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MP
2006
110views more  MP 2006»
13 years 4 months ago
Extending Scope of Robust Optimization: Comprehensive Robust Counterparts of Uncertain Problems
In this paper, we propose a new methodology for handling optimization problems with uncertain data. With the usual Robust Optimization paradigm, one looks for the decisions ensurin...
Aharon Ben-Tal, Stephen Boyd, Arkadi Nemirovski
CSDA
2007
75views more  CSDA 2007»
13 years 4 months ago
Robust counterparts of errors-in-variables problems
Of interest here are linear data fitting problems with uncertain data which lie in a given uncertainty set. A robust counterpart of such a problem may be interpreted as the probl...
G. A. Watson
SIAMJO
2002
102views more  SIAMJO 2002»
13 years 4 months ago
Robust Solutions of Uncertain Quadratic and Conic-Quadratic Problems
We consider a conic-quadratic (and in particular a quadratically constrained) optimization problem with uncertain data, known only to reside in some uncertainty set U. The robust ...
Aharon Ben-Tal, Arkadi Nemirovski, Cees Roos
MP
2008
100views more  MP 2008»
13 years 4 months ago
Selected topics in robust convex optimization
Robust Optimization is a rapidly developing methodology for handling optimization problems affected by non-stochastic "uncertain-butbounded" data perturbations. In this p...
Aharon Ben-Tal, Arkadi Nemirovski
MP
2002
110views more  MP 2002»
13 years 4 months ago
Robust optimization - methodology and applications
Abstract. Robust Optimization (RO) is a modeling methodology, combined with computational tools, to process optimization problems in which the data are uncertain and is only known ...
Aharon Ben-Tal, Arkadi Nemirovski