This lecture introduces students to nonlinear optimization and programming, with a focus on concepts that extend to the next class up in the problem hierarchy: from linear to convex problems, from convex to nonconvex problems. This includes, in particular, problem relaxations in both directions, geometric aspects, and randomization.

• Lectures: Prof. Christoph Schnörr
• Exercises:Daniel Gonzalez
• Language: English
• SWS: 4
• ECTS: 8
• Registration:Registration will be announced
• Prior Knowledge: Foundational courses on Linear Algebra and Analysis
• Please watch closely the changes and informations in HeiCo HeiCo-Lecture, HeiCo-Exercise