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101.941 AKNUM, AKOR Numerical optimisation
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2022S, VO, 3.0h, 4.5EC

Properties

  • Semester hours: 3.0
  • Credits: 4.5
  • Type: VO Lecture
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to solve constrained and unconstrained optimisation problem numerically. We discuss several classes of minimisation problems, such as, 

the minimisation of quadratic cost functionals.

Subject of course

Unconstrained optimization: gradient methods, classical
Newton method, quasi­Newton method. Constrained optimization: trust region meth­
ods, linear programming, (sequential) quadratic programming

Teaching methods

Blackboard presentation.

Mode of examination

Oral

Additional information

12.5. and 9.6 we stop the lecture 13:30

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Thu12:00 - 16:0003.03.2022 - 30.06.2022Sem.R. DB gelb 09 Numerical optimisation
AKNUM, AKOR Numerical optimisation - Single appointments
DayDateTimeLocationDescription
Thu03.03.202212:00 - 16:00Sem.R. DB gelb 09 Numerical optimisation
Thu10.03.202212:00 - 16:00Sem.R. DB gelb 09 Numerical optimisation
Thu17.03.202212:00 - 16:00Sem.R. DB gelb 09 Numerical optimisation
Thu24.03.202212:00 - 16:00Sem.R. DB gelb 09 Numerical optimisation
Thu31.03.202212:00 - 16:00Sem.R. DB gelb 09 Numerical optimisation
Thu07.04.202212:00 - 16:00Sem.R. DB gelb 09 Numerical optimisation
Thu28.04.202212:00 - 16:00Sem.R. DB gelb 09 Numerical optimisation
Thu05.05.202212:00 - 16:00Sem.R. DB gelb 09 Numerical optimisation
Thu12.05.202212:00 - 16:00Sem.R. DB gelb 09 Numerical optimisation
Thu19.05.202212:00 - 16:00Sem.R. DB gelb 09 Numerical optimisation
Thu02.06.202212:00 - 16:00Sem.R. DB gelb 09 Numerical optimisation
Thu09.06.202212:00 - 16:00Sem.R. DB gelb 09 Numerical optimisation
Thu23.06.202212:00 - 16:00Sem.R. DB gelb 09 Numerical optimisation
Thu30.06.202212:00 - 16:00Sem.R. DB gelb 09 Numerical optimisation

Examination modalities

Oral exam. 

Course registration

Not necessary

Curricula

Literature

No lecture notes are available.

Previous knowledge

Analysis and linear algebra

Language

English