Mixed-integer nonlinear optimization P Belotti, C Kirches, S Leyffer, J Linderoth, J Luedtke, A Mahajan Acta Numerica 22, 1-131, 2013 | 863 | 2013 |
A sample approximation approach for optimization with probabilistic constraints J Luedtke, S Ahmed SIAM Journal on Optimization 19 (2), 674-699, 2008 | 727 | 2008 |
An integer programming approach for linear programs with probabilistic constraints J Luedtke, S Ahmed, GL Nemhauser Mathematical programming 122 (2), 247-272, 2010 | 418 | 2010 |
A branch-and-cut decomposition algorithm for solving chance-constrained mathematical programs with finite support J Luedtke Mathematical Programming 146, 219-244, 2014 | 214 | 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 | 146 | 2010 |
New formulations for optimization under stochastic dominance constraints J Luedtke SIAM Journal on Optimization 19 (3), 1433-1450, 2008 | 117 | 2008 |
Decomposition Algorithms for Two-Stage Chance-Constrained Programs X Liu, S Küçükyavuz, J Luedtke Mathematical Programming, 2014 | 112 | 2014 |
Chance-constrained binary packing problems Y Song, J Luedtke, S Küçükyavuz INFORMS Journal on Computing 26, 735-747, 2014 | 110 | 2014 |
Some Results on the Strength of Relaxations of Multilinear Functions J Luedtke, M Namazifar, J Linderoth Mathematical Programming 136, 325-351, 2012 | 102 | 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 | 89 | 2017 |
Mixed-integer rounding enhanced benders decomposition for multiclass service system staffing and scheduling with arrival rate uncertainty M Bodur, J Luedtke Management Science, 2016 | 77 | 2016 |
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 | 74 | 2016 |
Lift-and-project cuts for convex mixed integer nonlinear programs: Linear programming based separation and extended formulations MR Kılınç, J Linderoth, J Luedtke Mathematical Programming Computation 9, 499-526, 2017 | 73* | 2017 |
Nonanticipative duality, relaxations, and formulations for chance-constrained stochastic programs S Ahmed, J Luedtke, Y Song, W Xie Mathematical Programming, 2016 | 73 | 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 | 70 | 2017 |
Exact algorithms for the chance-constrained vehicle routing problem T Dinh, R Fukasawa, J Luedtke Mathematical Programming 172 (1), 105-138, 2018 | 69 | 2018 |
Solving chance-constrained problems via a smooth sample-based nonlinear approximation A Peña-Ordieres, JR Luedtke, A Wächter SIAM Journal on Optimization 30 (3), 2221-2250, 2020 | 68 | 2020 |
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 | 63 | 2009 |
An integer programming approach for linear programs with probabilistic constraints J Luedtke, S Ahmed, G Nemhauser Integer Programming and Combinatorial Optimization: 12th International IPCO …, 2007 | 62 | 2007 |
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 | 58 | 2014 |