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

Li, Xiangrong and Zhao, Xupei (2011) A Gauss-Newton-Based Broyden’s Class Algorithm for Parameters of Regression Analysis. Applied Mathematics, 02 (01). pp. 39-46. ISSN 2152-7385

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Official URL: https://doi.org/10.4236/am.2011.21005

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.

Item Type:	Article
Subjects:	Apsci Archives > Mathematical Science
Depositing User:	Unnamed user with email support@apsciarchives.com
Date Deposited:	05 Jun 2023 04:38
Last Modified:	09 Jan 2024 05:03
URI:	http://eprints.go2submission.com/id/eprint/1178

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