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Approximate Gauss–Newton methods for solving underdetermined nonlinear least squares problems.

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First Author : Bao, Ji-Feng

Date of Publication : 2017-01-01

Journal : Appl. Numer. Math.

Affiliation of Author(s) : 数理与信息工程学院

Document Type : 期刊

Volume : Vol.111

Page Number : 92-110

ISSN : 0168-9274

Key Words : Nonlinear least squares problems;Approximate Gauss-Newton methods;Lipschitz condition

Abstract : We propose several approximate Gauss-Newton methods, i.e., the truncated, perturbed, and truncated-perturbed GN methods, for solving underdetermined nonlinear least squares problems. Under the assumption that the Frechet derivatives are Lipschitz continuo

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