Jeff T. Linderoth

发表

Special issue on “Integer programming under uncertainty”

Shabbir Ahmed, Jeff T. Linderoth, 2016, Math. Program..

Quadratic cone cutting surfaces for quadratic programs with on-off constraints

Jeff T. Linderoth, Hyemin Jeon, Andrew Miller, 2017, Discret. Optim..

Planning for local net congestion in global routing

Azadeh Davoodi, Jeff T. Linderoth, Hamid Shojaei, 2013, ISPD '13.

Improving Bounds on the Football Pool Problem by Integer Programming and High-Throughput Computing

Jeff T. Linderoth, François Margot, Greg Thain, 2009, INFORMS J. Comput..

Reformulation and sampling to solve a stochastic network interdiction problem

Jeff T. Linderoth, Udom Janjarassuk, U. Janjarassuk, 2008, Networks.

A Parallel, Linear Programming-based Heuristic for Large-Scale Set Partitioning Problems

Martin W. P. Savelsbergh, Eva K. Lee, Jeff T. Linderoth, 2001, INFORMS J. Comput..

Constraint Orbital Branching

Jeff T. Linderoth, Fabrizio Rossi, Stefano Smriglio, 2008, IPCO.

Optimizing customized program coverage

Jeff T. Linderoth, Ben Liblit, Peter Ohmann, 2016, 2016 31st IEEE/ACM International Conference on Automated Software Engineering (ASE).

Combining optimization and simulation for strategic and operational industrial gas production and distribution

Jeff T. Linderoth, Peter Connard, Wasu Glankwamdee, 2008, Comput. Chem. Eng..

A Cycle-Based Formulation and Valid Inequalities for DC Power Transmission Problems with Switching

James R. Luedtke, Jeff T. Linderoth, Hyemin Jeon, 2014, Oper. Res..

Regularization vs. Relaxation: A conic optimization perspective of statistical variable selection pdf

Jeff T. Linderoth, Kun Chen, Hongbo Dong, 2015, ArXiv.

A parallel integer programming approach to global routing

Azadeh Davoodi, Jeff T. Linderoth, Tai-Hsuan Wu, 2010, Design Automation Conference.

Power-driven global routing for multi-supply voltage domains

Azadeh Davoodi, Jeff T. Linderoth, Tai-Hsuan Wu, 2011, 2011 Design, Automation & Test in Europe.

A branch and cut approach to the cardinality constrained circuit problem

Martin W. P. Savelsbergh, Jeff T. Linderoth, Petra Bauer, 2002, Math. Program..

Some results on the strength of relaxations of multilinear functions

James R. Luedtke, Jeff T. Linderoth, Mahdi Namazifar, 2012, Math. Program..

Globally solving nonconvex quadratic programming problems with box constraints via integer programming methods

Oktay Günlük, Jeff T. Linderoth, Pierre Bonami, 2018, Math. Program. Comput..

A procedure for improving the distribution of congestion in global routing

Azadeh Davoodi, Jeff T. Linderoth, Daohang Shi, 2016, 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE).

The empirical behavior of sampling methods for stochastic programming

Alexander Shapiro, Stephen J. Wright, Jeff T. Linderoth, 2006, Ann. Oper. Res..

The impact of sampling methods on bias and variance in stochastic linear programs

Jeff T. Linderoth, Douglas J. Thomas, Michael Freimer, 2012, Comput. Optim. Appl..

Valid inequalities for separable concave constraints with indicator variables

James R. Luedtke, Jeff T. Linderoth, Cong Han Lim, 2016, IPCO.

Models and solution techniques for production planning problems with increasing byproducts

James R. Luedtke, Jeff T. Linderoth, Srikrishna Sridhar, 2014, J. Glob. Optim..

OR PRACTICE - R&D Project Portfolio Analysis for the Semiconductor Industry

Jeff T. Linderoth, S. David Wu, Banu Gemici-Ozkan, 2010, Oper. Res..

A Probing Algorithm for MINLP with Failure Prediction by SVM

Pietro Belotti, Giacomo Nannicini, Jeff T. Linderoth, 2011, CPAIOR.

Decomposition Algorithms for Stochastic Programming on a Computational Grid

Stephen J. Wright, Jeff T. Linderoth, 2001, Comput. Optim. Appl..

