 First-order optimality condition

At an interior local extremum of a differentiable function, its gradient is zero: restricting the function to every line through the point shows that all directional derivatives vanish. This is only a necessary condition in general. For a strictly concave function, an interior stationary point is the unique global maximizer on its convex domain. Constrained or boundary optima instead need conditions adapted to their feasible directions.