Tame Your Data - Constrained Spline Regression in the Wolfram System

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.

Introduction
About Continental
Background
Datafitting
Spline Function
Non Negativity
Higher Degree Polinomial
Positive Polinomial
Automotive Application
Summary