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. Agreement on that, and on the steps to ...