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Learn how to apply the Wolfram System's recent advances in disciplined convex programming to a multi-objective optimization problem in this 30-minute video. Explore the process of finding a cubic spline function with small data distance and curvature while incorporating positivity, monotonicity, and convexity constraints expressed as norm cone constraints. Dive into topics such as datafitting, spline functions, non-negativity, higher degree polynomials, positive polynomials, and automotive applications. Gain valuable insights into taming your data through constrained spline regression techniques.
