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In this paper, we investigate a class of unconstrained minimization methods including Fletcher-Reeves (abbr. FR) conjugate gradient method with perturbations. Their stepsizes are determined by generalized Wolfe line search. We prove that these methods are globally convergent under mild conditions, and in doing so, we remove various boundedness conditions such as boundedness from blow of f, boundedness...
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