Extensions
A technical manual for extension packages natively hosted by InfiniteOpt. See the respective guide for more information.
InfiniteInterpolations
Enabled via import InfiniteOpt, Interpolations.
JuMP.value — MethodJuMP.value(vref::GeneralVariableRef,
method::Interpolations.InterpolationType);
[kwargs...])Extend JuMP.value to return vref as an interpolation object from Interpolations.jl, based on method which specifies the interpolation method. Currently supported method(s) are:
linear_interpolationconstant_interpolationcubic_spline_interpolation
All methods support equidistant grid points. However, irregular grid points can only be used with linear_interpolation and constant_interpolation.
JuMP.value(vref::GeneralVariableRef, degree::Interpolations.Degree; kwargs...)Extend JuMP.value to return vref as an interpolation object from Interpolations.jl, based on degree which specifies the degree of interpolation. The currently supported degrees are:
Linear()Constant()Cubic()
All methods support equidistant grid points. However, irregular grid points can only be used with Linear() and Constant().
Examples
julia> zFunc = value(z, cubic_spline_interpolation)
julia> zFunc(5.4);
42.0
julia> zFunc2 = value(z, Cubic())
julia> zFunc2(5.4)
42.0InfiniteMathOptAI
Enabled via import InfiniteOpt, MathOptAI.
MathOptAI.add_variables — Functionfunction MathOptAI.add_variables(
model::InfiniteModel, x::Vector{GeneralVariableRef},
n::Int,
base_name::String,
)::Vector{GeneralVariableRef}Extend MathOptAI.add_variables to properly support infinite variables (i.e., ensure the output variables of a predictor have the necessary infinite parameter dependencies). This method should not be directly used by users, it is used to enable the use of MathOptAI.add_predictor.