IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-60218-4_38.html

Symbolic Analysis of Computational Algorithms with SYDNA

In: Computer Algebra in Scientific Computing CASC’99

Author

Listed:
  • Radu Zapotinschi

    (“Babeş-Bolyai” University, Department of Applied Mathematics)

Abstract

The paper presents SYDNA (SYmbolic-Driven Numerical Analysis), a computer algebra library dedicated to the analysis and synthesis of numerical algorithms. The system provides a framework for expressing different parts of complex problem solving procedures. Numerical algorithms are specified using a higher- order functor system, which maximizes code reusability. Efficient implementations are generated by fully instantiating the functors at compile-time, optimizing specifications through program transformations and code generation.

Suggested Citation

  • Radu Zapotinschi, 1999. "Symbolic Analysis of Computational Algorithms with SYDNA," Springer Books, in: Victor G. Ganzha & Ernst W. Mayr & Evgenii V. Vorozhtsov (ed.), Computer Algebra in Scientific Computing CASC’99, pages 499-509, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-60218-4_38
    DOI: 10.1007/978-3-642-60218-4_38
    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:978-3-642-60218-4_38. 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.