Hi, To me, the small data set is more a sampling of the problem, whereas the large data set is the actual solving of the problem. In other words, the large data set tests for correctness (only allow 1 submission for judgement) and efficiency (large input range), whereas the small data doesn't do neither - well, it does, be in a smaller scale.
So, you may think of the large data set as the harder version of the small, both in terms of correctness (1 go vs. fixable) and efficiency (large vs small input ranges). And, by the way, you can *still* improve your algorithm if it is found inefficient, but you only have 8 minutes to do that. regards, yiuyuho On May 21, 1:25 am, Debashis Roy <[email protected]> wrote: > Hi, > > The format of the contest doesn't look very fair, given the fact that a > person can submit the small data set multiple times in case of incorrect > result but cannot re-submit the large data set in case of time outs. > > To me, the small data set is more to check the accuracy of the algorithm > whereas the large data set is to check the efficiency of the algorithm. > > If that is true then what gcj is saying translates to "we will allow you to > correct your algorithm if you have an incorrect algorithm, but we will not > allow you to improve upon your algorithm if you have an inefficient > algorithm!!!" > > Any particular reason for this? :-) > > Thanks, > > Debashis > > _________________________________________________________________ > Climate, controversies and the changing signatures of > naturehttp://green.in.msn.com/ > > -- > You received this message because you are subscribed to the Google Groups > "google-codejam" group. > To post to this group, send email to [email protected]. > To unsubscribe from this group, send email to > [email protected]. > For more options, visit this group > athttp://groups.google.com/group/google-code?hl=en. -- You received this message because you are subscribed to the Google Groups "google-codejam" group. To post to this group, send email to [email protected]. To unsubscribe from this group, send email to [email protected]. For more options, visit this group at http://groups.google.com/group/google-code?hl=en.
