Gauss–Laurent-type quadrature rules for the approximation of functionals of a nonsymmetric matrix
Author:
Funder
King Abdulaziz University
National Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s11075-021-01101-0.pdf
Reference28 articles.
1. Alqahtani, H., Reichel, L.: Simplified anti-Gauss quadrature rules with applications in linear algebra. Numer. Algorithms 77, 577–602 (2018)
2. Alqahtani, H., Reichel, L.: Generalized block anti-Gauss quadrature rules. Numer. Math. 143, 605–648 (2019)
3. Barkouki, H., Bentbib, A. H., Jbilou, K.: A matrix rational Lanczos method for model reduction in large-scale first- and second-order dynamical systems. Numer. Linear Algebra Appl. 24, Art.e2077 (2017)
4. Bentbib, A. H., El Ghomari, M., Jagels, C., Jbilou, K., Reichel, L.: The extended global Lanczos method for matrix function approximation. Electron. Trans. Numer. Anal. 50, 144–163 (2018)
5. Calvetti, D., Reichel, L., Sgallari, F.: Application of anti-Gauss quadrature rules in linear algebra. In: Gautschi, W., Golub, G.H., Opfer, G. (eds.) Applications and Computation of Orthogonal Polynomials, pp 41–56. Birkhäuser, Basel (1999)
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