GRIP: Scalable 3D global routing using Integer Programming

Azadeh Davoodi, Jeff T. Linderoth, Tai-Hsuan Wu, 2009, 2009 46th ACM/IEEE Design Automation Conference.

Strong-branching inequalities for convex mixed integer nonlinear programs

James R. Luedtke, Jeff T. Linderoth, Andrew Miller, 2014, Comput. Optim. Appl..

Combining Progressive Hedging with a Frank-Wolfe Method to Compute Lagrangian Dual Bounds in Stochastic Mixed-Integer Programming

Andrew C. Eberhard, James R. Luedtke, Natashia Boland, 2017, SIAM J. Optim..

Perspective Relaxation of Mixed Integer Nonlinear Programs with Indicator Variables

Oktay Günlük, Jeff T. Linderoth, O. Günlük, 2008, IPCO.

A Computational Study of Search Strategies for Mixed Integer Programming

Martin W. P. Savelsbergh, Jeff T. Linderoth, M. Savelsbergh, 1999, INFORMS J. Comput..

FATCOP 2.0: Advanced Features in an Opportunistic Mixed Integer Programming Solver

Qun Chen, Michael C. Ferris, Jeff T. Linderoth, 2001, Ann. Oper. Res..

Optimally solving Markov decision processes with total expected discounted reward function: Linear programming revisited

Oguzhan Alagöz, Jeff T. Linderoth, Mehmet Ayvaci, 2015, Comput. Ind. Eng..

Optimal response to attacks on the open science grid

Zhen Xie, Sven Leyffer, Jeff T. Linderoth, 2011, Comput. Networks.

Solving large quadratic assignment problems on computational grids

Jeff T. Linderoth, Kurt M. Anstreicher, Jean-Pierre Goux, 2002, Math. Program..

Solving large Steiner Triple Covering Problems

Jeff T. Linderoth, Fabrizio Rossi, Stefano Smriglio, 2011, Oper. Res. Lett..

FilMINT: An Outer Approximation-Based Solver for Convex Mixed-Integer Nonlinear Programs

Sven Leyffer, Kumar Abhishek, Jeff T. Linderoth, 2010, INFORMS J. Comput..

Lift-and-project cuts for convex mixed integer nonlinear programs

James R. Luedtke, Jeff T. Linderoth, Mustafa R. Kilinç, 2017, Math. Program. Comput..

Master–Worker: An Enabling Framework for Applications on the Computational Grid

Jeff T. Linderoth, Sanjeev Kulkarni, Jean-Pierre Goux, 2001, Cluster Computing.

Optimization on grids - optimization for grids

Roberto Musmanno, Jeff T. Linderoth, 2006, Parallel Comput..

A simplicial branch-and-bound algorithm for solving quadratically constrained quadratic programs

Jeff T. Linderoth, 2005, Math. Program..

GRIP: Global Routing via Integer Programming

Azadeh Davoodi, Jeff T. Linderoth, Tai-Hsuan Wu, 2011, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Valid Inequalities for the Pooling Problem with Binary Variables

James R. Luedtke, Jeff T. Linderoth, Claudia D'Ambrosio, 2011, IPCO.

A Relational Modeling System for Linear and Integer Programming

Martin W. P. Savelsbergh, Alper Atamtürk, Ellis L. Johnson, 2000, Oper. Res..

Orbital branching

Jeff T. Linderoth, Fabrizio Rossi, Stefano Smriglio, 2007, Math. Program..

An enabling framework for master-worker applications on the Computational Grid

Jeff T. Linderoth, Sanjeev Kulkarni, Jean-Pierre Goux, 2000, Proceedings the Ninth International Symposium on High-Performance Distributed Computing.

Valid inequalities for separable concave constraints with indicator variables

James R. Luedtke, Jeff T. Linderoth, Cong Han Lim, 2018, Math. Program..

Perspective reformulations of mixed integer nonlinear programs with indicator variables

Oktay Günlük, Jeff T. Linderoth, O. Günlük, 2010, Math. Program..

COAP 2003 Best Paper Award

Jeff T. Linderoth, Steven J. Wright, 2004, Comput. Optim. Appl..

