from numpy import * import pylab x = [0, 0]; A = [ [.5, 0], [0, .5] ]; b1 = [0, 0]; b2 = [.5, 0]; b3 = [.25, sqrt(3)/4]; for i in range(3000): # 3000 points will be generated r = fix(random.rand()*3) if r==0: x = dot(A,x)+b1 if r==1: x = dot(A,x)+b2 if r==2: x = dot(A,x)+b3 pylab.plot(x[0],x[1],'m.',markersize=2) pylab.show()It will take a while, here's the result
Tuesday, June 7, 2011
Sierpinski fractal
As described in the introduction of Numerical Computing in Matlab we can generate fractals using affine transformations. The following script uses it to generate the famous Sierpinski triangle:
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment
Note: Only a member of this blog may post a comment.