Course syllabus

Multigridmetoder för differentialekvationer
Multigrid Methods for Differential Equations

FMNN15, 4 credits, A (Second Cycle)

Valid for: 2015/16
Decided by: Education Board B
Date of Decision: 2015-04-16

General Information

Main field: Technology.
Elective for: F4, F4-bs, Pi4
Language of instruction: The course will be given in English on demand


Many important phenomena in science and engineering are described by partial differential equations. When these equations are solved numerically one uses discretization methods, which give rise to (often enormously) large systems of equations. It is not unusual that these systems have several million unknowns. Due to the size of the systems it is necessary to use iterative methods, with multigrid methods belonging to the most efficient techniques.

The course builds directly on FMNN10 Numerical Methods for Differential Equations, and is focused on multigrid methods for elliptic equations. The aim is to give an elementary introduction to multigrid, starting from the self-adjoint two-point boundary value problems studied in FMNN10. Then the technique is applied to more general elliptic equations, and different variants such as V- and W-iterations are used.

Learning outcomes

Knowledge and understanding
For a passing grade the student must

- understand in what contexts multigrid methods can be applied, as well as their connection to the numerical solution of elliptic partial differential equations.

- understand the ideas behind different variants of multigrid, such as V- and W-iterations.

- have a basic understanding of the convergence of multigrid methods.

Competences and skills
For a passing grade the student must

- be able to implement a simple multigrid method.

- be able to interpret the convergence of multigrid iterations in practice and assess the results.

- be able to solve simple elliptic applied problems with a multigrid method.

Judgement and approach
For a passing grade the student must

- be a able to describe method, implementation and results in a well-structured manner, using correct terminology and clear logic.


Examination details

Grading scale: UG
Assessment: Computer project with report. The project aims at the solution of a large computational problem (e.g. determining the electrical potential in a three dimensional region) using elementary multigrid methods.


Required prior knowledge: FMNN10 Numerical Methods for Differential Equations.
The number of participants is limited to: No
The course overlaps following course/s: FMN130

Reading list

Contact and other information

Director of studies: Studierektor Anders Holst,
Course coordinator: Gustaf Söderlind,
Course homepage:
Further information: The course is given every second year. It will (after this year) be offered next time during the academic year 2017-18.