首页> 外文期刊>International Journal for Numerical Methods in Engineering >FLEXMG: A new library of multigrid preconditioners for a spectral/finite element incompressible flow solver
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FLEXMG: A new library of multigrid preconditioners for a spectral/finite element incompressible flow solver

机译:FLEXMG:用于频谱/有限元不可压缩流求解器的多网格预处理器新库

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摘要

A new library called FLEXMG has been developed for a spectral/finite element incompressible flow solver called SFELES. FLEXMG allows the use of various types of iterative solvers preconditioned by algebraic multigrid methods. Two families of algebraic multigrid preconditioners have been implemented, namely smooth aggregation-type and non-nested finite element-type. Unlike pure gridless multigrid, both of these families use the information contained in the initial fine mesh. A hierarchy of coarse meshes is also needed for the non-nested finite element-type multigrid so that our approaches can be considered as hybrid. Our aggregation-type multigrid is smoothed with either a constant or a linear least-square fitting function, whereas the non-nested finite element-type multigrid is already smooth by construction. All these multigrid preconditioners are tested as stand-alone solvers or coupled with a GMRES method. After analyzing the accuracy of the solutions obtained with our solvers on a typical test case in fluid mechanics, their performance in terms of convergence rate, computational speed and memory consumption is compared with the performance of a direct sparse LU solver as a reference. Finally, the importance of using smooth interpolation operators is also underlined in the study. Copyright (C) 2010 John Wiley & Sons, Ltd.
机译:已经开发了一个名为FLEXMG的新库,用于光谱/有限元不可压缩流动求解器SFELES。 FLEXMG允许使用通过代数多重网格方法进行预处理的各种类型的迭代求解器。已经实现了两个系列的代数多重网格预处理器,即平滑聚合类型和非嵌套有限元类型。与纯无网格多网格不同,这两个族都使用初始细网格中包含的信息。非嵌套的有限元类型的多重网格也需要一个粗糙的网格层次,以便我们的方法可以被认为是混合的。我们的聚合类型的多重网格可以通过常数或线性最小二乘拟合函数进行平滑处理,而非嵌套的有限元类型的多重网格可以通过构造进行平滑处理。所有这些多网格预处理器都已作为独立求解器进行了测试,或与GMRES方法结合使用。在流体力学的典型测试案例上分析了我们的求解器获得的解决方案的准确性之后,将它们在收敛速度,计算速度和内存消耗方面的性能与直接稀疏LU求解器的性能进行了比较。最后,在研究中还强调了使用平滑插值算子的重要性。版权所有(C)2010 John Wiley&Sons,Ltd.

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