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Titlebook: Optimization and Applications; 13th International C Nicholas Olenev,Yuri Evtushenko,Igor Pospelov Conference proceedings 2022 The Editor(s)

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發(fā)表于 2025-3-26 23:06:13 | 只看該作者
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發(fā)表于 2025-3-27 03:36:26 | 只看該作者
Some Adaptive First-Order Methods for?Variational Inequalities with?Relatively Strongly Monotone Opeon the modification of the recently proposed, in smooth case [.], adaptive numerical method for generalized smooth (with H?lder condition) saddle point problem, which has convergence rate estimates similar to accelerated methods. We provide the motivation for such an approach and obtain theoretical
33#
發(fā)表于 2025-3-27 08:16:00 | 只看該作者
Compression and?Data Similarity: Combination of?Two Techniques for?Communication-Efficient Solving olly expensive practical applications make distributed methods for solving these problems popular. Meanwhile, most distributed systems have a basic problem – a communication bottleneck. There are various techniques to deal with it. In particular, in this paper we consider a combination of two popular
34#
發(fā)表于 2025-3-27 11:48:07 | 只看該作者
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發(fā)表于 2025-3-28 09:04:13 | 只看該作者
Olga Brezhneva,Yuri Evtushenko,Vlasta Malkova,Alexey Tret’yakovmics, aimed at the needs of statistical physicists.Reveals tThis book offers an in-depth study of two well-known models of “avalanche” dynamics, modified minimally by the inclusion of relaxation. Many complex systems respond to continuous inputs of energy by accumulation of stress over time, interru
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發(fā)表于 2025-3-28 12:28:13 | 只看該作者
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