ISE Technical Reports

Classifications:

T - technical report containing original results of a novel nature, suitable for publication in a major journal

R - project completion report containing results from a sponsored research project

W - working paper, containing important and significant findings, possibly incomplete but accurate and sound

Please note: Some of our faculty members list their publications on their own web site. Please visit the Faculty page for their web sites.

Report No.	Author(s)	Title (linking to a PDF report)	Date Uploaded
24T-022	Brandon Augustino Jiaqi Leng Giacomo Nannicini Tamás Terlaky Xiaodi Wu	A Quantum Central Path Algorithm for Linear Optimization	12/20/2024
24T-021	Brandon Augustino Giacomo Nannicini Tamás Terlaky Luis F. Zuluaga	Solving the Semidefinite Relaxation of QUBOs in Matrix Multiplication Time, and Faster with a Quantum Computer	12/20/2024
24T-020	Brandon Augustino Tamás Terlaky	Quantum Interior Point Methods for Conic Linear Optimization	12/20/2024
24T-019	Zeguan Wu Pouya Sampourmahani Mohammadhossein Mohammadisiahroudi Tamás Terlaky	A Quantum Dual Logarithmic Barrier Method for Linear Optimization	12/20/2024
24T-018	Harbir Antil Sergey Dolgov Akwum Onwunta	Tensor Train Solution to Uncertain Optimization Problems with Shared Sparsity Penalty	12/18/2024
24T-017	Zeguan Wu Xiu Yang Tamás Terlaky	A Preconditioned Inexact Infeasible Quantum Interior Point Method for Linear Optimization	12/12/2024
24T-016	Alberto Del Pia Aida Khajavirad	Beyond Hypergraph Acyclicity: Limits of Tractability for Pseudo-Boolean Optimization	10/30/2024
24T-015	Oleg A. Prokopyev Ted K. Ralphs	On the Complexity of Finding Locally Optimal Solutions in Bilevel Linear Optimization	10/24/2024
24T-014	Dong An Akwum Onwunta Gengzhi Yang	Fast-Forwarding Quantum Algorithms For Linear Dissipative Differential Equations	10/17/2024
24T-013	Dongwei Shi Xiu Yang	Koopman Spectral Linearization vs. Carleman Linearization: A Computational Comparison Study	10/3/2024
24T-012	Didem Kochan Xiu Yang	Blending Physics with Data Using An Efficient Gaussian Process Regression with Soft Inequality and Monotonicity Constraints	10/3/2024
24T-011	Pengpeng Xiao Muqing Zheng Anran Jiao Xiu Yang Lu Lu	Quantum DeepONet: Neural Operators Accelerated by Quantum Computing	10/3/2024
24T-010	Muqing Zheng Yousu Chen Xiu Yang Ang Li	Early Exploration of a Flexible Framework for Efficient Quantum Linear Solvers in Power Systems	10/3/2024
24T-009	Chia-Yuan Wu Frank E. Curtis Daniel P. Robinson	Using Synthetic Data to Mitigate Unfairness and Preserve Privacy through Single-Shot Federated Learning	9/16/2024
24T-008	Frank E. Curtis Xin Jiang Qi Wang	Single-Loop Deterministic and Stochastic Interior-Point Algorithms for Nonlinearly Constrained Optimization	9/4/2024
24T-007	Aida Khajavirad Yakun Wang	Inference in Higher-Order Undirected Graphical Models and Binary Polynomial Optimization	5/16/2024
24T-006	Yutong Dai Xiaoyi Qu Daniel P. Robinson	A Proximal-Gradient Method for Constrained Optimization	4/11/2024
24T-005	Aida Khajavirad	The Circle Packing Problem: A Theoretical Comparison of Various Convexification Techniques	4/10/2024
24T-004	Luis Nunes Vicente Thaksheel N. Alleck Tommaso Giovannelli Roman Mitchell Ori Remen	Why is Soccer so Popular: Understanding Underdog Achievement and Randomness in Team Ball Sports	4/10/2024
24T-003	Thaksheel N. Alleck Tommaso Giovannelli Luis Nunes Vicente Roman Mitchell Ori Remen	Match Score Dataset for Team Ball Sports	4/8/2024
24T-002	Yuhao Huang Qingsong Wang Akwum Onwunta Bao Wang	Efficient Score Matching With Deep Equilibrium Layers	2/21/2024
24T-001	Antonio De Rosa Aida Khajavirad	On the Power of Linear Programming for K-means Clustering	2/8/2024
23T-030	Mengqi Hu Bian Li Yi-An Ma Yifei Lou Xiu Yang	A Gradient-Based Optimization Method Using the Koopman Operator	12/22/2023
23T-029	Mohammadhossein Mohammadisiahroudi Brandon Augustino Pouya Sampourmahani Tamás Terlaky	Quantum Computing Inspired Iterative Refinement for Semidefinite Optimization	12/18/2023
23T-028	Muqing Zheng Bo Peng Ang Li Xiu Yang Karol Kowalski	Unleashed from Constrained Optimization: Quantum Computing for Quantum Chemistry Employing Generator Coordinate Method	12/15/2023
23T-027	Tommaso Giovannelli Oumaima Sohab Luis Nunes Vicente	The Limitation of Neural Nets for Approximation and Optimization	11/21/2023
23T-026	Mohammadhossein Mohammadisiahroudi Zeguan Wu Brandon Augustino Arielle Carr Tamás Terlaky	Improvements to Quantum Interior Point Method for Linear Optimization	10/11/2023
23T-025	Clément W. Royer Oumaima Sohab Luis Nunes Vicente	Full-Low Evaluation Methods For Bound and Linearly Constrained Derivative-Free Optimization	10/2/2023
23T-024	Alberto Del Pia Aida Khajavirad	The Pseudo-Boolean Polytope and Polynomial-Size Extended Formulations for Binary Polynomial Optimization	9/18/2023
23T-023	Valentin Leplat Le Thi Khanh Hien Akwum Onwunta Nicolas Gillis	Deep Nonnegative Matrix Factorization with Beta Divergences	9/15/2023
23T-022	Akwum Onwunta Clément W. Royer	Complexity Analysis of Regularization Methods for Implicitly Constrained Least-Squares	9/14/2023
23T-021	Brendan Ruskey Lawrence V. Snyder	A New Multiobjective Heuristic For Creating Political Redistricting Plans While Maximizing Similarity To A Previously-Used Plan	9/6/2023
23T-020	Ramin Fakhimi Hamidreza Validi Illya V. Hicks Tamás Terlaky Luis F. Zuluaga	On Hamiltonians of the Max k-cut Problem	8/7/2023
23T-019	Frank E. Curtis Xin Jiang Qi Wang	Almost-Sure Convergence of Iterates and Multipliers in Stochastic Sequential Quadratic Optimization	8/7/2023
23T-018	Frank E. Curtis Vyacheslav Kungurtsev Daniel P. Robinson Qi Wang	A Stochastic-Gradient-based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems	5/1/2023
23T-017	Frank E. Curtis Daniel P. Robinson Baoyu Zhou	Sequential Quadratic Optimization for Stochastic Optimization with Deterministic Nonlinear Inequality and Equality Constraints	3/1/2023
23T-016	Rodolfo A. Quintero Luis F. Zuluaga	QUBO Formulations of Combinatorial Optimization Problems for Quantum Computing Devices	2/15/2023
23T-015	Yutong Dai Guanyi Wang Frank E. Curtis Daniel P. Robinson	A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization	2/14/2023
23T-014	Ramin Fakhimi Hamidreza Validi	Quantum Approximate Optimization Algorithm (QAOA)	2/13/2023
23T-013	Tommaso Giovannelli Griffin Kent Luis Nunes Vicente	Multi-Objective Lower-Level Problem: Risk-Neutral and Risk-Averse Formulations	2/13/2023
23T-012	Pouya Sampourmahani Mohammadhossein Mohammadisiahroudi Tamás Terlaky	On Semidefinite Representations of Second-Order Conic Optimization Problems	1/30/2023
23T-011	Harbir Antil Sergey Dolgov Akwum Onwunta	State-Constrained Optimization Problems Under Uncertainty: A Tensor Train Approach	1/20/2023
23T-010	Mohammadhossein Mohammadisiahroudi Ramin Fakhimi Brandon Augustino Tamás Terlaky	Generating Linear, Semidefinite, and Second-order Cone Optimization Problems for Numerical Experiments	1/11/2023
23T-009	Bian Li Yue Yu Xiu Yang	The Sparse-Grid-Based Adaptive Spectral Koopman Method	1/9/2023
23T-008	Mohammadhossein Mohammadisiahroudi Tamás Terlaky	Quantum IPMs for Linear Optimization	1/6/2023
23T-007	Mohammadhossein Mohammadisiahroudi Brandon Augustino Ramin Fakhimi Giacomo Nannicini Tamás Terlaky	Exponentially More Precise Tomography for Quantum Linear System Solutions via Iterative Refinement	1/6/2023
