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How important are branching decisions: Fooling MIP solvers.

, and . Oper. Res. Lett., 43 (3): 273-278 (2015)

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Datasets for the Evaluation of Substitution-Tolerant Subgraph Isomorphism., , and . GREC, volume 8746 of Lecture Notes in Computer Science, page 240-251. Springer, (2013)An Abstract Model for Branching and its Application to Mixed Integer Programming., and . CoRR, (2015)Learning to Branch in Mixed Integer Programming., , , , and . AAAI, page 724-731. AAAI Press, (2016)New partial aggregations for multicommodity network flow problems: An application to the fixed-charge network design problem., , , and . Comput. Oper. Res., (2021)On a stochastic bilevel programming problem., , , and . Networks, 59 (1): 107-116 (2012)A note on Äpproximation schemes for a subclass of subset selection problems", and a faster FPTAS for the Minimum Knapsack Problem., and . CoRR, (2016)Optimal Sankey Diagrams Via Integer Programming., , , , and . PacificVis, page 135-139. IEEE Computer Society, (2018)GEM++: A Tool for Solving Substitution-Tolerant Subgraph Isomorphism., , , and . GbRPR, volume 9069 of Lecture Notes in Computer Science, page 128-137. Springer, (2015)Learning Optimal Decision Sets and Lists with SAT., , , and . J. Artif. Intell. Res., (2021)How important are branching decisions: Fooling MIP solvers., and . Oper. Res. Lett., 43 (3): 273-278 (2015)