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Multilevel discretization of symmetric saddle point systems without the discrete LBB condition

机译:没有离散LBB条件的对称鞍点系统的多级离散化

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Using an inexact Uzawa algorithm at the continuous level, we study the convergence of multilevel algorithms for solving saddle-point problems. The discrete stability Ladyshen-skaya-BabuSca-Brezzi (LBB) condition does not have to be satisfied. The algorithms are based on the existence of a multilevel sequence of nested approximation spaces for the constrained variable. The main idea is to maintain an accurate representation of the residual associated with the main equation at each step of the inexact Uzawa algorithm at the continuous level. The residual representation is approximated by a Galerkin projection. Whenever a sufficient condition for the accuracy of the representation fails to be satisfied, the representation of the residual is projected on the next (larger) space available in the prescribed multilevel sequence. Numerical results supporting the efficiency of the algorithms are presented for the Stokes equations and a div -curt system.
机译:在连续级别上使用不精确的Uzawa算法,我们研究了解决鞍点问题的多级别算法的收敛性。不必满足离散稳定性Ladyshen-skaya-BabuSca-Brezzi(LBB)条件。该算法基于约束变量的嵌套逼近空间的多级序列的存在。主要思想是在不精确的Uzawa算法的每个步骤中,在连续级别上保持与主方程相关联的残差的准确表示。残余表示由Galerkin投影近似。只要未能满足表示精度的充分条件,就将残差的表示投影到在规定的多级序列中可用的下一个(较大)空间上。为Stokes方程和div-curt系统提供了支持算法效率的数值结果。

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