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>I wonder if there isn't some simpler aproach that can give us 80% of
>the benefit with 20% of the effort and can be tested empirically.  For
>example safety stops for no stop dives can significantly reduce
>doppler scores.  Maybe something similar can be done for stop dives
>and then tested empiracly.

Or, once many of these much more complicated simulations are run on
the supercomputer, a much simpler algorithm can be devised to closely
fit the calculated data...  This is all depending on the belief that
these equations aren't chaotic.

It sounds like the real models incorporate a VAST array of variables
into the calculations.  If some of these varibles aren't (i.e. they're
fixed) then, for a large number of problems the code could be
"recompiled" into a much quicker piece of code requiring much less
compute power.  For example, today I will run the code using 80
degrees as water temperature (because I'm on vacation and the water in
Cozumel is always 80-84 degrees).  I read someones MS thesis (Andy
Berlin) on this very idea a while back.

In the simplest case, a large set of lookup tables could be devised
with an interpolation algorithm, but I'd opt for the prior idea.

-Carl-

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