network Methods for PDEs
Lecturers & Examiners:
Prof. Dr. Christoph Schwab
Number of participants limited to 7.
Participation by consent of instructor. Physical presence required for participation.
Last Updated: 2026-02-05 16:37:22
Abstract
The Seminar will review recent research papers and research results on the mathematical analysis (convergence rates, error vs. work, expression rate bounds, etc.) of deep learning based numerical methods for partial differential equations (PDEs).Particular attention is on high-dimensional PDEs as arise in financial modelling, physics, etc.
General Information
- Language
- English
- Levels
- MSC
Examination
- Type
- ungraded semester performance
Passing grade will requirea) 1hr oral presentation with Q/A from the seminar group andb) typed seminar report (``Ausarbeitung'') of several key aspects of the paper under review.
Registration & Places
- Signup Start
- 01.01.2024
- Signup End
- 10.02.2024
Limited places (Special selection)
Priority: Registration for the course unit is only possible for the primary target group
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| seminar |
Numerical Analysis Seminar: Deep Neural Network Methods for PDEs
Permission from lecturers required for all students.
|
|
2 h weekly |
Offered In
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Seminars (NOTICE: The number of seminar places is limited, and the special selection procedure should help to allocate the places not primarily according to the registration time. Everybody is waitlisted first when he/she tries to register for a seminar in myStudies. Moreover: Only one mathematics seminar can be chosen per semester. In case you need to attend 2 seminars in this semester, please take contact with the Study Administration (email: ). Notice also the course unit 401-0002-99L Generic Seminar - Second Priority / Third Priority.)
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