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   PDF    HTML     4,534 Downloads   9,121 Views   Citations

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.

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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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