Research Interests
My research interests lie in solving large-scale numerical
optimization problems. Specific areas on which I have worked include
- Mixed-Integer Linear Programming
- Mixed-Integer Nonlinear Programming
- Stochastic Programming
- Global Optimization
- Applications: Energy, Defense, Logistics, Security,
Engineering Design, Biology
My Google scholar profile page has more information about my papers and citations.
Research Publications
Copyright Notice: The documents distributed by this
server have been provided by the contributing authors as a means to
ensure timely dissemination of scholarly work on a noncommercial
basis. Copyright and all rights therein are maintained by the authors
and/or by other copyright holders, notwithstanding that they have
offered their works here electronically. It is understood that all
persons copying this information will adhere to the terms and
constraints invoked by the authors and other copyright holders. These
works may not be reposted without the explicit
permission of the copyright holders.
Submitted Papers
- A. Soni, J. Linderoth, J. Luedtke, and D. Pimentel-Alarcon, "An Integer Programming Approach To Subspace Clustering With Missing Data," Submitted, 2023.
arXiv
- A. Del Pia, J. Linderoth, and H. Zhu, "Relaxations and Cutting Planes for Linear Programs with Complementarity Constraints," Submitted, 2022.
arXiv
- A. Raghunathan and J. Linderoth, "Stability Analysis of Discrete-Time Linear Complementarity Systems," Submitted, 2020.
Preprint at Optimization Online
Journal Publications
- C. Michini, P. Ohmann, B. Libit, and J. Linderoth, "A Set Covering Approach to Customized Coverage Instrumentation," INFORMS Journal on Computing, 36-1: 21-38, 2024.
Publisher Site
- A. Del Pia, J. Linderoth, and H, Zhu, "On the Complexity of Separating Cutting Planes for the Knapsack Polytope," Mathematical Programming, Series B, 2023.
Publisher Site
arXiv
- A. Del Pia, J. Linderoth, and H. Zhu, "Multi-cover Inequalities for Totally-Ordered Knapsack Sets," Mathematical Programming, Series B, 197:847-875, 2023.
Publisher Site
Preprint at Optimization Online
- Z. Peng, D. Baum, and J. Linderoth, "The Hierarchical Organization of Autocatalytic Reaction Networks and its Relevance to Origin of Life," PLOS Computational Biology, 2022.
Publisher Site
- A. Mahajan, S. Leyffer, J. Linderoth, J, Luedtke, and T. Munson, "Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit", Mathematical Programming Computation,13:301-338, 2021.
Publisher Site
Preprint at Optimization Online
- A. Gleixner, G. Hendel, G. Gamrath, T. Achterberg, M. Bastubbe, T. Berthold, P. M. Christophel, K. Jarck, T. Koch, J. Linderoth, M. Lubbecke, H. D. Mittelmann, D. Ozyurt, T. K. Ralphs, D. Salvagnin, and Y. Shinano, "MIPLIB 2017: Data-Driven Compilation of the 6th Mixed-Integer Programming Library," Mathematical Programming Computation, 13-3:443-490, 2021.
Publisher Site
Preprint at Optimization Online
- C. Lim, J. Linderoth, J. Luedtke, and S. J. Wright,
"Parallelizing Subgradient Methods for the Lagrangian Dual in
Stochastic Mixed-Integer Programming," INFORMS Journal on Optimization, 3-1:1-22, 2021.
Publisher Site
Preprint at Optimization Online
- K. Sundar, H. Nagarajan, S. Wang, J. Linderoth, and R. Bent, "Piecewise Polyhedral Formulations for a Multilinear Term", Operations Research Letters, 49-1:144-149, 2021.
Publisher Site
Preprint at arXiv
- J. Linderoth, J. Nunez Ares, J. Ostrowski, F. Rossi, and
S. Smriglio, "Orbital Conflict: Cutting Planes for Symmetric
Integer Programs," INFORMS Journal on Optimization, 3-2:139-153, 2021.
Publisher Site
Preprint at Optimization Online
Instances (tar.gz) from paper
- A. Del Pia, D. Gijswijt, J. Linderoth, and H. Zhu, "Integer Packing Sets
Form a Well-Quasi-Ordering," 49-2, 226-230, 2021.
