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Welcome to the Website of the Chair of Analytics & Optimization


Both, in research and teaching, the Chair of Analytics & Optimization addresses the application of mathematical models and methods, in particular from operations research, for solving real-world decision problems. The main emphasis is on questions arising in the areas of pricing and revenue management as well as digital logistics and mobility.
To deal with these questions, we embrace methods from discrete choice analysis, integer programming and approximate dynamic programming.