23T-006	Mohammadhossein Mohammadisiahroudi Brandon Augustino Ramin Fakhimi Giacomo Nannicini Tamás Terlaky	Accurately Solving Linear Systems with Quantum Oracles	1/6/2023
23T-005	Bian Li Yi-An Ma J. Nathan Kutz Xiu Yang	The Adaptive Spectral Koopman Method for Dynamical Systems	1/5/2023
23T-004	Yiming Fan Huaiqian You Xiaochuan Tian Xiu Yang Xingjie Li Naveen Prakash Yue Yu	A Meshfree Peridynamic Model for Brittle Fracture in Randomly Heterogeneous Materials	1/5/2023
23T-003	Muqing Zheng Bo Peng Nathan Wiebe Ang Li Xiu Yang Karol Kowalski	Quantum Algorithms for Generator Coordinate Methods	1/5/2023
23T-002	Bian Li Hanchen Wang Xiu Yang Youzuo Lin	Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator	1/5/2023
23T-001	Zeguan Wu Mohammadhossein Mohammadisiahroudi Brandon Augustino Xiu Yang Tamás Terlaky	An Inexact Feasible Quantum Interior Point Method for Linearly Constrained Quadratic Optimization	1/5/2023
22T-019	Alberto Del Pia Aida Khajavirad	The Multilinear Polytope of Beta-acyclic Hypergraphs Has Polynomial Extension Complexity	12/16/2022
22T-018	Ramin Fakhimi Hamidreza Validi Illya V. Hicks Tamás Terlaky Luis F. Zuluaga	On Relaxations of the Max k-cut Formulations	12/1/2022
22T-017	Chong You Chi Li Daniel P. Robinson René Vidal	Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces	11/9/2022
22T-016	Yunchen Yang Xinyue Zhang Tianjiao Ding Daniel P. Robinson René Vidal Manolis C. Tsakiris	Boosting RANSAC Via Dual Principal Component Pursuit	11/9/2022
22T-015	Mustafa D. Kaba Mengnan Zhao René Vidal Daniel P. Robinson Enrique Mallada	What is the Largest Sparsity Pattern that Can Be Recovered by 1-Norm Minimization?	11/9/2022
22T-014	Yutong Dai Daniel P. Robinson	Inexact Proximal-Gradient Methods with Support Identification	11/7/2022
22T-013	Tommaso Giovannelli Luis Nunes Vicente	An Integrated Assignment, Routing, and Speed Model For Roadway Mobility and Transportation With Environmental, Efficiency, and Service Goals	10/7/2022
22T-012	Aida Khajavirad	On the Strength of Recursive McCormick Relaxations for Binary Polynomial Optimization	9/28/2022
22T-011	Mengqi Hu Yifei Lou Bao Wang Ming Yan Xiu Yang Qiang Ye	Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum	8/29/2022
22T-010	Antonio De Rosa Aida Khajavirad	Explicit Convex Hull Description of Bivariate Quadratic Sets With Indicator Variables	8/19/2022
22T-009	Didem Kochan Zheng Zhang Xiu Yang	A Quantum-Inspired Hamiltonian Monte Carlo Method for Missing Data Imputation	8/1/2022
22T-008	Man Yiu Tsang Karmel S. Shehadeh Frank E. Curtis	An Inexact Column-And-Constraint Generation Method To Solve Two-Stage Robust Optimization Problems	7/8/2022
22T-007	Tibor Illés Tamás Terlaky	EUROpt, The Continuous Optimization Working Group of EURO: From Idea To Maturity	6/23/2022
22T-006	Frank E. Curtis Qi Wang	Worst-Case Complexity of TRACE with Inexact Subproblem Solutions for Nonconvex Smooth Optimization	4/25/2022
22T-005	Samira Fallah Ted K. Ralphs Natashia L. Boland	On the Relationship Between the Value Function and the Efficient Frontier of a Mixed Integer Linear Optimization Problem	4/15/2022
22T-004	Suyun Liu Luis Nunes Vicente	Convergence Rates of the Stochastic Alternating Algorithm for Bi-Objective Optimization	3/21/2022
22T-003	Frank E. Curtis Shima Dezfulian Andreas Wächter	Exploiting Prior Function Evaluations in Derivative-Free Optimization	3/3/2022
22T-002	Francesco Rinaldi Luis Nunes Vicente Damiano Zeffiro	Stochastic Trust-Region and Direct-Search Methods: A Weak Tail Bound Condition And Reduced Sample Sizing	2/23/2022
22T-001	Frank E. Curtis Michael J. O'Neill Daniel P. Robinson	Worst-Case Complexity of an SQP Method for Nonlinear Equality Constrained Stochastic Optimization	1/3/2022
21T-028	Rodolfo A. Quintero Luis F. Zuluaga	Characterizing and Benchmarking QUBO Reformulations of the Knapsack Problem	12/14/2021
21T-027	Alberto Del Pia Aida Khajavirad	Rank-One Boolean Tensor Factorization and the Multilinear Polytope	2/16/2022
21T-026	Harbir Antil Sergey Dolgov Akwum Onwunta	TTRISK: Tensor Train Decomposition Algorithm For Risk Averse Optimization	11/11/2021
21T-025	Tommaso Giovannelli Griffin Kent Luis Nunes Vicente	Inexact Bilevel Stochastic Gradient Methods for Constrained and Unconstrained Lower-level Problems	10/1/2021
21T-024	Yiming Fan Xiaochuan Tian Xiu Yang Xingjie Li Clayton Webster Yue Yu	An Asymptotically Compatible Probabilistic Collocation Method for Randomly Heterogeneous Nonlocal Problems	9/20/2021
21T-023	Zhiwei Fang Justin Zhan Xiu Yang	A Physics-Informed Neural Network Framework For Partial Differential Equations on 3D Surfaces: Time-Dependent Problems	9/20/2021
21T-022	Peiyuan Gao Xiu Yang Yu-Hang Tang Muqing Zheng Amity Anderson Vijayakumar Murugesan Aaron Hollas Wei Wang	Graphical Gaussian Process Regression Model for Aqueous Solvation Free Energy Prediction of Organic Molecules in Redox Flow Battery	9/20/2021
21T-021	Mengqi Hu Yifei Lou Xiu Yang	A General Framework of Rotational Sparse Approximation in Uncertainty Quantification	9/20/2021
21T-020	Antonio De Rosa Aida Khajavirad	Efficient Joint Object Matching via Linear Programming	8/30/2021
21T-019	Suyun Liu Luis Nunes Vicente	The Sharpe Predictor for Fairness in Machine Mearning	8/12/2021
21T-018	Harbir Antil Thomas S. Brown Ratna Khatri Akwum Onwunta Deepanshu Verma Mahamadi Warma	Optimal Control, Numerics, and Applications of Fractional PDES	8/5/2021
21T-017	Harbir Antil Howard C. Elman Akwum Onwunta Deepanshu Verma	Novel Deep Neural Networks For Solving Bayesian Statistical Inverse Problems	8/5/2021
21T-016	Albert S. Berahas O. Sohab Luis Nunes Vicente	Full-Low Evaluation Methods for Derivative-Free Optimization	7/26/2021
21T-015	Frank E. Curtis Daniel P. Robinson Baoyu Zhou	Inexact Sequential Quadratic Optimization for Minimizing a Stochastic Objective Function Subject to Deterministic Nonlinear Equality Constraints	7/7/2021
21R-014	Varun Joseph Andrews Teresa Carotenuto Jeff Dicker Leigh Friedman Joseph F. Golob Jr. MD FACS CPHQ Hannah Hedstrom Elizabeth Kim Serina Lai Nico Lastauskas Spencer Leuba Jake Levine Neha Mandhyani Eric Mintz Ardelle Persad Ryan Seth Namya Elsa Thupili Liz Turi Croldy Veliz Christina Vikingstad	HSE Lehigh Healthcare Systems Engineering Projects 2020 - 2021	6/29/2021
21T-013	Albert S. Berahas Frank E. Curtis Michael J. O'Neill Daniel P. Robinson	A Stochastic Sequential Quadratic Optimization Algorithm for Nonlinear Equality Constrained Optimization with Rank-Deficient Jacobians	06/24/2021
21T-012	Suyun Liu Luis Nunes Vicente	A Stochastic Alternating Balance k-Means Algorithm for Fair Clustering	06/02/2021
21T-011	Man Yiu Tsang Karmel S. Shehadeh	Distributionally Robust Home Service Routing and Appointment Scheduling with Random Travel and Service Times	05/20/2021
21T-010	Brandon Augustino Giacomo Nannicini Tamás Terlaky Luis F. Zuluaga	An Infeasible-Inexact Quantum Interior Point Method for Convex Quadratic Symmetric Cone Optimization	04/30/2021
21T-009	Brandon Augustino Giacomo Nannicini Tamás Terlaky Luis F. Zuluaga	An Inexact-Feasible Quantum Interior Point Method for Second-order Cone Optimization	04/30/2021
21T-008	Brandon Augustino Giacomo Nannicini Tamás Terlaky Luis F. Zuluaga	An Inexact-Feasible Quantum Interior Point Method for Semidefinite Optimization	04/30/2021
21T-007	Ramin Fakhimi Hamidreza Validi Illya V. Hicks Tamás Terlaky Luis F. Zuluaga	The Max k-cut Problem on Classical and Quantum Solvers	04/30/2021
