A Levenberg–Marquardt type algorithm with a Broyden-like update technique for solving nonlinear equations

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2025-05-01 Epub Date: 2024-11-28 DOI:10.1016/j.cam.2024.116401
Jingyong Tang , Jinchuan Zhou
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引用次数: 0

Abstract

We propose a variant Broyden-like method for solving nonlinear equations. At each iteration, the proposed method solves a Levenberg–Marquardt type equation in which the matrix is updated by the Broyden-like formula. The global convergence ensured by a nonmonotone derivative-free line search is proved without the nonsingularity condition. Moreover, the proposed method has local quadratic convergence under suitable conditions. Numerical experiments show that our method is more effective than the traditional Broyden-like method.
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求解非线性方程的Levenberg-Marquardt型算法与类broyden更新技术
我们提出了求解非线性方程的一种变体类布洛登方法。在每次迭代中,该方法求解一个Levenberg-Marquardt型方程,其中矩阵由类broyden公式更新。在没有非奇异条件的情况下,证明了非单调无导数直线搜索保证的全局收敛性。在适当的条件下,该方法具有局部二次收敛性。数值实验表明,该方法比传统的类broyden方法更有效。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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