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cubefox
5 months ago
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Derivatives, Gradients, Jacobians and Hessians
At least it will catch those valleys that are wider than the sampling resolution.
xigoi
5 months ago
[–]
Yeah. The problem is that the number of samples needed is exponential in the dimension, so in a 1000-dimensional space, you won’t even be able to subdivide it into 2×…×2.
cubefox
5 months ago
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Damn.
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