IDEAS home Printed from https://ideas.repec.org/a/wsi/ijmpcx/v21y2010i04ns0129183110015282.html
   My bibliography  Save this article

Optimization Of Quantum Monte Carlo Wave Function: Steepest Descent Method

Author

Listed:
  • M. EBRAHIM FOULAADVAND

    (Department of Physics, Zanjan University, P. O. Box 45196-313 Zanjan, Iran;
    Computational Physical Sciences Laboratory, Department of Nano-Science, Institute for Research in Fundamental Sciences (IPM), P. O. Box 19395-5531 Tehran, Iran)

  • MOHAMMAD ZARENIA

    (Department of Physics, Tarbiat Modares University, P. O. Box 14115-111 Tehran, Iran)

Abstract

We have employed the steepest descent method to optimize the variational groundstate quantum Monte Carlo wave function forHe,Li,Be,BandCatoms. We have used both the direct energy minimization and the variance minimization approaches. Our calculations show that in spite of receiving insufficient attention, the steepest descent method can successfully minimize the wave function. All the derivatives of the trial wave function respect to spatial coordinates and variational parameters have been computed analytically. Our groundstate energies are in a very good agreement with those obtained with diffusion quantum Monte Carlo method (DMC) and the exact results.

Suggested Citation

  • M. Ebrahim Foulaadvand & Mohammad Zarenia, 2010. "Optimization Of Quantum Monte Carlo Wave Function: Steepest Descent Method," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 21(04), pages 523-533.
  • Handle: RePEc:wsi:ijmpcx:v:21:y:2010:i:04:n:s0129183110015282
    DOI: 10.1142/S0129183110015282
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0129183110015282
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0129183110015282?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:wsi:ijmpcx:v:21:y:2010:i:04:n:s0129183110015282. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijmpc/ijmpc.shtml .

    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.