On the approximability of adjustable robust convex optimization under uncertainty

In this paper, we consider adjustable robust versions of convex optimization problems with uncertain constraints and objectives and show that under fairly general assumptions, a static robust solution provides a good approximation for these adjustable robust problems. An adjustable robust optimizati...

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Bibliographic Details
Main Authors: Bertsimas, Dimitris J. (Contributor), Goyal, Vineet (Author)
Other Authors: Sloan School of Management (Contributor)
Format: Article
Language:English
Published: Springer-Verlag, 2014-06-04T14:25:02Z.
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