Relation between the memory gradient method and the Fletcher-Reeves method |
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Authors: | Joel W Cantrell |
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Institution: | (1) Department of Mechanical and Aerospace Engineering and Materials Science, Rice University, Houston, Texas;(2) Present address: LTV Aerospace Corporation, Dallas, Texas |
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Abstract: | The minimization of a function of unconstrained variables is considered using the memory gradient method. It is shown that, for the particular case of a quadratic function, the memory gradient algorithm and the Fletcher-Reeves algorithm are identical.This research was supported by the Office of Scientific Research, Office of Aerospace Research, United States Air Force, Grant No. AF-AFOSR-828-67. In more expanded form, it can be found in Ref. 1. |
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