DocumentCode
3271230
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
fYear
1996
fDate
2-6 Dec 1996
Firstpage
590
Lastpage
592
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
0-7803-3104-4
Type
conf
DOI
10.1109/ICIT.1996.601659
Filename
601659
Link To Document