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Gauss–Laurent-type quadrature rules for the approximation of functionals of a nonsymmetric matrix
Numerical Algorithms ( IF 1.7 ) Pub Date : 2021-05-08 , DOI: 10.1007/s11075-021-01101-0
J. Alahmadi , H. Alqahtani , M. S. Pranić , L. Reichel

This paper is concerned with the approximation of matrix functionals of the form wTf(A)v, where \(A\in \mathbb {R}^{n\times n}\) is a large nonsymmetric matrix, \(\boldsymbol {w},\boldsymbol {v}\in \mathbb {R}^{n}\), and f is a function such that f(A) is well defined. We derive Gauss–Laurent quadrature rules for the approximation of these functionals, and also develop associated anti-Gauss–Laurent quadrature rules that allow us to estimate the quadrature error of the Gauss–Laurent rule. Computed examples illustrate the performance of the quadrature rules described.



中文翻译:

非对称矩阵泛函的Gauss-Laurent型正交规则

本文关注w T fAv形式的矩阵泛函的近似,其中\(A \ in \ mathbb {R} ^ {n \ times n} \)是一个大的非对称矩阵\(\ \ mathbb {R} ^ {n} \中的oldsymbol {w},\ boldsymbol {v} \),并且f是使fA)定义明确的函数。我们导出了这些函数的近似值的高斯-洛朗特正交规则,并且还开发了相关的反高斯-洛朗特正交规则,这些规则使我们能够估计高斯-洛朗特规则的正交误差。计算示例说明了所描述的正交规则的性能。

更新日期:2021-05-08
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