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Numerical Algorithms


This course is about the key numerical algorithms that you should really want to know about. How do TrueType fonts work? What is the secret of Google's success? Why is JPEG compression so efficient? The answers to these questions are clever numerical algorithms, based on Bézier curves, eigenvalues, and the discrete cosine transformation, respectively. We will be able to understand and discuss them once we have gone through some preliminary basics, including Newton's method for finding roots, polynomial interpolation, direct and iterative methods for solving linear systems of equations, and Gaussian quadrature. This course refreshes your basic math skills in calculus and linear algebra and shows how to utilize them for solving several real-world problems, like the ones mentioned earlier. We also provide references to the history of these solutions, going back to Newton, Leibniz, Euler, Gauss and others.




  • Numerical Analysis; Sauer; Pearson, 2012
  • Additional material will be provided through the course homepage.



Hormann K.

Course director

Additional information

Academic year
Master of Science in Artificial Intelligence, Core course, Lecture, 1st and 2nd year

Master of Science in Computational Science, Core course, Lecture, 1st year

Master of Science in Informatics, Elective course, Lecture, 1st and 2nd year

PhD programme of the Faculty of Informatics, Elective course, Lecture, 1st, 2nd and 3rd year