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NTHRYS › PhD Assistance › Operations Research

Operations Research

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Operations Research

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Stochastic Dynamic Programming Algorithms
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Machine Learning Integrated Optimization
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Robust Optimization Under Uncertainty
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Distributed Optimization Networks
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Quantum Optimization Algorithms
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Real-time Supply Chain Optimization
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Large-Scale Network Flow Problems
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Bilevel Optimization Games
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Nonlinear Semidefinite Programming
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Approximation Algorithms Theory
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Healthcare Resource Allocation
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Vehicle Routing with Time Windows
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Online Learning Optimization
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Convex Relaxation Techniques
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Facility Location and Clustering
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Variational Inequalities Methods
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Sparse Optimization and Compressed Sensing
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Time-Dependent Traffic Flow Optimization
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Portfolio Optimization with Risk Measures
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Cutting Plane Methods and Separations
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Scheduled Maintenance Optimization
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Federated Learning Optimization
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Constraint Programming and Satisfaction
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Energy Grid Optimization and Balancing
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Submodular Optimization Applications
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Integer Programming Reformulations
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Smart City Infrastructure Planning
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First-Order Methods for Large Scale
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Production Planning with Uncertainties
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Workforce Scheduling Algorithms
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Column Generation and Branch-Price-Cut
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Game Theory Equilibrium Computation
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Disaster Response and Relief Planning
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Hyperparameter Optimization Methods
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Revenue Management and Pricing
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Augmented Lagrangian Methods
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Supply Chain Resilience Modeling
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Mixed-Integer Nonlinear Programming
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Environmental Impact Optimization
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Matching and Assignment Problems
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Adaptive Sampling and Sequential Design
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Manufacturing System Optimization
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Proximal and Splitting Methods
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Subscription and Revenue Bundling
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Traveling Salesman Variants
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Adversarial Optimization Games
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Stochastic Control and Estimation
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Graph Partitioning and Clustering
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Preference Elicitation Optimization
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Financial Network Systemic Risk
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Conic Optimization and Interior Point Methods
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Derivative-Free Optimization for Simulation-Based Problems
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Combinatorial Optimization with Machine Learning
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Stochastic Approximation and Convergence Analysis
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Decentralized and Consensus Optimization Algorithms
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Exponential Mechanism and Differential Privacy Optimization
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Parametric Optimization and Sensitivity Analysis
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Chance-Constrained Optimization Under Uncertainty
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Federated Resource Allocation Networks
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Multi-Objective Evolutionary Optimization Algorithms
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Dynamic Pricing with Demand Learning
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Dualization and Lagrangian Relaxation Techniques
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Nonsmooth and Nonconvex Optimization Methods
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Inventory Control with Correlated Demands
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Network Design with Reliability Constraints
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Online Convex Optimization Regret Bounds
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Auction Design and Mechanism Theory Optimization
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Markov Decision Processes with Large State Spaces
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Inverse Optimization and Preference Learning
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Temporal Decomposition for Multi-Stage Stochastic Programs
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Collaborative Filtering and Recommendation Systems Optimization
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Warm-starting and Solution Transfer Optimization
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Risk-Averse Stochastic Programming with CVaR
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Reinforcement Learning with Optimization Constraints
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Cross-Dock and Transshipment Network Design
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Sparse and Low-Rank Matrix Recovery Methods
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Personnel Scheduling with Fairness Criteria
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Gradient Descent Variants and Acceleration Methods
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Robust Control Synthesis via Convex Optimization
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Location-Routing Integration for Last-Mile Delivery
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Kernel Methods and Support Vector Optimization
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Sparse Portfolio Selection with Transaction Costs
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Coordination in Supply Networks using Contracts
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Variational Methods and Optimal Transport
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Integer Linear Programming Formulations and Strength
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Networked Control Systems and Distributed Estimation
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Algorithm Portfolios and Hybrid Metaheuristics
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Green Logistics and Carbon Footprint Minimization
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Tensor Decomposition and Optimization Methods
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Real-time Dispatching and Dynamic Routing Algorithms
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Spectral Methods and Eigenvalue Optimization
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Inventory Transshipment and Lateral Transshipment
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Accelerated Methods with Composite Objectives
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Humanitarian Logistics and Disaster Relief Optimization
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Project Scheduling with Resource Constraints and Leveling
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Zeroth-Order Optimization and Black-Box Methods
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Cross-Selling and Bundle Optimization in E-commerce
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Bilevel Optimization in Hyperparameter Tuning
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Subgradient and Proximal Gradient Algorithms
