In linear programming, the objective function is the function that it is desired to maximize or minimize. The human interaction equivalent is what matters most.

Our main result shows that computing a tight upper bound on the expected value of a mixed 0-1 linear program in maximization form with random objective is a completely positive program. This naturally ...

A procedure is developed for representing competitive and noncompetitive market structures in linear programming models. Arbitrarily close approximations to nonlinear forms--in both the objective ...