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Strong-branching inequalities for convex mixed integer nonlinear programs

Kılınç, Mustafa; Linderoth, Jeff; Luedtke, James; … - In: Computational Optimization and Applications 59 (2014) 3, pp. 639-665

<Para ID="Par1">Strong branching is an effective branching technique that can significantly reduce the size of the branch-and-bound tree for solving mixed integer nonlinear programming (MINLP) problems. The focus of this paper is to demonstrate how to effectively use “discarded” information from strong...</para>

Persistent link: https://www.econbiz.de/10011151830

A cycle-based fomulation and valid inequalities for DC power transmission problems with switching

Kocuk, Burak; Jeon, Hyemin; Dey, Santanu S.; Linderoth, Jeff - In: Operations research 64 (2016) 4, pp. 922-938

Persistent link: https://www.econbiz.de/10011538576

Improving bounds on the football pool problem by integer programming and high-throughput computing

Linderoth, Jeff; Margot, François; Thain, Greg - In: INFORMS journal on computing : JOC 21 (2009) 3, pp. 445-457

Persistent link: https://www.econbiz.de/10003883474

FilMINT : an outer approximation-based solver for convex mixed-integer nonlinear programs

Abhishek, Kumar; Leyffer, Sven; Linderoth, Jeff - In: INFORMS journal on computing : JOC 22 (2010) 4, pp. 555-567

Persistent link: https://www.econbiz.de/10008748500

Solving large Steiner Triple Covering Problems

Ostrowski, James; Linderoth, Jeff; Rossi, Fabrizio; … - In: Operations research letters 39 (2011) 2, pp. 127-131

Persistent link: https://www.econbiz.de/10009010679

A set-covering approach to customized coverage instrumentation

Michini, Carla; Ohmann, Peter; Liblit, Ben; Linderoth, Jeff - In: INFORMS journal on computing : JOC ; charting new … 36 (2024) 1, pp. 21-38

Persistent link: https://www.econbiz.de/10014474802

FATCOP 2.0: Advanced Features in an Opportunistic Mixed Integer Programming Solver

Chen, Qun; Ferris, Michael C.; Linderoth, Jeff - 2001

Persistent link: https://www.econbiz.de/10008216707

The empirical behavior of sampling methods for stochastic programming

Linderoth, Jeff; Shapiro, Alexander; Wright, Stephen - 2006

Persistent link: https://www.econbiz.de/10008222746

Improving Bounds on the Football Pool Problem by Integer Programming and High-Throughput Computing

Linderoth, Jeff; Margot, François; Thain, Greg - In: INFORMS journal on computing : JOC 21 (2009) 3, pp. 445-457

Persistent link: https://www.econbiz.de/10008280820

Integer packing sets form a well-quasi-ordering

Del Pia, Alberto; Gijswijt, Dion; Linderoth, Jeff; Zhu, … - In: Operations research letters 49 (2021) 2, pp. 226-230

Persistent link: https://www.econbiz.de/10012506653