Jan Schwiddessen

Measurable performance through algorithms. PhD candidate in mathematical optimization.

Here you’ll find my publications, preprints, and theses, with links to publishers, DOIs, arXiv, and code where available.

Preprints

  • Daniel Brosch, Jan Schwiddessen, Angelika Wiegele.
    The Augmented Mixing Method: Computing High-Accuracy Primal-Dual Solutions to Large-Scale SDPs via Column Updates.
    Preprint, (2025).
    arXiv · GitHub

Journal Articles & Conference Proceedings

  • Veronica Piccialli, Jan Schwiddessen, Antonio M. Sudoso.
    Optimization meets machine learning: an exact algorithm for semi-supervised support vector machines.
    Mathematical Programming, Series B, (2024).
    SpringerLink · DOI · arXiv · GitHub

  • Jan Schwiddessen.
    A Semidefinite Approach for the Single Row Facility Layout Problem.
    In: N. Trautmann & M. Gnägi (Eds.), Operations Research Proceedings 2021 (Lecture Notes in Operations Research), pp. 45–51, Springer, Cham (2022).
    SpringerLink · DOI

Theses

  • Jan Schwiddessen.
    Solution Approaches for the Single Row Facility Layout Problem based on Semidefinite Programming.
    Master’s thesis, TU Dortmund University, (2020).
    PDF