|Englische Bezeichnung:||Nonlinear Optimization|
|Modulverantwortliche(r):||Prof. Dr. Thomas Slawig|
|Modulkategorien:||IG (MSc Inf.) TG (MSc Inf.) MV (MSc Inf.) MSc Math (Export) WI (MSc WInf. (15)) WI (MSc Inf (15)) WI (MEd Inf) WPI (MEd Inf)|
Theory and numerical methods for nonlinear optimization problems for real variables without and with constraints are discussed.
The students know the fundamental theoretical results for nonlinear constrained and unconstrained optimization problems in real variables. They are able to analyze problems, to select and implement algorithms. They are able to present results, analyze them and draw conclusions w.r.t. performance and quality improvement. An additional focus is on theoretical aspects of numerical optimization methods, e.g. the proofs of important theorems or results.
Oral or written exam based on implementation performed during the course exercises.
Lectures, group exercises, discussions, self-study and computer work in groups.
MSc Computer Science, MSc Mathematics, MSc Computational Science and Engineering, area Optimization and Optimal Control. Cannot be used as Nebenfach Computer Science in MSc Mathematics.