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一種求解非線性方程組的修正Levenberg-Marquardt算法

2023-06-23 17:28:50韓揚芮紹平
關(guān)鍵詞:方程組

韓揚 芮紹平

摘要:通過修改Levenberg-Marquardt (LM)參數(shù),結(jié)合信賴域方法給出一種新的求解方程組的LM算法。在局部誤差界條件下,證明了該算法具有局部快速收斂性。數(shù)值實驗結(jié)果表明,此算法穩(wěn)定、有效。

關(guān)鍵詞:Levenberg-Marquardt算法;方程組;LM參數(shù);局部快速收斂性

中圖分類號:O221.1 文獻標志碼:A

從表1中的數(shù)值實驗結(jié)果可以看出,ALLM算法相對穩(wěn)定,對于大部分測試的實驗結(jié)果,ALLM算法的計算時間小于AELM算法的計算時間,并且當選取的初始點遠離解集時,算例3在參數(shù)θ=05及δ=2、算例5在參數(shù)θ=05及δ=15,2和算例9在參數(shù)θ=05及δ=1,15,2時,ALLM算法的計算量和計算時間均小于AELM算法。

4 結(jié)論

本文結(jié)合信賴域方法提出了一種求解非線性方程組的修正的LM算法(ALLM算法),在不必假設(shè)雅可比矩陣非奇異的局部誤差界條件下,證明了該算法具有局部快速收斂性??筛鶕?jù)實際應(yīng)用的需要,通過改變θ和δ值以優(yōu)化λk的選取,數(shù)值實驗結(jié)果表明,ALLM算法穩(wěn)定有效。然而雅可比矩陣的計算量和收斂速度還需繼續(xù)改善,如何節(jié)約雅可比矩陣的計算量和提升收斂速度是今后有待解決的問題。

參考文獻

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Modified Levenberg-Marquardt Algorithm for Solving Systems of Nonlinear Equations

HAN Yang,RUI Shao-ping

(School of Mathematical Sciences, Huaibei Normal University, Huaibei 235000, China)

Abstract: A new modified Levenberg-Marquardt (LM) algorithm for solving systems of equations was presented by modifying Levenberg-Marquardt (LM) parameters and combining trust region method. Under the local error bound condition, it was proved that the algorithm has local fast convergence. Numerical results show that this algorithm is stable and effective.

Keywords: Levenberg-Marquardt algorithm; systems of equations; LM parameter; local fast convergence

收稿日期:2022-09-24

基金項目:安徽省高等學校自然科學研究項目(批準號:KJ2020A0024)資助;淮北師范大學實驗室開放項目(批準號:2022sykf016)資助。

通信作者:芮紹平,男,博士,教授,主要研究方向為最優(yōu)化理論與算法。E-mail:rsp9999@163.com

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