
Ah, but which k elements? You won't know until you've drained your entire stream! Dan Steve Downey wrote:
Does the answer change if the data source isn't a list, already in memory, but a stream? That is, will the sort end up pulling the entire stream into memory, when we only need k elements from the entire stream.
Interestingly, this is almost exactly the same as one of my standard interview questions, with the main difference being looking for the k elements closest to a target value, rather than the smallest. Not that it really changes the problem, but recognizing that is one of the things I'm looking for.
On 4/12/07, *apfelmus*
mailto:apfelmus@quantentunnel.de> wrote: raghu vardhan
mailto:mrvr84@yahoo.co.in>: > So, any algorithm that sorts is no good (think of n as huge, and k small). With lazy evaluation, it is!
http://article.gmane.org/gmane.comp.lang.haskell.general/15010
ajb@spamcop.net mailto:ajb@spamcop.net wrote: > The essence of all the answers that you've received is that it doesn't > matter if k is small, sorting is still the most elegant answer in Haskell.
(It's not only most elegant, it can even be put to work.)
> The reason is that in Haskell, a function which sort function will produce the > sorted list lazily. If you don't demand the while list, you don't perform > the whole sort. > > Some algorithms are better than others for minimising the amount of > work if not all of the list is demanded, but ideally, producing the > first k elements will take O(n log k + k) time.
You mean O(k * log n + n) of course.
Regards, apfelmus
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