Efficient algorithms for least squares type problems with bounded uncertainties
Proceedings of the second international workshop on Recent advances in total least squares techniques and errors-in-variables modeling
Robust Solutions to Least-Squares Problems with Uncertain Data
SIAM Journal on Matrix Analysis and Applications
Mathematics of Operations Research
Robust collaborative-relay beamforming
IEEE Transactions on Signal Processing
Strong Duality in Robust Convex Programming: Complete Characterizations
SIAM Journal on Optimization
Operations Research Letters
A robust von Neumann minimax theorem for zero-sum games under bounded payoff uncertainty
Operations Research Letters
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We study the dual problems associated with the robust counterparts of uncertain convex programs. We show that while the primal robust problem corresponds to a decision maker operating under the worst possible data, the dual problem corresponds to a decision maker operating under the best possible data.