refer to: http://www.stealthcopter.com/blog/2009/09/python-calculating-pi-using-random-numbers/

During my undergraduate degree I wrote a program in fortran 95 to calculate pi using random numbers. My aim is to rewrite it efficiently in python. I know its a terrible way to calculate pi, and there are much better ways to do it but its fun!

First I’ll explain the maths so you can visualise what’s going on. As we should know _pi_ is the ratio of circle’s radius to its circumference, which is conveniently the same as the ratio of a circle’s area to the square of its radius (wiki…)

So what we are going to be doing is picking lots of random coordinates in an x-y grid and calculating if they are within the circle or the square.

We will assign the radius to be 1, because that makes it easy to work with. By default a random number in python ( random() ) will return a floating point number between 0 and 1. To test if a point is within a circle we simply use Pythagoras.

So if the sqrt(a**2+b**2)<=1 then the point lies inside the circle’s radius. In the diagram above we see that point A lies within the circle, and point B lies outside the circle.

We can really don’t need to use the whole circle as it has symmetry, so we can just take a quartre, which makes the generating of random numbers easier as you only need to use a random number for x and y between 0 and 1, rather than -1 and 1. It will look like the diagram below.

Now for a confusing bit of maths. We are calculating the ratio of the area of a circle to the area of a square.

# Area of circle
A=pi*r**2
# where r = 1
A = pi
# Area of square
A = l ** 2
# in this case (see diagram) our square's length is twice the radius
l=2*r
A=(1+1)**2 = 4 #Therefore our ratio will be pi : 4.
# Which means we must multiply our result by four to get pi.

Final version (efficient for using)

from random import *
from math import sqrt
inside=0
n=1000
for i in range(0,n):
x=random()
y=random()
if sqrt(x*x+y*y)<=1:
inside+=1
pi=4*inside/n
print pi

Below we can see the values it creates

n	calc	error
1 4.00000000 0.73686317
10 3.60000000 0.45840735
100 3.24000000 0.09840735
1000 3.06400000 -0.07759265
10000 3.16160000 0.02000735
100000 3.14140000 -0.00019265
1000000 3.14293600 0.00134335
10000000 3.14117920 -0.00041345

So we can see that the program quickly solves pi to about two decimal places, but it is a terribly inefficient method and will struggle to get much more accuracy than this.

Resources to check out:

Summary: How to calculate PI? Based on Monte Carlo method的更多相关文章

  1. (转)Monte Carlo method 蒙特卡洛方法

    转载自:维基百科  蒙特卡洛方法 https://zh.wikipedia.org/wiki/%E8%92%99%E5%9C%B0%E5%8D%A1%E7%BE%85%E6%96%B9%E6%B3%9 ...

  2. Monte Carlo Method(蒙特·卡罗方法)

    0-故事: 蒙特卡罗方法是计算模拟的基础,其名字来源于世界著名的赌城——摩纳哥的蒙特卡罗. 蒙特卡罗一词来源于意大利语,是为了纪念王子摩纳哥查理三世.蒙特卡罗(MonteCarlo)虽然是个赌城,但很 ...

  3. 蒙特·卡罗方法(Monte Carlo method)

    蒙特·卡罗方法(Monte Carlo method),也称统计模拟方法,是二十世纪四十年代中期由于科学技术的发展和电子计算机的发明,而被提出的一种以概率统计理论为指导的一类非常重要的数值计算方法.是 ...

  4. 蒙特卡罗算法(Monte Carlo method)

    蒙特卡罗方法概述 蒙特卡罗方法又称统计模拟法.随机抽样技术,是一种随机模拟方法,以概率和统计理论方法为基础的一种计算方法,是使用随机数(或更常见的伪随机数)来解决很多计算问题的方法.将所求解的问题同一 ...

  5. (转)Markov Chain Monte Carlo

    Nice R Code Punning code better since 2013 RSS Blog Archives Guides Modules About Markov Chain Monte ...

  6. Introduction To Monte Carlo Methods

    Introduction To Monte Carlo Methods I’m going to keep this tutorial light on math, because the goal ...

  7. 蒙特卡罗方法、蒙特卡洛树搜索(Monte Carlo Tree Search,MCTS)初探

    1. 蒙特卡罗方法(Monte Carlo method) 0x1:从布丰投针实验说起 - 只要实验次数够多,我就能直到上帝的意图 18世纪,布丰提出以下问题:设我们有一个以平行且等距木纹铺成的地板( ...

  8. History of Monte Carlo Methods - Part 1

    History of Monte Carlo Methods - Part 1 Some time ago in June 2013 I gave a lab tutorial on Monte Ca ...

  9. Monte Carlo Policy Evaluation

    Model-Based and Model-Free In the previous several posts, we mainly talked about Model-Based Reinfor ...

随机推荐

  1. 一个简单的DDraw应用程序2

    //------------------------------------------------------------------------- // 文件名 : 6_1.cpp// 创建者 : ...

  2. eclipse android重新安装遇到各种问题

    1.JAVA_HOME环境变量失效的解决办法 原文网址:http://www.cnblogs.com/yjmyzz/p/3521554.html 晚上把oracle自带的weblogic给卸载了,然后 ...

  3. WebView loadData出错(奇怪的设计)

    今天遇到一个奇怪的问题. 我使用WebView加载一个网页.  方法1. 直接使用 loadUrl() 方法,没有问题.完全可以.方法2. 使用loadData()方法,出现问题,无法显示.方法3. ...

  4. Lua 中使用面向对象(续)

    上一篇文章给了一个面向对象的方案,美中不足的是没有析构函数 Destructor,那么这一次就给它加上. 既然是析构,那么就是在对象被销毁之前做该做的事情,lua 5.1 的 userdata 可以给 ...

  5. javaweb要点复习 jsp和servlet

    jsp:就是java server page ,  html嵌入java  ,所以更方面显示(V) serlet,就是服务器端小程序 java中嵌入html,更方面业务处理. jsp执行过程 1)客户 ...

  6. RHEL7下安装使用TensorFlow和kcws

    0.安装依赖包 #用pip安装python科学计算库numpy,sklearn,scipysu - wget http://dl.fedoraproject.org/pub/epel/7/x86_64 ...

  7. textarea在光标位置插入文字

    最近开发类似计算器界面,需要在textarea中编辑公式,涉及到 在光标位置插入 字符. 效果如下: + - * / 添加文字 // html代码如下: <!doctype html> & ...

  8. PostgreSQL9.5 新特性

    PostgreSQL9.5 新特性 PostgreSQL9.5:Foreign Table Inheritance PostgreSQL9.5:Row-Level Security Policies ...

  9. mysql出现Got error 28 from storage engine错误

    今天晚上碰到app数据库出错Got error 28 from storage engine 服务程序出现这样的错误 Sql.Data---Error writing file '/tmp/ML2ig ...

  10. git与svn的区别-小结一下

    1)Git是分布式的,SVN不是: 这 是GIT和其它非分布式的版本控制系 统,例如SVN,CVS等,最核心的区别.好处是跟其他同事不会有太多的冲突,自己写的代码放在自己电脑上,一段时间后再提交.合并 ...