An Improved Tikhonov-Regularized Variable Projection Algorithm for Separable Nonlinear Least Squares
In this work, we investigate the ill-conditioned problem of a separable, nonlinear least squares model by using the variable projection method. Based on the truncated singular value decomposition method and the Tikhonov regularization method, we propose an improved Tikhonov regularization method, wh...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
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Series: | Axioms |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-1680/10/3/196 |