Minimizing Functions with Bounded Variation of Subgradients
Copyright policy ) NESTEROV, Yu.;
Minimizing Functions with Bounded Variation of Subgradients
In many applications it is possible to justify a reasonable bound for possible variation of subgradients of objective function rather than for their uniform magnitude. In this paper we develop a new class of efficient primal-dual subgradient schemes for such problem classes.
Belgium
- Université Catholique de Louvain Belgium
Non-smooth optimization, Subgradient methods, convex optimization, subgradient methods, non-smooth optimization, blackbox methods, lower complexity bounds, Lower complexity bounds, Blackbox methods, Convex optimization
Non-smooth optimization, Subgradient methods, convex optimization, subgradient methods, non-smooth optimization, blackbox methods, lower complexity bounds, Lower complexity bounds, Blackbox methods, Convex optimization
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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