I am looking to find a solution to a problem and believe that Numpy may help. I'd appreciate some advice and/or direction and I'll pursue from there.
The problem is that I am looking for a most efficient solution where I have to select 25 solutions where the highest pair-covariance value is the lowest of all possible 25 solution combinations. There are possible 95 solutions to choose from and I have a 95 x 95 matrix of pair-covariance values. Thanks in advance. Chris
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