Title :
Practical convergence of distributed stochastic iterative processes
Author :
Deng, Feiqi ; Feng, Zhaoshu ; Liu, Yongqing
Author_Institution :
Dept. of Autom., South China Univ. of Technol., Guangzhou, China
Abstract :
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
Keywords :
Lyapunov methods; convergence of numerical methods; iterative methods; probability; state-space methods; stochastic processes; stochastic systems; Lyapunov function method; convergence; distributed stochastic iterative processes; probability; stochastic processes; Concrete; Convergence; Distributed processing; Iterative algorithms; Iterative methods; Lyapunov method; Optimization methods; Paper technology; Stochastic processes; Stochastic systems;
Conference_Titel :
Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-3104-4
DOI :
10.1109/ICIT.1996.601659
