Global convergence and stabilization of unconstrained minimization methods without derivatives |
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Authors: | L. Grippo F. Lampariello S. Lucidi |
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Affiliation: | (1) Istituto di Analisi dei Sistemi ed Informatica, National Research Council, Rome, Italy |
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Abstract: | In this paper, acceptability criteria for the stepsize and global convergence conditions are established for unconstrained minimization methods employing only function values. On the basis of these results, the convergence of an implementable line search algorithm is proved and some global stabilization schemes are described.The authors would like to thank the anonymous referees for their useful suggestions. |
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Keywords: | Nonlinear programming unconstrained minimization nonderivative methods line search techniques |
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