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PI
- 利用布丰投针的思想，用数值随机算法估计计算PI的值。-Buffon' s needle to use for thought, random algorithm is estimated by numerical calculation of the value of PI.
buffon_demo
- matlab模拟buffon投针并求pi值-matlab simulation buffon needle cast and find the value of pi
Buffon
- 模拟Buffon随机投针计算圆周率的Mathematica 源程序-Simulation of Buffon needle calculate pi were cast in the Mathematica source code
buffon
- 蒲丰投针的Matlab源程序，返回的结果是Pi的近似。-buffoncalc(m) performs m iterations of Buffon s needle experiment and returns the thus calculated approximation of \pi.
mento_carlo_to_comput_pi
- 用蒙特卡罗算法模拟了三种pi值的计算过程，包括蒲丰投针的模拟和matlab GUI界面设计程序。-With the Monte Carlo method to simulate the three pi calculation process, including the Buffon needle cast simulation and matlab GUI interface design process.
BuffonNeedle
- Buffon投针试验，计算圆周率的值.使用MFC完成界面和图形的开发-The application of Buffon Needle Test with GUI by MFC.
111
- function pi = solve2(count,m,cc) 借助布冯投针实验 仿真求pi的值 pi=0 frq=0 randNo = binornd(1,cc,1,m) pro=zeros(1,count) for j=1:count for i = 1:m if randNo(1,i) == 1 frq = frq + 1 end pro(i) = frq/i end pi = (2*m)/frq
buffon
- 蒲丰投针实验matlab程序，有详细的中文注释和例程，可以学习。-Po Fung cast the needle experiment matlab program, with detailed notes and routines of the Chinese, you can learn.
Buffons-needle-experiment
- matlab布丰投针问题的matlab代码蒙特卡洛模拟-matlab buffon
MATLAB
- 布丰投针的函数，蒙特卡洛方法求解pi的近似值-Buffon cast pin function Monte Carlo method for solving an approximation of pi
Buffon-needle-cast-problem
- 蒲丰投针求π问题的几种解法，可作为概率论的大作业-Buffon needle cast seeking π problem several solutions can be used as probability theory
MATLAB1
- 线性方程组的解法,插值拟合,随机程序,狼追兔子动态模拟,蒲丰投针,弹球模拟-Solution of linear equations, interpolation fitting, random program, wolves chasing rabbits dynamic simulation, Buffon needle cast, pinball simulation
Buffon
- 用matlab做的蒲丰投针动态仿真实验。用了GUI。投针预测Pi的值。-Using matlab to do Buffon needle cast of dynamic simulation. With a GUI. Needle cast predictive value of Pi.
PF
- 用计算机模拟一个随机事件，蒲丰投针的实验，并估计随机事件发生的概率以计算圆周率pi，并分析所设计的随机实验中各因素的影响。(A computer simulation of random events, such as Buffon needle experiment, and estimate the probability of random events to compute PI, and analyze the influencing factors in the design of
buffon
- 利用matlab来实现“buffon”投针实验：关于pi的数值计算。(It is an example of Monte carlo.It is a very good numerical calculation of pi.)