how to plot pi estimation using two for loops

N = 10000;
count=0;
for i=1:N
x=rand();
y=rand();
if x^2+y^2<=1
count=count+1;
else
%for j=1:M
% A(i,j)=I+J;
%end
end
end
count = 4*count; % circle iteration
value = count/N % total iterations
error = pi-value
%plot(value,count)
%plot(x,pi,x,error)
%figure (1)
%scatter (x,y,'r')

回答(1 个)

2 个评论

I don't understand the figure.
If the number of Monte-Carlo iterations to approximate pi increases, the estimated value for pi should more and more approach the true value of pi. According to your graphics, the number of iterations doesn't influence the exactness of the approximation. That's unlogical.

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