IDEAS home Printed from https://ideas.repec.org/p/isu/genres/11186.html
   My bibliography  Save this paper

Solving Nonlinear Equations By Adaptive Homotopy Continuation

Author

Listed:
  • Kalaba, Robert E.
  • Tesfatsion, Leigh S.

Abstract

This article introduces and constructively illustrates the concept of an adaptive homotopy for solving systems of nonlinear equations. Standard homotopy methods rely on a passive continuation parameter moving from 0 to 1 along the real line and are stymied if the homotopy Jacobian matrix becomes ill-conditioned along this path. In contrast, an adaptive homotopy replaces the passive continuation parameter by a "smart agent" that adaptively makes its way by trial and error from 0+0i to 1+0i in the complex plane C in accordance with certain specified objectives. The homotopy thus adapts to the physical problem at hand rather than requiring the user to reformulate his physical problem to conform to homotopy requirements. The adaptive homotopy algorithm designed and tested in the current study permits the continuation agent to adaptively traverse a "spider-web" grid in C centered about 1+0i in an attempt to achieve two objectives: (a) short continuation path from 0+0i to 1+0i; and (b) avoidance of regions where the homotopy Jacobian matrix becomes ill-conditioned.Annotated pointers to related work can be accessed at http://www2.econ.iastate.edu/tesfatsi/nasahome.htm

Suggested Citation

  • Kalaba, Robert E. & Tesfatsion, Leigh S., 1991. "Solving Nonlinear Equations By Adaptive Homotopy Continuation," Staff General Research Papers Archive 11186, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genres:11186
    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. Koesrinartoto, D. & Sun, Junjie & Tesfatsion, Leigh, 2005. "An agent-based computational laboratory for testing the economic reliability of wholesale power market designs," ISU General Staff Papers 200501010800001043, Iowa State University, Department of Economics.
    2. Max E. Jerrell, 1999. "Environments for Global Optimization Using Interval Arithmetic and Computational (Automatic) Differentiation," Computing in Economics and Finance 1999 1321, Society for Computational Economics.

    More about this item

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling

    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:isu:genres:11186. 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: Curtis Balmer (email available below). General contact details of provider: https://edirc.repec.org/data/deiasus.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.