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A parallel block overlap preconditioning with inexact submatrix inversion for linear elasticity problems

机译:具有不精确子矩阵求逆的并行块重叠预处理,可解决线性弹性问题

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摘要

We present a parallel preconditioned iterative solver for large sparse symmetric positive definite linear systems. The preconditioner is constructed as a proper combination of advanced preconditioning strategies. It can be formally seen as being of domain decomposition type with algebraically constructed overlap. Similar to the classical domain decomposition technique, inexact subdomain solvers are used, based on incomplete Cholesky factorization. The proper preconditioner is shown to be near optimal in minimizing the so-called K-condition number of the preconditioned matrix. The efficiency of both serial and parallel versions of the solution method is illustrated on a set of benchmark problems in linear elasticity.
机译:我们提出了一种针对大型稀疏对称正定线性系统的并行预处理迭代求解器。预处理器是高级预处理策略的适当组合。可以正式将其视为具有代数构造重叠的域分解类型。与经典的域分解技术类似,基于不完全的Cholesky分解,使用了不精确的子域求解器。适当的预处理器在最小化预处理矩阵的所谓K条件数方面显示出接近最佳状态。解决方案方法的串行和并行版本的效率在一系列线性弹性基准问题上得到了说明。

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