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Why it is Difficult to Solve Helmholtz Problems with Classical Iterative Methods

机译:为什么用经典的迭代方法很难解决亥姆霍兹问题

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In contrast to the positive definite Helmholtz equation, the deceivingly similar looking indefinite Helmholtz equation is difficult to solve using classical iterative methods. Simply using a Krylov method is much less effective, especially when the wave number in the Helmholtz operator becomes large, and also algebraic preconditioners such as incomplete LU factorizations do not remedy the situation. Even more powerful preconditioners such as classical domain decomposition and multigrid methods fail to lead to a convergent method, and often behave differently from their usual behavior for positive definite problems. For example increasing the overlap in a classical Schwarz method degrades its performance, as does increasing the number of smoothing steps in multigrid. The purpose of this review paper is to explain why classical iterative methods fail to be effective for Helmholtz problems, and to show different avenues that have been taken to address this difficulty.
机译:与正定的亥姆霍兹方程相反,看起来相似的不确定的亥姆霍兹方程很难使用经典的迭代方法求解。简单地使用Krylov方法的效果要差得多,尤其是当Helmholtz算子中的波数变大时,代数预处理器(例如不完全LU分解)也无法解决这种情况。甚至更强大的预处理器(例如经典域分解和多重网格方法)也无法导致收敛方法,并且对于正定问题,其行为通常与通常的行为不同。例如,增加经典Schwarz方法中的重叠会降低其性能,就像增加多网格中的平滑步骤数一样。本文的目的是解释为什么经典的迭代方法无法有效解决亥姆霍兹问题,并展示了为解决这一难题而采取的不同方法。

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