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引用本文:张丽娜,黄有新,袁 媛,崔 平,曾嘉健.基于蒙特卡罗法的图形面积估算[J].软件工程,2020,23(9):28-31.【点击复制】
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基于蒙特卡罗法的图形面积估算
张丽娜1,黄有新2,袁 媛1,崔 平1,曾嘉健1
(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)
zlnzxy@126.com; 357888316@qq.com; 358919180@qq.com; 1659089277@qq.com; 714261756@qq.com
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。
关键词: 蒙特卡罗方法;深度学习;计算机高级语言;定积分
中图分类号: TP311.1    文献标识码: A
Graph Area Estimation based on Monte Carlo Method
ZHANG Lina1,HUANG Youxin2,YUAN Yuan1,CUI Ping1,ZENG Jiajian 1
(1.Xuzhou University of Technology, Xuzhou 221000, China;
2.Jiangsu Xuzhou Higher Vocational School of Economics & Trading, Xuzhou 221000, China)
zlnzxy@126.com; 357888316@qq.com; 358919180@qq.com; 1659089277@qq.com; 714261756@qq.com
Abstract: 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 de nite 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.
Keywords: Monte Carlo method; in-depth learning; graph area estimation; definite integral


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