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Instructions:

Find the Big Oh for the times of excecution of X: = x + 1. You should justify the answer:


I : = N
WHILE I >= 1 DO
BEGIN
FOR J : = 1 TO N DO
X : = X + 1
I = [I/2]
END


Thanks for any suggestions for solving it.

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Last Post by Rashakil Fol
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Gotcha: your post sounds exactly like a homework question. What a coincidence!

There are plenty of articles on the 'net describing big-O; a simple search will uncover them. Read some, think about your problem, then answer it. You'll be amazed at how satisfying it will be.

And, as an added bonus, you'll stand a better chance to pass your exams.

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the time complexity for this algorithm is O(N*N)
since the outer loop is executed approaximately N/2 times and the inner loop is executed N times.
just multiply both.
you get (N*N)/2.
therefore, time complexity is O(N*N).

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Thanks for giving the wrong answer. The outer loop gets executed 1 + floor(log N) times.

The time complexity is not O(N*N).

[Edit: Erm, sorry for being snippy. Anyway, in the outer loop, I gets halved, not decremented, each time. The time complexity is O(N log N).]

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