News
- Mathias Staudigl participates at the SINO-German workshop on “Intelligent numerical mathematics” – a joint initiative between the DFG and the NSFC.
- Mathias Staudigl is invited to give a talk at the EUCCO2025!
- The Mannheim Mathematical Optimization group organizes a stream on Data driven optimization for inverse problems: Theory and computational advances at the ENUMAT2025 in Heidelberg. See you there!
- New Publication: "Complexity guarantees for risk-neutral generalized Nash equilibrium problems” (joint w/
H.Tau, M. Marschner, U. Shanbhag, S. Cui and A. Iannelli) [pdf] - Publication: “Derivative-free stochastic bilevel optimization for inverse problems” (joint w/
S. Weißmann and Tristan van Leeuwen) [pdf] - Publication: "A Regularized Variance-Reduced Modified Extragradient Method for Stochastic Hierarchical Games” (joint w./ U.Shanbhag and S. Cui) [pdf]
- Publication: A conditional gradient homotopy method with applications to semidefinite programming (joint w/
Shimrit Shtern, Pavel Dvurechensky and Gabriele Iommazo) (pdf) - Publication: A Gauss-Seidel method for solving multi-leader-multi-follower games (joint w/
B. Franci, F. Fabiani and M. Schmidt) [pdf] - New paper accepted at the CDC: “Tikhonov regularized exterior penalty methods for hierarchical variational inequalities” (joint w. Meggie Marschner)
- PGMO Project Online Stochastic Approximation methods for Distributed Multistage Optimization of large-scale microgrids accepted for funding. Thanks to the PGMO and EDF for their continuous support!
- It is a great pleasure to serve on the Best Paper committee at the ICCOPT2025!
- DFG-Project “Hierarchical optimisation problems in volatile environments” has been accepted for funding!
- New Publication: Qu, Siqi, and Mathias Staudigl. “Tikhonov regularized exterior penalty dynamics for constrained variational inequalities.” arXiv preprint arXiv:2403.13460 (2024) (accepted at IEEE Control & Systems Letters)