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对非线性规划的一类Di Pillo-Grippo增广拉格朗日函数的进一步研究
引用本文:杜学武,梁玉梅,张连生.对非线性规划的一类Di Pillo-Grippo增广拉格朗日函数的进一步研究[J].上海大学学报(英文版),2006,10(4):293-298.
作者姓名:杜学武  梁玉梅  张连生
作者单位:Department of Mathematics College of Sciences Shanghai University Shanghai 200444 P.R. China,Department of Mathematics Dalian University of Technology Dalian 116023 P.R. China,Department of Mathematics,College of Sciences Shanghai University Shanghai 200444 P.R. China,Department of Mathematics,College of Sciences Shanghai University Shanghai 200444 P.R. China
摘    要:1 Introduction Duringthe past several decades ,considerable atten-tion has been given to devising methods for solvingconstrained opti mization problemsviaunconstrainedmini mization techniques and a number of researchwork in the area of nonlinear programmi…

关 键 词:非线性规划  约束最优化  扩展拉格朗日法  DGALs
文章编号:1007-6417(2006)04-0293-06
收稿时间:2004-11-17

Further study on a class of augmented Lagrangians of Di Pillo and Grippo in nonlinear programming
Xue-wu Du Ph. D. Candidate,Yu-mei Liang,Lian-sheng Zhang.Further study on a class of augmented Lagrangians of Di Pillo and Grippo in nonlinear programming[J].Journal of Shanghai University(English Edition),2006,10(4):293-298.
Authors:Xue-wu Du Ph D Candidate  Yu-mei Liang  Lian-sheng Zhang
Abstract:In this paper, a class of augmented Lagrangians of Di Pillo and Grippo (DGALs) was considered, for solving equality-constrained problems via unconstrained minimization techniques. The relationship was further discussed between the unconstrained minimizers of DGALs on the product space of problem variables and multipliers, and the solutions of the constrained problem and the corresponding values of the Lagrange multipliers. The resulting properties indicate more precisely that this class of DGALs is exact multiplier penalty functions. Therefore, a solution of the equality-constrained problem and the corresponding values of the Lagrange multipliers can be found by performing a single unconstrained minimization of a DGAL on the product space of problem variables and multipliers.
Keywords:nonlinear programming  constrained optimization  augmented Lagrangians  augmented Lagrangians of Di Pillo and Grippo
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