The code was built during my work on my thesis for the B.Sc. Mathematics 100% at the University of Heidelberg. The objective of this thesis is to introduce a robust one-dimensional polynomial regression model using the Huber cost function via Convex Quadratic Optimisation and to compare its performance against the non-robust Least Squares approach via a concrete implementation using the qpOASES algorithm for solving the obtained Convex Quadratic Programs, which must be installed beforehand.
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Least Squares and Huber regression via CQPs
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