Introduction to Nonlinear Optimization
This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.
Module version of WS 2020/1 (current)
There are historic module descriptions of this module. A module description is valid until replaced by a newer one.
Whether the module’s courses are offered during a specific semester is listed in the section Courses, Learning and Teaching Methods and Literature below.
|available module versions|
|WS 2020/1||SS 2020||SS 2012||WS 2011/2|
MA2503 is a semester module in German language at Bachelor’s level which is offered in winter semester.
This Module is included in the following catalogues within the study programs in physics.
- Catalogue of non-physics elective courses
|Total workload||Contact hours||Credits (ECTS)|
|150 h||45 h||5 CP|
Content, Learning Outcome and Preconditions
Further, they understand modern optimization methods and elements of their convergence theory, and they are familiar with and can apply fundamental concepts in the theoretical analysis of nonlinear optimization problems.
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
Please keep in mind that course announcements are regularly only completed in the semester before.
|VO||2||Introduction to Nonlinear Optimization [MA2503]||May, S.||
Thu, 16:15–17:45, Interims I 102
|UE||1||Introduction to Nonlinear Optimization (Exercise Session) [MA2503]||Christof, C. Hafemeyer, D. May, S.||
singular or moved dates
and dates in groups
Learning and Teaching Methods
Geiger, Kanzow: Theorie und Numerik restringierter Optimierungsaufgaben, Springer, 2002.
Nocedal, Wright: Numerical Optimization, Springer, 2006.
Description of exams and course work
The exam may be repeated at the end of the semester.