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Large-scale matrix diagonalization methods by direct optimization of Taylor expansion of Rayleigh-Ritz quotient up to third order

机译:通过直接优化Rayleigh-Ritz商直到三阶的Taylor展开来大规模矩阵对角化方法

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摘要

Large-scale matrix diagonalization methods by direct optimization of Taylor expansion of Rayleigh-Ritz quotient up to third order are presented. Some applications of the quadratic and cubic algorithms, focused in lowest, higher and degenerate roots are discussed and analyzed. The performances of the methods are similar to the Lagrange-Newton-Raphson diagonalization method. (C) 2000 Elsevier Science B.V. All rights reserved. [References: 24]
机译:提出了直接优化瑞利-里兹商的泰勒展开直至三阶的大规模矩阵对角化方法。讨论并分析了二次方和三次方算法在低,高和简并根上的一些应用。该方法的性能类似于Lagrange-Newton-Raphson对角化方法。 (C)2000 Elsevier Science B.V.保留所有权利。 [参考:24]

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