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A NEW SECANT METHOD FOR NONLINEAR LEAST SQUARES PROBLEMS
作者姓名:盛松柏  邹志鸿
作者单位:Department of Mathematics,Nanjing University,Nanjing 210008,PRC.,Zou Zhi-hong Department of Mathematics,Nanjing University,Nanjing 210008,PRC.
摘    要:This paper is concerned with the solution of the nonlinear least squares problems. A new secant method is suggested in this paper, which is based on an affine model of the objective function and updates the first-order approximation each step when the iterations proceed. We present an algorithm which combines the new secant method with Gauss-Newton method for general nonlinear least squares problems. Furthermore, we prove that this algorithm is Q-superlinearly convergent for large residual problems under mild conditions.


A NEW SECANT METHOD FOR NONLINEAR LEAST SQUARES PROBLEMS
Shcng Song-bai.A NEW SECANT METHOD FOR NONLINEAR LEAST SQUARES PROBLEMS[J].Numerical Mathematics A Journal of Chinese Universities English Series,1993(2).
Authors:Shcng Song-bai
Institution:Shcng Song-bai Department of Mathematics,Nanjing University,Nanjing 210008,PRC. Zou Zhi-hong Department of Mathematics,Nanjing University,Nanjing 210008,PRC.
Abstract:This paper is concerned with the solution of the nonlinear least squares problems. A new secant method is suggested in this paper, which is based on an affine model of the objective function and updates the first-order approximation each step when the iterations proceed. We present an algorithm which combines the new secant method with Gauss-Newton method for general nonlinear least squares problems. Furthermore, we prove that this algorithm is Q-superlinearly convergent for large residual problems under mild conditions.
Keywords:Secant melhod  affine model  Gauss-Newton melhod  nonlinear least squares  
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