PhD:

• Sebastian Lämmel (2019-2024)
  • Global aspects of cardinality-constrained optimization problems, their reformulation and regularization
  • TU Chemnitz, 18.10.2024 
• David Müller (2016-2022)
  • Algorithmic Aspects of Discrete Choice in Convex Optimization
  • This thesis develops a framework to analyze algorithmic aspects of discrete choice models in convex optimization. The central aspect is to derive new prox-functions from discrete choice surplus functions, which are then incorporated into convex optimization schemes. The book provides further economic applications of discrete choice prox-functions within the context of convex optimization such as network manipulation based on alternating minimization and dynamic pricing for online marketplaces.
  • TU Chemnitz, 18.07.2022