The Levenberg–Marquardt method: an overview of modern convergence theories and more

Авторы: Fischer Andreas, Izmailov Alexey F., Solodov Mikhail V.
Журнал: Computational Optimization and Applications
Том: 89
Номер: 1
Год издания: 2024
Издательство: Springer Nature
Местоположение издательства: Switzerland
Первая страница: 33
Последняя страница: 67
DOI: 10.1007/s10589-024-00589-1
Аннотация: The Levenberg–Marquardt method is a fundamental regularization technique for the Newton method applied to nonlinear equations, possibly constrained, and possibly with singular or even nonisolated solutions. We review the literature on the subject, in particular relating to each other various convergence frameworks and results. In this process, the analysis is performed from a unified perspective, and some new results are obtained as well. We discuss smooth and piecewise smooth equations, inexact solution of subproblems, and globalization techniques. Attention is also paid to the LP-Newton method, because of its relations to the Levenberg–Marquardt method.
Добавил в систему: Измаилов Алексей Феридович

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