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==== Abstract of the Lecture: ==== 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:** [[:people|Prof. Christoph Schnörr]] * **Exercises:**[[:people|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 in HeiCo