IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-53679-8_1.html
   My bibliography  Save this book chapter

Introduction

In: Generalized Locally Toeplitz Sequences: Theory and Applications

Author

Listed:
  • Carlo Garoni

    (University of Insubria, Department of Science and High Technology)

  • Stefano Serra-Capizzano

    (University of Insubria, Department of Science and High Technology)

Abstract

The theory of generalized locally ToeplitzGeneralized Locally Toeplitz (GLT) (GLT) sequences stems from Tilli’s workLocally Toeplitz (LT) on locally Toeplitz (LT) sequences [120] and from the theory of Toeplitz matrices [5, 23, 24, 28, 29, 70, 89, 119, 123, 124, 129], and was developed by the authors in [60–62, 106, 107]. It was devised in order to solve a specific application problem, namely the problem of computing/analyzing the spectral distribution of matrices arising from the numerical discretization of integral equationsIEs (IEs) and, especially, differential equationsDEs (DEs). A final goal of this spectral analysis is the design of efficient numerical methods for computing the related numerical solutions. As we shall see in Chap. 10 , the theory of GLT sequences finds applications also in other areas of science, but the computation of the spectral distribution of DE discretization matrices remains the main application. Section 1.1 is therefore devoted to a general description of this application. Then, in Sect. 1.2, we provide an overview of the theory of GLT sequences. After reading this introductory chapter, one is ready to enter into the mathematical details with an already-enough-precise idea of what we are going to deal with.

Suggested Citation

  • Carlo Garoni & Stefano Serra-Capizzano, 2017. "Introduction," Springer Books, in: Generalized Locally Toeplitz Sequences: Theory and Applications, chapter 0, pages 1-5, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-53679-8_1
    DOI: 10.1007/978-3-319-53679-8_1
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-319-53679-8_1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.