Some iterative regularized methods for highly nonlinear least squares problems

This report treats numerical methods for highly nonlinear least squares problems for which procedural and rounding errors are unavoidable, e.g. those arising in the development of various nonlinear system identification techniques based on input‐output representation of the model such as training o...

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Bibliographic Details
Main Authors: Inga Kangro, Otu Vaarmann
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2009-06-01
Series:Mathematical Modelling and Analysis
Subjects:
Online Access:https://journals.vgtu.lt/index.php/MMA/article/view/6536