A Gauss-Newton-Based Broyden’s Class Algorithm for Parameters of Regression Analysis ()

Xiangrong Li, Xupei Zhao

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**DOI: **10.4236/am.2011.21005
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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.

Keywords

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

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X. Li and X. Zhao, "A Gauss-Newton-Based Broyden’s Class Algorithm for Parameters of Regression Analysis," *Applied Mathematics*, Vol. 2 No. 1, 2011, pp. 39-46. doi: 10.4236/am.2011.21005.

Conflicts of Interest

The authors declare no conflicts of interest.

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