import JuMP import Gurobi function objf(x, y) return (y - 2)^2/4 - x * y end B = JuMP.Model(() -> Gurobi.Optimizer()); # A bilinear program JuMP.@variable(B, 0 <= x <= 1); JuMP.@variable(B, y); # this variable is free JuMP.@objective(B, Min, objf(x, y)); JuMP.optimize!(B); JuMP.termination_status(B)…

Fixed in Gurobi_jll@12.0.2 julia> using JuMP, Gurobi julia> begin model = direct_model(Gurobi.Optimizer()) @variable(model, 0 <= x <= 1) @variable(model, y) @objective(model, Min, 0.25 * y^2 - x * y) optimize!(model) solution_summar…

Gurobi12 Reports unbounded to a nonconvex QP which is actually bounded

Specific Domains Optimization (Mathematical)

WalterMadelim March 23, 2025, 11:53pm 14

I’ve learned this. But Gurobi12 reports OPTIMAL to an NLP which is actually UNbounded.

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Gurobi12 Reports unbounded to a nonconvex QP which is actually bounded

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