James R. Luedtke

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 31

Top Venues

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

Rohit Kannan, Güzin Bayraksan, James R. Luedtke
Residuals-based distributionally robust optimization with covariate information. Math. Program. 207 (1) (2024)
Maryam Daryalal, Merve Bodur, James R. Luedtke
Lagrangian Dual Decision Rules for Multistage Stochastic Mixed-Integer Programming. Oper. Res. 72 (2) (2024)
Rui Chen, James R. Luedtke
Sparse multi-term disjunctive cuts for the epigraph of a function of binary variables. Math. Program. 206 (1) (2024)
Zeyang Zhang, Chuanhou Gao, James R. Luedtke
New valid inequalities and formulations for the static joint Chance-constrained Lot-sizing problem. Math. Program. 199 (1) (2023)
Merve Bodur, James R. Luedtke
Two-stage linear decision rules for multi-stage stochastic programming. Math. Program. 191 (1) (2022)
Rui Chen, James R. Luedtke
On Generating Lagrangian Cuts for Two-Stage Stochastic Integer Programs. INFORMS J. Comput. 34 (4) (2022)
Rui Chen, James R. Luedtke
On sample average approximation for two-stage stochastic programs without relatively complete recourse. Math. Program. 196 (1) (2022)
Eli Towle, James R. Luedtke
Intersection Disjunctions for Reverse Convex Sets. Math. Oper. Res. 47 (1) (2022)
Santanu S. Dey, James R. Luedtke, Nikolaos V. Sahinidis
Special Issue: Global Solution of Integer, Stochastic and Nonconvex Optimization Problems. Math. Program. 196 (1) (2022)
Rui Chen, James R. Luedtke
Sparse Multi-term Disjunctive Cuts for the Epigraph of a Function of Binary Variables. IPCO (2022)
Ashutosh Mahajan, Sven Leyffer, Jeff T. Linderoth, James R. Luedtke, Todd S. Munson
Minotaur: a mixed-integer nonlinear optimization toolkit. Math. Program. Comput. 13 (2) (2021)
Cong Han Lim, Jeffrey T. Linderoth, James R. Luedtke, Stephen J. Wright
Parallelizing Subgradient Methods for the Lagrangian Dual in Stochastic Mixed-Integer Programming. INFORMS J. Optim. 3 (1) (2021)
Rohit Kannan, James R. Luedtke
A stochastic approximation method for approximating the efficient frontier of chance-constrained nonlinear programs. Math. Program. Comput. 13 (4) (2021)
James R. Luedtke, Claudia D'Ambrosio, Jeff T. Linderoth, Jonas Schweiger
Strong Convex Nonlinear Relaxations of the Pooling Problem. SIAM J. Optim. 30 (2) (2020)
Alejandra Peña-Ordieres, James R. Luedtke, Andreas Wächter
Solving Chance-Constrained Problems via a Smooth Sample-Based Nonlinear Approximation. SIAM J. Optim. 30 (3) (2020)
Kaiyue Zheng, Laura A. Albert, James R. Luedtke, Eli Towle
A budgeted maximum multiple coverage model for cybersecurity planning and management. IISE Trans. 51 (12) (2019)
Eli Towle, James R. Luedtke
New solution approaches for the maximum-reliability stochastic network interdiction problem. Comput. Manag. Sci. 15 (3-4) (2018)
David Coudert, James R. Luedtke, Eduardo Moreno, Konstantinos Priftis
Computing and maximizing the exact reliability of wireless backhaul networks. Electron. Notes Discret. Math. 64 (2018)
Natashia Boland, Jeffrey Christiansen, Brian C. Dandurand, Andrew C. Eberhard, Jeff T. Linderoth, James R. Luedtke, Fabricio Oliveira
Combining Progressive Hedging with a Frank-Wolfe Method to Compute Lagrangian Dual Bounds in Stochastic Mixed-Integer Programming. SIAM J. Optim. 28 (2) (2018)
Thai Dinh, Ricardo Fukasawa, James R. Luedtke
Exact algorithms for the chance-constrained vehicle routing problem. Math. Program. 172 (1-2) (2018)
Cong Han Lim, Jeff T. Linderoth, James R. Luedtke
Valid inequalities for separable concave constraints with indicator variables. Math. Program. 172 (1-2) (2018)
Merve Bodur, James R. Luedtke
Integer programming formulations for minimum deficiency interval coloring. Networks 72 (2) (2018)
Shabbir Ahmed, James R. Luedtke, Yongjia Song, Weijun Xie
Nonanticipative duality, relaxations, and formulations for chance-constrained stochastic programs. Math. Program. 162 (1-2) (2017)
Mustafa R. Kilinç, Jeff T. Linderoth, James R. Luedtke
Lift-and-project cuts for convex mixed integer nonlinear programs. Math. Program. Comput. 9 (4) (2017)
Merve Bodur, James R. Luedtke
