首页> 外文期刊>SIAM Journal on Scientific Computing >OPTIMIZED MULTIPLICATIVE, ADDITIVE, AND RESTRICTED ADDITIVE SCHWARZ PRECONDITIONING
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OPTIMIZED MULTIPLICATIVE, ADDITIVE, AND RESTRICTED ADDITIVE SCHWARZ PRECONDITIONING

机译:优化的乘法,加法和受限加法SCHWARZ预处理

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摘要

We demonstrate that a small modification of the multiplicative, additive, and restricted additive Schwarz preconditioner at the algebraic level, motivated by optimized Schwarz methods defined at the continuous level, leads to a significant reduction in the iteration count of the iterative solver. Numerical experiments using finite difference and spectral element discretizations of the positive definite Helmholtz problem and an idealized climate simulation illustrate the effectiveness of the new approach.
机译:我们证明,在连续级定义的优化Schwarz方法的推动下,在代数级对乘法,加法和受限加法Schwarz预条件器进行了小幅修改,从而大大减少了迭代求解器的迭代次数。使用正定亥姆霍兹问题的有限差分和频谱元素离散化以及理想化的气候模拟进行的数值实验说明了该方法的有效性。

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