Upper bounds for Gaussian stochastic programs

Upper bounds for Gaussian stochastic programs

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Article ID: iaor20002450
Country: Germany
Volume: 86
Issue: 1
Start Page Number: 51
End Page Number: 63
Publication Date: Jan 1999
Journal: Mathematical Programming
Authors: ,
Abstract:

We present a construction which gives deterministic upper bounds for stochastic programs in which the randomness appears on the right-hand-side and has a multivariate Gaussian distribution. Computation of these bounds requires the solution of only as many linear programs as the problem has variables.

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