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摘要
En 中文
Dear Editor, This letter aims to investigate the optimization problem where the decision variable is contained in a closed convex set. By combing the gradient decent-like method with the push-sum algorithm framework, we design the distributed iterative formulas under the condition that the considered graphs sequence is time-varying and unbalanced. Under some standard assumptions on the problem setting and the decaying step-sizes, we analyze the convergence property of the generated variables sequence under the proposed iterative formulas.
Keyword:
DISTRIBUTED OPTIMIZATION
DIRECTED-GRAPHS
CONVERGENCE
期刊
I
IF:
19.2
论文数:
1.4K
被引数:
1.1W
机构
引用论文
Distributed Continuous-Time Optimization: Nonuniform Gradient Gains, Finite-Time Convergence, and Convex Constraint Set分布式连续时间优化: 非均匀梯度增益,有限时间收敛和凸约束集

