1. A Shamanskii-like self-adaptive Levenberg–Marquardt method for nonlinear equations.
- Author
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Huang, Baohua and Ma, Changfeng
- Subjects
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ALGORITHMS , *MARQUARDT algorithm , *NONLINEAR equations , *EQUATIONS , *ALGEBRA - Abstract
Abstract In this paper, we are concerned with the Shamanskii-like self-adaptive Levenberg–Marquardt methods for nonlinear equations. We consider two choices of Levenberg–Marquardt parameter. One of them is the standard self-adaptive Levenberg–Marquardt parameter, the other is nonmonotone self-adaptive Levenberg–Marquardt parameter by using the nonmonotone technique of Grippo, Lampariello and Lucidi. Under the error bound condition which is weaker than nonsingularity, we show that the Shamanskii-like self-adaptive Levenberg–Marquardt methods converge with Q -order (m + 1). Numerical experiments show the new algorithms are efficient and promising. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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