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Selected Topics in Mathematical Optimization

Edition 2021-2022

Michiel Stock

With help from Maxime Van Haeverbeke and Kirsten Van Huffel.

This repository contains the notes and exercises of the optimization course given in the Masters of Bioinformatics and Bioscience Engineering at Ghent University.

This course aims to give students a general overview of the rich field of mathematical optimization. This course will put a particular emphasis on practical implementations and performance. After this course, students should be able to formulate problems from computational biology as optimization problems and interpret, understand, and implement new optimization algorithms.

As of 2020, we have moved this course from Python to the new Julia programming language. This is not because we are too cool for Python (though we are too cool for Python