101.858 AKNUM Numerics of high-dimensional Problems
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020W, VO, 3.0h, 4.5EC

Properties

  • Semester hours: 3.0
  • Credits: 4.5
  • Type: VO Lecture
  • Format: Distance Learning

Learning outcomes

After successful completion of the course, students are able to identify problems with high-dimensional structure. They are equipped to estimate approximation errors as well as the cost of  algorithms suitable for those problems.

Subject of course

Neural Networks for PDEs,  Monte Carlo related methods, numerics of stochastic PDEs and PDEs with random coefficients,

Teaching methods

Blackboard lecture supported by slides.  

Mode of examination

Oral

Lecturers

Institute

Examination modalities

Oral exam covering the course material

Course registration

Not necessary

Curricula

Literature

No lecture notes are available.

Previous knowledge

basic course in numerical analysis (knowledge of FEM helps but is not necessary)

Accompanying courses

Miscellaneous

Language

German