A Gauss-Newton-Based Broyden’s Class Algorithm for Parameters of Regression Analysis - Applied Mathematics

AM > Vol.2 No.1, January 2011

Applied Mathematics

Volume 2, Issue 1 (January 2011)

ISSN Print: 2152-7385 ISSN Online: 2152-7393

Google-based Impact Factor: 0.58 Citations

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

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DOI: 10.4236/am.2011.21005 4,557 Downloads 9,162 Views Citations

Author(s)

Xiangrong Li, Xupei Zhao

Affiliation(s)

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.

KEYWORDS

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

Share and Cite:

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.

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