Concave objective functions which are both piecewise linear and separable are often encountered in a wide variety of management science problems. Provided the constraints are linear, problems of this ...

We formulate a risk-averse two-stage stochastic linear programming problem in which unresolved uncertainty remains after the second stage. The objective function is formulated as a composition of ...

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.

Classification of diet models We distinguish between two classes: 1 Single-objective problems: minimize (or maximize) one linear function of Xi: Minimize.