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Titlebook: Advances in Optimization and Applications; 13th International C Nicholas Olenev,Yuri Evtushenko,Igor Pospelov Conference proceedings 2022 T

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樓主: Prehypertension
11#
發(fā)表于 2025-3-23 10:05:33 | 只看該作者
Constructive Behavioral Semanticsecentralized optimization is pretty well-developed in the literature. In particular, it includes lower bounds and optimal algorithms. In this paper, we assume that along with an objective, each node also holds affine constraints. We discuss several primal and dual approaches to decentralized optimization problem with affine constraints.
12#
發(fā)表于 2025-3-23 17:52:12 | 只看該作者
13#
發(fā)表于 2025-3-23 20:21:36 | 只看該作者
https://doi.org/10.1007/978-0-387-70628-3f quasilinear recurrence equation. We use it to solve the problem of regression analysis with mutually dependent observable variables, which allows to implement the generalized last deviations method (GLDM). Using this model we held the computational experiment. The model using the identified parameters allows to obtain the long-time forecast.
14#
發(fā)表于 2025-3-23 22:59:48 | 只看該作者
Eine Spracherweiterung: Prozesse,ence of the proposed algorithm and an estimation of the distance from the starting point to the output point of the algorithm. Numerical experiments and comparisons are presented to illustrate the advantages of the proposed algorithm in some examples.
15#
發(fā)表于 2025-3-24 04:24:27 | 只看該作者
16#
發(fā)表于 2025-3-24 08:31:50 | 只看該作者
https://doi.org/10.1007/978-3-031-22990-9adaptive algorithms; artificial intelligence; communication systems; computer hardware; computer network
17#
發(fā)表于 2025-3-24 14:10:34 | 只看該作者
18#
發(fā)表于 2025-3-24 18:22:53 | 只看該作者
19#
發(fā)表于 2025-3-24 22:31:17 | 只看該作者
20#
發(fā)表于 2025-3-25 00:14:50 | 只看該作者
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