Department of Data Science

A stochastic optimization approach for optimal Tail Assignment with knowledge-based predictive maintenance (2023) Glomb L, Liers F, Rösel F Journal article Higher integrability for anisotropic parabolic systems of p-Laplace type (2023) Mons L Journal article Improving Quantum Computation by Optimized Qubit Routing (2023) Wagner F, Bärmann A, Liers F, Weissenbäck M Journal article Benders-type branch-and-cut algorithms for capacitated facility location with single-sourcing (2023) Weninger D, Wolsey LA Journal article Optimization over decision trees: a case study for the design of stable direct-current electricity networks (2023) Gutina D, Bärmann A, Roeder G, Schellenberger M, Liers-Bergmann F Journal article Coherence resonance and stochastic synchronization in a small-world neural network: an interplay in the presence of spike-timing-dependent plasticity (2023) Yamakou M, Inack EM Journal article Gradient Hölder regularity for degenerate parabolic systems (2022) Bögelein V, Duzaar F, Liao N, Scheven C 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 Pareto robust optimization on Euclidean vector spaces (2022) Adelhütte D, Biefel C, Kuchlbauer M, Rolfes J Journal article Pareto Robust Optimization on Euclidean Vector Spaces (2022) Adelhütte D, Biefel C, Kuchlbauer M, Rolfes J Journal article, Letter