Lectures: Prof. Christoph Schnörr

Exercises: Daniel and Jonathan

Language: English

SWS: 2+2

ECTS: 6

Lecture Id: MM35, Spezialisierungsmodul Numerik und Optimierung

Registration: Please register in Müsli and Moodle (you do not need an enrollment key).

Feedback: We have a feedback forum in Moodle for all questions related to the mathematical content and the organization of the course.

Prior Knowledge: Required: Lineare Algebra and Analysis, Recommended: Convex and Nonlinear Optimization

Content: Discrete and Continuous Fourier Transformations, FIR Filter, Reproducing Kernel Hilbert Spaces, Markov Random Fields, Gaussian Markov Random Fields, Exponential Family, Elementary Differential Geometry