scholarly journals Multiscale Quantum Gradual Approximation Algorithm: An Optimization Algorithm With a Step-by-Step Approximation Strategy

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 71548-71557
Author(s):  
Kun Cheng ◽  
Peng Wang ◽  
Zhendong Li
Keyword(s):  
Approximation Algorithm ◽  
Optimization Algorithm ◽  
Step Approximation

scholarly journals Efficiency of the stochastic approximation method

2012 ◽  
Vol 22 (1) ◽  
pp. 131-140
Author(s):  
Milos Japundzic
Keyword(s):  
Approximation Algorithm ◽  
Objective Function ◽  
Stochastic Approximation ◽  
Approximation Method ◽  
Optimization Algorithm ◽  
Step Length ◽  
Practical Aspect ◽  
Mean Values ◽  
Stochastic Approximation Algorithm ◽  
The Mean

The practical aspect of the stochastic approximation method (SA) is studied. Specifically, we investigated the efficiency depending on the coefficients that generate the step length in optimization algorithm, as well as the efficiency depending on the type and the level of the corresponding noise. Efficiency is measured by the mean values of the objective function at the final estimates of the algorithm, over the specified number of replications. This paper provides suggestions how to choose already mentioned coefficients, in order to achieve better performance of the stochastic approximation algorithm.

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