Hi Amit,

Just to clarify--I didn't come up with this idea at all.  Rather, I was 
just describing what the winning entry did (and how impressed I was with 
the idea).

Pedro gave a good explanation of why this would work.

Regards,
Mike


On Sunday, May 6, 2012 1:49:01 AM UTC-5, amit jain wrote:
>
> Hi tutufan 
>
> It's kind of weird question but I could resist to ask it. How could you 
> come up with binary search algorithm for this vote distribution.
> Any resource which I'm missing since I believe this kind of application of 
> binary search is not any text book. 
>
> P.S. You have motivated me with your analysis with the eye of amateur (I 
> thought in this manner for Problem 1)
>
> Thanks
> Amit Jain
>
> On Sun, May 6, 2012 at 8:45 AM, tutufan <tutufan@ 
> <[email protected]>xxx>wrote:
>
>> I'm thinking that Yui Yu Ho had the key observation on this above.  Using 
>> those numbers, I think you can liken this to a Birthday Paradox problem 
>> where there are about 2^40 possible days of the year, and 2^500 people at 
>> the party.  The wikipedia page has some approximations that suggest that 
>> the one hits a 50% of finding a matching pair at around 26 million or so, 
>> if I've plugged it in right.
>>
>>
>> On Saturday, May 5, 2012 9:51:59 PM UTC-5, [email protected] wrote:
>>>
>>> Hmm, I thought I had figured out that randomly generating two subsets 
>>> could be as bad as a 1 in k chance of having the same sum, where k is 
>>> the number of distinct sums...this seemed too unlikely to work in 
>>> time. 
>>>
>>> Though perhaps I made an arithmetic error.  More likely there is some 
>>> other observation we can make about the distribution of the sums and 
>>> their multiplicities beyond what the simple pigeonhole principle tells 
>>> us.  That worst case was based on the power means inequality so it 
>>> happens when all sums have the same multiplicity, which for cases I 
>>> tried is definitely not the case.  I didn't figure out how to 
>>> formalize that though. 
>>>
>>> On May 5, 6:08 pm, Lewin Gan <[email protected]> wrote: 
>>> > For A, binary search was the way I approached it as well. This was a 
>>> > pretty straightforward trick, since you want to see if it is possible 
>>> > to distribute the rest of the votes such that all of them go over some 
>>> > amount. 
>>> > 
>>> > For B, you can notice that you want to get to the square as early as 
>>> > possible. That is, you can always wait for the water level to be the 
>>> > appropriate level. That gives a BFS approach using a priorityqueue, by 
>>> > popping off the square with the least time elapsed, and expanding that 
>>> > edge. 
>>> > 
>>> > I wasn't able to solve C, but most people solved the small using brute 
>>> > force (O(2^20)). As for the large, it's impossible to construct a set 
>>> > of 500 with all distinct subset sums (i.e. there are a total of 2^500 
>>> > possible subset sums, but the maximum value we can obtain is 10^12 * 
>>> > 500, thus, by pigeonhole, there must be at least some subset sums that 
>>> > are equal). Thus, since there is such high probability of collisions, 
>>> > randomly generating subsets of a fixed size until finding a match is a 
>>> > valid approach (i.e. if you fix the size to be x, there are a total of 
>>> > (50 ncr x) subsets, so choose x small enough for an exponential 
>>> > solution to run in time, but large enough so your probability of not 
>>> > finding a match decreases quickly enough). 
>>> > 
>>> > Those are pretty short descriptions, but they give the basic ideal of 
>>> > the solution. 
>>> > 
>>> > On May 5, 4:08 pm, tutufan <[email protected]> wrote: 
>>> > 
>>> > 
>>> > 
>>> > > The official analysis hasn't been posted (yet).  Sometimes they 
>>> don't post 
>>> > > one, so I'm not sure whether we get one this time. 
>>> > 
>>> > > In any case, I'm impatient and interested in any insights, so here's 
>>> some 
>>> > > half-baked speculation.  (Disclosure: I didn't successfully answer 
>>> any of 
>>> > > these, so all of this might be crap.) 
>>> > 
>>> > > (spoilers, of course) 
>>> > 
>>> > > For A, I initially conjectured that it was sufficient when looking 
>>> at a 
