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Discrete Optimization (ADM II)

Summer 2021
Lecturer: Max Klimm, Assistant: Martin Knaack
More information and materials: ISIS course page
This lecture is the sequel to the lecture "Introduction to linear and combinatorial optimization (ADM I)". We cover advanced combinatorial and discrete optimization methods such as
Knowledge of a programming language (e.g. python) is desirable. Basic knowledge of calculus and linearer algebra and the succesfull completion of the lecture "Introduction to linear and combinatoral optimization (ADM I)" are helpful.