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Scientific Advance in Modelling Chaotic Flow (???)

Stephen3141

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Well, yes, and no.

There seems to be an advance in the efficiency of data structure design, in these
simulations.

But, there is still the unknown problem that no one has much of an idea how
large-scale chaotic behavior produces small-scale chaotic behavior.

The general observation of Computer Science algorithm designers, is STILL that
very few complex problems in nature, can be described by closed form mathematical
equations. And so, these problems have to be SIMULATED with hundreds of different
specific (related) experiments, to get some sort of statistical probability of an
outcome. And, this method tends to be MASSIVELY computationally intense (many
of these problems remain computationally intractable).
 
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Mark Quayle

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Well, yes, and no.

There seems to be an advance in the efficiency of data structure design, in these
simulations.

But, there is still the unknown problem that no one has much of an idea how
large-scale chaotic behavior produces small-scale chaotic behavior.

The general observation of Computer Science algorithm designers, is STILL that
very few complex problems in nature, can be described by closed form mathematical
equations. And so, these problems have to be SIMULATED with hundreds of different
specific (related) experiments, to get some sort of statistical probability of an
outcome. And, this method tends to be MASSIVELY computationally intense (many
of these problems remain computationally intractable).
I agree. It seems to me like at best --that is, as far as SOLVING the problem-- this is kicking the can down the road.

In the nature of modern Journalism, though, this rings about the same as the hundreds of 'Groundbreaking' (or whatever spectacular word they use) headlines one sees daily that supposedly turn science on its head, or solve the mysteries of the universe, or are the final best engine, or whatever. It gets old.
 
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