  Opportunity cost matrices are interesting in the context of scenario
reduction. We provide new algorithms, based on ideas from algebraic geometry,
to efficiently compute the opportunity cost matrix using computational
algebraic geometry. We demonstrate the efficacy of our algorithms by computing
opportunity cost matrices for two stochastic integer programs.