Publisher Site
Preprint at Optimization Online
- A. Smith, J. Linderoth, and J. Luedtke, "Optimization-Based
Dispatching Policies for Open-Pit Mining," Optimization and Engineering, accepted, 2020.
Publisher Site
Preprint at Optimization Online
- A. Soni, J. Linderoth, J. Luedtke, and F. Rigterink, "Mixed-Integer Linear Programming for Scheduling Unconventional Oil
Field Development," Optimization and Engineering, accepted, 2021.
PDF from Publisher Site
Preprint at Optimization Online
- J. Luedtke, C. D'Ambrosio, J. Linderoth, and J. Schweiger, "Strong Convex Nonlinear Relaxations of the Pooling Problem," SIAM Journal on Optimization, 30:1582-1609, 2020.
Publisher Site
Preprint at Optimization Online
-
C. Lim, J. Linderoth, and J. Luedtke, "Valid Inequalities for
Separable Concave Constraints with Indicator Variables",
Mathematical Programming, Series B, 172:415-442, 2018.
Springer Site
Paper
-
P. Bonami and O. Gunluk and J. Linderoth, "Globally Solving
Nonconvex Quadratic Programming Problems with Box Constraints Via Integer Programming Methods," Mathematical Programming Computation, 10-3:333-382, 2018. Honorable Mention, Best Paper in Mathematical Programming Computation in 2018
MPC Site
Preprint at Optimization Online
-
N. Boland, J, Christiansen, B. Dandurand, A. Eberhard, J. Linderoth,
J. Luedtke, F. Oliveira, "Combining Progressive Hedging with a
Frank-Wolfe Method to Compute Lagrangian Dual Bounds in Stochastic
Mixed-Integer Programming", SIAM Journal on Optimization 28-2:1312-1336, 2018.
SIOPT Site
Preprint at Optimization Online
-
M. Kilinc, J. T. Linderoth, and J. Luedtke, "Effective
Separation of Disjunctive Cuts for Convex Mixed Integer Nonlinear
Programs", Mathematical Programming Computation, Mathematical Programming Computation 9:499-526, 2017.
MPC Site
-
H. Jeon, J. Linderoth, and A. Miller, "Quadratic Cone Cutting
Surfaces for Quadratic Programs with On-Off Constraints", Discrete Optimization, 24:32-50, 2017.
DO Site
Preprint at Optimization Online
-
E. Anderson and J. Linderoth, "High
Throughput Computing for Massive Scenario Analysis and Optimization
to Minimize Cascading Blackout Risk", IEEE Transactions on Smart Grid, 8:1427-1435, 2017.
IEEE Site
Preprint
at Optimization Online
-
G. Arastoopour, N. Chesler, J. Linderoth, and D. Williamson
Shaffer, "Data-Enabled Cognitive Modeling: Validating Student
Engineers' Fuzzy Design-based Decision-making", Computer
Applications in Engineering Education, 2017.
Wiley Site
-
B. Kocuk, H. Jeon, S. Dey, J. Linderoth, J. Luedtke, and A. Sun,
"A Cycle-Based Formulation and Valid Inequalities for DC Power
Transmission Problems with Switching", Operations Research, to appear, 2016.
OR Site
Preprint
at Optimization Online
- O. Alagoz, M. Ayvaci, and J. T. Linderoth, "Optimally Solving
Markov Decision Processes with Total Expected Discounted Reward
Function: Linear Programming Revisited", Computers &
Industrial Engineering, 87:311-316, 2015.
Computers & Industrial Engineering Site
-
M. Kilinc, J. Linderoth, J. Luedtke, and A. Miller
"Strong Branching Inequalities for Convex Mixed Integer Nonlinear
Programs", Computational Optimization and Applications
59:639-665, 2014.
COAP Site
Preprint
-
S. Sridhar, J. Linderoth, and J. Luedtke, "Models and Solution
Techniques for Production Planning Problems with Increasing
Byproducts", Journal of Global Optimization, 59:597-631, 2014.
JOGO Site
Tech Report
-
S. Sridhar, J. Linderoth, and J. Luedtke, "Locally Ideal
Formulations for Piecewise Linear Functions with Indicator
Variables", Operations Research Letters, 41:627-632, 2013.
