Titlebook: Distributed Optimization, Game and Learning Algorithms; Theory and Applicati Huiwei Wang,Huaqing Li,Bo Zhou Book 2021 The Editor(s) (if app

PTCA635

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

不朽中國

艦旗

Bernstein-test

煩人

Obvious

Conjuction

NOCT

Goblet-Cells

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.

institute