21T-006	Mohammadhossein Mohammadisiahroudi Ramin Fakhimi Zeguan Wu Tamás Terlaky	An Inexact Feasible Interior Point Method for Linear Optimization with High Adaptability to Quantum Computers	04/28/2021
21T-005	Mohammadhossein Mohammadisiahroudi Ramin Fakhimi Tamás Terlaky	Efficient Use of Quantum Linear System Algorithms in Interior Point Methods for Linear Optimization	04/28/2021
21T-004	Eugene Perevalov	What Is Information After All? How The Founder Of Modern Dialectical Logic Could Help The Founder Of Cybernetics Answer This Question	04/12/2021
21T-003	Majid Jahani Naga Venkata C. Gudapati Chenxin Ma Rachael Tappenden Martin Takáč	Fast and Safe: Accelerated Gradient Methods With Optimality Certificates And Underestimate Sequences	03/31/2021
21T-002	Mohammad Pirhooshyaran Lawrence V. Snyder	Simultaneous Decision Making For Stochastic Multi-Echelon Inventory Optimization With Deep Neural Networks As Decision Makers	03/31/2021
21T-001	Zheng Shi Nicolas Loizou Peter Richtárik Martin Takáč	AI-SARAH: Adaptive and Implicit Stochastic Recursive Gradient Methods	03/31/2021
20T-033	Andrew Pensoneault Xiu Yang Xueyu Zhu	Nonnegativity-Enforced Gaussian Process Regression	02/05/2021
20T-032	Peiyuan Gao Xiu Yang Alexandre M. Tartakovsky	Learning Coarse-Grained Potentials for Binary Fluids	02/05/2021
20T-031	Sheng Zhang Xiu Yang Samy Tindel Guang Lin	Augmented Gaussian Random Field:Theory And Computation	02/05/2021
20T-030	Yixiang Deng Guang Lin Xiu Yang	Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression	02/05/2021
20T-029	Ang Li Omer Subasi Xiu Yang Sriram Krishnamoorthy	Density Matrix Quantum Circuit Simulation via the BSP Machine on Modern GPU Clusters	02/05/2021
20T-028	Muqing Zheng Ang Li Tamás Terlaky Xiu Yang	A Bayesian Approach for Characterizing and Mitigating Gate and Measurement Errors	02/05/2021
20T-027	Antonio De Rosa Aida Khajavirad	The Ratio-Cut Polytope and K-Means Clustering	11/23/2020
20T-026	Alberto Del Pia Aida Khajavirad Dmitriy Kunisky	Linear Programming and Community Detection	11/23/2020
20T-025	Alberto Del Pia Aida Khajavirad	The Running Intersection Relaxation of the Multilinear Polytope	11/23/2020
20T-024	Bruna Ramos Diana Pinho Daniela Martins A. Ismael F. Vaz Luis Nunes Vicente	Optimal 3D Printing of Complex Objects in a 5-Axis Printer	11/2/2020
20T-023	Mertcan Yetkin Sudharsan Kalidoss Frank E. Curtis Lawrence V. Snyder Arindam Banerjee	Practical Optimal Control of a Wave-Energy Converter in Regular Wave Environments	10/22/2020
20T-022	Ramin Fakhimi Mohammad Shahabsafa Weiming Lei Tamás Terlaky Luis Zuluaga Sicheng He John T. Hwang Joaquim R. R. A. Martins	Large-Scale Discrete Multi-Scenario Truss Sizing Optimization: Model Analysis and Computational Methodology Experiments	10/03/2020
20T-021	Karmel S. Shehadeh Ece Sanci	Distributionally Robust Facility Location with Bimodal Random Demand	09/14/2020
20T-020	Karmel S. Shehadeh Rema Padman	Stochastic Optimization Approaches for Elective Surgery Scheduling and Downstream Capacity Planning: Models, Challenges, and Opportunities	09/14/2020
20T-019	Karmel S. Shehadeh	A Distributionally Robust Optimization Approach for a Stochastic Mobile Facility Routing and Scheduling Problem	09/14/2020
20T-018	Brandon Augustino Giacomo Nannicini Tamás Terlaky Luis F. Zuluaga	A Quantum Interior Point Method for Semidefinite Optimization Problems	08/28/2020
20T-017	Rodolfo Quintero David Bernal Tamás Terlaky Luis F. Zuluaga	Characterization of QUBO Reformulations for the Maximum k-Colorable Subgraph Problem	08/24/2020
20T-016	Suyun Liu Luis Nunes Vicente	Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach	08/03/2020
20T-015	Frank E. Curtis Yutong Dai Daniel P. Robinson	A Subspace Acceleration Method for Minimization Involving a Group Sparsity-Inducing Regularizer	07/29/2020
20T-014	Albert Berahas Frank E. Curtis Daniel P. Robinson Baoyu Zhou	Sequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic Optimization	07/21/2020
20T-013	Sahar Tahernejad Ted K. Ralphs	Valid Inequalities for Mixed Integer Bilevel Linear Optimization Problems	11/2/2020
20T-012	Xueyu Shi Oleg Prokopyev Ted K. Ralphs	Mixed Integer Bilevel Optimization with κ-optimal Follower: A Hierarchy of Bounds	08/03/2020
20T-011	Majid Jahani Mohammadreza Nazari Rachael Tappenden Albert S. Berahas Martin Takáč	SONIA: A Symmetric Blockwise Truncated Optimization Algorithm	06/22/2020
20T-010	Ruben Solozabal Josu Ceberio Martin Takáč	Constrained Combinatorial Optimization with Reinforcement Learning	06/22/2020
20T-009	Frank E. Curtis Minhan Li	Gradient Sampling Methods with Inexact Subproblem Solves and Gradient Aggregation	05/15/2020
20T-008	Xin Shi Luis F. Zuluaga	A New Characterization of Symmetric H⁺-Tensors^*	04/16/2020
20T-007	Majid Jahani Xi He Chenxin Ma Aryan Mokhtari Dheevatsa Mudigere Alejandro Ribeiro Martin Takáč	Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization Via Accumulating Sample Strategy	04/16/2020
20T-006	Majid Jahani Mohammadreza Nazari Sergey Rusakov Albert S Berahas Martin Takáč	Scaling Up Quasi-Newton Algorithms: Communication Ecient Distributed SR1	04/16/2020
20T-005	Suresh Bolusani Stefano Coniglio Ted K. Ralphs Sahar Tahernejad	A Unified Framework for Multistage and Multilevel Mixed Integer Linear Optimization	04/16/2020
20T-004	Suresh Bolusani Ted K. Ralphs	A Framework for Generalized Benders' Decomposition and Its Application to Multilevel Optimization	04/16/2020
20T-003	Mohammad Pirhooshyaran Lawrence V. Snyder	Multivariate, Multistep Forecasting, Reconstruction and Feature Selection of Ocean Waves Via Recurrent and Sequence-To-Sequence Networks	04/08/2020
20T-002	Mohammad Pirhooshyaran Katya Scheinberg Lawrence V. Snyder	Feature Engineering and Forecasting Via Derivative-Free Optimization and Ensemble of Sequence-To-Sequence Networks with Applications in Renewable Energy	04/08/2020
20T-001	Frank E. Curtis Katya Scheinberg	Adaptive Stochastic Optimization	01/20/2020
19T-031	Lili Song Luis Nunes Vicente	Modeling Hessian-Vector Products in Nonlinear Optimization: New Hessian-Free Methods	12/26/2019
19T-030	Nur Sila Gulgec Zheng Shi Neil Deshmukh Shamim N. Pakzad Martin Takáč	FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs Using Hessian-Free Trust-Region Methods	12/16/2019
19T-029	Majid Jahani Xi He Chenxin Ma Aryan Mokhtari Dheevatsa Mudigere Alejandro Ribeiro Martin Takáč	Grow Your Samples and Optimize Better via Distributed Newton CG and Accumulating Strategy	12/16/2019
19T-028	Frank E. Curtis Daniel P. Robinson Clément W. Royer Stephen J. Wright	Trust-Region Newton-CG with Strong Second-Order Complexity Guarantees for NonConvex Optimization	12/16/2019
19T-027	Xiu Yang Xueyu Zhu Jing Li	When Bifidelity Meets Cokriging: An Efficient Physics-Informed Multi-Fidelity Method	11/20/2019
19T-026	Xiu Yang Guzel D. Tartakovsky Alexandre M. Tartakovsky	Physics-Informed Kriging: A Physics-Informed Gaussian Process Regression Method for Data-Model Convergence	11/20/2019
19T-025	Frank E. Curtis Rui Shi	A Fully Stochastic Second-Order Trust Region Method	11/18/2019
19T-024	Philip E. Gill Vyacheslav Kungurtsev Daniel P. Robinson	A Shifted Primal-Dual Penalty-Barrier Method for Nonlinear Optimization	11/13/2019
19T-023	Mustafa D. Kaba Mengnan Zhao Daniel P. Robinson Rene Vidal Enrique Mallada	Generalized Nullspace Property for Structurally Sparse Signals	11/04/2019
19T-022	Guilherme Franca Jeremias Sulam Daniel P. Robinson Rene Vidal	Conformal Symplectic and Relativistic Optimization	11/04/2019
