Mathematical Programming: Series A and B
New variants of bundle methods
Mathematical Programming: Series A and B
Location of the Maximum on Unimodal Surfaces
Journal of the ACM (JACM)
Lectures on modern convex optimization: analysis, algorithms, and engineering applications
Lectures on modern convex optimization: analysis, algorithms, and engineering applications
Convex Optimization
Non-euclidean restricted memory level method for large-scale convex optimization
Mathematical Programming: Series A and B
Smooth minimization of non-smooth functions
Mathematical Programming: Series A and B
An old linear programming algorithm runs in polynomial time
SFCS '82 Proceedings of the 23rd Annual Symposium on Foundations of Computer Science
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The goal of this paper is to introduce the notion of certificates, which verify the accuracy of solutions of computational problems with convex structure. Such problems include minimizing convex functions, variational inequalities with monotone operators, computing saddle points of convex-concave functions, and solving convex Nash equilibrium problems. We demonstrate how the implementation of the ellipsoid method and other cutting plane algorithms can be augmented with the computation of such certificates without significant increase of the computational effort. Further, we show that (computable) certificates exist for any algorithm that is capable of producing solutions of guaranteed accuracy.