Mixed-Integer Rounding Enhanced Benders Decomposition for Multiclass Service-System Staffing and Scheduling with Arrival Rate Uncertainty. Manag. Sci. 63 (7) (2017)
Merve Bodur, Sanjeeb Dash, Oktay Günlük, James R. Luedtke
Strengthened Benders Cuts for Stochastic Integer Programs with Continuous Recourse. INFORMS J. Comput. 29 (1) (2017)
Burak Kocuk, Hyemin Jeon, Santanu S. Dey, Jeff T. Linderoth, James R. Luedtke, Xu Andy Sun
A Cycle-Based Formulation and Valid Inequalities for DC Power Transmission Problems with Switching. Oper. Res. 64 (4) (2016)
Cong Han Lim, Jeff T. Linderoth, James R. Luedtke
Valid Inequalities for Separable Concave Constraints with Indicator Variables. IPCO (2016)
Alexander Kogan, Miguel A. Lejeune, James R. Luedtke
Erratum to: Threshold Boolean form for joint probabilistic constraints with random technology matrix. Math. Program. 155 (1-2) (2016)
Thai Dinh, Ricardo Fukasawa, James R. Luedtke
Exact Algorithms for the Chance-Constrained Vehicle Routing Problem. IPCO (2016)
Xiao Liu, Simge Küçükyavuz, James R. Luedtke
Decomposition algorithms for two-stage chance-constrained programs. Math. Program. 157 (1) (2016)
Yongjia Song, James R. Luedtke
An Adaptive Partition-Based Approach for Solving Two-Stage Stochastic Programs with Fixed Recourse. SIAM J. Optim. 25 (3) (2015)
Srikrishna Sridhar, Jeffrey T. Linderoth, James R. Luedtke
Models and solution techniques for production planning problems with increasing byproducts. J. Glob. Optim. 59 (2-3) (2014)
James R. Luedtke
A branch-and-cut decomposition algorithm for solving chance-constrained mathematical programs with finite support. Math. Program. 146 (1-2) (2014)
Mustafa R. Kilinç, Jeff T. Linderoth, James R. Luedtke, Andrew Miller
Strong-branching inequalities for convex mixed integer nonlinear programs. Comput. Optim. Appl. 59 (3) (2014)
Yongjia Song, James R. Luedtke, Simge Küçükyavuz
Chance-Constrained Binary Packing Problems. INFORMS J. Comput. 26 (4) (2014)
Mahdi Hamzeei, James R. Luedtke
Linearization-based algorithms for mixed-integer nonlinear programs with convex continuous relaxation. J. Glob. Optim. 59 (2-3) (2014)
Srikrishna Sridhar, Jeff T. Linderoth, James R. Luedtke
Locally ideal formulations for piecewise linear functions with indicator variables. Oper. Res. Lett. 41 (6) (2013)
Yongjia Song, James R. Luedtke
Branch-and-cut approaches for chance-constrained formulations of reliable network design problems. Math. Program. Comput. 5 (4) (2013)
Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff T. Linderoth, James R. Luedtke, Ashutosh Mahajan
Mixed-integer nonlinear optimization. Acta Numer. 22 (2013)
James R. Luedtke, Mahdi Namazifar, Jeff T. Linderoth
Some results on the strength of relaxations of multilinear functions. Math. Program. 136 (2) (2012)
Claudia D'Ambrosio, Jeff T. Linderoth, James R. Luedtke
Valid Inequalities for the Pooling Problem with Binary Variables. IPCO (2011)
Itai Gurvich, James R. Luedtke, Tolga Tezcan
Staffing Call Centers with Uncertain Demand Forecasts: A Chance-Constrained Optimization Approach. Manag. Sci. 56 (7) (2010)
James R. Luedtke, Shabbir Ahmed, George L. Nemhauser
An integer programming approach for linear programs with probabilistic constraints. Math. Program. 122 (2) (2010)
James R. Luedtke
An Integer Programming and Decomposition Approach to General Chance-Constrained Mathematical Programs. IPCO (2010)
James R. Luedtke, George L. Nemhauser
Strategic Planning with Start-Time Dependent Variable Costs. Oper. Res. 57 (5) (2009)
James R. Luedtke, Shabbir Ahmed
A Sample Approximation Approach for Optimization with Probabilistic Constraints. SIAM J. Optim. 19 (2) (2008)
James R. Luedtke
New Formulations for Optimization under Stochastic Dominance Constraints. SIAM J. Optim. 19 (3) (2008)
James R. Luedtke, Shabbir Ahmed, George L. Nemhauser
An Integer Programming Approach for Linear Programs with Probabilistic Constraints. IPCO (2007)
James R. Luedtke, Chelsea C. White III
The value of asset visibility in the supply chain single and dual source models. SMC (5) (2004)

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Publication Activity (10 Years)

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James R. Luedtke