標(biāo)題: Titlebook: Distributed Optimization, Game and Learning Algorithms; Theory and Applicati Huiwei Wang,Huaqing Li,Bo Zhou Book 2021 The Editor(s) (if app [打印本頁] 作者: Clinical-Trial 時間: 2025-3-21 18:32
書目名稱Distributed Optimization, Game and Learning Algorithms影響因子(影響力)
書目名稱Distributed Optimization, Game and Learning Algorithms影響因子(影響力)學(xué)科排名
書目名稱Distributed Optimization, Game and Learning Algorithms網(wǎng)絡(luò)公開度
書目名稱Distributed Optimization, Game and Learning Algorithms網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Distributed Optimization, Game and Learning Algorithms被引頻次
書目名稱Distributed Optimization, Game and Learning Algorithms被引頻次學(xué)科排名
書目名稱Distributed Optimization, Game and Learning Algorithms年度引用
書目名稱Distributed Optimization, Game and Learning Algorithms年度引用學(xué)科排名
書目名稱Distributed Optimization, Game and Learning Algorithms讀者反饋
書目名稱Distributed Optimization, Game and Learning Algorithms讀者反饋學(xué)科排名
作者: 遺忘 時間: 2025-3-22 00:10
Constrained Consensus of Multi-agent Systems with Time-Varying Topology,a closed convex constraint set. The communication graphs of this asynchronous system are assumed to be directed, unbalanced, dynamically changing. In addition, their union graph is assumed to be strongly connected within a certain interval of finite length. To deal with the asynchronous communicatio作者: CLOUT 時間: 2025-3-22 01:30
Distributed Optimization Under Inequality Constraints and Random Projections,nction that is the sum of local convex objective functions, subject to global convex inequality constraints and several randomly occurring local convex state constraint sets. A distributed primal-dual random projection subgradient (DPDRPS) algorithm with diminishing stepsize using local communicatio作者: 常到 時間: 2025-3-22 07:05 作者: BRIEF 時間: 2025-3-22 10:28
Linear Convergence for Constrained Optimization Over Time-Varying Digraphs, of all local convex objective functions. Each agent in the network possesses only its private local convex objective function and is constrained to a coupling equality constraint and its local inequality constraint. Moreover, we particularly focus on the scenario where each agent is only allowed to作者: 針葉類的樹 時間: 2025-3-22 15:35
Stochastic Gradient-Push for Economic Dispatch on Time-Varying Digraphs,eting total demands and complying with individual generator output constraints. This chapter proposes a distributed optimization algorithm with noisy gradient based on stochastic gradient-push approach to solve the EDP on time-varying directed communication networks potentially with time delays. It 作者: 針葉類的樹 時間: 2025-3-22 17:26 作者: sundowning 時間: 2025-3-22 22:57 作者: mediocrity 時間: 2025-3-23 04:00
Reinforcement Learning for PHEV Route Choice Based on Congestion Game,ybrid Electric Vehicles) in traffic/charging networks, who aims to seek the optimal travel route that minimizes the individual travel time. The optimal route choice strategy is presented by the Nash equilibrium of the congestion game. By constructing a novel potential function, the congestion game i作者: CURB 時間: 2025-3-23 07:42
Constrained Consensus of Multi-agent Systems with Time-Varying Topology,arts of the newly constructed system converge and the nonlinear parts vanish over time. Finally, two numerical examples are provided to show the effectiveness of the method and the correctness of theoretical analysis.作者: PTCA635 時間: 2025-3-23 13:36
Linear Convergence for Constrained Optimization Over Time-Varying Digraphs, also the step-sizes are uncoordinated. An important feature of DPD-PD is handling distributed constrained optimisation problems in the case of time-varying directed unbalanced networks. When objective functions are strongly convex and smooth, we demonstrate that DPD-PD converges linearly to the opt作者: 不朽中國 時間: 2025-3-23 15:55 作者: 艦旗 時間: 2025-3-23 21:45 作者: Bernstein-test 時間: 2025-3-23 23:53 作者: 煩人 時間: 2025-3-24 03:05 作者: Obvious 時間: 2025-3-24 06:48 作者: Conjuction 時間: 2025-3-24 10:46 作者: NOCT 時間: 2025-3-24 18:19 作者: Goblet-Cells 時間: 2025-3-24 21:30
Distributed Optimization Under Inequality Constraints and Random Projections,ns and computations is proposed to solve such a problem. By employing iterative inequality techniques, the proposed DPDRPS algorithm is proved to be convergent almost surely. Finally, a numerical example is given to illustrate the effectiveness of the method and the correctness of theoretical analysis.作者: institute 時間: 2025-3-25 02:08 作者: indoctrinate 時間: 2025-3-25 03:43
The Statesman‘s Year-Book, 1996-7I) system inequality, the algorithm is proved to be able to linearly converge to the exact optimal solution. Furthermore, the ranges of step-size and momentum parameter are characterized, respectively. Finally, simulation results illustrate effectiveness of the method and correctness of theoretical analysis.作者: antidepressant 時間: 2025-3-25 09:15 作者: 昆蟲 時間: 2025-3-25 12:17
