A Modified Levenberg-Marquardt Algorithm for Singular System of Nonlinear Equations
Keywords:
Singular nonlinear equations, Levenberg-Marquardt method, Trust region algorithm, Quadratic convergence.Abstract
Based on the work of paper [1], we propose a modified Levenberg-Marquardt algorithm for solving singular system of nonlinear equations $F(x)=0$, where $F(x):R^n\rightarrow R^n$ is continuously differentiable and $F'(x)$ is Lipschitz continuous. The algorithm is equivalent to a trust region algorithm in some sense , and the global convergence result is given. The sequence generated by the algorithm converges to the solution quadratically, if $\|F(x)\|_2$provides a local error bound for the system of nonlinear equations. Numerical results show that the algorithm performs well.
Published
2021-08-05
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A Modified Levenberg-Marquardt Algorithm for Singular System of Nonlinear Equations. (2021). Journal of Computational Mathematics, 21(5), 625-636. https://www.global-sci.com/index.php/JCM/article/view/11587