Module

Special Topics of Convex Optimization

Spezielle Themen der konvexen Optimierung

8 LPunregelmäßigEN

Voraussetzungen

Empfohlen, im Wortlaut

Knowledge of the content of the modules • 13392: Differenzierbare Optimierung or 14356 Differentiable Optimization • 13844: Functional Analysis

Inhalte

Topics from the field of convex optimization, e.g. • Convex subdifferential • Duality theory • Methods • Maximum monotone operators

Lernziele

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.

Prüfungsleistung

• 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.

Literatur (2)
  • Bauschke, Combettes: Convex analysis and monotone operator theory in Hilbert spaces, 2011
  • Clason, Valkonen, Introduction to nonsmooth analysis and optimization, 2020

Bemerkungen

• Study programme Mathematics M.Sc.: Compulsory elective module in complex „Optimization“

Quelle: Modulbeschreibung der BTU · abgerufen 29.09.2026Original

Modulkatalog · inoffiziell

Betula ist ein inoffizielles Projekt und gehört nicht zur BTU.

Folia 1.0.3Radix 0.6.0

Daten vom 21.10.2026WiSe 2026/27Quelle: BTU