Jeff T. Linderoth - researchr alias

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Viewing Publication 1 - 25 from 25

2025

An Integer Programming Approach to Subspace Clustering with Missing DataAkhilesh Soni, Jeff T. Linderoth, James R. Luedtke, Daniel L. Pimentel-Alarcón. informsjop, 7(2):83-104, 2025. [doi]

2024

A Set-Covering Approach to Customized Coverage InstrumentationCarla Michini, Peter Ohmann, Ben Liblit, Jeff T. Linderoth. informs, 36(1):21-38, 2024. [doi]

Relaxations and cutting planes for linear programs with complementarity constraintsAlberto Del Pia, Jeff T. Linderoth, Haoran Zhu. jgo, 90(1):27-51, September 2024. [doi]

On the complexity of separating cutting planes for the knapsack polytopeAlberto Del Pia, Jeff T. Linderoth, Haoran Zhu. mp, 206(1):33-59, July 2024. [doi]

New classes of Facets for complementarity knapsack problemsAlberto Del Pia, Jeff T. Linderoth, Haoran Zhu. DAM, 356:247-262, 2024. [doi]

2023

Multi-cover inequalities for totally-ordered multiple knapsack sets: theory and computationAlberto Del Pia, Jeff T. Linderoth, Haoran Zhu. mp, 197(2):847-875, February 2023. [doi]

2022

The hierarchical organization of autocatalytic reaction networks and its relevance to the origin of lifeZhen Peng, Jeff T. Linderoth, David A. Baum. ploscb, 18(9):1010498, September 2022. [doi]

On the Complexity of Separation from the Knapsack PolytopeAlberto Del Pia, Jeff T. Linderoth, Haoran Zhu. ipco 2022: 168-180 [doi]

New Classes of Facets for Complementarity Knapsack ProblemsAlberto Del Pia, Jeff T. Linderoth, Haoran Zhu. iscopt 2022: 3-21 [doi]

2021

MIPLIB 2017: data-driven compilation of the 6th mixed-integer programming libraryAmbros M. Gleixner, Gregor Hendel, Gerald Gamrath, Tobias Achterberg, Michael Bastubbe, Timo Berthold, Philipp Christophel, Kati Jarck, Thorsten Koch, Jeff T. Linderoth, Marco E. Lübbecke, Hans D. Mittelmann, Derya B. Özyurt, Ted K. Ralphs, Domenico Salvagnin, Yuji Shinano. mpc, 13(3):443-490, 2021. [doi]

Orbital Conflict: Cutting Planes for Symmetric Integer ProgramsJeff T. Linderoth, José Núñez Ares, James Ostrowski, Fabrizio Rossi, Stefano Smriglio. informsjop, 3(2):139-153, January 2021. [doi]

Minotaur: a mixed-integer nonlinear optimization toolkitAshutosh Mahajan, Sven Leyffer, Jeff T. Linderoth, James R. Luedtke, Todd Munson. mpc, 13(2):301-338, 2021. [doi]

Piecewise polyhedral formulations for a multilinear termKaarthik Sundar, Harsha Nagarajan, Jeff T. Linderoth, Site Wang, Russell Bent. orl, 49(1):144-149, 2021. [doi]

2020

The Mathematical Foundations of Epistemic Network AnalysisDale Bowman, Zachari Swiecki, Zhiqiang Cai, Yeyu Wang, Brendan R. Eagan, Jeff T. Linderoth, David Williamson Shaffer. icqe 2021: 91-105 [doi]

Strong Convex Nonlinear Relaxations of the Pooling ProblemJames R. Luedtke, Claudia D'Ambrosio, Jeff T. Linderoth, Jonas Schweiger. siamjo, 30(2):1582-1609, 2020. [doi]

2016

Valid Inequalities for Separable Concave Constraints with Indicator VariablesCong Han Lim, Jeff T. Linderoth, James R. Luedtke. ipco 2016: 275-286 [doi]

2014

Strong-branching inequalities for convex mixed integer nonlinear programsMustafa Kilinç, Jeff T. Linderoth, James Luedtke, Andrew Miller. coap, 59(3):639-665, 2014. [doi]

2013

Mixed-integer nonlinear optimizationPietro Belotti, Christian Kirches, Sven Leyffer, Jeff T. Linderoth, James R. Luedtke, Ashutosh Mahajan. actanum, 22:1-131, 2013. [doi]

2011

Power-driven global routing for multi-supply voltage domainsTai-Hsuan Wu, Azadeh Davoodi, Jeff T. Linderoth. date 2011: 443-448 [doi]

2008

Combining optimization and simulation for strategic and operational industrial gas production and distributionWasu Glankwamdee, Jeff T. Linderoth, Jierui Shen, Peter Connard, Jim Hutton. cce, 32(11):2536-2546, 2008. [doi]

2005

5. Computational Grids for Stochastic ProgrammingJeff T. Linderoth, Stephen J. Wright. In Stein W. Wallace, William T. Ziemba, editors, Applications of Stochastic Programming. pages 61-77, SIAM, 2005. [doi]

2002

A branch and cut approach to the cardinality constrained circuit problemP. Bauer, Jeff T. Linderoth, Martin W. P. Savelsbergh. mp, 91(2):307-348, 2002. [doi]

2001

A Parallel, Linear Programming-based Heuristic for Large-Scale Set Partitioning ProblemsJeff T. Linderoth, Eva K. Lee, Martin W. P. Savelsbergh. informs, 13(3):191-209, 2001. [doi]

2000

A Relational Modeling System for Linear and Integer ProgrammingAlper Atamtürk, Ellis L. Johnson, Jeff T. Linderoth, Martin W. P. Savelsbergh. ior, 48(6):846-857, 2000. [doi]

1999

A Computational Study of Search Strategies for Mixed Integer ProgrammingJeff T. Linderoth, Martin W. P. Savelsbergh. informs, 11(2):173-187, 1999. [doi]

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