19T-021	Guilherme Franca Daniel P. Robinson Rene Vidal	A Nonsmooth Dynamical Systems Perspective on Accelerated Extensions of ADMM	11/04/2019
19T-020	Guilherme Franca Daniel P. Robinson Rene Vidal	Gradient Flows and Accelerated Proximal Splitting Methods	11/04/2019
19T-018	Ali Mohammad-Nezhad Tamás Terlaky	On Parametric Second-Order Conic Optimization	10/07/2019
19T-017	Stephen J. Maher Ted K. Ralphs Yuji Shinano	Assessing the Effectiveness of (Parallel) Branch-and-bound Algorithms	09/25/2019
19T-016	Ali Mohammad-Nezhad Tamás Terlaky	Parametric Analysis of Semidefinite Optimization	08/30/2019
19T-015	Jonathan D. Hauenstein Ali Mohammad-Nezhad Tingting Tang Tamás Terlaky	On Computing the Nonlinearity Interval in Parametric Semidefinite Optimization	08/30/2019
19T-014	Sicheng He John T. Hwang Joaquim R. R. A. Martins Mohammad Shahabsafa Weiming Lei Ali Mohammad-Nezhad Tamás Terlaky Luis Zuluaga	Mixed-integer Second-order Cone Optimization Formulations for Discrete Variables Topology Optimization Problems	08/21/2019
19T-013	Mohammad Shahabsafa Ramin Fakhimi Weiming Lei Tamás Terlaky Luis Zuluaga Sicheng He John T. Hwang Joaquim R. R. A. Martins	Solving Large-Scale Multi-Scenario Truss Sizing Optimization Problems	08/21/2019
19T-012	Mohammad Shahabsafa Ramin Fakhimi Weiming Lei Tamás Terlaky Luis Zuluaga Sicheng He John T. Hwang Joaquim R. R. A. Martins	Truss topology design optimization with guaranteed kinematic stability	08/21/2019
19T-011	Suyun Liu Luis Nunes Vicente	The Stochastic Multi-gradient Algorithm for Multi-objective Optimization and its Application to Supervised Machine Learning	07/09/2019
19T-010	Javier F. Pena Juan C. Vera Luis F. Zuluaga	New Characterizations of Hoffman Constants for Systems of Linear Constraints	06/21/2019
19T-009	Javier F. Pena Juan C. Vera Luis F. Zuluaga	Equivalences Among the Chi Measure, Hoffman Constant, and Renegar’s Distance to Ill-posedness	06/21/2019
19T-008	Mohammadreza Nazari Majid Jahani Lawrence V. Snyder Martin Takáč	Don’t Forget Your Teacher: A Corrective Reinforcement Learning Framework	06/04/2019
19T-007	Hossein K. Mousavi Mohammadreza Nazari Martin Takáč Nader Motee	Multi-Agent Image Classification via Reinforcement Learning	06/04/2019
19T-006	Albert S. Berahas Majid Jahani Martin Takáč	Quasi-Newton Methods for Deep Learning: Forget the Past, Just Sample	06/04/2019
19T-005	Albert S. Berahas Martin Takáč	A Robust Multi-Batch L-BFGS Method for Machine Learning	06/04/2019
19T-004	Albert S. Berahas Liyuan Cao Krzysztof Choromanski Katya Scheinberg	A Theoretical and Empirical Comparison of Gradient Approximations in Derivative-Free Optimization	06/04/2019
19T-003	Giampaolo Liuzzi Stefano Lucidi Francesco Rinaldi Luis Nunes Vicente	Trust-Region Methods for the Derivative-Free Optimization of Nonsmooth Black-Box Functions	04/22/2019
19T-002	Mohammadreza Nazari Afshin Oroojlooy Lawrence V. Snyder Martin Takáč	Reinforcement Learning for Solving the Vehicle Routing Problem	04/15/2019
19T-001	Albert S. Berahas Frank E. Curtis Baoyu Zhou	Limited-Memory BFGS with Displacement Aggregation	04/15/2019
18T-009	Boris Defourny Shu Tu	On the Value of Dual-Firing Power Generation under Uncertain Gas Network Access
18T-008	Boris Defourny Somayeh Moazeni	Electric Storage with Stacked Services: Control and Valuation
18T-007	Mohammad Shahabsafa Julio C. Goez Tamas Terlaky	Supplement to the paper: On Pathological Disjunctions and Redundant Disjunctive Conic Cuts
18T-006	Hiva Ghanbari Katya Scheinberg	Directly and Efficiently Optimizing Prediction Error and AUC of Linear Classifiers
18T-005	Afshin Oroojlooy MohammadReza Nazari Lawrence Snyder Martin Takáč	A Deep Q-Network for the Beer Game: Using Machine Learning to Solve Inventory Optimization Problems
18T-004	Lam M. Nguyen Phuong Ha Nguyen Marten van Dijk Peter Richtarik Katya Scheinberg Martin Takáč	SGD and Hogwild! Convergence Without the Bounded Gradients Assumption
18T-003	Frank E. Curtis Daniel P. Robinson	Regional Complexity Analysis of Algorithms for Nonconvex Smooth Optimization
18T-002	Sertalp B. Cay Imre Polik Tamas Terlaky	The first heuristic specifically for mixed-integer second-order cone optimization
18T-001	Lam M. Nguyen Nam H. Nguyen Dzung T. Phan Jayant R. Kalagnanam Katya Scheinberg	When Does Stochastic Gradient Algorithm Work Well?
17T-017	Frank E. Curtis Katya Scheinberg Rui Shi	A Stochastic Trust Region Algorithm Based on Careful Step Normalization
17T-016	Chenxin Ma Martin Jaggi Frank E. Curtis Nathan Srebro Martin Takáč	An Accelerated Communication-Efficient Primal-Dual Optimization Framework for Structured Machine Learning
17T-015	Mohammad Shahabsafa Ali Mohammad-Nezhad Tamas Terlaky Luis Zuluaga Sicheng He John T. Hwang Joaquim R. R. A. Martins	A Novel Approach to Discrete Truss Design Problems Using Mixed Integer Neighborhood Search
17T-014	Ali Mohammad-Nezhad Tamas Terlaky	Quadratic convergence of Newton's method to the optimal solution of second-order conic optimization
17T-013	Mohammad Shahabsafa Tamas Terlaky Chaitanya Gudapati Anshul Sharma Louis Plebani George Wilson	The Inmate Assignment and Scheduling Problem and its Application in the PA Department of Correction
17T-012	Frank E. Curtis Daniel P. Robinson Baoyu Zhou	Self-Correcting Variable-Metric Algorithms for Nonsmooth Optimization
17T-011	Frank E. Curtis Daniel P. Robinson Mohammadreza Samadi	An Inexact Regularized Newton Framework with a Worst-Case Iteration Complexity of $\mathcal{O}(\epsilon^{-3/2})$ for Nonconvex Optimization
17T-010	Mohammad Shahabsafa Julio C. Goez Tamas Terlaky	On Pathological Disjunctions and Redundant Disjunctive Conic Cuts
17T-009	Ali Mohammad-Nezhad Tamas Terlaky	A rounding procedure for semidefi nite optimization
17T-008	Ali Mohammad-Nezhad Tamas Terlaky	On the identification of the optimal partition for semidefinite optimization
17T-007	Lam M. Nguyen Jie Liu Katya Scheinberg Martin Takáč	Stochastic Recursive Gradient Algorithm for Nonconvex Optimization
17T-006	Sertalp B. Cay Imre Polik Tamas Terlaky	Warm-start of interior point methods for second order cone optimization via rounding over optimal Jordan frames
17T-005	Hiva Ghanbari Katya Scheinberg	Black-Box Optimization in Machine Learning with Trust Region Based Derivative Free Algorithm
17T-004	Afshin Oroojlooy Lawrence Snyder Martin Takáč	Applying Deep Learning to the Newsvendor Problem
17T-003	Frank E. Curtis Daniel P. Robinson	Exploiting Negative Curvature in Deterministic and Stochastic Optimization
17T-002	Lam M. Nguyen Jie Liu Katya Scheinberg Martin Takáč	SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient
17T-001	Somayeh Moazeni Boris Defourny Monika J. Wilczak	Information Collection Optimization in Designing Marketing Campaigns for Market Entry
16T-015	Sahar Thernejad Ted K. Ralphs Scott T. DeNegre	A Branch-and-Cut Algorithm for Mixed Integer Bilevel Linear Optimization Problems and Its Implementation
16T-014	Ted Ralphs Yuji Sinano Timo Berthold Thorsten Koch	Parallel Solvers for Mixed Integer Linear Programming
16T-013	Frank E. Curtis Daniel P. Robinson Mohammadreza Samadi	Complexity Analysis of a Trust Funnel Algorithm for Equality Constrained Optimization
16T-012	Frank E. Curtis Andreas Wächter Victor M. Zavala	A Sequential Algorithm for Solving Nonlinear Optimization Problems with Chance Constraints
16T-011	Ying Zhang Lawrence V. Snyder Ted K. Ralphs Zhaojie Xue	The Competitive Facility Location Problem Under Disruption Risks
