Applying Stochastic Approximation Method with Delayed Observations in Exponential Distribution Case

Faculty Science Year: 2015
Type of Publication: ZU Hosted Pages:
Authors:
Journal: International Journal of Computer Applications, scholarty peer reviewd research publishing journal Volume:
Keywords : Applying Stochastic Approximation Method with Delayed    
Abstract:
The main purpose of this work is to investigate a loss regime, which can serve as a model for a modified random Rubens-Monroe approximation in the presence of delayed observations. Here we limit ourselves to the case of an exponential distribution. The results achieved for the loss system make it possible to deduce the efficiency of the procedure and give a hint for choosing the number of servers in the modified loss system.
   
     
 
       

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