Mark Turner

According to our database, Mark Turner authored at least 8 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Katrin Halbig, Alexander Hoen, Christopher Hojny, Rolf van der Hulst, Thorsten Koch, Marco E. Lübbecke, Stephen J. Maher, Frederic Matter, Erik Mühmer, Benjamin Müller, Marc E. Pfetsch, Daniel Rehfeldt, Steffan Schlein, Franziska Schlösser, Felipe Serrano, Yuji Shinano, Boro Sofranac, Mark Turner, Stefan Vigerske, Fabian Wegscheider, Philipp Wellner, Dieter Weninger, Jakob Witzig

ACM Trans. Math. Softw., June, 2023

Adaptive Cut Selection in Mixed-Integer Linear Programming.

Mark Turner, Thorsten Koch, Felipe Serrano, Michael Winkler

Open J. Math. Optim., January, 2023

PySCIPOpt-ML: Embedding Trained Machine Learning Models into Mixed-Integer Programs.

Mark Turner, Antonia Chmiela, Thorsten Koch, Michael Winkler

CoRR, 2023

A Context-Aware Cutting Plane Selection Algorithm for Mixed-Integer Programming.

Mark Turner, Timo Berthold, Mathieu Besançon

CoRR, 2023

Branching via Cutting Plane Selection: Improving Hybrid Branching.

Mark Turner, Timo Berthold, Mathieu Besançon, Thorsten Koch

CoRR, 2023

How Many Clues To Give? A Bilevel Formulation For The Minimum Sudoku Clue Problem.

Gennesaret Tjusila, Mathieu Besançon, Mark Turner, Thorsten Koch

CoRR, 2023

Cutting Plane Selection with Analytic Centers and Multiregression.

Mark Turner, Timo Berthold, Mathieu Besançon, Thorsten Koch

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2023

2022

Generative deep learning for decision making in gas networks.

Lovis Anderson, Mark Turner, Thorsten Koch

Math. Methods Oper. Res., 2022