Practical convergence of distributed stochastic iterative processes
Feiqi Deng, Zhao-Shu Feng, Yongqing Liu · 2002
This paper is devoted to the investigation of practical convergence of distributed stochastic iterative processes. The practical convergence of distributed stochastic iterative processes is first defined, a comparison principle for the Lyapunov function method is then given and a concrete practical convergence criterion for the linear case is obtained.