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Applying Stochastic Approximation Method with Delayed Observations in Exponential Distribution Case

by R. A. Atwa
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 109 - Number 17
Year of Publication: 2015
Authors: R. A. Atwa
10.5120/19427-0856

R. A. Atwa . Applying Stochastic Approximation Method with Delayed Observations in Exponential Distribution Case. International Journal of Computer Applications. 109, 17 ( January 2015), 35-38. DOI=10.5120/19427-0856

@article{ 10.5120/19427-0856,
author = { R. A. Atwa },
title = { Applying Stochastic Approximation Method with Delayed Observations in Exponential Distribution Case },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 109 },
number = { 17 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 35-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume109/number17/19427-0856/ },
doi = { 10.5120/19427-0856 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:45:06.700493+05:30
%A R. A. Atwa
%T Applying Stochastic Approximation Method with Delayed Observations in Exponential Distribution Case
%J International Journal of Computer Applications
%@ 0975-8887
%V 109
%N 17
%P 35-38
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The main purpose of this work is investigated a loss system, which can serve as a model of modified Robbins-Monro stochastic approximation in the presence of delayed observations. Here we confine ourselves to the case of exponential distribution The results achieved for the loss system enable to conclude about the efficiency of the procedure and to give a hint for the choice of the number of servers in the modified loss system.

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Index Terms

Computer Science
Information Sciences

Keywords

Stochastic approximation efficiency of the procedure

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