OR Letters Site
Tech Report
-
P. Belotti, C. Kirches, S. Leyffer, J. Linderoth, J. Luedtke,
and A. Mahajan, "Mixed-Integer Nonlinear Optimization", Acta
Numerica, 22:1-131, 2013.
Acta Numerica Site
Tech Report
-
T. Wu, A. Davoodi, and J. T. Linderoth, "Power-Driven Global
Routing for Multi-Supply Voltage Domains", VLSI Design
2013:1-12, 2013.
Journal Paper
-
J. Luedtke, M. Namazifar, and J. T. Linderoth, "Some Results on
the Strength of Relaxations of Multilinear Functions",
Mathematical Programming, Series B, 136:325-351, 2012.
Math Programming Site
Tech Report
-
M. Freimer, J. T. Linderoth, and D. Thomas, "The Impact of Sampling
Methods on Bias and Variance in Stochastic Linear Programs", Computational
Optimization and Applications, 51:51-75, 2012.
COAP Site
Tech Report
-
J. Ostrowski, J. T. Linderoth, F. Rossi, and S. Smriglio, "Orbital
Branching," Mathematical Programming, 126:147-178, 2011.
Math
Programming Site
Tech Report
-
M. Altunay, S. Leyffer, J. T. Linderoth, and Z. Xie, "Optimal
Responses to Attacks on the Open Science Grid," Computer
Networks, 55:61-73, 2011.
Journal Site
Preprint
-
J. Ostrowski, J. T. Linderoth, F. Rossi, and S. Smriglio, "Solving
Large Steiner Triple Covering Problems," Operations Research
Letters, 39:127-131, 2011.
Journal Site
Tech Report
-
T. Wu, A. Davoodi, and J. T. Linderoth, "GRIP: Global Routing via
Integer Programming", IEEE Transactions on Computer Aided
Design, 30:72-84, 2011.
Journal Site
Preprint
-
B. Gemici, J. T. Linderoth S. D. Wu, and J. Moore, "R&D Project
Portfolio Analysis for the Semiconductor Industry," Operations
Research, 58:1548-1563, 2010.
Journal Site
Preprint
-
K. Abhishek, S. Leyffer, and J. T. Linderoth, "FilMINT: An Outer
Approximation-Based Solver for Convex Mixed-Integer Nonlinear
Programs", INFORMS Journal on Computing, 22:555-567, 2010.
IJOC Site
Preprint
-
O. Gunluk and J. T. Linderoth, "Perspective Relaxation of Mixed
Integer Nonlinear Programs with Indicator Variables,"
Mathematical Programming, Series B, Vol. 104, pp. 183-206, 2010.
Math
Programming Site
Tech Report
-
K. Abhishek, S. Leyffer, and J. T. Linderoth, "Modeling without
Categorical Variables: A Mixed-Integer Nonlinear Program for the
Optimization of Thermal Insulation Systems," Optimization and
Engineering, Vol. 11, pp. 185-212, 2010.
OPTE Site
Preprint
-
J. Linderoth, F. Margot, and G. Thain, "Improving Bounds on the
Football Pool Problem via Symmetry Reduction and High-Throughput
Computing," INFORMS Journal on Computing, Vol. 21, pp. 445-457,
2009
IJOC Site
Tech Report
-
W. Glankwamdee, J. Linderoth, J. Shen, P. Connard, and J. Hutton,
"Combining Optimization and Simulation for Strategic and Operational
Industrial Gas Production and Distribution," Computers and
Chemical Engineering, Vol. 32, Issue 11, pp. 2536-2546, 2008.
Tech Report
-
U. Janjarassuk and J. T. Linderoth, "Reformulation and Sampling to
Solve a Stochastic Network Interdiction Problem", Networks,
Volume 52, Issue 3, pp. 120-132, 2008.
Networks Site
Tech Report
-
J. T. Linderoth, A. Shapiro, and S. J. Wright, ``The Empirical Behavior of
Sampling Methods for Stochastic Programming'', Annals of Operations
Research, Vol. 142, pp. 219-245, 2006.
Paper
-
J. T. Linderoth, ``A Simplicial Branch-and-Bound Algorithm for Solving
Quadratically Constrained Quadratic Programs'', Mathematical
Programming, Series B, Vol. 103, pp. 251-282, 2005.
