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
Link To Document :
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