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Works on a minimal example: import JuMP
import SNOPT7
opt_model = JuMP.Model(SNOPT7.Optimizer)
x = JuMP.@variable(opt_model, [1:10])
y = JuMP.@variable(opt_model)
JuMP.@objective(opt_model, Min, (x .- 1)' * x)
JuMP.@NLconstraint(opt_model, x[1] == y)
JuMP.optimize!(opt_model) |
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Should fix #5. I think these updates will allow the use of JuMP.@objective to represent linear, quadratic objective functions. Needs more testing.