Paper
-
J. T. Linderoth and S. J. Wright, "Implementing a Decomposition
Algorithm for Stochastic Programming on a Computational Grid,"
Computational Optimization and Applications, Vol. 24
pp. 207-250, 2003.
COAP Best Paper of 2003
Paper
-
K. Anstreicher and N. Brixius and J.-P. Goux and J. T. Linderoth,
"Solving Large Quadratic Assignment Problems on Computational
Grids," Mathematical Programming, Series B, Vol. 91,
pp. 563-588, 2002.
2002 SIAM Activity Group on Optimization Prize
Paper
-
P. Bauer, J. T. Linderoth, and M. W. P. Savelsbergh, "A Branch and
Cut Approach to the Cardinality Constrained Circuit Problem,"
Mathematical Programming, Vol. 9m pp. 307-348, 2002.
Paper
-
J. T. Linderoth, E. K. Lee, and M. W. P. Savelsbergh, "A
Parallel, Linear Programming Based Heuristic for Large Scale Set
Partitioning Problems," INFORMS Journal on Computing, Vol. 13,
pp. 191-209, 2001.
Paper
-
J.-P Goux, S. Kulkarni, J. T. Linderoth, and M. E. Yoder,
``Master-Worker: An Enabling Framework for Applications
on the Computational Grid'', Cluster Computing, Vol. 4,
pp. 63-70, 2001.
Preprint
-
Q. Chen, M. Ferris, and J. T. Linderoth, "FATCOP 2.0: Advanced
Features in an Opportunistic Mixed Integer Programming Solver,"
Annals of Operations Research Vol. 103, pp. 17-32, 2001.
Paper
-
A. Atamturk, E. L. Johnson, J. T. Linderoth and
M. W. P. Savelsbergh, "A Relational Modeling System for Linear and
Integer Programming," Operations Research, Vol. 48, pp.846-857,
2000.
Paper
-
J. T. Linderoth and M. W. P. Savelsbergh, "A Computational Study of
Branch and Bound Search Strategies for Mixed Integer Programming,"
INFORMS Journal on Computing, Vol. 11, pp. 173-187, 1999.
Paper
Book Chapters
-
O. Gunluk and J. T. Linderoth, "Perspective Reformulation and
Applications," IMA Volumes in Mathematics and its Applications, 154:61-92, 2012.
Publisher Site
Preprint
-
P. Bonami, M. Kilinc, and J. T. Linderoth, "Algorithms and
Software for Solving Convex Mixed Integer Nonlinear Programs,"
IMA Volumes in Mathematics and its Applications, 154:1-40, 2012.
Publisher Site
Preprint
-
P. Bonami, J. Linderoth, and A. Lodi, "Disjunctive Cuts for
Mixed Integer Nonlinear Programming Problems," Chapter 18 in
Progress in Combinatorial Optimization, ISTe-Wiley, 521-541, 2012.
Publisher Site
Preprint
-
A. Lodi and J. T. Linderoth, "MILP Software,"
Encyclopedia for Operations Research and Management Science,
Wiley, 3239-3248, 2011.
Preprint
-
W. Glankwamdee and J. T. Linderoth, ``MW: A Software Framework for
Combinatorial Optimization on Computational Grids,'' E. Talbi,
(ed). Parallel Combinatorial Optimization, John Wiley &
Sons, 239-261, 2006.
Tech Report
-
J. T. Linderoth and T. K. Ralphs, "Noncommercial Software for
Mixed-Integer Linear Programming", J. Karlof (ed). Integer
Programming: Theory and Practice, CRC Press Operations Research
Series, 2005, 253-303.
Tech Report
-
J. T. Linderoth and S. J. Wright, "Computational Grids for Stochastic
Programming," S. Wallace and W. Ziemba (eds). Applications of Stochastic
Programming, SIAM Mathematical Series on Optimization, 2005, 61-77.
Preprint
Conference Proceedings
-
V. Sawkmie and J. Linderoth, "Flexible Resource Job Scheduling---A Mixed Integer Programming Approach," Proceedings of the INFORMS Optimization Society Conference, 2024.
