Three enhancements for optimization-based bound tightening von Gleixner, Ambros M., Berthold, Timo, Müller, Benjamin, Weltge, Stefan

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LP-based disaggregation approaches to solving the open pit mining production scheduling problem with block processing selectivity von Boland, Natashia, Dumitrescu, Irina, Froyland, Gary, Gleixner, Ambros M.

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Undercover: a primal MINLP heuristic exploring a largest sub-MIP von Berthold, Timo, Gleixner, Ambros M.

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Iterative Refinement for Linear Programming von Gleixner, Ambros M, Steffy, Daniel E, Wolter, Kati

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PaPILO: A Parallel Presolving Library for Integer and Linear Optimization with Multiprecision Support von Gleixner, Ambros, Gottwald, Leona, Hoen, Alexander

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MIPLIB 2010: Mixed Integer Programming Library version 5 von Koch, Thorsten, Achterberg, Tobias, Andersen, Erling, Bastert, Oliver, Berthold, Timo, Bixby, Robert E., Danna, Emilie, Gamrath, Gerald, Gleixner, Ambros M., Heinz, Stefan, Lodi, Andrea, Mittelmann, Hans, Ralphs, Ted, Salvagnin, Domenico, Steffy, Daniel E., Wolter, Kati

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Towards an Accurate Solution of Wireless Network Design Problems von D’Andreagiovanni, Fabio, Gleixner, Ambros M.

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Learning and Propagating Lagrangian Variable Bounds for Mixed-Integer Nonlinear Programming von Gleixner, Ambros M., Weltge, Stefan

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Undercover Branching von Berthold, Timo, Gleixner, Ambros M.

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Branching on Multi-aggregated Variables von Gamrath, Gerald, Melchiori, Anna, Berthold, Timo, Gleixner, Ambros M., Salvagnin, Domenico

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Designing and Implementing Algorithms for Mixed-Integer Nonlinear Optimization (Dagstuhl Seminar 18081) von Bonami, Pierre, Gleixner, Ambros M., Linderoth, Jeff, Misener, Ruth

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Experimental Algorithms: 12th International Symposium, SEA 2013, Rome, Italy, June 5-7, 2013, Proceedings von Bonifaci, Vincenzo, Demetrescu, Camil, Marchetti-Spaccamela, Alberto

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Comparing MIQCP Solvers to a Specialised Algorithm for Mine Production Scheduling von Bley, Andreas, Gleixner, Ambros M., Koch, Thorsten, Vigerske, Stefan

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A Computational Status Update for Exact Rational Mixed Integer Programming von Eifler, Leon, Gleixner, Ambros

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The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights von Gasse, Maxime, Cappart, Quentin, Charfreitag, Jonas, Charlin, Laurent, Chételat, Didier, Chmiela, Antonia, Dumouchelle, Justin, Gleixner, Ambros, Kazachkov, Aleksandr M, Khalil, Elias, Lichocki, Pawel, Lodi, Andrea, Lubin, Miles, Maddison, Chris J, Morris, Christopher, Papageorgiou, Dimitri J, Parjadis, Augustin, Pokutta, Sebastian, Prouvost, Antoine, Scavuzzo, Lara, Zarpellon, Giulia, Yang, Linxin, Lai, Sha, Wang, Akang, Luo, Xiaodong, Zhou, Xiang, Huang, Haohan, Shao, Shengcheng, Zhu, Yuanming, Zhang, Dong, Quan, Tao, Cao, Zixuan, Xu, Yang, Huang, Zhewei, Zhou, Shuchang, Binbin, Chen, Minggui, He, Hao, Hao, Zhiyu, Zhang, Zhiwu, An, Kun, Mao

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The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights von Gasse, Maxime, Cappart, Quentin, Charfreitag, Jonas, Charlin, Laurent, Chételat, Didier, Chmiela, Antonia, Dumouchelle, Justin, Ambros Gleixner, Kazachkov, Aleksandr M, Khalil, Elias, Lichocki, Pawel, Lodi, Andrea, Lubin, Miles, Maddison, Chris J, Morris, Christopher, Papageorgiou, Dimitri J, Parjadis, Augustin, Pokutta, Sebastian, Prouvost, Antoine, Scavuzzo, Lara, Zarpellon, Giulia, Yang, Linxin, Lai, Sha, Wang, Akang, Luo, Xiaodong, Zhou, Xiang, Huang, Haohan, Shao, Shengcheng, Zhu, Yuanming, Zhang, Dong, Quan, Tao, Cao, Zixuan, Xu, Yang, Huang, Zhewei, Zhou, Shuchang, Chen, Binbin, He Minggui, Hao, Hao, Zhang, Zhiyu, An Zhiwu, Mao Kun

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