Really?????????????
the array is infinite length......
what if the sequence is 1,1,1,1,1,1,1,1...........................infinity?
We need to know the max in order the algorithm is terminating..........

On Tue, Oct 25, 2011 at 11:32 AM, Bittu Sarkar <[email protected]> wrote:

> @Saurabh There is no biggest number in an infinite array [?]
>
>
> On 25 October 2011 09:07, saurabh singh <[email protected]> wrote:
>
>> suppose the element doesn't lies in the array and is bigger than the
>> biggest number........:D
>> everything  will fail.......
>>
>>
>> On Mon, Oct 24, 2011 at 9:43 PM, ravindra patel <[email protected]
>> > wrote:
>>
>>> using power of 2 approach doubles the scope of search each time.
>>> How about using approximation. Say I have lower bound lb and upper bound
>>> ub. Now -
>>>
>>> initially lb = 0, ub = 1;
>>>
>>> while (a[ub] < k)
>>> {
>>>     lb = ub;
>>>     ub = (ub*k) / a[ub];
>>> }
>>>
>>> after end of this loop we'll have a lower bound and upper which should
>>> provide a narrow scope.
>>>
>>> Feedback welcome :-),
>>> - Ravindra
>>>
>>> On Mon, Oct 24, 2011 at 7:09 PM, Bittu Sarkar <[email protected]>wrote:
>>>
>>>> @Ankur Don't think there's any major reason for using powers of 2 except
>>>> the fact that computing the powers of 2 can be done very efficiently than
>>>> computing the powers of any other number. Complexity in any case remains 
>>>> the
>>>> same.
>>>>
>>>>
>>>> On 24 October 2011 10:29, rahul sharma <[email protected]> wrote:
>>>>
>>>>> +1 ankur
>>>>>
>>>>>
>>>>> On Mon, Oct 24, 2011 at 1:26 AM, Ankur Garg <[email protected]>wrote:
>>>>>
>>>>>> Use Binary Search
>>>>>>
>>>>>> start = 2^n-1 high =2^n where n=0,1....
>>>>>>
>>>>>> On Mon, Oct 24, 2011 at 12:28 AM, sunny agrawal <
>>>>>> [email protected]> wrote:
>>>>>>
>>>>>>> hint 1: try to find 2 indexes i, j such that a[i] <= K <= a[j]
>>>>>>>
>>>>>>>
>>>>>>> On Sun, Oct 23, 2011 at 11:23 PM, Ankuj Gupta 
>>>>>>> <[email protected]>wrote:
>>>>>>>
>>>>>>>> Given a sorted array of Infinite size, find an element ‘K’ in the
>>>>>>>> array without using extra memory in O (lgn) time
>>>>>>>>
>>>>>>>> --
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>>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> --
>>>>>>> Sunny Aggrawal
>>>>>>> B.Tech. V year,CSI
>>>>>>> Indian Institute Of Technology,Roorkee
>>>>>>>
>>>>>>>
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>>>> --
>>>> Bittu Sarkar
>>>> 5th Year Dual Degree Student
>>>> Department of Computer Science & Engineering
>>>> Indian Institute of Technology Kharagpur
>>>>
>>>>
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>>
>>
>>
>> --
>> Saurabh Singh
>> B.Tech (Computer Science)
>> MNNIT ALLAHABAD
>>
>>
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>
>
>
> --
> Bittu Sarkar
> 5th Year Dual Degree Student
> Department of Computer Science & Engineering
> Indian Institute of Technology Kharagpur
>
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-- 
Saurabh Singh
B.Tech (Computer Science)
MNNIT ALLAHABAD

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