Guys,
Why can't we simply use a hashset for both the questions. hash the arr[i]
and the frequencies in the hash map in the first pass. Then iterate over
the array to find the first arr[i] whose freq is 1 in the hash map. For
second part, keep a count and find the kth element in the array whose freq
in the hashmap is 1.
*Pralay
MS-Comp Sci*
*Univ of California*

On Thu, Feb 7, 2013 at 8:16 PM, bharat b <[email protected]>wrote:

> @sourabh : how do u find whether the element in stream gets repeated in
> heap.--> O(n) time...totally its O(nk) algo ..
>
> If we maintain max-heap with BST property on index, then it would be
> O(nlogk).
>
>
> On Wed, Feb 6, 2013 at 12:25 PM, sourabh jain <[email protected]> wrote:
>
>> for 2nd question you can make a heap with their index as a factor to
>> heapify them. whenever a integer in stream gets repeated you just nead to
>> remove it from heap and heapify it.
>>
>>
>> On Wed, Feb 6, 2013 at 10:00 AM, navneet singh gaur <
>> [email protected]> wrote:
>>
>>> nice algo ankit, so it will be nlogn using O (n) space only. What abt
>>> 2nd Q., which have a big online stream.
>>>
>>> On Mon, Feb 4, 2013 at 9:30 PM, kumar ankit <[email protected]> wrote:
>>> > For 1:
>>> > i think you can use sorting, sort the array and keep the indices of the
>>> > numbers in the sorted list.
>>> > Now traverse the sorted list and  in the sorted list you need to find
>>> the
>>> > unique number with the
>>> > minimum index which is easy to find.
>>> >
>>> > Eg: Array:    5 3 1 2 4 1 4
>>> >       Indices: 0 1 2 3 4 5 6
>>> >
>>> >
>>> > After sorting : Array:    1 1 2 3 4 4 5
>>> >                     Indices:  2 5 3 1 4 6 1
>>> >
>>> > Now you can see the unique number with lowest index is 3(index=1). So
>>> , you
>>> > have your answer.
>>> >
>>> >
>>> > On Mon, Feb 4, 2013 at 3:45 PM, navneet singh gaur
>>> > <[email protected]> wrote:
>>> >>
>>> >> 1. Given a array,find a first unique integer.
>>> >> 2. Integers are coming as online stream,have to find a kth unique
>>> integer
>>> >> till now.
>>> >>
>>> >> For 1.
>>> >>
>>> >> Even we cannot use sorting for solving this as if we sort it than our
>>> >> first number which is non-repetitive changes.
>>> >>
>>> >> The best I am able to do is nlogn using a space of O( n ).
>>> >>
>>> >> For 2. No idea
>>> >>
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>>> >
>>> >
>>> >
>>> >
>>> > --
>>> > Kumar Ankit
>>> > Senior Undergraduate
>>> > Department of Computer Engineering
>>> > Institute of Technology
>>> > Banaras Hindu University
>>> > Varanasi
>>> > Ph: +91 9473629892
>>> >
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>>>
>>>
>>> --
>>> navneet singh gaur
>>>
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>>
>>
>> --
>> Regards,
>> Sourabh Kumar Jain
>> +91-8971547841
>>
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