删除或更新信息,请邮件至freekaoyan#163.com(#换成@)

求解线性互补问题的Levenberg-Marquardt型算法

本站小编 Free考研考试/2021-12-27

求解线性互补问题的Levenberg-Marquardt型算法 刘志敏, 杜守强, 王瑞莹青岛大学数学与统计学院, 青岛 266071 Levenberg-Marquardt Type Method for Solving Linear Complementarity Problems LIU Zhimin, Du Shouqiang, Wang RuiyingSchool of Mathematics and Statistics, Qingdao University, Qingdao 266071
摘要
图/表
参考文献
相关文章(15)
点击分布统计
下载分布统计
-->

全文: PDF(365 KB) HTML (0 KB)
输出: BibTeX | EndNote (RIS)
摘要本文考虑了线性互补问题的求解算法,利用一类新的广义互补函数,把线性互补问题转化为非线性方程问题,并且利用Levenberg-Marquardt型算法对转化的问题进行了求解.在一般的假设条件下,给出了所给算法的收敛性分析.最后相关的数值结果表明所给的算法十分有效.
服务
加入引用管理器
E-mail Alert
RSS
收稿日期: 2017-04-10
PACS:O212.2
基金资助:国家自然科学基金(11671220)和山东省自然科学基金(ZR2016AM29).

引用本文:
刘志敏, 杜守强, 王瑞莹. 求解线性互补问题的Levenberg-Marquardt型算法[J]. 应用数学学报, 2018, 41(3): 403-419. LIU Zhimin, Du Shouqiang, Wang Ruiying. Levenberg-Marquardt Type Method for Solving Linear Complementarity Problems. Acta Mathematicae Applicatae Sinica, 2018, 41(3): 403-419.
链接本文:
http://123.57.41.99/jweb_yysxxb/CN/ http://123.57.41.99/jweb_yysxxb/CN/Y2018/V41/I3/403


[1] Cottle R W, Pang J S, Stone R E. The Liner Complementarity Problem. New York:Academic, 1992
[2] Zhang L P, Gao Z Y. Global linear and quadratic one-step smoothing Newton method for vertical linear complementarity problems. Applied Mathematics and Mechanics, 2003, 24(6):738-746
[3] Huang Z H, Gu W Z. A smoothing-type algorithm for solving linear complementarity problems with strong convergence properties. Applied Mathematics and Optimization, 2008, 57(1):17-29
[4] Kanzow C. Some noninterior continuation methods for linear complementarity problems. SIAM Journal on Matrix Analysis and Applications, 1996, 17(4):851-868
[5] Burke J V, Xu S. The global linear convergence of a non-interior path-following algorithm for linear complementarity problems. Mathematics of Operations Research, 1998, 23(3):719-734
[6] Fathi Y. Computational complexity of LCPs associated with positive definite matrices. Mathematical Programming, 1979, 17(1):335-344
[7] Wright S. A path-following infeasible-interior-point algorithm for linear complementarity problems. Mathematical Programming, 2007, 2(2):79-106
[8] Balaji R, Palpandi K. On the Lipschitz continuity of the solution map in linear complementarity problems over second-order cone. Linear Algebra and its Applications, 2016, 510(2):146-159
[9] Wu S L, Li C X. Two-sweep modulus-based matrix splitting iteration methods for linear complementarity problems. Journal of Computational and Applied Mathematics, 2016, 302:327-339
[10] Yang W H, Zhang L H, Shen C. Solution analysis for the pseudomonotone second-order cone linear complementarity problem. Optimization:A Journal of Mathematical Programming and Operations Research, 2016, 65:1703-1715
[11] Li C, Li Y. Weakly chained diagonally dominant B-matrices and error bounds for linear complementarity problems. Numerical Algorithms, 2016, 73(4):985-998
[12] Dai P F, Li J C, Li Y T, Bai J C. A general preconditioner for linear complementarity problem with an M-matrix. Journal of Computational and Applied Mathematics, 2017, 317:100-112
[13] Wang S, Zhang K. An interior penalty method for a finite-dimensional linear complementarity problem in financial engineering. Optimization Letters, 2018, in press
[14] Adelgren N, Wiecek M M. A two-phase algorithm for the multiparametric linear complementarity problem. European Journal of Operational Research, 2016, 254(3):715-738
[15] Narushima Y, Sagara N, Ogasawara H. A smoothing Newton method with Fischer-Burmeister function for second-order cone complementarity problems. Journal of Optimization Theory and Applications, 2011, 149(1):79-101
[16] Kanzow C, Petra S. On a semismooth least squares formulation of complementarity problems with gap reduction. Optimization Methods and Software, 2004, 19(5):507-525
[17] Chen J S. On some NCP-functions based on the generalized Fischer-Burmeister function. Asia-Pacific Journal of Operational Research, 2007, 24(3):401-420
[18] Chen J S, Pan S H. A family of NCP functions and a descent method for the nonlinear complementarity problem. Computational Optimization and Applications, 2008, 40(3):389-404
[19] Fischer A. A special Newton-type optimization method. Optimization, 1992, 24:269-284
[20] Qi L Q, Sun J. A nonsmooth version of Newton method. Mathematical Programming, 1993, 58:353-367
[21] Zhang J L, Wang Y. An new trust region method for nonlinear equations. Mathematical Methods of Operations Research, 2003, 58(2):283-298
[22] Klatte D, Kummer B. Nonsmooth Equations in Optimization. Berlin:Springer, 2002
[23] Qi L Y, Xiao X T, Zhang L W. A parameter-self-adjusting Levenberg-Marquardt method for solving nonsmooth equations. Computational Mathematics (English Edition), 2016(3):317-338
[24] Huang S, Wan Z. A new nonmonotone spectral residual method for nonsmooth nonlinear equations. Journal of Computational and Applied Mathematics, 2016, 313:82-101
[25] Zhao R X, Fan J Y. Global complexity bound of the Levenberg-Marquardt method. Optimization Methods and Software, 2016, 31(4):805-814
[26] Chen L. A modified Levenberg Marquardt method with line search for nonlinear equations. Computational Optimization and Applications, 2016, 65(3):1-27
[27] Chen X J. Smoothing methods for nonsmooth, nonconvex minimization. Mathematical Programming, 2012, 134(1):71-99
[28] Zhang L J, Kong L C, Li Y, Zhou S L. A smoothing iterative method for quantile regression with nonconvex l p penalty. Journal of Industrial and Management Optimization, 2017, 13(1):93-112
[29] Chi X N, Wan Z P, Zhu Z B. The jacobian consistency of a smoothed generalized Fischer-Burmeister function for the second-order cone complementarity problem. Pacific Journal of Optimization, 2015, 11(1):3-27
[30] Facchinei F, Kanzow C. A nonsmooth inexact Newton method for the solution of large-scale nonlinear complementarity problems. Mathematical Programming, 1997, 76(3):493-512
[31] Kanzow C, Petra S. Projected filter trust region method for a semi-smooth least squares formulation of mixed complementarity problems. Optimization Methods and Software, 2007, 22:713-735
[32] Kanzow C. Global convergence properties of some iterative methods for linear complementarity problems. Optimization, 2006, 6(2):326-341
[33] Xu S. The global linear convergence of an infeasible noninterior path-following algorithm for complementarity problems with uniform P-functions. Mathematical Programming, 2000, 87(3):501-517
[34] Geiger C, Kanzow C. On the resolution of monotone complementarity problems. Computational Optimization and Applications, 1996, 5(2):155-173

