I am having a hard time understanding the very first example in "A Tutorial on Stochastic Programming".
More specifically the authors show that one can formulate the stochastic variant of (1.2) with Eq (1.8).
My question:
How should one interpret (1.8) (i.e. how do the new inequalities allow us to explore two different scenarios in the problem?)