Yes thanx for that...Gene had already mentioned that in somewhat different
way.And now I feel like a floppy disk for not being able to think the
obvious.
Saurabh Singh
B.Tech (Computer Science)
MNNIT
blog:geekinessthecoolway.blogspot.com



On Sun, May 6, 2012 at 10:20 PM, Arpit Gupta <arpitgupta.211...@gmail.com>wrote:

> O(1) base conversion can here be done as follows:-(works only when numbers
> are in range 0 to n^2-1)
> *From base 10 to base n
> *let given base 10 no is m and we need to convert it in base n.
> then base n converted no is (m/n)(m%n) ie 34 base 10 in base 6 is
> (34/6)(34%6) ie 54
>
> Now i think you can yourself write base n to base 10 conversion.
>
>
> On Sun, May 6, 2012 at 11:13 AM, saurabh singh <saurab...@gmail.com>wrote:
>
>> ^ And this completes the solution....
>>
>> Saurabh Singh
>> B.Tech (Computer Science)
>> MNNIT
>> blog:geekinessthecoolway.blogspot.com
>>
>>
>>
>> On Sun, May 6, 2012 at 11:12 AM, Gene <gene.ress...@gmail.com> wrote:
>>
>>> Ah, but you can pick the radix to be n.  Then at most 3 passes will
>>> always sort the array. O(3n) = O(n), so you are done.
>>>
>>> This topic has come up before.  There is code at
>>> http://groups.google.com/group/algogeeks/msg/90ce2df194aba2d2 .
>>>
>>> It is true this code assumes math including mod takes constant time,
>>> but that's normal for RAM computation models used for most algorithms.
>>>
>>> Gene
>>>
>>> On May 5, 4:32 am, saurabh singh <saurab...@gmail.com> wrote:
>>> > After giving some thought,I think even radix sort may not be
>>> sufficient.
>>> > Complexity of radix sort is O(k*n) where k is the number of buckets
>>> > required to sort the given range.
>>> > The number of buckets is proportional to the number of bits required to
>>> > represent the *maximum number in the given range.*For our case the
>>> maximum
>>> > number is O(n^2).Hence *the number of buckets required would be
>>> > proportional to log(n^2) in the worst case.*
>>> > Hence the worst case complexity for the given constraints using radix
>>> sort
>>> > would be *O(n*(log n^2)) = O(n*logn).*
>>> > This is no better than comparision sort.A slight optimization that we
>>> can
>>> > make is to use a higher base which would reduce the number of buckets
>>> > required but would add the cost of converting each number into  the
>>> higher
>>> > base.
>>> > Somehow I am getting convinced worst case O(n) algorithm may not be
>>> > possible.Working on the mathematical proof.
>>> > Saurabh Singh
>>> > B.Tech (Computer Science)
>>> > MNNIT
>>> > blog:geekinessthecoolway.blogspot.com
>>> >
>>> > On Sat, May 5, 2012 at 8:37 AM, saurabh singh <saurab...@gmail.com>
>>> wrote:
>>> > > @cegprakash They are n numbers lying in the range 1 to n^2.Not
>>> necessarily
>>> > > sorted.
>>> > > eg 3 4 1 2 5 8 (6 numbers satisfying the conditions given in the
>>> problem)
>>> > > Saurabh Singh
>>> > > B.Tech (Computer Science)
>>> > > MNNIT
>>> > > blog:geekinessthecoolway.blogspot.com
>>> >
>>> > > On Sat, May 5, 2012 at 5:17 AM, Prakash D <cegprak...@gmail.com>
>>> wrote:
>>> >
>>> > >> The range 1 to n^2 is already sorted
>>> >
>>> > >> On Sat, May 5, 2012 at 12:17 AM, Algobiz <
>>> deepak.arulkan...@gmail.com>
>>> > >> wrote:
>>> > >> > How to sort n numbers in the range of 1 to n^2 in O(n).. Any
>>> ideas?
>>> >
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>
>
>
> --
> Arpit Gupta
> B.Tech Third Year
> Computer Science And Engineering
> M.N.N.I.T Allahabad
> arpitgupta.211...@gmail.com
>
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