• DocumentCode
    527326
  • Title

    Improvement of calculating triple integral based on Monte-Carlo algorithm

  • Author

    Li, Man-zhi ; Wang, Hong-tao ; Shen, You-jian

  • Author_Institution
    Sch. of Math. & Stat., Hainan Normal Univ., Haikou, China
  • Volume
    4
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    1860
  • Lastpage
    1863
  • Abstract
    The basic principle of triple integral is solved by Monte-Carlo method, and it is given the numerical simulation. Based on the averaged-value method, it puts forward that the uniform distribution should be combined with volume of the integral region to improve algorithm, the special cuboid integral region is extended to the general integral region. Example shows that improved algorithm simplifies the calculation process, effectively reduces the computational difficulty, improves the simulation accuracy and computational efficiency. The procedure is simple and easy to debug. Improved algorithm is simple and effective to the triple integral calculation, and so it is more practical.
  • Keywords
    Monte Carlo methods; computational complexity; integral equations; numerical analysis; Monte Carlo algorithm; computational difficulty; numerical simulation; triple integral calculation; Algorithm design and analysis; Computational efficiency; Computational modeling; Cybernetics; Machine learning; Monte Carlo methods; Computer simulation; Monte-Carlo method; Triple integral;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5580951
  • Filename
    5580951