Gauss-Newton-Secant Method for Solving Nonlinear Least Squares Problems under Generalized Lipschitz Conditions

Autor: Argyros, I.K., Shakhno, S., Iakymchuk, R., Yarmola, H., Argyros, M.I.
Přispěvatelé: Publica
Jazyk: angličtina
Rok vydání: 2021
Popis: We develop a local convergence of an iterative method for solving nonlinear least squares problems with operator decomposition under the classical and generalized Lipschitz conditions. We consider the case of both zero and nonzero residuals and determine their convergence orders. We use two types of Lipschitz conditions (center and restricted region conditions) to study the convergence of the method. Moreover, we obtain a larger radius of convergence and tighter error estimates than in previous works. Hence, we extend the applicability of this method under the same computational effort.
Databáze: OpenAIRE