Optimal Transport (Exercise Session)[MA5934]
Course 0000005015 in SS 2019
General Data
| Course Type | exercise |
|---|---|
| Semester Weekly Hours | 2 SWS |
| Organisational Unit | Research Department Mathematics Centre |
| Lecturers |
Gero Friesecke Daniela Vögler |
| Dates |
Assignment to Modules
-
MA5934: Optimal Transport (From the classical Wasserstein distance to multi-marginal problems in physics and machine learning) / Optimal Transport (From the classical Wasserstein distance to multi-marginal problems in physics and machine learning)
This module is included in the following catalogs:- Catalogue of non-physics elective courses
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | |
|---|---|
| Links | TUMonline entry |
Equivalent Courses (e. g. in other semesters)
| Semester | Title | Lecturers | Dates |
|---|---|---|---|
| SS 2022 | Optimal Transport (Exercise Session)[MA5934] | Friesecke, G. Penka, M. |
Mon, 12:15–13:45, MI 00.09.022 |