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TongXiaojiao ZhouShuzi 《高校应用数学学报(英文版)》2000,15(1):93-98
Abstract. This paper presents a trust region algorithm for nonlinear optimization with linear in-equality constraints. The global convergence of the algorithm is proved. Local quadratic con-vergence is obtained for a strong local minimizer. 相似文献
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1IntroductionOurproblemistominimizeafllnctionofnvariables,wheref:R"~R',fECZalldgdenotesthegradientoff.Problem(1)isoftellsolvedbyvaxiouscolljugategradientmethodsofthefornl:wherePhisascalar,andAhisastepsizechosenbymeansofolle-dimentiollalsearcllrules.VariousconjugategradientInethodsarecharacterizedbydifferentchoiceofPh,thebestkllowllforlllulaeforPharecalledtheFletcher-Reeves(FR),Polak-Ribiere(PR),alldHestenes-Stiefel(HS)forlrmlar,andarerespectivelygivenbyThecolljugategradientlllethodcor… 相似文献
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时贞军 《高等学校计算数学学报(英文版)》1995,(1)
In this paper, by using a new projection, we construct a variant of Zhang's algorithm and prove its convergence. Specially, the variant of Zhang's algorithm has quadratic termination and superlinear convergence rale under certain conditions. Zhang's algorithm hasn't these properties. 相似文献
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