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求解LC1优化问题的全局超线性收敛的信赖方法
引用本文:张立平,赖炎连.求解LC1优化问题的全局超线性收敛的信赖方法[J].高校应用数学学报(英文版),2001,16(1).
作者姓名:张立平  赖炎连
作者单位:Zhang Liping Lai Yanlian Institute of Applied Mathematics,Academia Sinica,Beijing 100080.
基金项目:Supported by the National Natural Science Foundation of P.R.China(1 9971 0 0 2 ) and the Subject of Beijing Educational Committ
摘    要:§ 1 IntroductionIn this paper we consider the following unconstrained optimization problem:minx∈ Rnf( x) , ( 1 )where f:Rn→R is a convex LC1 function,i.e.,a continuously differentiable convex func-tion whose gradient is Lipschitz continuous.We call the problem( 1 ) a convex LC1 opti-mization problem.This problem is an importantsubjectin nonlinear optimization.Applica-tions of such a minimization problem include stochastic quadratic programs1 ,2 ] and the ex-tended linear-quadratic pro…


A GLOBALLY AND SUPERLINEARLY CONVERGENT TRUST REGION METHOD FOR LC1 OPTIMIZATION PROBLEMS
Zhang Liping,Lai Yanlian.A GLOBALLY AND SUPERLINEARLY CONVERGENT TRUST REGION METHOD FOR LC1 OPTIMIZATION PROBLEMS[J].Applied Mathematics A Journal of Chinese Universities,2001,16(1).
Authors:Zhang Liping  Lai Yanlian
Abstract:A new trust region algorithm for solving convex LC 1 optimization problem is presented.It is proved that the algorithm is globally convergent and the rate of convergence is superlinear under some reasonable assumptions.
Keywords:LC  1  optimization problem  global and superlinear convergence  trust region method  
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