# Strong Duality with quasi convex objective and linear constraints

Take the problem $$\min f(x) \ \ \text{ s.t. } A x - b \leq 0_M$$ where $$f:\mathbb{R}^N \to \mathbb{R}$$ is a quasi convex function, $$A \in \mathbb{R}^{M \times N}$$ $$b \in \mathbb{R}^M$$, and $$0_M$$ is the $$M$$-dimensional zero vector. Are there conditions (without assuming convexity of $$f$$) that assure strong duality?