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arXiv 2408.05095math.NAcs.NA
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一种用于Navier--Stokes方程控制的增广拉格朗日预条件子

An augmented Lagrangian preconditioner for the control of the Navier--Stokes equations

Santolo Leveque, Michele Benzi, Patrick E. Farrell

AI总结:

针对定常不可压缩Navier--Stokes方程的分布控制问题,提出不精确牛顿线性化最优性条件的方法,结合增广拉格朗日块三角预条件子与灵活GMRES求解离散后的鞍点系统,数值实验验证其对粘度、网格尺寸等的鲁棒性。

摘要:

我们研究定常不可压缩Navier--Stokes方程的分布控制问题求解。提出最优性条件的不精确牛顿线性化方法,经有限元离散后得到一系列大型对称鞍点型线性系统。在每个牛顿步,结合增广拉格朗日块三角预条件子与灵活GMRES方法,预条件子通过合适的多重网格求解器不精确应用。数值实验表明,该方法对2D问题的粘度、网格尺寸和正则化参数选择具有较强鲁棒性。

英文摘要:

We address the solution of the distributed control problem for the steady, incompressible Navier--Stokes equations. We propose an inexact Newton linearization of the optimality conditions. Upon discretization by a finite element scheme, we obtain a sequence of large symmetric linear systems of saddle-point type. We use an augmented Lagrangian-based block triangular preconditioner in combination with the flexible GMRES method at each Newton step. The preconditioner is applied inexactly via a suitable multigrid solver. Numerical experiments indicate that the resulting method appears to be fairly robust with respect to viscosity, mesh size, and the choice of regularization parameter when applied to 2D problems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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