Great Britain and Northern Irelandp-size by utilizing Bregman-distance functions. Moreover, we provide sharp bounds on the convergence rates as a function of the network size and topology embodied in the inverse spectral gap. Finally, we present a numerical example to evaluate our algorithm and compare its performance with several similar algorithms.作者: 功多汁水 時間: 2025-3-25 17:40
The Statesman‘s Year-Book, 1996-7ns and computations is proposed to solve such a problem. By employing iterative inequality techniques, the proposed DPDRPS algorithm is proved to be convergent almost surely. Finally, a numerical example is given to illustrate the effectiveness of the method and the correctness of theoretical analysis.作者: 共和國 時間: 2025-3-25 22:53
oduces the latest distributed optimization, game, and learniThis book provides the fundamental theory of distributed optimization, game and learning. It includes those working directly in optimization,-and also many other issues like time-varying topology, communication delay, equality or inequality作者: cultivated 時間: 2025-3-26 03:50
Book 2021 many other issues like time-varying topology, communication delay, equality or inequality constraints,-and random projections. This book is meant for the researcher and engineer who uses distributed optimization, game and learning theory in fields like dynamic economic dispatch, demand response man作者: 上漲 時間: 2025-3-26 07:31
The Statesman‘s Year-Book, 1996-7t functions are considered as strictly convex and strongly convex functions respectively with convergence rate of . and .. Simulation results are provided to validate the availability of the algorithm.作者: ingestion 時間: 2025-3-26 09:50
The Statesman‘s Year-Book, 1996-7h guarantee the existence of the mixed-strategy NE. By the strict diagonal concavity of the regularized Lagrange function, the uniqueness of NE is also guaranteed. Finally, an adaptive learning algorithm is provided to generate the strategy probability distribution for seeking the mixed-strategy NE.作者: Overthrow 時間: 2025-3-26 12:59
The Statesman‘s Year-Book, 1996-7d based on the Nguyen–Dupuis network, the experimental results not only demonstrate the correctness of theoretical results, but also show that the B–M RL-based solution method outperforms several existing solution methods.作者: 冒失 時間: 2025-3-26 18:34 作者: rheumatism 時間: 2025-3-26 21:40 作者: Armada 時間: 2025-3-27 02:23
Reinforcement Learning for PHEV Route Choice Based on Congestion Game,d based on the Nguyen–Dupuis network, the experimental results not only demonstrate the correctness of theoretical results, but also show that the B–M RL-based solution method outperforms several existing solution methods.作者: 博識 時間: 2025-3-27 06:43 作者: 嘮叨 時間: 2025-3-27 12:14 作者: Fulsome 時間: 2025-3-27 15:12 作者: 沙漠 時間: 2025-3-27 20:42
The Statesman‘s Year-Book, 1996-7ex functions over strongly connected and directed graphs. A novel distributed algorithm is proposed where both row and column-stochastic matrices are utilized to bypass the limits of the implementation of doubly-stochastic matrices or eigenvector estimation in related work. Besides, it has an eviden作者: 名次后綴 時間: 2025-3-27 23:31
The Statesman‘s Year-Book, 1996-7 of all local convex objective functions. Each agent in the network possesses only its private local convex objective function and is constrained to a coupling equality constraint and its local inequality constraint. Moreover, we particularly focus on the scenario where each agent is only allowed to作者: output 時間: 2025-3-28 03:50
The Statesman‘s Year-Book, 1996-7eting total demands and complying with individual generator output constraints. This chapter proposes a distributed optimization algorithm with noisy gradient based on stochastic gradient-push approach to solve the EDP on time-varying directed communication networks potentially with time delays. It 作者: 虛情假意 時間: 2025-3-28 09:54 作者: insurrection 時間: 2025-3-28 11:25
The Statesman‘s Year-Book, 1996-7among individually strategic players with incomplete information. In this game, each player uses the learning automaton (LA) scheme to generate the action probability distribution based on his/her private information for maximizing own averaged utility. It is shown that if one of admissible mixed-st作者: 脖子 時間: 2025-3-28 17:43
The Statesman‘s Year-Book, 1996-7ybrid Electric Vehicles) in traffic/charging networks, who aims to seek the optimal travel route that minimizes the individual travel time. The optimal route choice strategy is presented by the Nash equilibrium of the congestion game. By constructing a novel potential function, the congestion game i作者: 痛恨 時間: 2025-3-28 19:19
https://doi.org/10.1007/978-981-33-4528-7Distributed Optimization; Game Theory; Learning Algorithms; Smart Grid Systems; Time-varying Topology作者: 哪有黃油 時間: 2025-3-28 23:12
978-981-33-4530-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: 支架 時間: 2025-3-29 04:09
Book 2021 many other issues like time-varying topology, communication delay, equality or inequality constraints,-and random projections. This book is meant for the researcher and engineer who uses distributed optimization, game and learning theory in fields like dynamic economic dispatch, demand response management and PHEV routing of smart grids..
