Narrow search
Showing 1 - 6 of 6
Cover Image
Greedy quasi-Newton methods with explicit superlinear convergence
Rodomanov, Anton; Nesterov, Jurij Evgenʹevič - 2020
Persistent link: https://www.econbiz.de/10012271195
Cover Image
Rates of superlinear convergence for classical quasi-Newton methods
Rodomanov, Anton; Nesterov, Jurij Evgenʹevič - 2020
Persistent link: https://www.econbiz.de/10012271203
Cover Image
New results on superlinear convergence of classical quasi-Newton methods
Rodomanov, Anton; Nesterov, Jurij Evgenʹevič - 2020
Persistent link: https://www.econbiz.de/10012271209
Cover Image
Dual subgradient method with averaging for optimal resource allocation
Nesterov, Jurij Evgenʹevič; Shikhman, Vladimir - 2017
Persistent link: https://www.econbiz.de/10011990824
Cover Image
Gradient methods with memory
Nesterov, Jurij Evgenʹevič; Florea, Mihai I. - 2019
Persistent link: https://www.econbiz.de/10012215158
Cover Image
Convergent subgradient methods for nonsmooth convex minimization
NESTEROV, Yu.; SHIKHMAN, Vladimir - Center for Operations Research and Econometrics (CORE), … - 2014
In this paper, we develop new subgradient methods for solving nonsmooth convex optimization problems. These methods are the first ones, for which the whole sequence of test points is endowed with the worst-case performance guarantees. The new methods are derived from a relaxed estimating...
Persistent link: https://www.econbiz.de/10010927696