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Currently the interface supports uncertainty via elements of the initial state/parameters being "sampleable" (distributions). This is limiting in the sense that it assumes that the dimensions of the initial joint pdf are all independent.
I think the interface would benefit from a more general approach, possibly something similar to the prob_func arg from EnsembleProblem? However, instead of returning a new problem it returns a tuple holding an initial joint pdf draw (u0) and it's associated value f0(u0).
The text was updated successfully, but these errors were encountered:
Currently the interface supports uncertainty via elements of the initial state/parameters being "sampleable" (distributions). This is limiting in the sense that it assumes that the dimensions of the initial joint pdf are all independent.
I think the interface would benefit from a more general approach, possibly something similar to the
prob_func
arg fromEnsembleProblem
? However, instead of returning a new problem it returns a tuple holding an initial joint pdf draw (u0
) and it's associated valuef0(u0)
.The text was updated successfully, but these errors were encountered: