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
Link To Document :
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