• DocumentCode
    2779875
  • Title

    Modified Monte Carlo Method for Triple Integral

  • Author

    Wang, Ping

  • Author_Institution
    Dept. of Sci. & Inf. Sci., Qingdao Agric. Univ., Qingdao, China
  • Volume
    1
  • fYear
    2011
  • fDate
    24-25 Sept. 2011
  • Firstpage
    234
  • Lastpage
    236
  • Abstract
    In order to calculate triple integral problem, Monte Carlo method is used in this paper. By introducing n random points from the right area V, traditional algorithm was changed to select points directly from the integral region O. The principle and realization steps of modified algorithm were shown. Using this method, m random numbers could be generated, and it is obey approximately uniform distribution in O. At last, an actual case shows that this algorithm is prior and the distribution of integral values obtained by modified method conforms to central limit theorem. All these can be proved by experimental data and the fitting curve.
  • Keywords
    Monte Carlo methods; integral equations; random number generation; statistical distributions; central limit theorem; fitting curve; integral value; modified Monte Carlo method; random number; triple integral problem; uniform distribution; Approximation algorithms; Density functional theory; Educational institutions; Fitting; Monte Carlo methods; Probability; Probability density function; Monte Carlo; random number; triple integral;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
  • Conference_Location
    Nanjing, Jiangsu
  • Print_ISBN
    978-1-4577-1419-1
  • Type

    conf

  • DOI
    10.1109/ICM.2011.178
  • Filename
    6113399