arXiv · 1602.01686
Dual approaches to the strongly convex simple function minimization problem under affine restrictions
Abstract
We consider strongly convex optimization problems with affine-type restrictions. We build dual problem and solve dual problem by Fast Gradient Method. We use primal-dual structure of this method to construct the solution of the primal problem. The paper contain a lot of different tricks that allows to generalize mentioned above results for almost all methods we would like to choose to solve the dual problem.
Explore related subjects
Keep this discovery
Anton Anikin, Alexander Gasnikov, Pavel Dvurechensky, Alexander Turin, Alexey Chernov. 2016-02-04. Dual approaches to the strongly convex simple function minimization problem under affine restrictions. https://arxiv.org/abs/1602.01686
Cite the original work for its findings. Save a collection to share your selection of sources.