PySCIPOpt: Mathematical Programming in Python with the SCIP Optimization Suite. - Stephen J. Maher; Matthias Miltenberger; João Pedro Pedroso; Daniel Rehfeldt; Robert Schwarz; Felipe Serrano 001 (ICMS, 2016)

Optimizing Large-Scale Linear Energy System Problems with Block Diagonal Structure by Using Parallel Interior-Point Methods. - Thomas Breuer; Michael R. Bussieck; Karl-Kiên Cao; Felix Cebulla; Frederik Fiand; Hans Christian Gils; Ambros M. Gleixner; Dmitry Khabi; Thorsten Koch; Daniel Rehfeldt; Manuel Wetzel (OR, 2017)

SCIP-Jack - A Solver for STP and Variants with Parallelization Extensions: An Update. - Daniel Rehfeldt; Thorsten Koch (OR, 2017)

SCIP-Jack - a solver for STP and variants with parallelization extensions. - Gerald Gamrath; Thorsten Koch; Stephen J. Maher; Daniel Rehfeldt; Yuji Shinano (Math. Program. Comput., 2017)

Building Optimal Steiner Trees on Supercomputers by Using up to 43, 000 Cores. - Yuji Shinano; Daniel Rehfeldt; Thorsten Koch (CPAIOR, 2019)

An Easy Way to Build Parallel State-of-the-art Combinatorial Optimization Problem Solvers: A Computational Study on Solving Steiner Tree Problems and Mixed Integer Semidefinite Programs by using ug[SCIP-*, *]-Libraries. - Yuji Shinano; Daniel Rehfeldt; Tristan Gally (IPDPS Workshops, 2019)

First Experiments with Structure-Aware Presolving for a Parallel Interior-Point Method. - Ambros M. Gleixner; Nils-Christian Kempke; Thorsten Koch; Daniel Rehfeldt; Svenja Uslu (OR, 2019)

Reduction techniques for the prize collecting Steiner tree problem and the maximum-weight connected subgraph problem. - Daniel Rehfeldt; Thorsten Koch; Stephen J. Maher (Networks, 2019)

Combining NP-Hard Reduction Techniques and Strong Heuristics in an Exact Algorithm for the Maximum-Weight Connected Subgraph Problem. - Daniel Rehfeldt; Thorsten Koch (SIAM J. Optim., 2019)

A Physarum-Inspired Algorithm for Minimum-Cost Relay Node Placement in Wireless Sensor Networks. - Yahui Sun 001; Daniel Rehfeldt; Marcus Brazil; Doreen A. Thomas; Saman K. Halgamuge (IEEE/ACM Trans. Netw., 2020)

APDCM 2022 Keynote Talk: Solving QUBOs on Digital and Quantum Computers. - Thorsten Koch; Daniel Rehfeldt; Yuji Shinano (IPDPS Workshops, 2022)

Faster Algorithms for Steiner Tree and Related Problems: From Theory to Practice. - Daniel Rehfeldt (OR, 2022)

A massively parallel interior-point solver for LPs with generalized arrowhead structure, and applications to energy system models. - Daniel Rehfeldt; Hannes Hobbie; David Schönheit; Thorsten Koch; Dominik Möst; Ambros M. Gleixner (Eur. J. Oper. Res., 2022)

On the Exact Solution of Prize-Collecting Steiner Tree Problems. - Daniel Rehfeldt; Thorsten Koch (INFORMS J. Comput., 2022)

Optimal connected subgraphs: Integer programming formulations and polyhedra. - Daniel Rehfeldt; Henriette Franz; Thorsten Koch (Networks, 2022)

Implications, conflicts, and reductions for Steiner trees. - Daniel Rehfeldt; Thorsten Koch (Math. Program., 2023)

Enabling Research through the SCIP Optimization Suite 8.0. - Ksenia Bestuzheva; Mathieu Besançon; Weikun Chen; Antonia Chmiela; Tim Donkiewicz; Jasper van Doornmalen; Leon Eifler; Oliver Gaul; Gerald Gamrath; Ambros M. Gleixner; Leona Gottwald; Christoph Graczyk; et al. (ACM Trans. Math. Softw., 2023)

Faster exact solution of sparse MaxCut and QUBO problems. - Daniel Rehfeldt; Thorsten Koch; Yuji Shinano (Math. Program. Comput., 2023)

An efficient solver for large-scale onshore wind farm siting including cable routing. - Jaap Pedersen; Jann Michael Weinand; Chloi Syranidou; Daniel Rehfeldt (Eur. J. Oper. Res., 2024)