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A Least-Squares/Relaxation Method for the Numerical Solution of the Three-Dimensional Elliptic Monge-Ampere Equation

From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming

A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming

Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers

A Lagrangian relaxation technique for the demand-based benefit maximization problem

The Support Of Integer Optimal Solutions

Hierarchical control of heterogeneous large-scale urban road networks via path assignment and regional route guidance

Integrating discrete choice models in mixed integer linear programming to capture the interactions between supply and demand

A Lagrangian relaxation technique for the demand-based benefit maximization problem

A Lagrangian relaxation technique for the demand-based benefit maximization problem

The Support Of Integer Optimal Solutions

A Lagrangian relaxation technique for the demand-based benefit maximization problem

A Least-Squares/Relaxation Method for the Numerical Solution of the Three-Dimensional Elliptic Monge-Ampere Equation

From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming

A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming

Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers

Hierarchical control of heterogeneous large-scale urban road networks via path assignment and regional route guidance

A Lagrangian relaxation technique for the demand-based benefit maximization problem

Integrating discrete choice models in mixed integer linear programming to capture the interactions between supply and demand

A Lagrangian relaxation technique for the demand-based benefit maximization problem