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Research Article

A new truncated-perturbed Gauss–Newton method for underdetermined nonlinear least squares problems

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Received 23 Oct 2023, Accepted 22 May 2024, Published online: 15 Jun 2024
 

Abstract

In this paper, we study the solvability of a truncated-perturbed Gauss–Newton method for solving underdetermined nonlinear least squares problems. Our aim is to address a new analysis of a semilocal convergence to the aforementioned method. In particular, the main theorem is established under a kind of Hölder-relaxed condition, and two special cases of this are obtained. Furthermore, the computational behavior of the considered method is illustrated with some numerical tests.

2020 Mathematics Subject Classifications:

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The third author was supported in part by CNPq [grant number 401864/2022-7] and [grant number 306593/2022-0].

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