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N dimensional gaussian

How do you make an N-dimensional array representing a function f(i,j,k,...)?

 The actual reason is the following: I have coded up some peak-search algorithms that act on 128 free parameters. The algo will eventually work on measured data. But as a test case for the algo, I want to first test it on a known function -- I chose a gaussian, but it doesn't matter as long as it has a peak. When I feed my peak-search function this N-dimensional gaussian it should climb to the top.

 

In this case I think you do not need (will not have) all elements of the array. Nobody scans for _all_ possible combinations of parameter values. When algorithm quieries for the function at specific point, calculate function at this point (test function), setup and run experiment with these parameters (experiment with feedback) or load measured data (previous experiment).

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