👉 In mathematical optimization, a semiproneness property is a condition that optimizes the objective function of a convex optimization problem. It means that if you add a small positive constant to one or both sides of an inequality, then the solution will still be a global minimum. For example, consider a convex quadratic programming problem where we want to minimize $f(x) = ax^2 + bx + c$, subject to the constraint $g(x) = x^3$. If we add a small