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首页> 外文期刊>SIAM Journal on Numerical Analysis >Efficient solvers for saddle-point problems arising from domain decompositions with Lagrange multipliers
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Efficient solvers for saddle-point problems arising from domain decompositions with Lagrange multipliers

机译:拉格朗日乘子域分解引起的鞍点问题的高效求解器

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摘要

In this paper, we are concerned with the domain decomposition method with Lagrange multipliers for solving three-dimensional elliptic problems with variable coefficients. We shall first introduce a weighted saddle-point problem resulting from this domain decomposition, which can be solved by existing iterative methods. Then we will construct two simple preconditioners, one for the system associated with the displacement variable and the other for the Schur complement system associated with the multiplier variable, that are applicable to various discretization schemes. The new preconditioners possess such local properties that they can be implemented cheaply. We will show that the condition number of the global preconditioned system grows only as the logarithm of the dimension of the local problem associated with an individual substructure and is independent of the large variations of the coefficients across the local interfaces.
机译:在本文中,我们关注使用拉格朗日乘子的域分解方法来解决变系数三维椭圆问题。我们将首先介绍由该域分解产生的加权鞍点问题,可以通过现有的迭代方法解决该问题。然后,我们将构造两个简单的预处理器,一个用于与位移变量关联的系统,另一个用于与乘数变量关联的Schur补码系统,它们适用于各种离散化方案。新的预处理器具有本地特性,因此可以廉价地实现。我们将显示,全局预处理系统的条件数仅随着与单个子结构相关联的局部问题的维数的对数增长,并且独立于局部接口上系数的大变化。

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