[1]刘金魁, 张春涛. 三项修正LS共轭梯度方法及其收敛性研究[J]. 应用数学学报, 2017, 40(6): 862-873.
[2]江羡珍, 简金宝. 一个自调节Polak-Ribière-Polyak型共轭梯度法[J]. 应用数学学报, 2017, 40(3): 449-460.
[3]董晓亮, 何郁波. 一类满足充分下降条件和自适应共轭性的修正THREECG方法[J]. 应用数学学报, 2016, 39(1): 58-70.
[4]刘美杏, 唐春明, 简金宝. 不等式约束优化基于新型积极识别集的SQCQP算法[J]. 应用数学学报, 2015, 38(2): 222-234.
[5]马国栋, 简金宝, 江羡珍. 一个具有下降性的改进Fletcher-Reeves共轭梯度法[J]. 应用数学学报, 2015, 38(1): 89-97.
[6]孙中波, 段复建, 许春玲, 田彦涛. 不等式约束优化超线性收敛的信赖域-SQP算法[J]. 应用数学学报(英文版), 2014, 37(5): 878-890.
[7]邱松强, 陈中文. 一个无惩罚型原始对偶内点算法及其收敛性分析[J]. 应用数学学报(英文版), 2014, 37(3): 423-436.
[8]李向利, 周莎. 一类随机线性互补问题的投影BB算法[J]. 应用数学学报(英文版), 2014, 37(2): 278-285.
[9]朱志斌, 王硕, 简金宝. 非线性优化一个超线性收敛的广义投影型可行方向法[J]. 应用数学学报(英文版), 2014, 37(1): 179-192.
[10]刘金魁. 广义Wolfe线搜索下一类修正的Fletcher-Reeves方法的收敛性[J]. 应用数学学报(英文版), 2013, 36(6): 1109-1117.
[11]王永丽, 韩丛英, 李田, 李明强. 求解不等式约束优化问题无严格互补松弛条件的one QP-Free新算法[J]. 应用数学学报(英文版), 2013, (1): 1-13.
[12]李向利, 刘红卫. 求解互补问题的一族非单调光滑牛顿法[J]. 应用数学学报(英文版), 2013, (1): 38-51.
[13]张家昕, 段复建. 非线性互补约束均衡问题的一个滤子{SQP}算法[J]. 应用数学学报(英文版), 2012, (1): 49-58.
[14]唐春明, 简金宝. 基于次梯度选取的非光滑优化强次可行方向法[J]. 应用数学学报(英文版), 2011, 34(5): 924-937.
[15]闫晖, 陈兰平. 一个新的具有充分下降性的混合共轭梯度算法[J]. 应用数学学报(英文版), 2011, 34(4): 634-643.



PDF全文下载地址:

http://123.57.41.99/jweb_yysxxb/CN/article/downloadArticleFile.do?attachType=PDF&id=14487
相关话题/应用数学 优化 统计 学报 统计学院