Successive parabolic interpolation

Successive parabolic interpolation is a numerical optimization technique used to find the minimum or maximum of a function. This method is particularly useful when the function does not have a closed-form solution or when evaluating the function is computationally expensive. The approach involves constructing parabolas (quadratic functions) to approximate the target function based on function evaluations at a set of points and then refining these approximations in a systematic way.