@Sanjay: Shashank was just reiterating what I said in
http://groups.google.com/group/algogeeks/msg/8590f8a2a8408d93. The
algorithm Shashank described is what I had previously provided code
for in http://groups.google.com/group/algogeeks/msg/735671f6a1e16eec,
with a correction in 
http://groups.google.com/group/algogeeks/msg/6b064081b7ba86f0.
As far as determining the complexity, you can see that both the while
loop and the for loop in my code iterate approximately log_2(quotient)
times, which is what makes the code O(log(quotient)).

Dave

On Aug 19, 6:46 am, Sanjay Rajpal <[email protected]> wrote:
> @Shashank : Would you throw some light on how you determined the complexity
> ?
>
> *Regards
>
> Sanju
>
> Happy to Help :)*
>
> On Fri, Aug 19, 2011 at 2:36 AM, WgpShashank 
> <[email protected]>wrote:
>
>
>
> > We can use bit logic to reduce the time complexity to O(logn) where n is
> > Quotient
>
> > Algorithm will be as follow as we know
>
> > 1. Left shifting an unsigned number by 1 multiplies that number by 2.
> > 2. Right shifting an unsigned number by 1 divides that number by 2.
>
> > Therefore the procedure for the division algorithm, given a dividend and a
> > divisor .
> > core logic will be to left shift (multiply by 2) untill its greater then
> > dividend , then continue this routine with the the difference between the
> > dividend and divisor and divisor till the point where dividend is less than
> > divisor or their difference is zero.
>
> > Lets see one example: dividend=23 divisor=3
>
> > then left shift for 3 i.e 3 will converted to3, 6,12,24,… since 12 <23
> > hence now dividend is 11 and quotient in 4(two time shift operation) now
> > again 3,6,12.. 6<11 hence dividend is 11-6=5 and quotient =4+2=6 now only
> > 3<5 hence remainder =2 quotient =6+1=7 so answer.
>
> > Time Complexity O(logn) Number of bits in Quotient
>
> > Correct me if anything wrong
>
> > *Thanks
> > Shashank Mani
> > Computer Science
> > Birla Institute of Technology Mesra*
>
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