Separable least squares, variable projection, and the Gauss-Newton algorithm

Electronic Transactions on Numerical Analysis

M. R. Osborne¹ 

关键词: nonlinear least squares;    scoring;    Newton's method;    expected Hessian;    Kaufman's modification;    rate of convergence;    random errors;    law of large numbers;    consistency;    large data sets;    maximum likelihood;   

DOI  :  

学科分类：数学（综合）

来源: Kent State University * Institute of Computational Mathematics

【 授权许可】

Unknown