IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v40y1995i1p107-114.html
   My bibliography  Save this article

Solving the mathematical models of neurosciences and medicine

Author

Listed:
  • Adomian, George

Abstract

Problems such as conduction of nerve impulses, behavior of the immune system or of effects of medication, and many others, when modelled by differential equations, are amenable to solution by a mathematical procedure called the decomposition method. This method is efficient and accurate; it makes unnecessary the usual restrictive assumptions which change the problem, sacrificing realism for tractability, in order to use the well-known procedures. As an example, the Fitzhugh-Nagumo equation will be discussed.

Suggested Citation

  • Adomian, George, 1995. "Solving the mathematical models of neurosciences and medicine," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 40(1), pages 107-114.
  • Handle: RePEc:eee:matcom:v:40:y:1995:i:1:p:107-114
    DOI: 10.1016/0378-4754(95)00021-8
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0378475495000218
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/0378-4754(95)00021-8?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Adomian, G., 1987. "Nonlinear oscillations in physical systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 29(3), pages 275-284.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Lesnic, D., 2006. "Blow-up solutions obtained using the decomposition method," Chaos, Solitons & Fractals, Elsevier, vol. 28(3), pages 776-787.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:eee:matcom:v:40:y:1995:i:1:p:107-114. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

      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.