Research on Calculating Definite Integral Method Based on Monte-Carlo

doi:0.3969/j.issn.1006-2475.2011.11.005

Computer and Modernization ›› 2011, Vol. 1 ›› Issue (11): 15-3.doi: 0.3969/j.issn.1006-2475.2011.11.005

• 算法分析与设计 • Previous Articles Next Articles

Research on Calculating Definite Integral Method Based on Monte-Carlo

MA Hai-feng¹, LIU Yu-xi²

1.Dept. of Information Engineering, Changzhou Institute of Mechatronic Technology, Changzhou 213164, China;2.College of Management, University of Shanghai for Science and Technology, Shanghai 200093, China

Received:2011-04-20 Revised:1900-01-01 Online:2011-11-28 Published:2011-11-28

Abstract

Abstract:

MonteCarlo method is a very important class of numerical methods guided by a statistical probability theory. This paper introduces the algorithm reality of MonteCarlo method for calculating the definite integral, and makes comparative analysis from the accuracy and time efficiency points with interpolation integral. The experimental results show that the MonteCarlo method for calculating the definite integral suits for a wide range and the computation efficiency is efficient.


Key words: MonteCarlo, definite integral, random shots collocation, algorithm

MA Hai-feng;LIU Yu-xi. Research on Calculating Definite Integral Method Based on Monte-Carlo[J]. Computer and Modernization, 2011, 1(11): 15-3.

[1]	WANG Xiaohang1, LI Yongjie1, YU Lei1, FAN Xiao2. A Method of Using Compound Event Probability Operation to Solve Problem of Negative Information Blocking Maximization [J]. Computer and Modernization, 2024, 0(12): 24-33.
[2]	LYU Meijing1, NIAN Mei1, ZHANG Jun1, 2, FU Lusen1. Anomaly Detection of Network Traffic Based on Autoencoder [J]. Computer and Modernization, 2024, 0(12): 40-44.
[3]	YUAN Qingle, MU Li. Inventory Forecasting Method Based on Improved Elman Neural Network [J]. Computer and Modernization, 2024, 0(11): 28-33.
[4]	LI Junchao1, YOU Fei1, ZHANG Chao2, SU Lele2, GONG Yan2 . BiLSTM-Attention Prediction Model and Error Analysis #br# Based on Novel Multi-objective Coati Optimization Algorithm [J]. Computer and Modernization, 2024, 0(11): 70-76.
[5]	ZHANG Zhixia, QIN Zhiyi. Network Public Opinion Prediction Based on Variational Mode Decomposition and IGJO-SVR [J]. Computer and Modernization, 2024, 0(11): 77-83.
[6]	YANG Zhengke, SHEN Xiaodong, WANG Kaixiang, HE Li. Grounding Grid Corrosion Localization Based on Improved Sparrow Search Algorithm [J]. Computer and Modernization, 2024, 0(10): 14-20.
[7]	HUANG Shanshan1, WU Wei2, XU Yuqing1, WEI Jie1. Pipelines in Drawings Detection Method Based on Improved Mask R-CNN and LSD [J]. Computer and Modernization, 2024, 0(10): 42-48.
[8]	DU Mengjun1, LI Ang1, TONG Jun1, QIAN Jin1, KANG Kai1, WANG Ruoding1, JIN Wenxing2. Power Information Data Fusion Model Based on Improved Extreme Learning Algorithm [J]. Computer and Modernization, 2024, 0(10): 61-64.
[9]	WANG Jia1, GU Wenjun1, JU Weigang2, LI Yuwei1, ZHANG Yunlong2, MI Chuanmin3, ZHOU Zhipeng3. Environmental Topology Task Scheduling Based on Diverse Hierarchical Difference Optimization Genetic Algorithm [J]. Computer and Modernization, 2024, 0(10): 65-73.
[10]	YU Tianyi, LI Jianfeng, CHEN Hailong, ZHAI Jun. Collaborative Recommendation Algorithm with Implicit Roles [J]. Computer and Modernization, 2024, 0(09): 1-7.
[11]	ZHANG Huinan1, ZHANG Qiang1, SUN Hongxia2. Dynamic Analysis Model of Reservoir Production Based on Improved#br# Time-series Capsule Network [J]. Computer and Modernization, 2024, 0(09): 15-19.
[12]	YANG Yufeng1, 2, XIA Xiaoyun2, CHEN Zefeng3, LIAO Weizhi2, LI Jiwu2. Dung Beetle Optimization Algorithm Integrating Multiple Strategies for Take-out Order Distribution Route Optimization [J]. Computer and Modernization, 2024, 0(09): 25-32.
[13]	XU Xiaowei, CHENG Yu, QIAN Feng, ZHU Neng, DENG Mingxing. Cryptographic Algorithm of IoV Communication Based on AES [J]. Computer and Modernization, 2024, 0(09): 45-51.
[14]	JIANG Xinzi1, AN Xiaoli1, GAO Shang2. Smart Delivery Service of Public Libraries Based on MTSP Problem [J]. Computer and Modernization, 2024, 0(09): 52-55.
[15]	GAO Meng, ZENG Xianwen. Improved Pelican Optimization Algorithm Based on Circle Mapping and#br# Adaptive t-Distribution Mutation [J]. Computer and Modernization, 2024, 0(09): 69-73.

Research on Calculating Definite Integral Method Based on Monte-Carlo

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments