IDEAS home Printed from https://ideas.repec.org/p/iim/iimawp/wp00652.html
   My bibliography  Save this paper

The Defective Coin Problem: An Algorithmic Analysis

Author

Listed:
  • Ankolekar Suresh
  • Das Gupta A
  • Srinivasan G

Abstract

The defective coin problem involves identification of defective coin, if any, and ascertain the nature of the defect (heavier/lighter) from a set of coins containing at the most one defective coin, using an equal-arm pan-balance. The solution strategy to minimise number of weightings required to detect the defective coin is based on problem reduction approach involving successive decomposition of the problem into subproblems until it is trivially solved. One of the two types of subproblems is visualised as combination of pair of antithetic problems, leading to an optimal solution procedures which is simply a term by term merger of corresponding antithetic procedures. Also, the algorithm is capable of generating all possible optimal solutions.

Suggested Citation

  • Ankolekar Suresh & Das Gupta A & Srinivasan G, 1985. "The Defective Coin Problem: An Algorithmic Analysis," IIMA Working Papers WP1985-08-01_00652, Indian Institute of Management Ahmedabad, Research and Publication Department.
    • Handle: RePEc:iim:iimawp:wp00652
    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. Paweł Bogawski & Ewa Bednorz, 2016. "Atmospheric conditions controlling extreme summertime evapotranspiration in Poland (central Europe)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(1), pages 55-69, March.
    2. Facci, Andrea Luigi & Andreassi, Luca & Ubertini, Stefano, 2014. "Optimization of CHCP (combined heat power and cooling) systems operation strategy using dynamic programming," Energy, Elsevier, vol. 66(C), pages 387-400.
    3. Cappa, Francesco & Facci, Andrea Luigi & Ubertini, Stefano, 2015. "Proton exchange membrane fuel cell for cooperating households: A convenient combined heat and power solution for residential applications," Energy, Elsevier, vol. 90(P2), pages 1229-1238.

    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:iim:iimawp:wp00652. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/eciimin.html .

    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.