IDEAS home Printed from https://ideas.repec.org/p/nig/wpaper/0125.html
   My bibliography  Save this paper

Advanced Computational Complexity Theory from an Elementary Standpoint

Author

Listed:
  • K. Vela Velupillai

    (Department of Economics, National University of Ireland, Galway)

Abstract

A computable economist's view of the world of computational complexity theory is described. This means the model of computation underpinning theories of computational complexity plays a central role. The emergence of computational complexity theories from diverse traditions is emphasised. The unifications that emerged in the modern era was codified by means of the notions of efficiency of computations, non-deterministric computations, completeness, reducibility and verifiability - all three of the latter concepts had their origins on what may be called 'Post's Program for Research for Higher Recursion Theory'. The recent real model of computation as a basis for studying computational complexity in the domain of the reals is also presented and discussed, albeit critically. A brief sceptical section on algorithmic complexity theory is included in an appendix.

Suggested Citation

  • K. Vela Velupillai, 2007. "Advanced Computational Complexity Theory from an Elementary Standpoint," Working Papers 125, National University of Ireland Galway, Department of Economics, revised 2007.
  • Handle: RePEc:nig:wpaper:0125
    as

    Download full text from publisher

    File URL: http://www.economics.nuig.ie/resrch/paper.php?pid=132
    File Function: First version, 2007
    Download Restriction: no

    File URL: http://www.economics.nuig.ie/resrch/paper.php?pid=132
    File Function: Revised version, 2007
    Download Restriction: no

    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:nig:wpaper:0125. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Srinivas Raghavendra). General contact details of provider: http://edirc.repec.org/data/deucgie.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.