A self-optimized box-packing algorithm???

Case number:845799-2008030
Opened by:Seagat2011
Opened on:Saturday, August 17, 2019 - 19:28
Last modified:Saturday, August 17, 2019 - 19:28

In a recent paper, "Asymptotically consistent prediction of extremes in chaotic systems:1 stationary case" published by M. LuValle of Rutgers, on Aug 3 2019, goes on to disclose an algorithm to "predict" the onset of extreme behavior in real world chaotic systems like those used to model weather and the stock market.[1]

M. LuValle's governing equation, box_dim(a)=lim epsilon -> 0 of { LOG(Number_epsilon) / -LOG(epsilon) }, where Number_epsilon is the number of cubes with side epsilon that it takes to cover A -- this is a self-optimized box-packing algorithm that need not be expressed as a triple (3) integral!

Thereby phi,psi,omega angles can be expressed as extremum or 'inflection' point whose asymptotic trigger is a new 'a' whose size, dimension and or volume deviates from the moving average of all pre-calculated 'a' values!

...is this right?!

[1] - Google

(Sat, 08/17/2019 - 19:28  |  0 comments)


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