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Editorial Team
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Editorial Team
Asked: May 11, 20262026-05-11T17:22:20+00:00 2026-05-11T17:22:20+00:00

Can anyone help with with the time complexity of this algorithm, and why it

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Can anyone help with with the time complexity of this algorithm, and why it is O(n^2). A step by step explanation would be helpful, thanks!

function divide(x,y)
    Input: Two n-bit integers x and y, where y >= 1
    Output: The quotient and remainder of x divided by y

    if x = 0:
        return (q,r) = (0,0)

    (q,r) = divide(x/2, y)
    q = 2q
    r = 2r

    if x is odd:
        r = r + 1

    if r >= y:
        r = r - y
        q = q + 1

    return (q,r)
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  1. Editorial Team
    Editorial Team
    2026-05-11T17:22:20+00:00Added an answer on May 11, 2026 at 5:22 pm

    Due to the recursion, divide() is called up to n times.

    Suppose simple arithmetic on n-bit integers takes O(n) time. (This is true in all the big integer implementations I know about — in Python, for example, adding 1 to a big integer copies the whole thing.)

    Then we have a finite number of O(n) operations happening up to n times. This takes O(n^n) time.

    def divide(x, y):
        assert y >= 1
        if x == 0:
            return 0, 0
        q, r = divide(x // 2, y)
        q *= 2
        r *= 2
        if x & 1:
            r += 1
        if r >= y:
            r -= y
            q += 1
        return q, r
    
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