亚洲免费av电影一区二区三区,日韩爱爱视频,51精品视频一区二区三区,91视频爱爱,日韩欧美在线播放视频,中文字幕少妇AV,亚洲电影中文字幕,久久久久亚洲av成人网址,久久综合视频网站,国产在线不卡免费播放

        ?

        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(yáng)芮紹平
        關(guān)鍵詞:方程組

        韓揚(yáng) 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(shí)驗(yàn)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(xiàn)標(biāo)志碼:A

        從表1中的數(shù)值實(shí)驗(yàn)結(jié)果可以看出,ALLM算法相對穩(wěn)定,對于大部分測試的實(shí)驗(yàn)結(jié)果,ALLM算法的計(jì)算時間小于AELM算法的計(jì)算時間,并且當(dāng)選取的初始點(diǎn)遠(yuǎn)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(jì)算量和計(jì)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(shí)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(shí)驗(yàn)結(jié)果表明,ALLM算法穩(wěn)定有效。然而雅可比矩陣的計(jì)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(jì)算量和提升收斂速度是今后有待解決的問題。

        參考文獻(xiàn)

        [1]LEONOV E A,POLBIN A V. Numerical search for a global solution in a two-mode economy model with an exhaustible resource of hydrocarbons[J]. Mathematical Models an Computer Simulations,2022,14(2): 213-223.

        [2]NOROUZI N,F(xiàn)ANI M,TALEBI S. Green tax as a path to greener economy: A game theory approach on energy and final goods in Iran[J]. Renewable and Sustainable Energy Reviews,2022,156:111968.

        [3]VU D T S,BEN GHARBIA I,HADDOU M,et al. A new approach for solving nonlinear algebraic systems with complementarity conditions. Application to compositional multiphase equilibrium problems[J]. Mathematics and Computers in Simulation,2021,190:1243-1274.

        [4]LUO X L,XIAO H,L J H. Continuation Newton methods with the residual trust-region time-stepping scheme for nonlinear equations[J]. Numerical Algorithms,2022,89(1):223-247.

        [5]WAZIRI M Y,AHMED K. Two descent Dai-Yuan conjugate gradient methods for systems of monotone nonlinear equations[J]. Journal of Scientific Computing,2022,90(1):36.

        [6]PES F,RODRIGUEZ G. A doubly relaxed minimal-norm Gauss-Newton method for underdetermined nonlinear least-squares problems[J]. Applied Numerical Mathematics,2022,171:233-248.

        [7]LEVENBERG K. A method for the solution of certain non-linear problems in least squares[J]. Quarterly of Applied Mathematics,1944,2(2):164-168.

        [8]MARQUARDT D W. An algorithm for least-squares estimation of nonlinear parameters[J] Journal of the Society for Industrial and Applied Mathematics,1963,11(2):431-441.

        [9]YAMASHITA N,F(xiàn)UKUSHIMA M. On the rate of convergence of the Levenberg-Marquardt method[J]. Computing,2001,15:239-249.

        [10] FAN J Y,YUAN Y X. On the convergence of a new Levenberg-Marquardt method\[DB/OL\]. \[2022-09-09\]. https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=dc7c189e9fdec273b26f3abcc292ee81d237c301.

        [11] FISCHER A. Local behavior of an iterative framework for generalized equations with nonisolated solutions[J]. Mathematical Programming,2002,94(1):91-124.

        [12] MA C F,JIANG L H. Some research on Levenberg-Marquardt method for the nonlinear equations[J]. Applied Mathematics and Computation,2007,184(2):1032-1040.

        [13] FAN J Y. A modified Levenberg-Marquardt algorithm for singular system of nonlinear equations[J]. Journal of Computational Mathematics,2003,21(5):625-636.

        [14] AMINI K,ROSTAMI F,CARISYI G. An efficient Levenberg-Marquardt method with a new LM parameter for systems of nonlinear equations[J]. Optimization,2018,67(5): 637-650.

        [15] AHOOKHOSH M,AMINI K. A nonmonotone trust region method with adaptive radius for unconstrained optimization problems[J]. Computers & Mathematics with Applications,2010,60(3): 411-422.

        [16] AHOOKHOSH M,AMINI K. An efficient nonmonotone trust-region method for unconstrained optimization[J]. Numerical Algorithms,2012,59(4):523-540.

        [17] WANG P,ZHU D T. A derivative-free affine scaling trust region methods based on probabilistic models with new nonmonotone line search technique for linear inequality constrained minimization without strict complementarity[J]. International Journal of Computer Mathematics,2019,96(4):663-691.

        [18] STEWART G W,SUN J G. Matrix perturbation theory[M]. Boston:Academic Press,1990.

        [19] MORE J J,GARBOW B S,HILLSTROM K E. Testing unconstrained optimization software[J]. ACM Transactions on Mathematical Software (TOMS),1981,7(1):17-41.

        [20] SCHNABEL R B,F(xiàn)RANK P D. Tensor methods for nonlinear equations[J]. SIAM Journal on Numerical Analysis,1984,21(5):815-843.

        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(xiàng)目:安徽省高等學(xué)校自然科學(xué)研究項(xiàng)目(批準(zhǔn)號:KJ2020A0024)資助;淮北師范大學(xué)實(shí)驗(yàn)室開放項(xiàng)目(批準(zhǔn)號:2022sykf016)資助。

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

        猜你喜歡
        方程組
        攻克“二元一次方程組”易錯點(diǎn)
        “二元一次方程組”基礎(chǔ)鞏固
        深入學(xué)習(xí)“二元一次方程組”
        《二元一次方程組》鞏固練習(xí)
        “二元一次方程組”學(xué)習(xí)指導(dǎo)
        《二元一次方程組》鞏固練習(xí)
        一類次臨界Bose-Einstein凝聚型方程組的漸近收斂行為和相位分離
        巧用方程組 妙解拼圖題
        構(gòu)造方程組巧解拼圖題
        一起學(xué)習(xí)二元一次方程組
        极品少妇一区二区三区四区视频| 亚洲日韩乱码中文无码蜜桃臀| 999精品免费视频观看| 一区二区三区视频免费观看在线| 91九色免费视频网站| 日韩吃奶摸下aa片免费观看| 亚洲欧美日韩专区一| 91精品国产乱码久久久| 国产熟女盗摄一区二区警花91| 中国女人内谢69xxxx免费视频| 久青草国产视频| 国产精品一区二区三区蜜臀| 亚洲色图三级在线观看| 久久久精品国产sm调教网站 | 国产成人av免费观看| 青春草在线视频精品| 日韩人妖干女同二区三区| 日日日日做夜夜夜夜做无码| 吃奶还摸下面动态图gif| 97无码人妻一区二区三区蜜臀 | 国外精品视频在线观看免费 | 天堂av一区二区在线| 日本强伦姧人妻一区二区| 四川老熟妇乱子xx性bbw| 国产小屁孩cao大人免费视频| 久久黄色精品内射胖女人| 丰满人妻无套内射视频| 国产高清一区二区三区四区色| 亚洲av天天做在线观看| 国产在线一区二区三区av| 中文字幕日本av网站| 国产人妻熟女高跟丝袜图片| 亚洲一区二区三区在线网站| 亚洲精品中文字幕乱码人妻| 色偷偷激情日本亚洲一区二区| 又粗又硬又黄又爽的免费视频| 91久久国产综合精品| 国产丝袜美腿在线播放| 久久香蕉国产线熟妇人妻| 五月丁香六月综合激情在线观看| 精品亚洲一区二区在线观看|