16T-010	Frank E. Curtis Wei Guo	R-Linear Convergence of Limited Memory Steepest Descent
16T-009	Ali Mohammad-Nezhad Tamas Terlaky	On the identification of optimal partition and optimal solutions for semidefinite optimization
16T-008	Lam M. Nguyen Alexander L. Stolyar	A Queueing System with On-demand Servers: Local Stability of Fluid Limits
16T-007	Mohammadreza Nazari Alexander L. Stolyar	Optimal Control of General Dynamic Matching Systems
16T-006	Hiva Ghanbari Katya Scheinberg	Proximal Quasi-Newton Methods for Convex Optimization
16T-005	Sertalp Cay Julio Goez Tamas Terlaky	Effects of Disjunctive Conic Cuts within a Branch and Conic Cut Algorithm to Solve Asset Allocation Problems
16T-004	Miao Bai Robert H. Storer Gregory L. Tonkay	A Sample-gradient-based Algorithm for a Multiple-OR and PACU Surgery Scheduling Problem
16T-002	Tianyi Chen Frank E. Curtis Daniel P. Robinson	A Reduced-Space Algorithm for Minimizing $\ell_1$-Regularized Convex Functions
16T-001	Alexander L. Stolyar	Pull-based load distribution among heterogeneous parallel servers: the case of multiple routers
15T-020	Chenxin Ma Jakub Konecny Martin Jaggi Virginia Smith Michael I. Jordan Peter Richtarik Martin Takáč	Distributed Optimization with Arbitrary Local Solvers
15T-019	Alexander L. Stolyar Yuan Zhong	A service system with packing constraints: Greedy randomized algorithm achieving sublinear in scale optimality gap
15T-018	Alexander L. Stolyar	Large-scale heterogeneous service systems with general packing constraints
15T-017	Rahul Singh Alexander L. Stolyar	MaxWeight Scheduling: Asymptotic Behavior of Unscaled Queue-Differentials in Heavy Traffic
15T-016	Lam M. Nguyen Alexander L. Stolyar	A Service System with Randomly Behaving On-Demand Agents
15T-015	Chenxin Ma Martin Takáč	Partitioning Data on Features or Samples in Communication-Efficient Distributed Optimization?
15T-014	Xi He Martin Takáč	Dual Free SDCA for Empirical Risk Minimization with Adaptive Probabilities
15T-013	Jie Liu Jakub Marecek Martin Takáč	Hybrid Methods in Solving Alternating-Current Optimal Power Flows
15T-012	Somayeh Moazeni Boris Defourny	An Energy Storage Deployment Program under Random Discharge Permissions
15T-011	Dan Li Tamas Terlaky	An Example with Decreasing Largest Inscribed Ball for Deterministic Rescaling Algorithms
15T-010	Dan Li Cornelis Roos Tamas Terlaky	A Polynomial Column-wise Rescaling von Neumann Algorithm
15T-009	ISE Faculty	Data Science and Analytics
15T-008	Ali Mohammad-Nezhad Tamas Terlaky	A polynomial primal-dual and scaling algorithm for symmetric conic optimization
15T-007	Martin Takac Peter Richtrik Nathan Srebro	Distributed Mini-Batch SDCA
15T-006	Jakub Marecek Martin Takáč	A Low-Rank Coordinate-Descent Algorithm for Semide nite Programming Relaxations of Optimal Power Flow
15T-005	Chenxin Ma Rachael Tappenden Martin Takáč	Linear Convergence of the Randomized Feasible Descent Method Under the Weak Strong Convexity Assumption
15T-004	Chenxin Ma Virginia Smith Martin Jaggi Michael I. Jordan Peter Richtarik Martin Takáč	Adding vs. Averaging in Distributed Primal-Dual Optimization
15T-003	Jakub Konecny Jie Liu Peter Richtarik Martin Takáč	Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting
15T-002	Ruobing Chen Matt Menickelly Katya Scheinberg	Stochastic Optimization Using a Trust-Region Method and Random Models
15T-001	Ted K. Ralphs Aykut Bulut	On the Complexity of Inverse Mixed Integer Linear Optimization
14T-013	Jillian Sloand Aurelie Thiele	Assessing the Financial Viability of Stratified Medicine Using Decision Tree Analysis
14T-012	Alexander (Sasha) Stolyar Guodong Pang	A Service System With On-Demand Agent Invitations
14T-011	Frank E. Curtis Wei Guo	Handling Nonpositive Curvature in a Limited Memory Steepest Descent Method
14T-010	Frank E. Curtis Zheng Han	Globally Convergent Primal-Dual Active-Set Methods with Inexact Subproblem Solves
14T-009	Frank E. Curtis Daniel P. Robinson Mohammadreza Samadi	A Trust Region Algorithm with a Worst-Case Iteration Complexity of {cal O}(epsilon^{-3/2}) for Nonconvex Optimization
14T-008	Pietro Belotti Julio C. Goez Ted K. Ralphs Tamás Terlaky	A Complete Characterization of Disjunctive Conic Cuts for Mixed Integer Second Order Cone Optimization
14T-007	Zoltán Horváth Yunfei Song Tamás Terlaky	Steplength Thresholds for Invariance Preserving of Discretization Methods of Dynamical Systems on a Polyhedron
14T-006	Frank E. Curtis Nicholas I. M. Gould Hao Jiang Daniel P. Robinson	Adaptive Augmented Lagrangian Methods: Algorithms and Practical Numerical Experience
14T-005	Anahita Hassanzadeh Ted K. Ralphs	A Generalization of Benders' Algorithm for Two-Stage Stochastic Optimization Problems with Mixed Integer Recourse
14T-004	Ted K. Ralphs Anahita Hassanzadeh	On the Value Function of a Mixed Integer Linear Optimization Problem and an Algorithm for its Construction
14T-003	Zoltan Horvath Yunfei Song Tamas Terlaky	A Novel Unified Approach to Invariance in Control
14T-002	Frank E. Curtis Xiaocun Que	A Quasi-Newton Algorithm for Nonconvex, Nonsmooth Optimization with Global Convergence Guarantees
14T-001	Lawrence V. Snyder	q-Factor Optimization for 2-WEC Arrays
13T-010	Frank E. Curtis Nicholas I. M. Gould Daniel P. Robinson Philippe L. Toint	An Interior-Point Trust-Funnel Algorithm for Nonlinear Optimization
13T-009	Frank E. Curtis James V. Burke Hao Wang Jiashan Wang	Matrix-Free Solvers for Exact Penalty Subproblems
13T-008	Tamas Terlaky Olesya Peshko Timothy N. Davidson Jan Modersitzki Douglas J. Moseley	A novel marker enhancement filer (MEF) for fluoroscopic images
13T-007	Tamas Terlaky Murat Mut	On the Volumetric Path
13T-006	Katya Scheinberg Afonso Bandeira	An analogy of Klee-Walkup result for Sonnevend's curvature of the central path
13T-005	Katya Scheinberg Afonso Bandeira Luis Vincente	Convergence of trust-region methods based on probabilistic models
13T-004	Katya Scheinberg Donald Goldfarb Zhiwei Qin	Efficient Block-coordinate Descent Algorithms for the Group Lasso
13T-003	Katya Scheinberg Afonso Bandeira Luis Vincente	Computation of Sparse Low Degree Interpolating Polynomials and their Application to Derivative-Free Optimization
13T-002	Katya Scheinberg Donald Goldfarb Xi Bai	Fast First-Order Methods for Composite Convex Optimization with Backtracking
13T-001	Frank E. Curtis Travis C. Johnson Daniel P. Robinson Andreas Wachter	An Inexact Sequential Quadratic Optimization Algorithm for Large-Scale Nonlinear Optimization
12W-005	Lawrence V. Snyder Ying Rong Zumbul Atan Peng Peng Amanda J. Schmitt Burcu Sinsoysal	OR/MS Models for Supply Chain Disruptions: A Review
12W-004	Lawrence V. Snyder Ying Rong Zumbul Atan	Heuristics for Base-Stock Levels in Multi-Echelon Distribution Networks with First-Come First Served Policies
12W-003	Zumbul Atan Lawrence V. Snyder	Disruptions in One-Warehouse Multiple-Retailer Systems
12W-002	Lawrence V. Snyder Davood Shishebori Mohammad Saeed Jabalameli	A reliable budget-constrained facility location/network design problem with unreliable facilities
12W-001	Lawrence V. Snyder Tolga H. Seyhan	A New Heuristic Formulation for a Competitive Maximal Covering Location Problem
12T-021	Matthew V. Galati Ted K. Ralphs Jiadong Wang	Computational Experience with Generic Decomposition using the DIP Framework
12T-020	Karla Hoffman Ted Ralphs	Integer and Combinatorial Optimization
12T-019	Thorsten Koch Ted K. Ralphs Yuji Shinano	Could We Use a Million Cores to Solve an Integer Program?
