James Luedtke
University of Wisconsin-Madison
H-index: 29
North America-United States
Top articles of James Luedtke
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Lagrangian dual decision rules for multistage stochastic mixed-integer programming | Operations Research | Maryam Daryalal Merve Bodur James R Luedtke | 2024/3 |
Residuals-based distributionally robust optimization with covariate information | Mathematical Programming | Rohit Kannan Güzin Bayraksan James R Luedtke | 2023/9/26 |
Sparse multi-term disjunctive cuts for the epigraph of a function of binary variables | Mathematical Programming | Rui Chen James Luedtke | 2023/9/21 |
New valid inequalities and formulations for the static joint Chance-constrained Lot-sizing problem | Mathematical Programming | Zeyang Zhang Chuanhou Gao James Luedtke | 2023/4/27 |
Two-stage linear decision rules for multi-stage stochastic programming | Mathematical Programming | Merve Bodur James R Luedtke | 2022/1 |
Global Solution of Integer, Stochastic and Nonconvex Optimization Problems | Mathematical Programming | Santanu S Dey James R Luedtke Nikolaos V Sahinidis | 2022/11 |
On sample average approximation for two-stage stochastic programs without relatively complete recourse | Mathematical Programming | Rui Chen James Luedtke | 2022/1/15 |
Data-Driven Multi-Stage Stochastic Optimization on Time Series | Rohit Kannan Jim Luedtke | 2022/7/28 | |
Data-driven sample average approximation with covariate information | arXiv preprint arXiv:2207.13554 | Rohit Kannan Güzin Bayraksan James R Luedtke | 2022/7/27 |
On generating Lagrangian cuts for two-stage stochastic integer programs | INFORMS Journal on Computing | Rui Chen James Luedtke | 2022/4/6 |
Stochastic Dynamic Lot-sizing with Supplier-Driven Substitution and Service Level Constraints | arXiv preprint arXiv:2301.00258 | Narges Sereshti Merve Bodur James R Luedtke | 2022/12/31 |
Heteroscedasticity-aware residuals-based contextual stochastic optimization | arXiv preprint arXiv:2101.03139 | Rohit Kannan Güzin Bayraksan James Luedtke | 2021/1/8 |
A stochastic approximation method for approximating the efficient frontier of chance-constrained nonlinear programs | Mathematical Programming Computation | Rohit Kannan James R Luedtke | 2021/12 |
Parallelizing subgradient methods for the lagrangian dual in stochastic mixed-integer programming | Informs Journal on Optimization | Cong Han Lim Jeffrey T Linderoth James R Luedtke Stephen J Wright | 2021/1 |
Intersection disjunctions for reverse convex sets | Mathematics of Operations Research | Eli Towle James Luedtke | 2021/10/1 |
Optimization-based dispatching policies for open-pit mining | Optimization and Engineering | Amanda Smith Jeff Linderoth James Luedtke | 2021/9 |
Mixed-integer linear programming for scheduling unconventional oil field development | Optimization and Engineering | Akhilesh Soni Jeff Linderoth James Luedtke Fabian Rigterink | 2021/9 |
Minotaur: A mixed-integer nonlinear optimization toolkit | Mathematical Programming Computation | Ashutosh Mahajan Sven Leyffer Jeff Linderoth James Luedtke Todd Munson | 2021/6 |
Stochastic DC optimal power flow with reserve saturation | Electric Power Systems Research | Rohit Kannan James R Luedtke Line A Roald | 2020/12/1 |
Solving chance-constrained problems via a smooth sample-based nonlinear approximation | SIAM Journal on Optimization | Alejandra Peña-Ordieres James R Luedtke Andreas Wächter | 2020 |
Co-Authors
