24 search results - page 1 / 5 » Explicit Reformulations for Robust Optimization Problems wit... |
SIAMJO
2008
13 years 4 months ago
2008
We consider a rather general class of mathematical programming problems with data uncertainty, where the uncertainty set is represented by a system of convex inequalities. We prove...
TSP
2008
13 years 4 months ago
2008
Minimum variance beamforming, which uses a weight vector that maximizes the signal-to-interference-plus-noise ratio (SINR), is often sensitive to estimation error and uncertainty i...
PPDP
2010
Springer
13 years 3 months ago
2010
Springer
The presence of uncertainty in the real world makes robustness to be a desired property of solutions to constraint satisfaction problems. Roughly speaking, a solution is robust if...
SIAMJO
2002
13 years 4 months ago
2002
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 ...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
We pose robust matching with parametric and non-parametric constraints as the problem of finding a stable independent set (SIS) in an oriented graph whose vertices are all possible...