首页> 外文会议>The Fifth China-Japan Joint Seminar on Numerical Mathematics Aug 21-25, 2002 Shanghai, China >Generalized conjugate residual method for solving large and dense linear systems in Semidefinite programming
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Generalized conjugate residual method for solving large and dense linear systems in Semidefinite programming

机译:半定规划中求解大型稠密线性系统的广义共轭残差法

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摘要

It is a great concern in the field of Semidefinite Programming to solve the large and dense linear systems which arise from the interior-point method. Often direct methods are too expensive in terms of computer memory and CPU-time requirements, then the only alternative is to use iterative methods. Here, we apply the generalized conjugate residual method to this type of SDP's linear systems. The theoretical properties and practical performance of the method will be discussed.
机译:在半定规划领域中,解决由内点法产生的大型且密集的线性系统是一个非常关注的问题。就计算机内存和CPU时间要求而言,直接方法通常过于昂贵,因此,唯一的选择是使用迭代方法。在这里,我们将广义共轭残差法应用于这种类型的SDP线性系统。将讨论该方法的理论特性和实际性能。

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