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The construction of an algebraically reduced system for the acceleration of preconditioned conjugate gradients

机译:代数简化系统的构造,用于加速预处理共轭梯度

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摘要

In this paper we show how an algebraically reduced system can be constructed, for which the preconditioned conjugate gradient method converges faster than for the original system. For this method it is necessary that the original matrix is symmetric positive-definite. Our approach is based on an efficient projection on a well-chosen subspace and we show an application in which a cyclically reduced system is one step further reduced by this novel technique.
机译:在本文中,我们展示了如何构造代数简化系统,对于该系统,预处理共轭梯度法的收敛速度要快于原始系统。对于这种方法,原始矩阵必须是对称的正定的。我们的方法基于在精心选择的子空间上的有效投影,并且我们展示了一种应用,其中通过这种新颖技术将循环简化系统进一步简化了一步。

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