This paper describes a method to arrive at a feasible solution which can not be found in the linearly approximated constrained domain and a process which would reduce the number of finite element ...

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 ...