Gradient-type method for minimization of nonsmooth penalty functions

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1989 English Publisher:Springer Science and Business Media LLCJournal:Cybernetics, volume 24, pages 511-524 (issn: 0011-4235, eissn: 1573-8337,

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Authors: Danilin, Yu. M.;

doi: 10.1007/bf01070592

Gradient-type method for minimization of nonsmooth penalty functions

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Abstract

Summary: A method is developed for the minimization of exact penalty functions that does not require solving linear or quadratic programming problems. A fairly general procedure for analyzing the rate of convergence of exact penalty methods is proposed.

Keywords

exact penalty functions, Numerical mathematical programming methods, Nonlinear programming, Other numerical methods in calculus of variations, rate of convergence

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