IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v327y2018icp8-21.html
   My bibliography  Save this article

Wavelet Galerkin method for fourth order linear and nonlinear differential equations

Author

Listed:
  • Priyadarshi, Gopal
  • Rathish Kumar, B.V.

Abstract

In this paper, we propose a wavelet Galerkin method for fourth order linear and nonlinear differential equations using compactly supported Daubechies wavelets. 2-term connection coefficients have been effectively used for a computationally economical evaluation of higher order derivatives. The orthogonality and compact support properties of basis functions lead to highly sparse linear systems. The quasilinearization strategy is effectively employed in dealing with wavelet coefficients of nonlinear problems. The stability and the convergence analysis, in the form of error analysis, have been carried out. An efficient compression algorithm is proposed to reduce the computational cost of the method. Finally, the method is tested on several examples and found to be in good agreement with exact solution.

Suggested Citation

  • Priyadarshi, Gopal & Rathish Kumar, B.V., 2018. "Wavelet Galerkin method for fourth order linear and nonlinear differential equations," Applied Mathematics and Computation, Elsevier, vol. 327(C), pages 8-21.
  • Handle: RePEc:eee:apmaco:v:327:y:2018:i:c:p:8-21
    DOI: 10.1016/j.amc.2017.12.047
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300318300067
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2017.12.047?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.

    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:apmaco:v:327:y:2018:i:c:p:8-21. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    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.