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G. Yuan and Z. Wei, “New Line Search Methods for Unconstrained Optimization,” Journal of the Korean Statistical Society, Vol. 38, No. 1, 2009, pp. 29-39. doi: 10.1016/j.jkss.2008.05.004

has been cited by the following article:

• TITLE: A Gauss-Newton-Based Broyden’s Class Algorithm for Parameters of Regression Analysis

  AUTHORS: Xiangrong Li, Xupei Zhao

  KEYWORDS: Global Convergence, Broyden’s Class, Regression Analysis, Nonlinear Equations, Gauss-Newton

  JOURNAL NAME: Applied Mathematics, Vol.2 No.1, January 30, 2011

  ABSTRACT: In this paper, a Gauss-Newton-based Broyden’s class method for parameters of regression problems is presented. The global convergence of this given method will be established under suitable conditions. Numerical results show that the proposed method is interesting.