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.

Fundamental Theorems Theorem 1 Let R be the feasible region (convex polygon) for a linear programming problem and let Z = ax + by be the objective function. When Z has an optimal value (maximum or ...

Example 8.9: Linear Programming The two-phase method for linear programming can be used to solve the problem A routine written in IML to solve this problem follows. The approach appends slack, surplus ...

In this paper we propose a stochastic programming model which considers the distribution of an objective function and probabilistic constraints. Applying it to a transportation type problem, we derive ...

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 ...