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A conjugate-direction method based on a nonquadratic model
Authors:A. Tassopoulos  C. Storey
Affiliation:(1) Department of Mathematics, University of Technology, Loughborough, Leicestershire, England
Abstract:A conjugate-gradient method for unconstrained optimization, which is based on a nonquadratic model, is proposed. The technique has the same properties as the Fletcher-Reeves algorithm when applied to a quadratic function. It is shown to be efficient when tried on general functions of different dimensionality.
Keywords:Unconstrained optimization  conjugate-direction methods  numerical algorithms  rational models  quadratic models
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