Randomized Symplectic Model Order Reduction for Hamiltonian Systems. - Robin Herkert; Patrick Buchfink; Bernard Haasdonk; Johannes Rettberg; Jörg Fehr (LSSC, 2023)

Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems. - Robin Herkert; Patrick Buchfink; Bernard Haasdonk; Johannes Rettberg; Jörg Fehr (CoRR, 2024)

Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data. - Robin Herkert; Patrick Buchfink; Tizian Wenzel; Bernard Haasdonk; Pavel Toktaliev; Oleg Iliev 001 (CoRR, 2024)

Dictionary-based online-adaptive structure-preserving model order reduction for parametric Hamiltonian systems. - Robin Herkert; Patrick Buchfink; Bernard Haasdonk (Adv. Comput. Math., 2024)

Improved a posteriori error bounds for reduced port-Hamiltonian systems. - Johannes Rettberg; Dominik Wittwar; Patrick Buchfink; Robin Herkert; Jörg Fehr; Bernard Haasdonk (Adv. Comput. Math., 2024)

A trust-region framework for optimization using Hermite kernel surrogate models. - Sven Ullmann; Tobias Ehring; Robin Herkert; Bernard Haasdonk (CoRR, 2025)