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This question is from the book "Introduction To Algorithms". I am looking for some help in solving this. I Apologize in advance for the long question. Also note that this is not homework ( I am not in school )

Exercise 8.4-4
We are given n points in the unit circle, , such that for . Suppose that the points are uniformly distributed; that is, the probability of finding a point in any region of the circle is proportional to the area of that region. Design a expected-time algorithm to sort the n points by their distances from the origin. (Hint: Design the bucket sizes in BUCKET-SORT to reflect the uniform distribution of the points in the unit circle.)


I understand the solution goes something like this-
Divide the area of the circle into n concentric circles. Area of each region will be 1/n. The radius corresponding to this would be Sqrt(1/n),Sqrt(2/n)...Sqrt(n/n)
Now for each point, calculate the radius and store in the corresponding bucket. Now perform the bucket sort.

My Question is how do I efficiently identify the bucket to which a Point P(x,y) belongs. If I check against each of the boundary values. It will take me O(n*n) only to identify the buckets.
Is there a better way to identify the bucket.

Thanks,
Amit
Posted

1 solution

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Solution 1

The clue is in the boundary radii. They are, as you say, sqrt(i/n) for i = 1 to n. Ugly, but their squares are nicely behaved - evenly spaced multiple of 1/n.
So the code would go something like this (depending on what language you are using)
int whichbucket(double x, double y, int n)
{
  double distsquared = x * x + y * y;
  return floor(distsquared * n);
}

Cheers,
Peter
   
Comments
AmitDey 8-Jun-12 8:44am
   
Thanks a lot Peter. that solves it.

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