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J. Y. Han and G. H. Liu, “Global Convergence Analysis of a New Nonmonotone BFGS Algorithm on Convex Objective Functions,” Computational Optimization and Applications, Vol. 7, No. 3, 1997, pp. 277-289.

has been cited by the following article:

• TITLE: A Modified Limited SQP Method For Constrained Optimization

  AUTHORS: Gonglin Yuan, Sha Lu, Zhengxin Wei

  KEYWORDS: Constrained Optimization, Limited Method, SQP Method, Global Convergence

  JOURNAL NAME: Applied Mathematics, Vol.1 No.1, June 2, 2010

  ABSTRACT: In this paper, a modified variation of the Limited SQP method is presented for constrained optimization. This method possesses not only the information of gradient but also the information of function value. Moreover, the proposed method requires no more function or derivative evaluations and hardly more storage or arithmetic operations. Under suitable conditions, the global convergence is established.