Aarhus, Denmark

Matrix Computations

This course provides an introduction to matrix computations, the study of algorithms for finding numerical solutions of linear algebra problems.
Majority of mathematical models cannot be solved exactly and have to be approximated. Most approximation techniques lead construction of a system of linear algebraic equations. These systems are usually large and have to be solved numerically. The study of their solution is fundamental for many branches of computational mathematics, from optimization to PDEs, statistics and data science.

Course leader

Sergey Lapin

Target group

Bachelor's level

Fee info

EUR 138: EU/EEA citizens
EUR 1270: NON-EU/EEA citizens

Scholarships

No scholarships available