The decision rule approach to optimisation under uncertainty : theory and applications

Optimisation under uncertainty has a long and distinguished history in operations research. Decision-makers realised early on that the failure to account for uncertainty in optimisation problems can lead to substantial unexpected losses or even infeasible solutions. Therefore, approximating the unce...

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Bibliographic Details
Main Author: Georghiou, Angelos
Other Authors: Rustem, Berc ; Kuhn, Daniel
Published: Imperial College London 2013
Subjects:
004
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.570049