Designing and Implementing Algorithms for Mixed-Integer Nonlinear Optimization (Dagstuhl Seminar 18081)

Ambros M. Gleixner, Jeff T. Linderoth, Ruth Misener, 2018, Dagstuhl Reports.

Congestion analysis for global routing via integer programming

Azadeh Davoodi, Jeff T. Linderoth, Hamid Shojaei, 2011, 2011 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

Locally ideal formulations for piecewise linear functions with indicator variables

James R. Luedtke, Jeff T. Linderoth, Srikrishna Sridhar, 2013, Oper. Res. Lett..

Orbital Branching

Jeff T. Linderoth, Fabrizio Rossi, Stefano Smriglio, 2007, IPCO.

Power-Driven Global Routing for Multisupply Voltage Domains

Azadeh Davoodi, Jeff T. Linderoth, Tai-Hsuan Wu, 2013, VLSI Design.

On Valid Inequalities for Quadratic Programming with Continuous Variables and Binary Indicators

Jeff T. Linderoth, Hongbo Dong, 2013, IPCO.

Data‐enabled cognitive modeling: Validating student engineers’ fuzzy design‐based decision‐making in a virtual design problem

David Williamson Shaffer, Jeff T. Linderoth, Naomi C. Chesler, 2017, Comput. Appl. Eng. Educ..

FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs

Jeff T. Linderoth, S. Leyffer, K. Abhishek, 2008 .

RELAXATION OF MINLPS WITH INDICATOR VARIABLES

Jeff T. Linderoth, O. Günlük, 2007 .

MILP Software

Jeff T. Linderoth, A. Lodi, Andrea Lodi, 2010 .

Mixed-integer nonlinear optimization*†

Christian Kirches, Sven Leyffer, James R. Luedtke, 2013, Acta Numerica.

Algorithms and Software for Convex Mixed Integer Nonlinear Programs

Jeff T. Linderoth, Mustafa R. Kilinç, P. Bonami, 2012 .

Effective separation of disjunctive cuts for convex mixed integer nonlinear programs

James R. Luedtke, Jeff T. Linderoth, M. Kilinç, 2010 .

Lookahead Branching for Mixed Integer Programming

Jeff T. Linderoth, W. Glankwamdee, 2011, ICS 2011.

Solving Box-Constrained Nonconvex Quadratic Programs

Jeff T. Linderoth, P. Bonami, O. Günlük, 2016 .

Reformulation and sampling to solve a stochastic network interdiction problem

Jeff T. Linderoth, U. Janjarassuk, 2008 .

Chapter 1 Computational Grids for Stochastic Programming

Stephen J. Wright, Jeff T. Linderoth, 2022 .

Disjunctive Cuts for Mixed Integer Nonlinear Programming Problems

Andrea Lodi, Jeff Linderoth, Jeff T. Linderoth, 2012 .

Improving Bounds on the Football Pool Problem via Symmetry Reduction and High-Throughput Computing

Jeff T. Linderoth, F. Margot, G. Thain, 2007 .

Final Report---Optimization Under Nonconvexity and Uncertainty: Algorithms and Software

Jeff T. Linderoth, 2011 .

Stability Analysis of Discrete-Time Linear Complementarity Systems

Jeff T. Linderoth, A. Raghunathan, 2020, 2012.13287.

Lookahead Branching for Mixed Integer Programming Wasu Glankwamdee

Jeff T. Linderoth, 2004 .

The hierarchical organization of autocatalytic reaction networks and its relevance to the origin of life

Jeff T. Linderoth, D. Baum, Zhen Peng, 2022, PLoS Comput. Biol..

Valid inequalities for separable concave constraints with indicator variables

James R. Luedtke, Jeff T. Linderoth, Cong Han Lim, 2017, Mathematical Programming.

The impact of sampling methods on bias and variance in stochastic linear programs

Jeff T. Linderoth, Douglas J. Thomas, M. Freimer, 2010, Computational Optimization and Applications.

Strong-branching inequalities for convex mixed integer nonlinear programs

James R. Luedtke, Jeff T. Linderoth, Mustafa R. Kilinç, 2014, Computational Optimization and Applications.

