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
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-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 MILP
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 Biobjective Integer Programs and Its Application to Network Routing Problems
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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