How to evaluate a JuMP model given a candidate solution?

Specific Domains Optimization (Mathematical)
3

Another option is this

julia> model = Model();

julia> @variable(model, x)
x

julia> @objective(model, Min, 2x^2 + x + 0.5)
2 x² + x + 0.5

julia> f = objective_function(model)
2 x² + x + 0.5

julia> point = Dict(x => 2.0)
Dict{VariableRef, Float64} with 1 entry:
  x => 2.0

julia> value(f, x -> point[x])
10.5
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