Discrete Mathematics

Discrete Mathematics

Discrete Mathematics

 
Combinatorics, spectral graph theory, quantitative linear algebra, random matrix theory, finite free probability.

Friedrich Eisenbrand’s main research interests lie in the field of discrete optimization, in particular in algorithms and complexity, integer programming, geometry of numbers, and applied optimization.

Fundamental limits and algorithms for data processing and machine learning. Statistics, discrete probability, learning theory, information theory, algorithms.