Thomas Kleinert

Juniorprofessur für Optimierung von Energiesystemen Economics - Discrete Optimization - Mathematics (EDOM)

Why there is no need to use a big-M in linear bilevel optimization: a computational study of two ready-to-use approaches (2023) Kleinert T, Schmidt M Journal article On Piecewise Linear Approximations of Bilinear Terms: Structural Comparison of Univariate and Bivariate Mixed-Integer Programming Formulations (2022) Bärmann A, Burlacu R, Hager L, Kleinert T Journal article, other On convex lower-level black-box constraints in bilevel optimization with an application to gas market models with chance constraints (2022) Heitsch H, Henrion R, Kleinert T, Schmidt M Journal article The cost of decoupling trade and transport in the European entry-exit gas market with linear physics modeling (2022) Boettger T, Grimm V, Kleinert T, Schmidt M Journal article The Impact of Neighboring Markets on Renewable Locations, Transmission Expansion, and Generation Investment (2021) Egerer J, Grimm V, Kleinert T, Schmidt M, Zöttl G Journal article, Original article Algorithms for Mixed-Integer Bilevel Problems with Convex Followers (2021) Kleinert T Thesis Presolving Linear Bilevel Optimization Problems (2021) Kleinert T, Manns J, Schmidt M, Weninger D Journal article, Review article Outer Approximation for Global Optimization of Mixed-Integer Quadratic Bilevel Problems (2021) Kleinert T, Grimm V, Schmidt M Journal article, Original article A Survey on Mixed-Integer Programming Techniques in Bilevel Optimization (2021) Kleinert T, Labbe M, Ljubic I, Schmidt M Journal article Technical note-There's no free lunch: On the hardness of choosing a correct big-M in bilevel optimization (2020) Kleinert T, Labbe M, Plein F, Schmidt M Journal article