Bill Baxter wrote:
On Sat, Feb 14, 2009 at 1:03 PM, Andrei Alexandrescu <seewebsiteforem...@erdani.org <mailto:seewebsiteforem...@erdani.org>> wrote:

    bearophile wrote:

        Andrei Alexandrescu:

            Say at some point there are k available (not taken) slots out of
            "n". There is a k/n chance that a random selection finds an
            unoccupied slot. The average number of random trials needed
            to find
            an unoccupied slot is proportional to 1/(k/n) = n/k. So the
            total
            number of random trials to span the entire array is quadratic.
            Multiplying that by 0.9 leaves it quadratic.


        It's like in hashing: if you want to fill 99% of the available space
        in a hash, then you take ages to find empty slots. But if you
        fill it
        only at 75-90%, then on average you need only one or two tries to
        find an empty slot. So your time is linear, with a small
        multiplicative constant. When the slots start to get mostly
        full, you
        change algorithm, copying the empty slots elsewhere.


    Well I don't buy it. If you make a point, you need to be more
    precise than such hand-waving. It's not like in hashing. It's like
    in the algorithm we discuss. If you make a clear point that your
    performance is better than O(n*n) by stopping at 90% then make it. I
    didn't go through much formalism, but my napkin says you're firmly
    in quadratic territory.

Well he has a point that the number of trials required to find an empty depends not on the absolute number of empty items, but only the ratio of empties to fulls. Even your own claim about average number of trials was n/k -- not sure how you got that though.

If you toss a N-side dice hoping for a specific face to show up (and stopping afterwards), how many times do you have to toss it on average? I recall (without being sure) that you need to toss it a number of times proportional to N. Could anyone confirm or deny?

Now, assuming the above is true, say we decide to do the linear search for a fraction f of the n elements in the array. The average number of steps will be:

S = n * (1/n + 1/(n - 1) + 1/(n - 2) + ... + 1/(n - fn))

So we're looking for the harmonic series that does not start from 1, but instead starts from its fn'th term (you drop the first (1-f)n terms). Does it converge? (I don't know.)


Andrei

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