Created
          October 30, 2014 17:39 
        
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    Binary search
  
        
  
    
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  | import matplotlib.pyplot as plt | |
| import random | |
| def binary_search(target, epsilon): | |
| guess = 1.0 | |
| bottom = 1.0 | |
| top = float("inf") | |
| steps = 0 | |
| while abs(target-guess)>epsilon: | |
| steps += 1 | |
| if guess < target: | |
| bottom = guess | |
| guess = min((top+bottom)/2, guess*2) | |
| elif guess > target: | |
| top = guess | |
| guess = max((top+bottom)/2, guess*.75) | |
| #print("top:{} bottom:{} guess:{}".format(top, bottom, guess)) | |
| return guess, steps | |
| target = [] | |
| steps_to_find = [] | |
| for _ in xrange(1000): | |
| t = random.randint(1,1e10) | |
| steps = binary_search(t, t/100)[1] | |
| target.append(t) | |
| steps_to_find.append(steps) | |
| plt.scatter(target, steps_to_find) | |
| plt.show() | |
  
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