12T-018	Lawrence V. Snyder Chen Chen K.G. Nagananda Gang Xiong Shalinee Kishore	A Communication-Based Appliance Scheduling Scheme for Consumer-Premise Energy Management Systems
12T-017	Lawrence V. Snyder Amanda J. Schmitt	Infinite-Horizon Models for Inventory Control under Yield Uncertainty and Disruptions
12T-016	Frank E. Curtis Hao Jiang Daniel P. Robinson	Adaptive Augmented Lagrangian Methods for Large-Scale Equality Constrained Optimization
12T-015	Ted K. Ralphs Andrea Lodi Gerhard J. Woeginger	Bilevel Programming and the Separation Problem
12T-014	Ted K. Ralphs Jiadong Wang	Computational Experience with Hypergraph-based Methods for Automatic Decomposition in Discrete Optimization
12T-013	Frank E. Curtis Zheng Han Daniel P. Robinson	A Globally Convergent Primal-Dual Active-Set Framework for Large-Scale Convex Quadratic Optimization
12T-012	Frank E. Curtis James V. Burke Hao Wang	A Sequential Quadratic Optimization Algorithm with Rapid Infeasibility Detection
12T-011	Dan Li Tamas Terlaky	The Duality between the Perceptron Algorithm and the von Neumann Algorithm
12T-010	Tamas Terlaky Zhouhong Wang	On Identification of the Optimal Partition of Second Order Cone Optimization Problems
12T-009	Pietro Belotti Julio C. Goez Imre Polik Ted Ralphs Tamas Terlaky	A conic representation of the convex hull of disjunctive sets and conic cuts for integer second order cone optimization
12T-008	Keith M. Gardiner	Virtual and Collaborative Project-Based Learning
12T-007	Camilo Mancilla Robert H. Storer	Stochastic integer programming based algorithms for adaptable open block surgery scheduling
12T-006	Frank E. Curtis Johannes Huber Olaf Schenk Andreas Wachter	On the Implementation of an Interior-Point Algorithm for Nonlinear Optimization with Inexact Step Computations
12T-005	David Grace Eugene Perevalov	Optimization of Additional Information Acquisition in Decision Making Problems: Solution Methods
12T-004	David Grace Eugene Perevalov	Optimization of Additional Information Acquisition in Decision Making Problems: Main Framework
12T-003	David Grace Eugene Perevalov	Information Acquisition for Decision Making: Information Source Models
12T-002	David Grace Eugene Perevalov	Information Acquisition for Decision Making: Answer Depth
12T-001	David Grace Eugene Perevalov	Information Acquisition for Decision Making: Question Difficulty
11W-002	Lawrence V. Snyder Amanda J. Schmitt Zuo-Jun Max Shen	Centralization versus Decentralization: Risk Pooling, Risk Diversification, and Supply Chain Disruptions
11W-001	Lawrence V. Snyder Cagri Latifoglu Pietro Belotti	Models for Production Planning under Power Interruptions
11T-012	Andrea Lodi Ted K. Ralphs Fabrizio Rossi Stefano Smriglio	Interdiction Branching
11T-011	Lawrence V. Snyder Chen Chen Shalinee Kishore	An Innovative RTP-Based Residential Power Scheduling Scheme for SmartGrids
11T-010	Robert Howley Robert H. Storer	Balanced Assignment of Experimental Units in the Analysis of Covariance through Optimization
11T-009	Keith M. Gardiner	Engineering Education OR Just Education
11T-008	Frank E. Curtis Xiaocun Que	An Adaptive Gradient Sampling Algorithm for Nonsmooth Optimization
11T-007	Julio C. Goez Ted Ralphs Tamás Terlaky Pietro Belotti Imre Pólik	On Families of Quadratic Surfaces Having Fixed Intersections with Two Hyperplanes
11T-006	Jaime Alava Andrew Stewart Keith Gardiner	Correlating Industry Trends to the Engineering Curriculum
11T-005	Frank E. Curtis Johannes Huber Olaf Schenk Andreas Wachter	On the Implementation of an Interior-Point Algorithm for Nonlinear Optimization with Inexact Step Computations
11T-004	Robert H. Storer Daniel J. Scansaroli Vladimir Dobric	New Estimators of the Hurst Index for Fractional Brownian Motion
11T-003	Keith M. Gardiner Jaime D. Alava	The Development of the First Year Engineering Experience
11T-002	Keith M. Gardiner	Embedding Sustainability into the Engineering Curriculum
11T-001	Robert H. Storer Camilo Mancilla	Stochastic Sequencing of Surgeries for a Single Surgeon Operating in Parallel Operating Rooms
10W-002	S. David Wu Berrin Aytac	Modelling high-tech product life cycles with short-term demand information: A case study
10T-014	Tamas Terlaky Murat Mut	On the Volumetric Path
10T-013	Lawrence V. Snyder Peng Peng Andrew Lim Zuli Liu	Reliable logistics networks design with faculty disruptions
10T-012	Lawrence V. Snyder Shalinee Kishore	Control Mechanisms for Residential Electricity Demand in SmartGrids
10T-011	Lawrence V. Snyder Ying Rong Yang Sun	Inventory Sharing Under Decentralized Preventive Transshipments
10T-010	Lawrence V. Snyder Lian Qi Zuo-Jun Max Shen	The Effect of Supply Disruptions on Supply Chain Design Decisions
10T-009	Lawrence V. Snyder Amanda J. Schmitt Zuo-Jun Max Shen	Inventory Systems with Stochastic Demand and Supply: Properties and Approximations
10T-008	Tamas Terlaky Antoine Deza Chris Dickson Anthony Vanelli Hu Zhang	Global Routing in VLSI Design: Algorithms, Theory, and Computational Practice
10T-007	Tamas Terlaky Alireza Ghaffari-Hadigheh, Oleksandr Romanko	Multiobjective optimization via parametric optimization: models, algorithms and applications
10T-006	Frank E. Curtis	A Penalty-Interior-Point Method for Large-Scale Nonlinear Optimization
10T-005	S. David Wu Mehmet O. Atan	Impact of Improved Forecasting on Operations
10T-004	S. David Wu Mehmet O. Atan	A Generalized Leading Indicator Forecasting Framework
10T-003	S. David Wu Mehmet O. Atan	Auction-Theoretic Coordination in High-Tech Capacity Allocation
10T-002	Tamas Terlaky Imre Pólik István Deák András Prékopa	Convex approximations in stochastic programming by semidefinite programming
10T-001	Tamas Terlaky R. Sotirov	Multi-start Approach to Global Conic Optimization
09W-001	Lawrence V. Snyder Lian Qi Zuo-Jun Max Shen	Pricing during Disruptions: A Cause of the Reverse Bullwhip Effect
09T-020	Lawrence V. Snyder Lian Qi Zuo-Jun Max Shen	A Continuous-Review Inventory Model with Disruptions at Both Supplier and Retailer
09T-019	Lawrence V. Snyder Ying Rong Zuo-Jun Max Shen	The Impact of Ordering Behavior on Order-Quantity Variability: A Study of Forward and Reverse Bullwhip Effects
09T-018	Frank E. Curtis Michael L. Overton	A Robust Sequential Quadratic Programming Algorithm for Nonconvex, Nonsmooth Constrained Optimization
09T-017	Pietro Belotti	Disjunctive Cuts for Non-Convex MINLP
09T-016	Imre Pólik Tamás Terlaky	On the computational complexity of gap-free duals for semidefinite optimization
09T-015	Banu Gemici Ozkan S. David Wu	Capacity Rationing for Contract Manufacturers Serving Multiple Markets
09T-014	Banu Gemici Ozkan S. David Wu	Market Entry Analysis when Releasing Distinctive Products in Independent Markets
09T-013	Camilo Mancilla Robert Storer	Stochastic Sequencing and Scheduling of an Operating Room
09T-012	Keith M. Gardiner	Globalization - A Vision of a New World
09T-011	Keith M. Gardiner	Discovery, Learning and Research in a Classroom Factory
09T-010	Keith M. Gardiner	The Future City Competition
09T-009	Keith M. Gardiner Andrew J. Foote Scott C. Pender	Education of the Future Workforce
09T-008	Tibor Illes Marianna Nagy Tamás Terlaky	Polynomial Interior Point Algorithms for General Linear Complementary Problems
09T-007	Alireza Ghaffari-Hadigheh Oleksandr Romanko Tamás Terlaky	Bi-Parametic Convex Quadratic Optimization
09T-006	Yan Xu Ted K. Ralphs Laszlo Ladanyi Matthew J. Saltzman	Computational Experience with a Software Framework for Parallel Integer Programming
09T-005	Kimia Ghobadi Nedialko S. Nedialkov Tamás Terlaky	On the Discretize then Optimize Approach
