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Efficient stabilization and acceleration of numerical simulation of fluid flows by residual recombination

机译:剩余重组通过储存流体流动数值模拟的高效稳定性和加速度

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摘要

The study of the stability of a dynamical system described by a set of partial differential equations (PDEs) requires the computation of unstable states as the control parameter exceeds its critical threshold. Unfortunately, the discretization of the governing equations, especially for fluid dynamic applications, often leads to very large discrete systems. As a consequence, matrix based methods, like for example the Newton-Raphson algorithm coupled with a direct inversion of the Jacobian matrix, lead to computational costs too large in terms of both memory and execution time.
机译:通过一组部分微分方程(PDE)描述的动态系统的稳定性研究需要计算不稳定状态,因为控制参数超过其临界阈值。 遗憾的是,控制方程的离散化,特别是对于流体动态应用,通常导致非常大的离散系统。 因此,基于矩阵的方法,例如耦合的牛顿-Raphson算法与Jacobian矩阵的直接反演耦合,在存储器和执行时间方面导致计算成本太大。

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