Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/17894
Title: | A New Algorithm for Stochastic Approximation |
Authors: | Griscik, Michael Paul |
Advisor: | Sinha, N.K. |
Department: | Electrical Engineering |
Keywords: | stochastic, algorithm, approximation, convergence, optimization |
Publication Date: | Apr-1970 |
Abstract: | <p> A review of Stochastic Approximation and the major contributions to the area is made. A proof of convergence for the algorithm is developed. An optimization is attempted on the rate of convergence problem and the uniqueness problem is faced. An alternative proof of convergence is given as an independent check on the first one. Simulation results are present in light of the theory developed, and conclusions, limitations and recommendations are presented. </p> |
URI: | http://hdl.handle.net/11375/17894 |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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Griscik_Michael_P._1970Apr_Masters..pdf | 4.9 MB | Adobe PDF | View/Open |
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