09T-004	S.T. DeNegre Ted K. Ralphs	A Branch-and-cut Algorithm for Integer Bilevel Linear Programs
09T-003	Ashutosh Mahajan Ted K. Ralphs	Experimenting with Branching using General Disjunction
09T-002	Z. Akca R.T. Berger Ted K. Ralphs	A Branching-and-Price Algorithm for Combined Location and Routing Problems Under Capacity Restrictions
09T-001	Ashutosh Mahajan Ted K. Ralphs	On the Complexity of Selecting Branching Disjunction in Integer Programming
08W-003	Lawrence V. Snyder Ying Rong Zuo-Jun Max Shen	Bullwhip and Reverse Bullwhip Effects under the Rationing Game
08W-002	Julie Drzymalski Nicholas G. Odrey	Supplier Selection in a Multi-Echelon Supply Chain with Lead Time Uncertainty Using Chance Constrained Programming
08T-011	Ban Kawas Aurélie C. Thiele	A Log-Robust Optimization Approach to Portfolio Management
08T-010	Ban Kawas Aurélie C. Thiele	Short Sales in Log-Robust Portfolio Management
08T-009	Z. Akca R.T. Berger Ted K. Ralphs	Modeling and Solving Location Routing and Scheduling Problems
08T-008	Antoine Deza Chris Dickson Anthony Vannelli Hu Zhang Tamás Terlaky	Global Routing in VLSI Design: Algorithms, Theory and Computational Practice
08T-007	M.A. Goberna Tamás Terlaky M.I. Todorov	Sensitivity analysis in linear semi-infinite programming via partitions
08T-006	Yang Li Tamás Terlaky	A new class of large neighborhood path-following interior point algorithms for semidefinite optimization with O interaction complexity
08T-005	Mohammad R. Oskoorouchi Hamid Ghaffari Tamás Terlaky	An interior point constraint generation method for semi-infinite linear programming
08T-004	Mohamed Saad Anthony Vannelli Hu Zhang Tamás Terlaky	A Provably Good Global Routing Algorithm in Multilayer IC and MCM Layout Design
08T-003	Logan Rakai Laleh Behjat Shawki Areibi Tamás Terlaky	Fast and Effective Congestion Prediction Methods for ILP-based Global Routing
08T-002	Andrew M. Ross Ying Rong Lawrence V. Snyder	Supply Distribution with Time-Dependent Parameters
08T-001	Berrin Aytac S. David Wu	Characterization of Demand for Short Life-Cycle Technology Products
07T-008	Joseph C. Hartman Stephen L. Liedtka Lawrence V. Snyder	The Impact of US Tax Depreciation Law on Asset Location and Ownership Decisions
07T-007	Mark S. Daskin Chung-Piaw Teo Lawrence V. Snyder	The Stochastic Location Model with Risk Pooling
07T-006	Nicholas G. Odrey	Error Recovery in Production Systems: A Petri Net Based Intelligent System Approach
07T-005	S. David Wu Berrin Aytac	Characterization of Demand for Short Life-Cycle Technology Products
07T-004	Wasu Glankwamdee Jeffrey Linderoth Jierui Shen	Combining Optimization and Simulation for Strategic and Operational Industrial Gas Production and Distribution
07T-003	Rockey Myall Aurélie C. Thiele	Addressing Exchange Rate Uncertainty in Operational Hedging: A Comparison of Three Risk Measures
07T-002	Pinar Keles Joseph Hartman	Evaluating Portfolios of Multi-Stage Investment Projects with Approximate Dynamic Programming
07T-001	Jeffrey Linderoth Francois Margot Greg Thain	The Tera-Gridiron: A Natural Turf for High-Throughput Computing
06W-002	Julie Drzymalski Nicholas Odrey	Development of a Process Reference Model and Performance Measures for use in a Synchronized Supply Chain
06T-009	Menal Guzelsoy Ted K. Ralphs	Duality for Mixed Integer Linear Programs
06T-008	Clara Novoa Jeffrey Linderoth Rosemary Berger Robert Storer	A Set-Partitioning-Based Model for the Stochastic Vehicle Routing Problem
06T-007	James Ostrowski Jeffrey Linderoth	Orbital Branching
06T-006	Banu Gemici S. David Wu	Adjusting Production Decisions for Short Life Cycle Products
06T-005	Banu Gemici Jeffrey Linderoth S. David Wu Jeffry Moore	R&D Project Portfolio Analysis for the Semiconductor Industry
06T-004	Wasu Glankwamdee Jeffrey Linderoth	Lookahead Branching for Mixed Integer Programming
06T-003	Joseph C. Hartman Kamokan Laksana	Designing and Pricing Menus of Extended Warranty Contracts
06T-001	Udom Janjarassuk Jeffrey Linderoth	Reformulation and Sampling to Solve a Stochastic Network
05T-009	Andrew M. Ross Ying Rong Lawrence V. Snyder	Supply Disruptions with Time-Dependent Parameters
05T-008	Aurélie Thiele	Robust Stochastic Programming with Uncertain Probabilities
05T-007	Aurélie Thiele	Robust Linear Optimization with Recourse
05T-006	Aurélie Thiele	Multiperiod Pricing via Robust Optimization
05T-005	Lawrence V. Snyder	A Tight Approximation for a Continuous-Review Inventory Model with Supply Disruptions
05T-004	Lawrence V. Snyder	A Note on the Robust International Sourcing Algorithm of Gutiérrez and Kouvelis
05T-003	Joseph C. Hartman Stephen L. Liedtka Lawrence V. Snyder	The Impact of US Tax Depreciation Law on Asset Location and Ownership Decisions
05T-002	Michael B. Freimer Douglas J. Thomas Jeffrey T. Linderoth	Reducing Bias in Stochastic Linear Programs with Sampling Methods
05T-001	Wasu Glankwamdee J.T. Linderoth	MW: A Software Framework for Combinatorial Optimization on Computational Grids
04T-024	Joseph C. Hartman Shangyuan Luo	Solving the Parallel Replacement Problem Under Economies of Scale and Non-Decreasing Demand with Branch-and-Cut
04T-023	J. T. Linderoth Ted K. Ralphs	Noncommercial Software for Mixed-Integer Linear Programming
04T-022	Ted K. Ralphs M. Guzelsoy	Duality, Warm Starting, and Sensitivity Analysis in Integer Line Programming
04T-021	Nicholas G. Odrey Gonzalo Mejía	An Augmented Petri Net Approach for Error Recovery in Manufacturing Systems Control
04T-020	T. K. Ralphs	SYMPHONY 5.0 User's Manual
04T-019	T. K. Ralphs M. V. Galati	Decomposition in Integer Linear Programming
04T-018	Lawrence V. Snyder Mark S. Daskin	A Random-Key Genetic Algorithm for the Generalized Traveling Salesman Problem
04T-017	Lawrence V. Snyder Mark S. Daskin Chung-Piaw Teo	The Stochastic Location Model with Risk Pooling
04T-016	Lawrence V. Snyder Mark S. Daskin	Reliability Models for Facility Location: The Expected Failure Cost Case
04T-015	Lawrence V. Snyder	Facility Location Under Uncertainty: A Review
04T-014	Lawrence V. Snyder Mark S. Daskin	Stochastic p-Robust Location Problems
04T-013	Gonzalo Mejía Nicholas G. Odrey	Real-Time Control and Error Recovery of Flexible Manufacturing Workstations: An Approach Based on Petri Nets
04T-012	Nicholas G. Odrey Gonzalo Mejía	Error Recovery for Real-Time Manufacturing Control Via Augmented Petri Nets
04T-011	T. K. Ralphs Menal Guzelsoy	The SYMPHONY Callable Library for Mixed Integer Programming
04T-010	Y. Xu T. K. Ralphs L. Ladányi M. J. Saltzman	ALPS: A Framework for Implementing Parallel Search Algorithms
04T-009	Thomas C. Perry Joseph C. Hartman	Allocating Manufacturing Capacity by Solving A Dynamic Stochastic Multi-Knapsack Problem
04T-008	Thomas C. Perry Joseph C. Hartman	Flexible Implementation of Dynamic Programs Using Numerical Representations of State Space Vectors
04T-007	Gonzalo Mejía Nicholas G. Odrey	Job Shop Scheduling in Manufacturing: An Approach Using Petri Nets and Heuristic Search
04T-006	Jeffrey Linderoth	A Simplicial Branch-and-Bound Algorithm for Solving Quadratically Constrained Quadratic Programs
04T-005	Peter A. Huegler Joseph C. Hartman	Fulfilling Customer Orders for Steel Plates from Existing Inventory
04T-004	Ted K. Ralphs Matthew J. Saltzman Margaret M. Wiecek	An Improved Algorithm for Solving Biobjective Integer Programs
04T-003	Louis J. Plebani Sihua Chen	Balancing U-Shaped Assembly Lines with Parallel Stations
04T-002	Joseph C. Hartman Alison Murphy	Finite Horizon Equipment Replacement Analysis
