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首页> 外文期刊>SIAM Journal on Numerical Analysis >BDDC algorithms for incompressible Stokes equations
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BDDC algorithms for incompressible Stokes equations

机译:不可压缩Stokes方程的BDDC算法

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The purpose of this paper is to extend the balancing domain decomposition by constraints (BDDC) algorithm to saddle-point problems that arise when mixed finite element methods are used to approximate the system of incompressible Stokes equations. The BDDC algorithms are iterative substructuring methods which form a class of domain decomposition methods based on the decomposition of the domain of the differential equations into nonoverlapping subdomains. They are defined in terms of a set of primal continuity constraints which are enforced across the interface between the subdomains and which provide a coarse space component of the preconditioner. Sets of such constraints are identified for which bounds on the rate of convergence can be established that are just as strong as previously known bounds for the elliptic case. In fact, the preconditioned operator is effectively positive definite, which makes the use of a conjugate gradient method possible. A close connection is also established between the BDDC and dual-primal finite element tearing and interconnecting (FETI-DP) algorithms for the Stokes case.
机译:本文的目的是将平衡域分解约束(BDDC)算法扩展到使用混合有限元方法近似不可压缩Stokes方程组时出现的鞍点问题。 BDDC算法是迭代子构造方法,其基于将微分方程的域分解为非重叠子域而形成一类域分解方法。它们是根据一组原始连续性约束定义的,这些约束在子域之间的接口上强制执行,并提供了预处理器的粗糙空间成分。识别出这样的约束的集合,可以针对这些约束建立收敛速率的边界,该边界的强度与先前已知的椭圆情况的边界一样强。实际上,预处理算子实际上是正定的,这使得使用共轭梯度法成为可能。在Stokes案例中,BDDC与双原始有限元撕裂和互连(FETI-DP)算法之间也建立了紧密的联系。

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