IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v50y2006i1p89-106.html
   My bibliography  Save this article

An application of the modified Leverrier-Faddeev algorithm to the spectral decomposition of symmetric block-circulant matrices

Author

Listed:
  • Gower, John C.

Abstract

No abstract is available for this item.

Suggested Citation

  • Gower, John C., 2006. "An application of the modified Leverrier-Faddeev algorithm to the spectral decomposition of symmetric block-circulant matrices," Computational Statistics & Data Analysis, Elsevier, vol. 50(1), pages 89-106, January.
    • Handle: RePEc:eee:csdana:v:50:y:2006:i:1:p:89-106
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(04)00229-4
    Download Restriction: Full text for ScienceDirect subscribers only.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Michael Greenacre, 2003. "Singular value decomposition of matched matrices," Journal of Applied Statistics, Taylor & Francis Journals, vol. 30(10), pages 1101-1113.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Torres, Anna & Bijmolt, Tammo H.A., 2009. "Assessing brand image through communalities and asymmetries in brand-to-attribute and attribute-to-brand associations," European Journal of Operational Research, Elsevier, vol. 195(2), pages 628-640, June.
    2. Zárraga, A. & Goitisolo, B., 2009. "Simultaneous analysis and multiple factor analysis for contingency tables: Two methods for the joint study of contingency tables," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3171-3182, June.
    3. Muhammad Rifqi Maarif & Muhammad Syafrudin & Norma Latif Fitriyani, 2023. "Uncovering Sustainability Insights from Amazon’s Eco-Friendly Product Reviews for Design Optimization," Sustainability, MDPI, vol. 16(1), pages 1-23, December.
    4. Michael Greenacre, 2021. "Compositional data analysis — linear algebra, visualization and interpretation," Economics Working Papers 1805, Department of Economics and Business, Universitat Pompeu Fabra.

    More about this item

    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:eee:csdana:v:50:y:2006:i:1:p:89-106. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/csda .

    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.