A Rank-one Fitting Method for Unconstrained Optimization Problems
Abstract
We propose a rank-one fitting method for solving unconstrained optimzation problems. This method possesses some better properties: (a) which can ensure that the undated matrices is symmetric and positive definite; (b) the global convergence for non-convex function is established under suitable conditions. The numerical results are...
Paper Details
Title
A Rank-one Fitting Method for Unconstrained Optimization Problems
Published Date
Jan 1, 2009
Journal
Volume
22
Issue
1
Pages
118 - 122
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