If the objective is to minimize f(x), the constraint is g(x) ∗ occurs when dJ dx = df x dx + 2λg x dg x dx = 0. If x = c, then the optimizer will realize that moving away from the constraint limit...

If the objective is to minimize f(x), the constraint is g(x) <>∗ occurs when dJ dx = df x dx + 2λg x dg x dx = 0. If x = c, then the optimizer will realize that moving away from the constraint limit into the constraint will improve the OF value, unless λ = ∞.