基于蒙特卡罗法的图形面积估算  

Graph Area Estimation based on Monte Carlo Method

作　　者：张丽娜[1] 黄有新[2] 袁媛[1] 崔平[1] 曾嘉健 ZHANG Lina;HUANG Youxin;YUAN Yuan;CUI Ping;ZENG Jiajian(Xuzhou University of Technology,Xuzhou 221000,China;Jiangsu Xuzhou Higher Vocational School of Economics&Trading,Xuzhou 221000,China)

机构地区：[1]徐州工程学院,江苏徐州221000 [2]江苏省徐州经贸高等职业学校,江苏徐州221000

出　　处：《软件工程》2020年第9期28-31,共4页Software Engineering

基　　金：江苏省现代教育技术研究课题(2020-R-77003)基于大数据的计算机高级语言多维度深度学习行为可操作性研究。

摘　　要：针对面积估算普遍存在于工程计算当中,工作量大,计算复杂的实际情况,开展了基于计算机高级语言课程的面积估算研究,以蒙特卡罗抛洒法估算图形面积实现层次分明的定积分计算,有效解决了面积估算过程中计算的复杂度,引领学生产生高成就感的深度学习行为,训练了计算思维能力。Aiming at the heavy workload and complex calculation in Area estimation which is commonly used in engineering calculation, this paper conducts an area estimation research based on computer advanced language course. Monte Carlo scattering method is used to estimate the graph area, and the hierarchical definite integral calculation is realized. This method effectively solves the problem of calculation complexity in the area estimation process, leading students to carry out in-depth learning with high sense of achievement and train themselves the ability of computational thinking.

关 键 词：蒙特卡罗方法 深度学习 计算机高级语言 定积分 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]