i dont think its possible for unsorted array in O(logn)..

Regards,
PAYAL GUPTA ,
NIT-B

On Thu, Feb 9, 2012 at 6:02 PM, atul anand <[email protected]> wrote:

> @payal : this will work for only sorted array .... not for unsorted.
>
>
> On Thu, Feb 9, 2012 at 5:50 PM, payal gupta <[email protected]> wrote:
>
>> http://www.geeksforgeeks.org/archives/4722
>> O(logn) soln...
>>
>> Regards,
>> PAYAL GUPTA,
>> NIT-B
>>
>>
>> On Thu, Feb 9, 2012 at 5:33 PM, atul anand <[email protected]>wrote:
>>
>>> ignore my comment...
>>>
>>>
>>> On Thu, Feb 9, 2012 at 4:15 PM, Ashish Goel <[email protected]> wrote:
>>>
>>>> log n is impossible. the other solution i thought was of building a
>>>> tree where each node contains value and its count. and then building a heap
>>>> out of these counts, but this will be overkill.
>>>>
>>>> the fact that rest of the n/2 elements are not unique is the killer in
>>>> the logic otherwise only n/2+1 elements are sufficient
>>>>
>>>> Best Regards
>>>> Ashish Goel
>>>> "Think positive and find fuel in failure"
>>>> +919985813081
>>>> +919966006652
>>>>
>>>>
>>>>
>>>> On Thu, Feb 9, 2012 at 2:53 PM, atul anand <[email protected]>wrote:
>>>>
>>>>> i guess can be done using binary indexed tree.
>>>>>
>>>>>
>>>>> On Thu, Feb 9, 2012 at 2:07 PM, Prakhar Jain <[email protected]>wrote:
>>>>>
>>>>>> But in this post, we don't have prior information about what can be
>>>>>> possible majority element.
>>>>>>
>>>>>> According to my question, we know that either x is the majority
>>>>>> element or there is no majority element.
>>>>>> Can we use that information to reduce complexity to O(log n)..???
>>>>>>
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