I think this one might have some optimal substructure, though it's not
exactly clear what that may be.  I'll give it some thought.

On Dec 1, 6:26 am, "smartdude" <[EMAIL PROTECTED]> wrote:
> Reading about hamming distance and clustering methods might help.
>
> bullockbefriending bard wrote:
> > A single 6 Pick bet looks like this:
>
> > RACE1   RACE2    RACE3    RACE4   RACE5   RACE6
> > runner1 / runner 2 / runner 3 / runner4 / runner5 / runner6  - $amount
>
> > e.g. we might have:
>
> > 5 / 3 / 11 / 7 / 1 / 9  - $50  (5 to come 1st or 2nd in Race1, 3 to
> > come first or 2nd in Race 2, etc.)
> > 7 / 3 / 11 / 7 / 1 / 9  - $50
> > 5 / 3 / 11 / 14 / 1 / 9  - $50
> > 7 / 3 / 11 / 14 / 1 / 9  - $50
>
> > The totalizator system allows us to merge or group these four bets as
> > follows:
>
> > 5 + 7 / 3 / 11 / 7 + 14 / 1 / 9 - $50  ($200 total)
>
> > This method of expressing multiple bets in one line is advantageous
> > because we may have many thousands of combinations we wish to bet and
> > only a limited amount of time in which to bet them.
>
> > There are up to 14 horses in each race, so 7,529,536 possible 6 Pick
> > bets. In practice, one might wish to bet (say) 15,000 combinations out
> > of these 7.5 million. However, it would be very nice to be able to
> > *optimally* merge (as shown above) these 15,000 combinations so that
> > they might fit on (say)  2,000 betting tickets instead of trying to
> > write out 15,000 single tickets.
>
> > To keep things simple, let's assume that all single bets are for the
> > same amount. (In practice, however, this is not so.)
>
> > Now, it's certainly possible to go about this via brute force
> > iteration, but I would really appreciate it if anyone with a CS
> > background could point me toward a smarter plan of attack. I have
> > perused Skiena's Algorithm Handbook and various websites and can't seem
> > to find an analogous problem. I'm hoping this is just my ignorance and
> > that my brief exposition rings a bell for someone here.


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