@inbook{39ca715c191d4b478369d56847b88db5,
title = "Numerical Investigation of the Spectral Distribution of Toeplitz-Function Sequences",
abstract = "Solving Toeplitz-related systems has been of interest for their ubiquitous applications, particularly in image science and the numerical treatment of differential equations. Extensive study has been carried out for Toeplitz matrices Tn∈Cn×n as well as Toeplitz-function matrices h(Tn)∈Cn×n, where h(z) is a certain function. Owing to its importance in developing effective preconditioning approaches, their spectral distribution associated with Lebesgue integrable generating functions f has been well investigated. While the spectral result concerning {h(Tn)}n is largely known, such a study is not complete when considering {Ynh(Tn)}n with Yn∈Rn×n being the anti-identity matrix. In this book chapter, we attempt to provide numerical evidence for showing that the eigenvalues of {Ynh(Tn)}n can be described by a spectral symbol which is precisely identified.",
keywords = "Asymptotic spectral distribution, Circulant preconditioners, Hankel matrices, Toeplitz matrices",
author = "Hon, {Sean Y S} and Andy Wathen",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.",
year = "2019",
month = nov,
day = "27",
doi = "10.1007/978-3-030-32882-5_4",
language = "English",
isbn = "9783030328818",
series = "Springer INdAM Series",
publisher = "Springer Cham",
pages = "77--91",
editor = "Marco Donatelli and Stefano Serra-Capizzano",
booktitle = "Computational Methods for Inverse Problems in Imaging",
edition = "1st",
}