Bezier curve based objective function

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Could you please help me by explaining the second page of the paper in the link below? Particularly, why the objective function is presented as a sum of the integral of the norm of the derivatives? Also, how can the non-convex constraints be included mathematically in the optimization problem

paper's link: https://arxiv.org/pdf/1909.10219.pdf