Stationary points are points on a function where the derivative is zero or undefined, indicating potential local minima, local maxima, or saddle points. These points are critical in optimization problems because they help identify where the function's behavior changes, allowing for the determination of optimal solutions within a defined problem. Understanding stationary points is essential for applying optimality conditions effectively in nonlinear optimization.
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