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Application of Nonlinear Krylov Acceleration to a Reconstructed Discontinuous Galerkin Method for Compressible Flows

机译:非线性Krylov加速度在可压缩流体重构间断Galerkin方法中的应用。

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A variant of Anderson Mixing, namely the Nonlinear Krylov Acceleration (NKA), is presented and implemented in a reconstructed Discontinuous Galerkin (rDG) method to solve the compressible Euler and Navier-Stokes equations on hybrid grids. A nonlinear system of equations as a result of a fully implicit temporal discretization at each time step is solved using the NKA method with a lower-upper symmetric Gauss-Seidel (LU-SGS) preconditioner. The developed NKA method is used to compute a variety of flow problems and compared with a well-known Newton-GMRES method to demonstrate the performance of the NKA method. Our numerical experiments indicate that the NKA method outperforms its Newton-GMRES counterpart for transient flow problems, and is comparable to Newton-GMRES for steady cases, and thus provides an attractive alternative to solve the system of nonlinear equations arising from the rDG approximation.
机译:提出并实施了一种安德森混合算法的变体,即非线性Krylov加速度(NKA),并以一种非连续伽勒金(rDG)重构方法来求解混合网格上的可压缩Euler和Navier-Stokes方程。使用带有较低上对称高斯-赛德尔(LU-SGS)预处理器的NKA方法,解决了每个时间步的完全隐式时间离散化所导致的非线性方程组。所开发的NKA方法用于计算各种流动问题,并与著名的Newton-GMRES方法进行比较以证明NKA方法的性能。我们的数值实验表明,对于瞬态流动问题,NKA方法优于其Newton-GMRES方法,并且在稳态情况下可与Newton-GMRES方法相提并论,从而为解决由rDG近似产生的非线性方程组提供了有吸引力的替代方法。

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