General Information
Here you will find the lectures offered by our working group in the current semester.
If you would like to attend a seminar, a proseminar or a reading course during the semester, please contact the supervisor or the use URM. Appointments are then determined in consultation with the participants.
If you are interested in doing your bachelor's or master's thesis in optimization, please contact Prof. Schöbel, Prof. Krumke or Prof. Ruzika.
Introductory course to mathematics for students of mathematics and computer science
Content
- Support of new students of mathematics and computer science within the transition from school to university
- Matching different educational backgrounds and refreshing some of the important fundamentals of the school subject
- Introduction to the initially unfamiliar mathematical thinking and working methods as well as the abstract language and form of presentation of mathematics lectures at the university
- Familiarization with the usual form of lecture and group exercise
Lectures in summer term 2022
Following lectures are offered during summer term 2022 by our working group:
Fundamentals of Mathematics 2
Lecturer and staff
Dates
Tuesday, 12:00 - 13:30 in 52-207
Thursday, 12:00 - 13:30 in 24-102
Friday, 10:00 - 11:30 in 46-215
Tutorials
Registration and group assignments for the tutorials are handled by the URM.
Materials
Further Information
This course is only offered in German.
Nonlinear Optimization
Content
Nonlinear optimization problems are optimization problems where the objective function and / or constraints are nonlinear. Such problems that arise in a variety of applications can not be solved by methods known from linear optimization. This lecture covers theoretical background and algorithmic approaches to solve nonlinear optimization problems, both with and without constraints.
Among other things, the following topics are covered:
- one-dimensional and multi-dimensional search,
- Newton and Quasi-Newton procedures,
- convex analysis and separation theorems,
- optimality conditions for convex problems,
- optimality conditions for general problems,
- penalty- and barrier-methods, and
- the SQP-method.
Lecturer and staff
Date
Monday, 08:00 - 09:30 in 48-208
Wednesday, 10:00 - 11:30 in 48-208
Übungen
Tuesday, 08:00 - 09:30 in 48-582
Friday, 08:00 - 09:30 in 48-438
Materials
OpenOLAT (standard access code)
Multicriteria Optimization
Lecturer and Staff
Prof. Dr. Stefan Ruzika
M. Sc. Nils Hausbrandt
Dates
Tuesday, 14.00 - 15.30 in 48-210
Thursday, 12.00 - 13.30 in 48-208
Übungen
Monday, 16.00 - 17.30 in 46-268
Friday, 12.00 - 13.30 in 36-265
Prerequisites
linear and network optimization, integer optimization
Further information and materials
Reading courses, seminars und proseminars
Following supplementing courses are offered during summer term 2022 by our working group: tba
Reading Course
Lecturer and adjunct
Date
By arrangement.
If you are interested please send an e-mail to schoebel(at)mathematik.uni-kl.de.
Reading Course
Lecturer
Date
By arrangement.
If you are interested please send an e-mail to ruzika(at)mathematik.uni-kl.de.
Reading Course
Lecturer
Date
By arrangement.
If you are interested please send an e-mail to krumke(at)mathematik.uni-kl.de.