Thats wat I said, it depends. Searching in the interval will compensate
reaching the index earlier.
So both are almost equivalent.

Sanju
:)



On Fri, Aug 19, 2011 at 11:12 AM, sagar pareek <[email protected]>wrote:

> Well i think it depends...
> because range of   x and 10x is more than  i and 2i
> no doubt multiple of 10 will give us early index but then to find number in
> b/w indexes is more than of 2^i
>
>
> On Fri, Aug 19, 2011 at 11:38 PM, Sanjay Rajpal <[email protected]> wrote:
>
>> Multiplication by 10 or 2^i , it depends.
>>
>> Multiplication by 10 will be faster, I think.
>>
>> Sanju
>> :)
>>
>>
>>
>> On Fri, Aug 19, 2011 at 11:05 AM, sagar pareek <[email protected]>wrote:
>>
>>> hmmm ok
>>> i found a solution in which index searching is done by 2^i
>>> which is more optimal
>>> multiplication by 10 or 2 power i ??    i=0,1,2,3.....
>>>
>>> On Fri, Aug 19, 2011 at 11:30 PM, Sanjay Rajpal <[email protected]>wrote:
>>>
>>>> See at each step you are multiplying the index to be compared by
>>>> 10(say), this increase is exponential.
>>>> Therefore the search is exponential and complexity is log n. Base
>>>> depends on the factor by which you are multiplying for the next index to be
>>>> compared.
>>>>
>>>> Sanju
>>>> :)
>>>>
>>>>
>>>>
>>>> On Fri, Aug 19, 2011 at 10:57 AM, sagar pareek 
>>>> <[email protected]>wrote:
>>>>
>>>>> @Sanjay
>>>>> yeah its the very basic idea that comes in mind
>>>>> but is your index searching log n ?
>>>>> i think no !!
>>>>> if yes then tell me how?
>>>>>
>>>>>
>>>>> On Fri, Aug 19, 2011 at 11:24 PM, Sanjay Rajpal <[email protected]>wrote:
>>>>>
>>>>>> I forgot to mention one thing, at each comparison, store the index at
>>>>>> which we searched previously.
>>>>>>
>>>>>> Sanju
>>>>>> :)
>>>>>>
>>>>>>
>>>>>>
>>>>>> On Fri, Aug 19, 2011 at 10:53 AM, Sanjay Rajpal <[email protected]>wrote:
>>>>>>
>>>>>>> You can do it very easily.
>>>>>>>
>>>>>>> I assume array is sorted and contains integers.
>>>>>>>
>>>>>>> Say start at position 1, if value at that index is equal to the value
>>>>>>> to be found, return index.
>>>>>>> else if value at that index is greater than the value to be found, we
>>>>>>> got an interval to search in.
>>>>>>> else(value at that index is smaller than the value to be found)
>>>>>>>     search at location 10,then 100, then 1000 till you find an
>>>>>>> interval.
>>>>>>>
>>>>>>> Once you find an interval, perform Binary Search on this and get
>>>>>>> element in O(log n).
>>>>>>>
>>>>>>> Got it ?
>>>>>>>
>>>>>>> Sanju
>>>>>>> :)
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> On Fri, Aug 19, 2011 at 10:48 AM, sagar pareek <
>>>>>>> [email protected]> wrote:
>>>>>>>
>>>>>>>> HI,
>>>>>>>>
>>>>>>>> I have encountered a problem :-
>>>>>>>>
>>>>>>>> You have an array of  *UNKNOWN  *length . And you have to find an
>>>>>>>> element in  O(log(n)) time without using any extra space.
>>>>>>>>
>>>>>>>> --
>>>>>>>> **Regards
>>>>>>>> SAGAR PAREEK
>>>>>>>> COMPUTER SCIENCE AND ENGINEERING
>>>>>>>> NIT ALLAHABAD
>>>>>>>>
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>>>>>
>>>>>
>>>>>
>>>>> --
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>>>>> SAGAR PAREEK
>>>>> COMPUTER SCIENCE AND ENGINEERING
>>>>> NIT ALLAHABAD
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>>>
>>>
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>>> SAGAR PAREEK
>>> COMPUTER SCIENCE AND ENGINEERING
>>> NIT ALLAHABAD
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>
>
>
> --
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> SAGAR PAREEK
> COMPUTER SCIENCE AND ENGINEERING
> NIT ALLAHABAD
>
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