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.