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Numerical methods for the tridiagonal hyperbolic quadratic eigenvalue problem

机译:三对角双曲二次特征值问题的数值方法

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摘要

We consider numerical methods for the computation of the eigenvalues of the tridiagonal hyperbolic quadratic eigenvalue problem. The eigenvalues are computed as zeros of the characteristic polynomial using the bisection, Laguerre's method, and the Ehrlich-Aberth method. Initial approximations are provided by a divide-and-conquer approach using rank two modi. cations, and we show that these initial approximations interlace with the exact eigenvalues. The above methods need a stable and efficient evaluation of the quadratic eigenvalue problem's characteristic polynomial and its derivatives. We discuss how to obtain these values using three-term recurrences, the QR factorization, and the LU factorization. Numerical results show that the presented methods are more efficient than solving a linearized generalized eigenvalue problem.
机译:我们考虑用数值方法来计算三对角双曲二次特征值问题的特征值。使用二等分,Laguerre方法和Ehrlich-Aberth方法将特征值计算为特征多项式的零。初始近似值是通过使用等级2模的分治法来提供的。阳离子,并且我们证明了这些初始近似值与精确的特征值交织。上述方法需要稳定有效地评估二次特征值问题的特征多项式及其导数。我们讨论如何使用三项递归,QR分解和LU分解来获得这些值。数值结果表明,所提出的方法比求解线性化广义特征值问题更有效。

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