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& possibly expose as a method for GeometryOptimization.jl ; essentially like GPMin but using this superior differentiable Kernel approach.
This would then very naturally lend to more experimentation with the underlying method, play with it on very high dimensional problems (e.g. amorphous materials)
The text was updated successfully, but these errors were encountered:
& possibly expose as a method for GeometryOptimization.jl ; essentially like GPMin but using this superior differentiable Kernel approach.
This would then very naturally lend to more experimentation with the underlying method, play with it on very high dimensional problems (e.g. amorphous materials)
The text was updated successfully, but these errors were encountered: