The worst case I know of is when the matrix is solid black except for
the lower right quadrant. In this case, it does break down into O(n^3)
runtime. It took about 8 times as long to run n=4000 as it took for
n=2000.
Don

On Jan 24, 10:29 am, Don <[email protected]> wrote:
> I'm not sure I understand your case. However, I stated that there are
> cases where it is worse than O(N^2). The runtime is highly dependent
> on the contents of the matrix. In many cases it takes fewer than N^2
> iterations. Occasionally it takes more. On average it seems to be
> roughly O(N^2), but again that depends a lot on what is in the matrix.
> I got that result by trying different ways of filling the matrix. I
> tried things like randomly setting each pixel with various
> probabilities, placing random horizontal and vertical segments,
> placing random squares, or placing random filled squares. I did all of
> those both in black on white and white on black. In all of those
> cases, going from n=1000 to n=2000 resulted in a runtime increase of
> less than a factor of 4.
>
> Don
>
> On Jan 23, 10:33 pm, bharat b <[email protected]> wrote:
>
>
>
>
>
>
>
> > @Don: the solution is very nice.. But, how can u prove that it is O(n^2)..
> > for me it seems to be O(n^3) ..
>
> > Ex: nxn matrix .. all 1s from (n/2,0) to (n/2,n/2).
> > all 1s from (n/2,0) to (n,0).
>
> > On Thu, Jan 17, 2013 at 9:28 PM, Don <[email protected]> wrote:
> > > The downside is that it uses a bunch of extra space.
> > > The upside is that it is pretty fast. It only does the time-consuming
> > > task of scanning the matrix for contiguous pixels once, it only
> > > searches for squares larger than what it has already found, and it
> > > doesn't look in places where such squares could not be. In practice it
> > > performs at O(n^2) or better for most inputs I tried. But if you are
> > > devious you can come up with an input which takes longer.
> > > Don
>
> > > On Jan 17, 10:14 am, marti <[email protected]> wrote:
> > > > awesome solution Don . Thanks.
>
> > > > On Thursday, January 17, 2013 12:38:35 AM UTC+5:30, marti wrote:
>
> > > > > Imagine there is a square matrix with n x n cells. Each cell is either
> > > > > filled with a black pixel or a white pixel. Design an algorithm to
> > > find the
> > > > > maximum subsquare such that all four borders are filled with black
> > > pixels;
> > > > > optimize the algorithm as much as possible
>
> > > --

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