MIPLIB 2017: data-driven compilation of the 6th mixed-integer programming library

Timo Berthold, Hans D. Mittelmann, Ambros M. Gleixner, 2021, Mathematical Programming Computation.

Title : A mechanism of abiogenesis based on complex reaction networks organized by seed-dependent autocatalytic systems Author Line

Jeff T. Linderoth, D. Baum, Zhenqi Peng, 2021 .

High Throughput Computing for Massive Scenario Analysis and Optimization to Minimize Cascading Blackout Risk

Jeff Linderoth, Jeff T. Linderoth, Eric James Anderson, 2017, IEEE Transactions on Smart Grid.

Strong Convex Nonlinear Relaxations of the Pooling Problem

James R. Luedtke, Jeff T. Linderoth, Jeff Linderoth, 2018, SIAM J. Optim..

Validating Sample Average Approximation Solutions with Negatively Dependent Batches

Stephen J. Wright, Jeff T. Linderoth, Peter Z. G. Qian, 2014, 1404.7208.

Minotaur: a mixed-integer nonlinear optimization toolkit

Sven Leyffer, Jeff Linderoth, James R. Luedtke, 2021, Math. Program. Comput..

MW: A Software Framework for Combinatorial Optimization on Computational Grids

Jeff Linderoth, Jeff T. Linderoth, Wasu Glankwamdee, 2006 .

Parallelizing Subgradient Methods for the Lagrangian Dual in Stochastic Mixed-Integer Programming

Stephen J. Wright, Jeff Linderoth, James R. Luedtke, 2021 .

5. Computational Grids for Stochastic Programming

Stephen J. Wright, Jeff Linderoth, Jeff T. Linderoth, 2005, Applications of Stochastic Programming.

Applications and algorithms for mixed integer nonlinear programming

Sven Leyffer, Jeff Linderoth, James R. Luedtke, 2009 .

Mixed-integer linear programming for scheduling unconventional oil field development

James R. Luedtke, Jeff T. Linderoth, Jeff Linderoth, 2020 .

Measuring the Complexity of Simulated Engineering Design Problems

David Williamson Shaffer, Jeff T. Linderoth, Golnaz Arastoopour, 2015 .

The Mathematical Foundations of Epistemic Network Analysis

Jeff T. Linderoth, Brendan R. Eagan, D. Shaffer, 2020, ICQE.

Noncommercial Software for Mixed-Integer Linear Programming

Jeff Linderoth, Jeff T. Linderoth, Ted K. Ralphs, 2005 .

Perspective Reformulation and Applications

Oktay Günlük, Jeff T. Linderoth, Jeff Linderoth, 2012 .

Row-Partition Branching for Set Partitioning Problems

Jeff T. Linderoth, Namsuk Cho, Je Linderoth, 2015 .

Piecewise Polyhedral Formulations for a Multilinear Term

Russell Bent, Harsha Nagarajan, Jeff T. Linderoth, 2020, Oper. Res. Lett..

Integer packing sets form a well-quasi-ordering

Jeff Linderoth, Jeff T. Linderoth, Alberto Del Pia, 2019, Oper. Res. Lett..

On the complexity of separating cutting planes for the knapsack polytope

Jeff T. Linderoth, Alberto Del Pia, Haoran Zhu, 2021, Mathematical Programming.

On the Complexity of Separation from the Knapsack Polytope

Jeff Linderoth, Jeff T. Linderoth, Alberto Del Pia, 2022, IPCO.

Improving Bounds on the Football Pool Problem via Symmetry Reduction and High-Throughput Computing

Jeff T. Linderoth, F. Margot, G. Thain, 2007 .

Computer Sciences Department Orbital Branching Orbital Branching

Jeff T. Linderoth, F. Rossi, S. Smriglio, 2008 .

Orbital Conflict: Cutting Planes for Symmetric Integer Programs

Jeff Linderoth, Jeff T. Linderoth, Fabrizio Rossi, 2021 .

Modeling without categorical variables: a mixed-integer nonlinear program for the optimization of thermal insulation systems

Sven Leyffer, Jeff T. Linderoth, Jeff Linderoth, 2010 .

Topics in parallel integer optimization

Jeff Linderoth, Jeff T. Linderoth, Martin W. Savelsberg, 1998 .