PDF
-
Z. Ma and J. Linderoth, "Branching in the Dual Decomposition Method for Stochastic Integer Programs," Proceedings of the INFORMS Optimization Society Conference, 2024.
PDF
- A. Del Pia, J. Linderoth, and H. Zhu, "New Classes of Facets for Complementarity Knapsack Problems," ISCO 2022: International Symposium on Combinatorial Optimization, Lecture Notes in Computer Science, Vol. 13526, Springer, 3-21, 2022.
Publisher Site
- A. Del Pia, J. Linderoth, and H. Zhu, "On the Complexity of Separation From the Knapsack Polytope," IPCO 2022: The 23nd Conference on Integer Programming and Combinatorial Optimization, Lecture Notes in Computer Science, Vol. 13265, Springer, 2022.
Publisher Site
- A. Soni, J. Linderoth, J. Luedtke, and D. Pimentel-Alarcon, "Integer Programming Approaches To Subspace Clustering With Missing Data," OPT2021: 13th Annual Workshop on Optimization for Machine Learning, 2021
Paper
- A. Del Pia, J. Linderoth, and H. Zhu, "Multi-cover Inequalities for Totally-Ordered Multiple Knapsack Sets,"
IPCO 2021: The 22nd Conference on Integer Programming and Combinatorial Optimization, Lecture Notes in Computer Science, Vol. 12707, Springer, 193-207, 2021.
Publisher Site
arXiv
D. Bowman, Z. Swiecki, Z. Cai, Y. Wang, B. Eagan, J. Linderoth,
D. Williamson Shaffer and A. Ruis, "The Mathematical Foundations of
Epistemic Network Analysis," Second International Conference on
Quantitative Ethnograph (ICQE) 2021, Communications in Computer and Information Science, Vol. 1312, 91-105, 2021.
Publisher Site
-
P. Ohmann, D. Bingham Brown, N. Neelakandan, J. Linderoth, and
B. Liblit, "Optimizing Customized Program Coverage",
31st IEEE/ACM International Conference on Automated Software
Engineering (ASE 2016), 27-38, 2016.
ACM Site
- C. Lim, J. Linderoth, and J. Luedtke, "Valid Inequalities for
Separable Concave Constraints with Indicator Variables",
IPCO 2016: The Eighteenth Conference on Integer Programming and
Combinatorial Optimization, Lecture Notes in Computer
Science, Vol. 9682, Springer, 275-286, 2016.
Preprint at Optimization Online
N. Cho and J.T. Linderoth, "Row-Partition Branching for Set
Partitioning Problems," Proceedings of the INFORMS
Computing Society Meeting, 2015.
Publication
- H. Dong and J. T. Linderoth, "On Valid Inequalities for
Quadratic Programming with Continuous Variables and Binary
Indicators," IPCO 2013: The Sixteenth Conference on Integer
Programming and Combinatorial Optimization, Lecture Notes in Computer
Science, Vol. 7801, Springer, 169-180, 2013.
Preprint
- H. Shojaei, A. Davoodi, and J. T. Linderoth, "Planning for
Local Net Congestion in Global Routing", ISPD: The
International Symposium on Physical Design, 85-92, 2013.
Preprint
- H. Shojaei, A. Davoodi, and J. T. Linderoth , "Congestion
Analysis for Global Routing via Integer Programming,"
International Conference on Computer-Aided Design (ICCAD),
256-262, 2011.
Preprint
-
C. D'Ambrosio, J. T. Linderoth, and J. Luedtke, "Valid
Inequalities for the Pooling Problem with Binary Variables,"
IPCO 2011: The Fifteenth Conference on Integer Programming and
Combinatorial Optimization, Lecture Notes in Computer
Science, Vol. 6655, Springer, 117-129, 2011.
Tech Report
-
G. Nannicini, P. Belotti, J. Lee, J. Linderoth, F. Margot, and
A. Wachter, "A Probing Algorithm for MINLPs With Early
Detection of Failures by SVM," CPAIOR 2011: The 8th
International Conference on Integration of Artificial Intelligence
and Operations Research, Lecture Notes in Computer
Science, Vol. 6697, Springer, 154-169, 2011.
Tech Report
-
T. Wu, A. Davoodi, and J. T. Linderoth, "Power-driven global
routing for MSV domains,"
Proceedings of Design, Automation and Test in Europe (DATE
'11), 443-448, 2011.
