Thank you, Eugene, for this code.

As you take the square root of Kelly, does that mean you give it about half 
the weight of PI? or less?

Using 'Divide & Conquer' I have checked and compared it with my code and 
indeed your CPI is more reliable in the sense that the 'Worst' heat maps 
are less blue.

In fact I have never seen a 'brighter' 'Worst' heat map of the parameter 
Entry against Exit.

The 'Best' heat maps were not very different, however.

My interpretation of this would be that the optimizer follows the promising 
paths in a better way. (?)

As to the interpretation of the 'Worst' heat maps: If a 'Worst' heat map is 
mostly deep blue, then some of the other parameters are crucial for the 
outcome. Is this conclusion correct?

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