Nonlinear Optimization: Advanced
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 SS 2021 (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|
|SS 2021||WS 2020/1||SS 2012||WS 2011/2|
MA3503 is a semester module in English language at Master’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
(Former modules: MA1001 Analysis 1, MA1002 Analysis 2, MA1101 Linear Algebra and Discrete Structures 1, MA1102 Linear Algebra and Discrete Struktures 2, MA2503 Introduction to Nonlinear Optimization, recommended: MA2504 Linear and Convex Optimization)
Für Studierende für Lehramt an Gymnasien: MA1005 Analysis 1 LG, MA1006 Analysis 2 LG, MA1105 Linear Algebra 1 LG, MA1106 Linear Algebra 2 LG, MA1107 Discrete Structures LG, MA2012 Einführung in die Optimierung
(Former modules: MA9935 Einführung in die Mathematik 1 LG, MA9936 Einführung in die Mathematik 2 LG, MA9937 Analysis 1 LG, MA9938 Analysis 2 LG, MA9939 Lineare Algebra 1 LG, MA9940 Lineare Algebra 2 LG, MA2503 Introduction to Nonlinear Optimization, recommended: MA2504 Linear and Convex Optimization)
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||Nonlinear Optimization: Advanced [MA3503]||Christof, C. Milz, J. Ulbrich, M. Vexler, B.||
Tue, 10:00–12:00, virtuell
and singular or moved dates
|UE||1||Exercises to Nonlinear Optimization: Advanced [MA3503]||Christof, C. Milz, J. Ulbrich, M. Vexler, B.||dates in groups||
Learning and Teaching Methods
Geiger, Kanzow: Numerische Verfahren zur Lösung unrestringierter Optimierungsaufgaben, Springer, 1999.
Geiger, Kanzow: Theorie und Numerik restringierter Optimierungsaufgaben, Springer, 2002.
Nocedal, Wright: Numerical Optimization, Springer, 2006.
Jarre, Stoer: Optimierung, Springer, 2003.
Description of exams and course work
Students are able to understand the theoretical and numerical basics of nonlinear optimization and can adequately apply the methods and algorithms. They are able to analyze their convergence properties.
The exam may be repeated at the end of the semester.
Current exam dates
Currently TUMonline lists the following exam dates. In addition to the general information above please refer to the current information given during the course.
|Nonlinear Optimization: Advanced|
|Wed, 2021-04-07, 11:30 till 12:30||Einmalige Übungsleistung / one-time electronic exercise performance||till 2021-03-22 (cancelation of registration till 2021-03-31)|