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In chapter I we applied the concept of normal integrands that helped to ensure stochastic two-stage problems to be well-defined. With respect to these problems, we further outlined how to raise the saddle property for the integrand and how to model stochastic independence of random data. In this chapter we shall present a barycentric approximation technique that exploits these features (saddle property, stochastic independence) and assists in solving stochastic two-stage problems approximately.
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