250100 VO Convex Optimization (2025S)
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Details
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Monday 03.03. 08:00 - 09:30 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 06.03. 08:00 - 09:30 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 10.03. 08:00 - 09:30 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 13.03. 08:00 - 09:30 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 17.03. 08:00 - 09:30 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 20.03. 08:00 - 09:30 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 24.03. 08:00 - 09:30 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 27.03. 08:00 - 09:30 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 31.03. 08:00 - 09:30 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 03.04. 08:00 - 09:30 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 07.04. 08:00 - 09:30 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 10.04. 08:00 - 09:30 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
- N Monday 28.04. 08:00 - 09:30 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 05.05. 08:00 - 09:30 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 08.05. 08:00 - 09:30 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 12.05. 08:00 - 09:30 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 15.05. 08:00 - 09:30 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 19.05. 08:00 - 09:30 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 22.05. 08:00 - 09:30 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 26.05. 08:00 - 09:30 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 02.06. 08:00 - 09:30 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 05.06. 08:00 - 09:30 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 12.06. 08:00 - 09:30 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 16.06. 08:00 - 09:30 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 23.06. 08:00 - 09:30 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 26.06. 08:00 - 09:30 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 30.06. 08:00 - 09:30 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
Information
Aims, contents and method of the course
In this lecture, we will explore the theoretical foundations of optimality characterization for convex optimization problems. Building on this, we will design numerical algorithms and analyze their convergence properties. The lecture is accompanied by exercises and programming problems.
Assessment and permitted materials
Oral exam.
Minimum requirements and assessment criteria
Students must demonstrate that they have acquired advanced knowledge in convex optimization.
Examination topics
The entire content of the lecture and the exercises that were discussed.
Reading list
H.H. Bauschke, P.L. Combettes (2017) - Convex Analysis and Monotone Operator Theory in Hilbert Spaces, Springer-Verlag New York Dordrecht Heidelberg LondonR. I. Boţ (2010) - Conjugate Duality in Convex Optimization, Lecture Notes in Economics and Mathematical Systems, Vol. 637, Springer-Verlag Berlin HeidelbergR.I. Boţ (2024) - Lecture Notes for the Course "Convex Analysis", University of Vienna, 2024J.-B. Hiriart-Urruty, C. Lemarechal - Convex Analysis and Minimization Algorithms. I. Fundamentals and II. Advanced Theory and Bundle Method, Springer-Verlag Berlin Heidelberg, 1993R.T. Rockafellar (1970) - Convex Analysis, Princeton University Press
Association in the course directory
MAMV
Last modified: Tu 04.03.2025 17:46