期刊文献+

求解随机二阶锥线性互补问题的期望残差最小化方法

ERM method for stochastic linear complementarity problem solution of the second-order cone
下载PDF
导出
摘要 引入期望残差最小化(ERM)方法来求解随机二阶锥线性互补问题.在非负象限内,利用ERM方法求解随机线性互补问题是可行的,为此将非负象限内的随机线性互补问题延伸到二阶锥内.首先,介绍了二阶锥矢量相关的若尔当积及谱分解等预备知识.然后,通过二阶锥互补函数FB函数将随机二阶锥线性互补问题转化为极小化问题.以预备知识为基础证明了若尔当积下的x2与x 2的关系,并进一步证明了离散型目标函数解的存在性与收敛性.最后,证明利用ERM方法解随机二阶锥互补问题是可行的. Expected residual minimization (ERM)method is introduced to solve the stochastic linear complementarity problem of the second-order cone.It has been testified that it is feasible to use ERM method to solve stochastic linear complementarity problem in non-negative quadrant.This method will be extended to the second-order cones.To begin with,some basic knowledge and properties of Jordan algebra and the spectral factorization of vectors associated with the second-order cone are presented. Then,through the second-order cone complementarity function,that is FB function,the stochastic linear complementarity problem of the second-order cone is transformed to be a minimizing problem. The relationship between x 2 and x 2 under the Jordan algebra based on the basic knowledge is proved.Furthermore,the existence and convergence of the solution set of discrete objective function are proved. Finally, a conclusion is drawn that it is feasible to solve the stochastic linear complementarity problem of the second-order cone by using ERM method.
出处 《大连理工大学学报》 EI CAS CSCD 北大核心 2015年第4期431-435,共5页 Journal of Dalian University of Technology
基金 国家自然科学基金资助项目(91330206)
关键词 随机二阶锥线性互补问题 期望残差最小化(ERM)方法 若尔当积 谱分解 stochastic linear complementarity problem of the second-order cone expected residual minimization (ERM)method Jordan algebra spectral factorization
  • 相关文献

参考文献10

  • 1Alizadeh F,Goldfarb D.Second-order coneprogramming[J].Mathematical Programming,2003,95(1):3-51.
  • 2Andersen E D,Roos C,Terlaky T.Onimplementinga primal-dualinterior-point methodforconicquadraticoptimization[J].MathematicalProgramming,2003,95(2):249-277.
  • 3Chen X D,Sun D,Sun J.Complementarityfunctions and numerical experiments on somesmoothing Newton methodsforsecond-order-conecomplementarity problems[J].ComputationalOptimizationandApplications,2003,25(1-3):39-56.
  • 4Fukushima M,Luo Z Q,Tseng P.Smoothingfunctions for second-order-cone complementarityproblems[J].SIAM Journal on Optimization,2002,12(2):436-460.
  • 5Hayashi S,Yamashita N,Fukushima M.Acombinedsmoothingandregularization methodformonotone second-order cone complementarityproblems[J].SIAM Journal on Optimization,2005,15(2):593-615.
  • 6ChenJ S,Tseng P.An unconstrained smoothminimizationreformulationofthesecond-orderconecomplementarity problem[J].MathematicalProgramming,2005,104(2-3):293-327.
  • 7Pan S,ChenJS.A proximalgradientdescentmethodfortheextendedsecond-orderconelinearcomplementarity problem[J].Journal ofMathematical Analysis and Applications,2010,366(1):164-184.
  • 8PanS,ChenJS.AdampedGauss-Newtonmethodforthesecond-orderconecomplementarityproblem[J].Applied MathematicsandOptimization,2009,59(3):293-318.
  • 9Chen X,Fukushima M.Expected residualminimization method for stochastic linearcomplementarity problems[J].Mathematics ofOperationsResearch,2005,30(4):1022-1038.
  • 10YamashitaN,FukushimaM.Anewmeritfunctionand a descent method for semidefinitecomplementarityproblems[M] // Reformulation:Nonsmooth,Piecewise Smooth,Semismooth andSmoothingMethods.NewYork:SpringerUS,1999:405-420.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部