04T-001	Selcuk Avci Robert H. Storer	Compact Local Search Neighborhoods for Generalized Scheduling
03W-004	Andrew M. Ross	Useful Bounds on the Expected Maximum of Correlated Normal Variables
03T-011	T.K. Ralphs L. Ladanyi M.J. Saltzman	Parallel Branch, Cut, and Price for Large-Scale Discrete Optimization
03T-010	Serkan Özkan S. David Wu	Competitive Bidding Strategies in Repeated Procurement Auctions
03T-009	Murat Erkoc S. David Wu	Delivery-Date Coordination in an Internal Market via Risk Sharing
03T-008	Louis Plebani Sihua Chen	HUP: Heuristic for U-Shaped Parallel Lines
03T-007	Sihua Chen Louis Plebani	Balancing U-Shaped Assembly Lines
03T-006	T. K. Ralphs L. Ladányi	SYMPHONY 4.0 User’s Manual
03T-005	T. K. Ralphs M. V. Galati	Decomposition and Dynamic Cut Generation in Integer Programming
03T-003	Jennifer L. Rogers Joseph C. Hartman	Equipment Replacement Under Continuous and Discontinuous Technological Change
03T-002	Alison Kulp Joseph C. Hartman	Optimal Tax Depreciation and Loss Carry-Forward and Backward Options
03T-001	Shmuel Oren Andrew M. Ross	Can We Prevent the Gaming of Ramp Constraints
02W-002	Gonzalo Mejia Nicholas G. Odrey	A Multi-Level Multi-Layer Petri Net Approach to Modeling and Optimization of Production Systems
02W-001	Gonzalo Mejia Nicholas G. Odrey	Modeling and Optimization of Production Systems With Timed Color Petri Nets and Heuristic Search
02T-005	Mingzhou Jin S. David Wu	Procurement Auction with Supplier Coalitions: Validity Requirements and Mechanism Design
02T-004	Murat Erkoc S. David Wu	Managing High-Tech Capacity Expansion Via Reservation Contracts
02T-003	Peter A. Huegler Joseph C. Hartman	Problem Reduction for One-Dimensional Cutting and Packing Problems
01W-009	T. K. Ralphs J. C. Hartman	Capacitated Node Routing Problems (Preliminary Progress Report)
01T-011	T. K. Ralphs L. Ladanyi M. Esö	SYMPHONY 2.8 User’s Manual
01T-010	L. Ladanyi T. K. Ralphs M. Saltzman	A Library Hierarchy for Implementing Scalable Parallel Search Algorithms
01T-008	Mingzhou Jin S. David Wu	Modeling Capacity Reservation in High-Tech Manufacturing
01T-007	Erhan Kutanoglu S. David Wu	Collaborative Resource Planning with Distributed Agents
01T-006	Suleyman Karabuk S. David Wu	Incentive Schemes For Semiconductor Capacity Allocation
01T-005	Peiling Wu Joseph C. Hartman George R. Wilson	An Integrated Model and Solution Approach for Fleet Sizing with Heterogeneous Assets
01T-003	Hakan Golbasi S. David Wu	Lead-Time Coordination Between Marketing and Operations in an Internal Market
01T-002	Kadir Ertogral S. David Wu	A Bargaining Game for Supply Chain Contracting
01T-001	Suleyman Karabuk S. David Wu	Decentralizing Semiconductor Capacity Planning Via Internal Market Coordination
00T-013	Joseph C. Hartman Hui Wang	QFD Driven Resource Allocation Models Using Generalized Network Flow Structures
00T-012	Kadir Ertogral S. David Wu	A Bargaining Game for Supply Chain Contracting in Electronic Markets
00T-011	Erhan Kutanoglu S. David Wu	An Incentive Compatible Mechanism for Distributed Resource Planning
00T-010	Robert H. Storer Joseph C. Hartman	The Container Loading Problem with Tipping Considerations
00T-009	Suleyman Karabuk S. David Wu	Decentralizing Semiconductor Capacity Planning Via Internal Market Coordination
00T-008	Peiling Wu Joseph C. Hartman George R. Wilson	A Demand-Shifting Feasibility Algorithm for Benders Decomposition
00T-007	Mingzhou Jin S. David Wu	Contracting in Electronic Market-Driven Supply Chains: Models and Analysis
00T-006	Mingzhou Jin S. David Wu	Forming Supplier Coalitions in eCommerce Auctions: Validity Requirements and a Profit Distribution Mechanism
00T-005	Peter A. Huegler Joseph C. Hartman Louis A. Martin-Vega	An Analysis of Cutting Stock Problems Generated by CUTGEN1
00T-004	Murat Erkoc S. David Wu	Competitive Due-Date Setting Management Across Marketing and Manufacturing
00T-003	Selcuk Avci M. Selim Akturk Robert H. Storer	A Problem Space Algorithm for Single Machine Weighted Tardiness Problems
00T-002	Joseph C. Hartman Raymond V. Hartman	After-Tax Economic Replacement Analysis
00T-001	Robert M. E. Christie S. David Wu	Semiconductor Capacity Planning: Stochastic Modeling and Computational Studies
99T-012	Suleyman Karabuk S. David Wu	Strategic Capacity Planning in the Semiconductor Industry: A Stochastic Programming Approach
99T-011	Joseph C. Hartman Tongqiang Wu	Generalized Economic Life
99T-010	S. David Wu Hakan Golbasi	Manufacturing Planning Over Alternative Facilities: Modeling, Analysis and Algorithms
99T-009	Robert H. Storer	Extensions of and Uses for the Differencing Algorithm for Number Partitioning
99T-008	Joseph C. Hartman	Parallel Replacement Analysis Under Variable Asset Utilization and Stochastic Demand: The Two Asset Case
99T-007	Jianbiao Pan Gregory L. Tonkay Robert H. Storer Ronald M. Sallade David J. Leandri	Gauge Repeatability & Reproducibility Study for a 3-D Solder Paste Inspection System
99T-006	Jianbiao Pan Gregory L. Tonkay	A Study of the Aperture Filling Process in Solder Paste Stencil Printing
99T-005	Jianbiao Pan Gregory L. Tonkay Robert H. Storer Ronald M. Sallade David J. Leandri	Critical Variables of Solder Paste Stencil Printing for Micro-BGA and Fine Pitch QFP
99T-004	Kedar S. Naphade S. David Wu. Robert H. Storer	Graph-Theoretic Generation of Assembly Plans (Part II: Problem Decomposition and Optimization Algorithms)
99T-003	Kedar S. Naphade Robert H. Storer S. David Wu	Graph-Theoretic Generation of Assembly Plans (Part I: Correct Generation of Precedence Graphs)
99T-002	S. David Wu Robin O. Roundy Robert H. Storer Louis A. Martin-Vega	Manufacturing Logistics Research: Taxonomy and Directions
99T-001	Kadir Ertogral S. David Wu	Auction-Theoretic Coordination of Production Planning in the Supply Chain
98W-009	Peiling Wu Joseph C. Hartman George R. Wilson	Asset Replacement and Fleet Sizing in the Truck Rental Industry
98W-008	Murat Erkoc Nicholas G. Odrey	A Petri Net Model for Flexible and Dynamic Process Planning
98W-006	Jonathan D. Green Nicholas G. Odrey	Petri Net Models for Analysis and Control of Re-Entrant Flow Semiconductor Wafer Fabrication
98T-013	Mary J. Meixell S. David Wu	Scenario Analysis of Demands in a Technology Market Using Leading Indicators
98T-012	Jianbiao Pan Gregory L. Tonkay Alejandro Quintero	Screen Printing Process Design of Experiments for Fine Line Printing of Thick Film Ceramic Substrates
98T-011	Gregory L. Tonkay Jianbiao Pan Kannachai Kanlayasiri	Substrate Cleanliness Study in the Screen Printing of Thick Film Ceramic Substrates
98T-010	Kadir Ertogral S. David Wu Laura I. Burke	Integrating Production and Transportation Logistics in a Supply Chain Environment: A Lagrangean Decomposition Approach
98T-007	S. David Wu Mary J. Meixell	Relating Demand Behavior and Production Policies in the Manufacturing Supply Chain
98T-005	S. David Wu Hakan Golbasi	A Path Constrained Approach to Dynamic Network Routing: A Virtual Clustering and Flow Deviation Algorithm
98T-004	S. David Wu Hakan Golbasi	A Multicommodity Flow Model for Manufacturing Planning Over Alternative Facilities
98T-003	Joseph C. Hartman	An Economic Replacement Model with Probabilistic Asset Utilization
98T-002	Kadir Ertogral George R. Wilson	An Approach to Develop Base-Stock Inventory Control Policy in Serial Production Systems with Some Stochastic Features
98T-001	Erhan Kutanoglu S. David Wu	Improving Scheduling Robustness via Stochastic Analysis and Dynamic Adaptation

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