>>> > > contestant to consider only the "other" contestant having the lowest 
>>> score, 
>>> > > and to take enough votes from them to guarantee that they cannot 
>>> beat us. 
>>> > >  This is false, though, as input like "0 0 100" shows. 
>>> > 
>>> > > The next idea was that maybe it's sufficient to claim 1/N of 2X 
>>> total 
>>> > > score, imagining a sort of global leveling (imagine a landscape 
>>> filling 
>>> > > with water).  That doesn't work either, as some high scorers are 
>>> like 
>>> > > "peaks" that will stick up, ruining the simplicity of this 
>>> calculation. 
>>> > 
>>> > > Later, I had the idea of imagining that I had X buckets of water (or 
>>> > > whatever) to distribute, with the goal of ensuring that my candidate 
>>> > > doesn't end up with less than anyone else.  So, for example, if we 
>>> have "0 
>>> > > 2 5 98", we will have 105 buckets to distribute (based on audience 
>>> vote). 
>>> > >  We first distribute two buckets to "0", to bring it up to the next 
>>> level, 
>>> > > 2.  Then we distribute three buckets to each of the first two, to 
>>> bring 
>>> > > them all up to five.  This leaves us with 97 buckets, which we split 
>>> across 
>>> > > the first three, bringing them up to (5 + 105/3) each.  This 
>>> indicates the 
>>> > > proportion that my candidate must get not to lose. (Corner case: 
>>> with one 
>>> > > candidate, the answer is 0.)  I think this might be correct, but 
>>> didn't 
>>> > > have time to code it. 
>>> > 
>>> > > The #1 rank solution to this problem was submitted in 4:03/4:34, and 
>>> to me 
>>> > > it uses a quite impressive insight.  The idea is that since we're 
>>> trying to 
>>> > > estimate a proportion, and we have a reasonably easy way to check 
>>> our 
>>> > > estimates, and furthermore that the result needs to be really close, 
>>> but 
>>> > > not exact, that we can simply run a binary search to converge on the 
>>> > > answer.  (This also requires some sort of convexity property or 
>>> something, 
>>> > > which happens to hold here.)  Amazing.  Also amazing, or more like 
>>> > > incomprehensible, is being able to read the problem, conceive the 
>>> solution, 
>>> > > type it, compile it, and go through the small/large submit cycles in 
>>> under 
>>> > > five minutes.  Is this the work of an AI?  :-) 
>>> > 
>>> > > For B, this looks like a reasonably straightforward search.  We know 
>>> > > there's no point in visiting any square more than once.  Search 
>>> depth can 
>>> > > be bounded by the best result found at any given point.  Perhaps A* 
>>> or IDA* 
>>> > > could be used to some benefit, but probably it's fast enough 
>>> without.  It 
>>> > > would be nice to figure out the set of initially reachable squares 
>>> and then 
>>> > > chain backwards from the end square, but I don't think this is 
>>> possible, 
>>> > > because of the need to count the clock forward. 
>>> > 
>>> > > For C, I assumed that the small input case could be easily 
>>> brute-forced, 
>>> > > and that the large case could not, and required some sort of number 
>>> theory 
>>> > > insight.  (Why else would this problem be worth so many points?)  It 
>>> would 
>>> > > seem that the large case would take a spectacular amount of time to 
>>> brute 
>>> > > force (O(2^500)), but apparently this was not the case.  I believe 
>>> the 
>>> > > reason is that for the inputs given, a solution was always possible, 
>>> and 
>>> > > could be found within the alotted time (because the solution space 
>>> was 
>>> > > dense with solutions).  Indeed, at least one solution doesn't even 
>>> have any 
>>> > > provision for printing "Impossible".  Needless to say I'm slightly 
>>> annoyed 
>>> > > I didn't catch this.  So, I'm wondering, is this actually a provable 
>>> > > property of sets of distinct whole numbers <= 10**12 having size 
>>> 500, or 
>>> > > was it just luck that these all had a quick solution?  (I also saw 
>>> that a 
>>> > > number of solvers made use of a random number generator--did this 
>>> actually 
>>> > > matter?) 
>>> > 
>>> > > Mike- Hide quoted text - 
>>> > 
>>> > - Show quoted text -
>>
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