IDEAS home Printed from https://ideas.repec.org/h/spr/lnechp/978-3-540-76591-2_11.html
   My bibliography  Save this book chapter

Tame Topology and O-Minimal Structures

In: Computational Aspects of General Equilibrium Theory

Author

Listed:
  • Charles Steinhorn

    (Vassar College)

Abstract

I first want to thank Professor Brown for his kind introduction. My goal is to give everyone a sense of the subject of o-minimality. Ten hours is a lot of time to lecture, but the literature on this topic has grown vast, so I will ignore a lot of things in order to get at issues relevant for this audience. I confess that this is the first time I have spoken to economists.

Suggested Citation

  • Charles Steinhorn, 2008. "Tame Topology and O-Minimal Structures," Lecture Notes in Economics and Mathematical Systems, in: Computational Aspects of General Equilibrium Theory, pages 165-191, Springer.
    • Handle: RePEc:spr:lnechp:978-3-540-76591-2_11
    DOI: 10.1007/978-3-540-76591-2_11
    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 search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Donald J. Brown, 2012. "Notes on Computational Complexity of GE Inequalities," Cowles Foundation Discussion Papers 1865R, Cowles Foundation for Research in Economics, Yale University, revised Aug 2012.
    2. Casey B. Mulligan, 2018. "Quantifier Elimination for Deduction in Econometrics," NBER Working Papers 24601, National Bureau of Economic Research, Inc.
    3. Donald J. Brown, 2012. "Notes on Computational Complexity of GE Inequalities," Cowles Foundation Discussion Papers 1865, Cowles Foundation for Research in Economics, Yale University.
    4. Donald Brown, 2012. "Notes on Computational Complexity of GE Inequalities," Levine's Working Paper Archive 786969000000000537, David K. Levine.
    5. Casey B. Mulligan, 2016. "Automated Economic Reasoning with Quantifier Elimination," NBER Working Papers 22922, National Bureau of Economic Research, Inc.
    6. Casey B. Mulligan & Russell Bradford & James H. Davenport & Matthew England & Zak Tonks, 2018. "Non-linear Real Arithmetic Benchmarks derived from Automated Reasoning in Economics," NBER Working Papers 24602, National Bureau of Economic Research, Inc.

    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:lnechp:978-3-540-76591-2_11. 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.