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Convergence of Relaxed Matrix Parallel Multisplitting Chaotic Methods forH-Matrices

机译:H矩阵的松弛矩阵并行多重分裂混沌方法的收敛性

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Based on the methods presented by Song and Yuan (1994), we construct relaxed matrix parallel multisplitting chaotic generalized USAOR-style methods by introducing more relaxed parameters and analyze the convergence of our methods when coefficient matrices areH-matrices or irreducible diagonally dominant matrices. The parameters can be adjusted suitably so that the convergence property of methods can be substantially improved. Furthermore, we further study some applied convergence results of methods to be convenient for carrying out numerical experiments. Finally, we give some numerical examples, which show that our convergence results are applied and easily carried out.
机译:基于Song和Yuan(1994)提出的方法,我们通过引入更多的松弛参数来构造松弛矩阵并行多分裂混沌广义USAOR样式方法,并分析当系数矩阵是H矩阵或不可约对角占优矩阵时我们方法的收敛性。可以适当地调整参数,从而可以大大改善方法的收敛性。此外,我们进一步研究了一些实用的收敛结果方法,以方便进行数值实验。最后,我们给出了一些数值示例,表明我们的收敛结果得到了应用并且易于执行。

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