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
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