IDEAS home Printed from https://ideas.repec.org/p/ags/ucbecw/37856.html
   My bibliography  Save this paper

Solving and Interpreting Large-scale Harvest Scheduling Problems by Duality and Decomposition

Author

Listed:
  • Berck, Peter
  • Bible, Thomas

Abstract

This paper presents a solution to the forest planning problem that takes advantage of both the duality of linear programming formulations currently being used for harvest scheduling and the characteristics of decomposition inherent in the forest land class-relationship. The subproblems of decomposition, defined as the dual, can be solved in a simple, recursive fashion. In effect, such a technique reduces the computational burden in terms of time and computer storage as compared to the traditional primal solutions. In addition, utilization of this method allows the use of two simple procedures for creating an initial, basic, feasible solution. Forest management alternatives within one (or more) land class can be evaluated easily in this framework, and multiple-use considerations can be incorporated directly into the optimization as nonharvest values.

Suggested Citation

  • Berck, Peter & Bible, Thomas, 1982. "Solving and Interpreting Large-scale Harvest Scheduling Problems by Duality and Decomposition," CUDARE Working Papers 37856, University of California, Berkeley, Department of Agricultural and Resource Economics.
  • Handle: RePEc:ags:ucbecw:37856
    DOI: 10.22004/ag.econ.37856
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/37856/files/CUDARE%20172R%20Berck%20.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.37856?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Land Economics/Use;

    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:ags:ucbecw:37856. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/dabrkus.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.