can any one expain for 2-D??

> On Sun, Jun 24, 2012 at 3:24 PM, Hassan Monfared <[email protected]>wrote:
>
>> + Prakhar Jain
>>
>>
>> On Sun, Jun 24, 2012 at 2:03 PM, Prakhar Jain <[email protected]>wrote:
>>
>>> The idea behind this O(log n) Divide & conquer algorithm is they assumed
>>> that element before the first element and after the last element is
>>> -infinite. So, they can they always pick the locally rising element ;since,
>>> even if the array continues to increase in that half, the last element can
>>> be the peak element. So, the peak element is always there in the array even
>>> if it is sorted in any order.
>>>
>>>
>>> --
>>> Prakhar Jain
>>> IIIT Allahabad
>>> B.Tech IT 3rd Year
>>> Mob no: +91 9454992196
>>> E-mail: [email protected]
>>>           [email protected]
>>>
>>>
>>>
>>> On Sun, Jun 24, 2012 at 2:26 PM, adarsh kumar <[email protected]>wrote:
>>>
>>>> ahh yes, as prakhar says, if the array is bitonic, my approach will
>>>> work for O(log n).
>>>>
>>>>
>>>> On Sun, Jun 24, 2012 at 1:57 AM, Prakhar Jain <[email protected]>wrote:
>>>>
>>>>> I think it can't be done in O(log n) as per given problem constraints.
>>>>> It can be done in O(log n) if additional information that "array is
>>>>> bitonic" is given.
>>>>>
>>>>> --
>>>>> Prakhar Jain
>>>>> IIIT Allahabad
>>>>> B.Tech IT 3rd Year
>>>>> Mob no: +91 9454992196
>>>>> E-mail: [email protected]
>>>>>           [email protected]
>>>>>
>>>>>
>>>>>
>>>>> On Sun, Jun 24, 2012 at 1:45 AM, Sourabh Singh <
>>>>> [email protected]> wrote:
>>>>>
>>>>>> @adarsh kumar
>>>>>>
>>>>>> are u sure it's worst case will be O (log n) ??
>>>>>> i think iff array is fully sorted O(n) will be required to say "NO
>>>>>> such element present"
>>>>>>
>>>>>> On Sat, Jun 23, 2012 at 1:11 PM, adarsh kumar <[email protected]>
>>>>>> wrote:
>>>>>> > This is a variation of binary search, the difference being that we
>>>>>> have to
>>>>>> > search for an element that is greater than its immediate left one
>>>>>> and lesser
>>>>>> > than its immediate right one. Just implement binary search with
>>>>>> these
>>>>>> > additional constraints, thereby giving O(log n).
>>>>>> > In case of any difficulty/error, let me know.
>>>>>> >
>>>>>> > On Sun, Jun 24, 2012 at 1:27 AM, Hassan Monfared <
>>>>>> [email protected]>
>>>>>> > wrote:
>>>>>> >>
>>>>>> >> Given an array of integers find a peak element of array in log(n)
>>>>>> time.
>>>>>> >> for example if A={3,4,6,5,10} then peak element is 6  ( 6>5 & 6>4
>>>>>> ).
>>>>>> >>
>>>>>> >> Regards.
>>>>>> >>
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>
> --
>
> Anshul Agarwal
> Computer Science and Engineering
> MNNIT Allahabad
>
> The only remain constant in life is "change".
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