Say I wanted to add a variable x which represents an m x n matrix whose elements are constrianed. In JuMP, the code would simply be: @variable(model, 0 <= x[i=1:m, j=1:n] <= 1) However, I am not sure how to translate this into MathOptInterface, which contains features that I need that were not ca…

x = reshape(MOI.add_variables(model, m * n), m, n) cx = MOI.add_constraint(model, MOI.SingleVariable.(x), MOI.Interval(0.0, 1.0)) Or x = [MOI.add_constrained_variables(model, MOI.Interval(0.0, 1.0))(1) for i in 1:m, j in 1:n]

Rewriting JuMP code in MathOptInterface

Specific Domains Optimization (Mathematical)

odow June 25, 2020, 8:50pm 3

Which features of MOI were not carried into JuMP?

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Rewriting JuMP code in MathOptInterface

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