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[FEATURE] Nonlinear Expressions #16
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enhancement
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The above response is insufficient since it heavily relies on private JuMP functions. Thus, our 2 options going forward are as follows:
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For building our own abstraction, AbstractTrees.jl could be useful for building expression trees. |
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Enable nonlinear expression support with
@NLconstraint
,@NLexpression
, and@NLobjective
. This probably will involve making our own graph storage structure to account for different variable types unlike JuMP. This structure will then need to be transcribable such that it can interface with JuMP so we can use JuMP's differentiation tools. Also, it should accommodate extensions.The text was updated successfully, but these errors were encountered: