http://www.cim.mcgill.ca/~langer/250/2010/lecture24.pdf


On Tue, Jul 5, 2011 at 12:37 PM, vaibhav agarwal <vibhu.bitspil...@gmail.com
> wrote:

> @Dave bt  the heap build operation is O(n) there is a proof fr this
>
>
> On Tue, Jul 5, 2011 at 6:29 AM, saurabh singh <saurab...@gmail.com> wrote:
>
>> Yes I know I said it with regard to the current problem
>>
>> On Tue, Jul 5, 2011 at 8:58 AM, Dave <dave_and_da...@juno.com> wrote:
>>
>>> @Saurabh: Nope. You can construct a heap in-place. But it is not O(n).
>>>
>>> Dave
>>>
>>> On Jul 4, 10:02 pm, saurabh singh <saurab...@gmail.com> wrote:
>>> > Again heap will require extra space.
>>> >
>>> > On Tue, Jul 5, 2011 at 8:25 AM, vaibhav agarwal
>>> > <vibhu.bitspil...@gmail.com>wrote:
>>> >
>>> >
>>> >
>>> >
>>> >
>>> > > what abt this...
>>> > > check length of the  array if same then we make a min heap of both
>>> the
>>> > > arrays which can be done in O(n) and call extraxtmin(). in this way
>>> we can
>>> > > find whether they r equal.
>>> > > othwersie nt equal.
>>> >
>>> > > correct me if i am wrong!!
>>> >
>>> > > On Mon, Jul 4, 2011 at 4:35 AM, saurabh singh <saurab...@gmail.com>
>>> wrote:
>>> >
>>> > >> Lets conclude this post.Shall we?
>>> > >> .An o(n) seems infeasible without any significant extra memory....
>>> > >> If extra memory is allowed,hash maps can be used to bring it down to
>>> > >> o(logn).But hash maps would eat up serious memory if numbers occupy
>>> a large
>>> > >> range.
>>> >
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>>> > --
>>> > Saurabh Singh
>>> > B.Tech (Computer Science)
>>> > MNNIT ALLAHABAD- Hide quoted text -
>>> >
>>> > - Show quoted text -
>>>
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>>
>>
>> --
>> Saurabh Singh
>> B.Tech (Computer Science)
>> MNNIT ALLAHABAD
>>
>>
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