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Re:Automatic Differentiation in Machine Learning: A Survey [... by profquail on Tuesday November 20, 2018 @06:56AM (#18493182)
What you’re describing sounds like Abstract Interpretation[1], a technique used in static analyzers and compilers (e.g. for bounds-check elimination). You can pick any abstract domain you want, but the more complex the domain — i.e., the more complex/precise your tracking of the possible values associated with each variable — the longer it takes for the analysis to run.

[1]: https://en.m.wikipedia.org/wiki/Abstract_interpretation

Re:Automatic Differentiation in Machine Learning: A Survey [... by edflsafoiewq on Tuesday November 20, 2018 @12:55PM (#18495882)
Abstract interpretation would be the equivalent of symbolic differentiation in this analogy.