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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 — Method
JuMP.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_interpolation
  • constant_interpolation
  • cubic_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)
42.0
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InfiniteMathOptAI

Enabled via import InfiniteOpt, MathOptAI.

MathOptAI.add_variables — Function
function 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.

source