A Krylov Subspace Method for Large-Scale Second-Order Cone Linear Complementarity Problem

A Krylov Subspace Method for Large-Scale Second-Order Cone Linear Complementarity Problem
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大规模二阶锥线性互补问题的krylov子空间方法

DOI:
10.1137/140995064
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发表时间:
2015-08
影响因子:
3.1
通讯作者:
Li Ren-Cang
Li Ren-Cang
中科院分区:
数学2区
文献类型:
--
作者:
Zhang Lei-Hong;Yang Wei Hong;Shen Chungen;Li Ren-Cang

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本文首先证明了二阶锥线性互补问题(SOCLCP)可以通过寻找特定有理函数的正零来解决,然后在模型约简中提出了一种Krylov子空间法来约简。零点可以用的零点精确地逼近,而零点本身可以转化为一个小特征值问题。新方法通过对曲线的完整表征而成为可能,并且与[l - h]最近提出的对分-牛顿(\sf BN)迭代相比具有几个优点。张和杨文华,数学。Comp., 83 (2013), pp. 1701—1720],并被证明对中小型问题非常有效。该方法经过测试,并与\sf BN迭代和其他两个最先进的封装:\sf SDPT3和\sf SeDuMi进行了比较。数值结果表明,该方法对于中小密度问题和大规模问题都是非常有效的。
In this paper, we first show that the second-order cone linear complementarity problem (SOCLCP) can be solved by finding a positive zeroof a particular rational function, and we then propose a Krylov subspace method to reducetoas in the model reduction. The zeroofcan be accurately approximated by that of, which itself can be cast as a small eigenvalue problem. The new method is made possible by a complete characterization of the curve of, and it has several advantages over the bisection-Newton (\sf BN) iteration recently proposed by [L.-H. Zhang and W. H. Yang,Math. Comp., 83 (2013), pp. 1701--1720] and shown to be very efficient for small- to medium-size problems. The method is tested and compared against the \sf BN iteration and two other state-of-the-art packages: \sf SDPT3 and \sf SeDuMi. Our numerical results show that the method is very efficient for both small to medium dense problems and large-scale ones.
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