Abstract
In this paper we present a framework for solving stochastic programs with complete integer recourse and discretely distributed right-hand side vector, using Gröbner basis methods from computational algebra to solve the numerous second-stage integer programs. Using structural properties of the expected integer recourse function, we prove that under mild conditions an optimal solution is contained in a finite set. Furthermore, we present a basic scheme to enumerate this set and suggest improvements to reduce the number of function evaluations needed.
| Original language | English |
|---|---|
| Pages (from-to) | 229-252 |
| Number of pages | 24 |
| Journal | Mathematical Programming |
| Volume | 83 |
| Issue number | 1/3 |
| DOIs | |
| Publication status | Published - 1998 |
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