Special Topics of Convex Optimization
Spezielle Themen der konvexen Optimierung
8 CPirregularlyEN
Prerequisites
Recommended, as written
Knowledge of the content of the modules • 13392: Differenzierbare Optimierung or 14356 Differentiable Optimization • 13844: Functional Analysis
Contents
Topics from the field of convex optimization, e.g. • Convex subdifferential • Duality theory • Methods • Maximum monotone operators
Learning outcomes
After successfully completing the module, students have in-depth knowledge in the field of convex optimization. They are able to create and evaluate different formulations of a problem. They also are able to select and evaluate suitable methods.
Assessment
• Oral examination, 30 min. OR • Written examination, 180 min. (with high number of participants) In the first lecture it will introduced, if the examination will organized in written or oral form.
Literature (2)
- Bauschke, Combettes: Convex analysis and monotone operator theory in Hilbert spaces, 2011
- Clason, Valkonen, Introduction to nonsmooth analysis and optimization, 2020
Remarks
• Study programme Mathematics M.Sc.: Compulsory elective module in complex „Optimization“
Source: BTU's module description · retrieved 29 Sep 2026Original