Linearization of matrix polynomials expressed in polynomial bases

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Cite
Amiraslani, A., et al. “Linearization of Matrix Polynomials Expressed in Polynomial Bases”. IMA Journal of Numerical Analysis, vol. 29, no. 1, 2008, pp. 141-57, https://doi.org/10.1093/imanum/drm051.
Amiraslani, A., Corless, R. M., & Lancaster, P. (2008). Linearization of matrix polynomials expressed in polynomial bases. IMA Journal of Numerical Analysis, 29(1), 141-157. https://doi.org/10.1093/imanum/drm051
Amiraslani A, Corless RM, Lancaster P. Linearization of matrix polynomials expressed in polynomial bases. IMA Journal of Numerical Analysis. 2008;29(1):141-57.
Citations
Title Journal Journal Categories Citations Publication Date
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Citations Analysis
The category Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods 52 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Rayleigh quotient algorithms for nonsymmetric matrix pencils and was published in 2009. The most recent citation comes from a 2023 study titled Linearizations of matrix polynomials viewed as Rosenbrock's system matrices. This article reached its peak citation in 2017, with 8 citations. It has been cited in 24 different journals. Among related journals, the Linear Algebra and its Applications cited this research the most, with 16 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year