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Healthcare Appointment Scheduling and Capacity Planning
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Derivative-Free and Black-Box Optimization
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Combinatorial Optimization via Metaheuristics
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Two-Stage Stochastic Programming Applications
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Gradient Descent and Acceleration Methods
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Multi-Objective Optimization and Pareto Frontiers
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Decomposition Methods for Large Problems
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Convex Geometry and Polytope Theory
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Bandit Problems and Exploration-Exploitation
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Network Design and Expansion Planning
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Inverse Optimization and Parameter Estimation
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Markov Decision Processes and Control
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Chance-Constrained Optimization Models
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Linear Programming Duality and Sensitivity
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Time-Series Forecasting for Operations
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Network Equilibrium and Traffic Assignment
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Inventory Management Under Demand Uncertainty
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Online Algorithms and Competitive Analysis
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Reinforcement Learning in Operations
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Robust Control and Worst-Case Analysis
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Queueing Theory and Performance Analysis
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Manpower Planning and Career Path Optimization
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Optimal Transport and Wasserstein Distances
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Adaptive Robust Optimization Strategies
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Nonconvex Optimization Theory and Algorithms
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Data-Driven Optimization and Machine Learning
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Simulation-Based Optimization Methods
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Auction-Based Resource Allocation
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Hospital Bed Management and Scheduling
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Supply Chain Network Optimization
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Preference Learning from Choice Data
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Variance Reduction in Stochastic Optimization
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Scheduling with Machine Learning Predictions
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Integer Solutions in Relaxed Programs
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Location-Allocation and Coverage Models
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Equity and Fairness in Resource Allocation
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Cyclic Scheduling and Periodic Operations
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Power Systems Operation and Stability
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Algorithmic Game Theory Applications
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Air Traffic Flow Management Optimization
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Portfolio Optimization and Asset Allocation
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Tensor Decomposition and Multilinear Optimization
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Patient Flow and Hospital Operations
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Drone and Autonomous Vehicle Routing
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Auction Participation and Bidding Strategy
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Pricing and Revenue Optimization
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Network Reliability and Survivability
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Bulk Service and Batch Processing Optimization
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Consensus and Decentralized Optimization
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Conic Programming and Interior Point Methods
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Multi-Objective Evolutionary Algorithms Design
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Decomposition Methods for Large Systems
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Stochastic Approximation and Gradient Descent
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Network Design and Optimization
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Markov Decision Process Applications
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Simulated Annealing and Metaheuristics
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Water Resource Management Optimization
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Scheduling Theory and Job Shop Problems
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Cooperative Game Theory Applications
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Convex Geometry and Polytope Analysis
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Online Optimization and Competitive Analysis
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Nonsmooth Optimization Techniques
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Airline Fleet Assignment Problem
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Tensor Decomposition and Factorization
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Queueing Theory and Network Analysis
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Combinatorial Auction Winner Determination
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Parallel and GPU-Accelerated Algorithms
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Bilinear Matrix Inequalities Optimization
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Drone Delivery Route Optimization
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Equilibrium Programming and Variational Methods
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Knapsack Problem Variants and Solutions
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Sparse Linear Systems and Factorization
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Patient Admission and Bed Management
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Semidefinite Relaxations and Bounds
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Wireless Network Spectrum Allocation
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Credit Risk Portfolio Management
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Asymmetric Traveling Salesman Problem
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Optimization under Complementarity Constraints
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Autonomous Vehicle Path Planning
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Second-Order Optimization Methods
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Forest Resource Harvesting Optimization
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Chance-Constrained Programming Methods
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Sensor Network Deployment Optimization
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Convex-Concave Saddle Point Problems
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Pharmaceutical Supply Chain Coordination
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Mixed-Integer Conic Programming
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Demand Response and Smart Grids
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Coordinate Descent and Randomized Methods
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Traffic Signal Timing Optimization
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Preference Learning in Combinatorial Choice Optimization
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Decentralized Consensus Algorithms for Networked Systems
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Information Theory in Optimization
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Temporal Decomposition Methods for Dynamic Optimization
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Hotel Revenue Management Systems
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Data-Driven Stochastic Optimization with Limited Observations
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Monotone Operator Splitting Methods
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Retail Store Location Network
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Hypergraph Partitioning and Multi-Way Clustering
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Inverse Optimization and Parameter Recovery
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Randomized Rounding and Derandomization
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Fair Resource Allocation and Multi-Agent Equity
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