Paper
-
W. Glankwamdee and J. T. Linderoth, "Lookahead Branching for Mixed
Integer Programming," Proceedings of the Twelfth INFORMS
Computing Society Meeting, 130-150, 2011.
Preprint
-
T. Wu, A. Davoodi, and J. T. Linderoth, "A Parallel Integer
Programming Approach to Global Routing," Proceedings of the
47th Design Automation Conference, 194-199, 2010. Best
paper nominee.
Preprint
-
T. Wu, A. Davoodi, and J. T. Linderoth, "GRIP: Scalable ILP for 3D
Global Routing," Proceedings of the 46th Design Automation
Conference, pp. 320-325, 2009.
Paper
-
J. Ostrowski, J. Linderoth, F. Rossi, and S. Smriglio, "Constraint
Orbital Branching," IPCO 2008: The Thirteenth Conference on Integer
Programming and Combinatorial Optimization, Lecture Notes in Computer
Science, Vol. 5035, pp. 225-239, 2008.
Tech Report
-
O. Gunluk and J. T. Linderoth, "Perspective Relaxation of Mixed
Integer Nonlinear Programs with Indicator Variables",
IPCO 2008: The Thirteenth Conference on Integer Programming and
Combinatorial Optimization, Lecture Notes in Computer Science,
Vol. 5035, pp. 1-16, 2008.
preprint
-
J. Ostrowski, J. T. Linderoth, F. Rossi, and S. Smirglio,
"Orbital Branching", IPCO 2007: The Twelfth Conference on Integer
Programming and Combinatorial Optimization, Lecture Notes in Computer
Science, Vol. 4517, pages 104-118, 2007.
Paper
-
J.-P Goux, S. Kulkarni, J. T. Linderoth, and M. E. Yoder, "An
Enabling Framework for Master-Worker Applications on the Computational
Grid," Proceedings of the Ninth IEEE International Symposium on
High Performance Distributed Computing, pp. 43-50, 2000.
Preprint
Old Technical Reports
-
J. Linderoth, F. Margot, and G. Thain, "The Tera-Gridiron:
A Natural Turf for High-Throughput Computing," Technical Report 07T-001,
Industrial and Systems Engineering, Lehigh University, 2007.
Tech Report
-
Clara Novoa, Rosemary Berger, Jeff Linderoth, and Robert Storer, "A
Set-Partitioning-Based Model for the Stochastic Vehicle Routing
Problem", Technical Report 06T-008, Industrial and Systems
Engineering, Lehigh University, 2006.
Tech Report
-
J.-P Goux, J. T. Linderoth, and M. E. Yoder, "Metacomputing and the
Master-Worker Paradigm," Preprint ANL/MCS-P792-0200, Mathematics and
Computer Science Division, Argonne National Laboratory, 2000.
Preprint
-
J. T. Linderoth and S. A. Burns, "Performance of Simulated Annealing
as a Circuit Placement Optimization Method," UIUC Department of
General Engineering Report 91-04, UIL U-ENG-91-3206, 1991.
Other
-
H. Dong, K. Chen, and J. Linderoth, "Regularization vs. Relaxation: A Conic Optimization Perspective of Statistical Variable Selection", Submitted, 2015.
Preprint at Optimization Online
-
J. Chen, C. Lim, P. Qian, J. Linderoth, and S. J. Wright,
"Validating Sample Average Approximation Solutions with Negatively
Dependent Batches", Submitted, 2014
Preprint
at Optimization Online
-
S. Leyffer, J. T. Linderoth, J. Luedtke, A. Miller, and T. Munson,
"Applications and Algorithms for Mixed Integer Nonlinear Programming,"
Journal of Physics: Conference Series, Vol. 180, 2009.
Preprint
-
J. T. Linderoth, Topics in Parallel Integer Optimization, PhD
Thesis, Georgia Institute of Technology, 1998.
(PDF)
-
L. Clarke, J. T. Linderoth, E. L. Johnson, G. L. Nemhauser, R.
Bhagavan, and M. Jordan, "Using OSL to Improve the Computational
Results of a MIP Logistics Model," EKKNEWS, 16 (1995).
(PDF)