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J. K. Liu, X. L. Du and K. R. Wang, “Convergence of Descent Methods with Variable Parameters,” Acta Mathematicae Applicatae Sinica, Vol. 33, No. 2, 2010, pp. 222-232.

has been cited by the following article:

• TITLE: Modified LS Method for Unconstrained Optimization

  AUTHORS: Jinkui Liu, Li Zheng

  KEYWORDS: Unconstrained Optimization, Conjugate Gradient Method, Grippo-Lucidi Line Search, Global Convergence

  JOURNAL NAME: Applied Mathematics, Vol.2 No.6, June 22, 2011

  ABSTRACT: In this paper, a new conjugate gradient formula and its algorithm for solving unconstrained optimization problems are proposed. The given formula satisfies with satisfying the descent condition. Under the Grippo-Lucidi line search, the global convergence property of the given method is discussed. The numerical results show that the new method is efficient for the given test problems.