James Luedtke

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Jeff LinderothUniversity of Wisconsin-Madison. Wisconsin Institute for DiscoveryVerified email at wisc.edu
Shabbir AhmedProfessor of Industrial & Systems Engineering, Georgia Institute of TechnologyVerified email at isye.gatech.edu
Sven LeyfferSenior Computational Mathematician, Argonne National LaboratoryVerified email at mcs.anl.gov
Yongjia SongClemson UniversityVerified email at clemson.edu
George NemhauserProfessor, Georgia Institute of TechnologyVerified email at isye.gatech.edu
Merve BodurUniversity of TorontoVerified email at mie.utoronto.ca
Ashutosh MahajanAssistant Professor, Industrial Engineering and Operations Research, IIT BombayVerified email at iitb.ac.in
Pietro BelottiPolitecnico di MilanoVerified email at polimi.it
Christian KirchesProfessor, Technische Universität Carolo-Wilhelmina zu BraunschweigVerified email at tu-bs.de
Simge KüçükyavuzNorthwestern UniversityVerified email at northwestern.edu
Itai GurvichCornell Tech and Cornell School of ORIEVerified email at cornell.edu
Tolga TezcanLondon Business SchoolVerified email at london.edu
Sanjeeb DashIBM ResearchVerified email at us.ibm.com
Todd MunsonArgonne National LaboratoryVerified email at mcs.anl.gov
Claudia D'AmbrosioCNRS researcher, LIX Ecole PolytechniqueVerified email at lix.polytechnique.fr
Eli TowleOptimization Support Engineer, Gurobi OptimizationVerified email at gurobi.com
Weijun XieAssistant Professor, Virginia TechVerified email at vt.edu
Thai DinhGraduate Student, Department of Industrial and Systems Engineering, University of Wisconsin-MadisonVerified email at wisc.edu
Ricardo FukasawaAssociate Professor, University of WaterlooVerified email at uwaterloo.ca
Xiao LiuSabre Airline SolutionsVerified email at sabre.com

James Luedtke

Professor, Ind. & Sys. Engr and Wisconsin Institute for Discovery, UW-Madison

Verified email at wisc.edu - Homepage

Optimization Stochastic programming Mixed-Integer Programming


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Mixed-integer nonlinear optimization P Belotti, C Kirches, S Leyffer, J Linderoth, J Luedtke, A Mahajan Acta Numerica 22, 1, 2013	532	2013
A sample approximation approach for optimization with probabilistic constraints J Luedtke, S Ahmed SIAM Journal on Optimization 19 (2), 674-699, 2008	510	2008
An integer programming approach for linear programs with probabilistic constraints J Luedtke, S Ahmed, GL Nemhauser Mathematical programming 122 (2), 247-272, 2010	311	2010
A branch-and-cut decomposition algorithm for solving chance-constrained mathematical programs with finite support J Luedtke Mathematical Programming 146, 219-244, 2014	160	2014
Staffing call centers with uncertain demand forecasts: A chance-constrained optimization approach I Gurvich, J Luedtke, T Tezcan Management Science 56 (7), 1093-1115, 2010	118	2010
New formulations for optimization under stochastic dominance constraints J Luedtke SIAM Journal on Optimization 19 (3), 1433-1450, 2008	94	2008
Decomposition Algorithms for Two-Stage Chance-Constrained Programs X Liu, S Küçükyavuz, J Luedtke Mathematical Programming, 2014	82	2014
Chance-constrained binary packing problems Y Song, J Luedtke, S Küçükyavuz INFORMS Journal on Computing 26, 735-747, 2014	78	2014
Some Results on the Strength of Relaxations of Multilinear Functions J Luedtke, M Namazifar, J Linderoth Mathematical Programming 136, 325-351, 2012	77	2012
Strengthened Benders cuts for stochastic integer programs with continuous recourse M Bodur, S Dash, O Gunluk, J Luedtke INFORMS Journal on Computing 29 (1), 77-91, 2017	61	2017
Lift-and-project cuts for convex mixed integer nonlinear programs MR Kılınç, J Linderoth, J Luedtke Mathematical Programming Computation 9 (4), 499-526, 2017	57*	2017
Applications and algorithms for mixed integer nonlinear programming S Leyffer, J Linderoth, J Luedtke, A Miller, T Munson Journal of Physics: Conference Series 180 (1), 012014, 2009	48	2009
Mixed-integer rounding enhanced benders decomposition for multiclass service system staffing and scheduling with arrival rate uncertainty M Bodur, J Luedtke Management Science, 2016	46	2016
Nonanticipative duality, relaxations, and formulations for chance-constrained stochastic programs S Ahmed, J Luedtke, Y Song, W Xie Mathematical Programming, 2016	43*	2016
An integer programming approach for linear programs with probabilistic constraints J Luedtke, S Ahmed, G Nemhauser International Conference on Integer Programming and Combinatorial …, 2007	41	2007
A cycle-based formulation and valid inequalities for DC power transmission problems with switching B Kocuk, H Jeon, SS Dey, J Linderoth, J Luedtke, A Sun Operations Research, 2016	39	2016
Combining progressive hedging with a frank-wolfe method to compute lagrangian dual bounds in stochastic mixed-integer programming N Boland, J Christiansen, B Dandurand, A Eberhard, J Linderoth, ... SIAM Journal on Optimization, 2017	37	2017
Models and formulations for multivariate dominance constrained stochastic programs B Armbruster, J Luedtke IIE Transactions 47, 1-14, 2014	37	2014
Exact algorithms for the chance-constrained vehicle routing problem T Dinh, R Fukasawa, J Luedtke Mathematical Programming 172 (1), 105-138, 2018	35	2018
An Adaptive Partition-based Approach for Solving Two-stage Stochastic Programs with Fixed Recourse Y Song, J Luedtke SIAM Journal on Optimization 25 (3), 1344-1367, 2014	35	2014

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