Course syllabus

# Multigridmetoder för differentialekvationer

Multigrid Methods for Differential Equations

## FMNN15, 4 credits, A (Second Cycle)

## General Information

## Aim

## Learning outcomes

## Contents

## Examination details

## Admission

## Reading list

## Contact and other information

Multigrid Methods for Differential Equations

Valid for: 2012/13

Decided by: Education Board 1

Date of Decision: 2012-03-22

Main field: Technology.

Compulsory for: Pi3

Elective for: F4

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.

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.

- Convergence of linear iterations in relation to the spectral properties of the differential or difference operator.
- Multigrid iteration, V cycles, W cycles.
- Poisson's equation with multigrid, preconditioning.

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

- Briggs, W.L.: A Multigrid Tutorial. SIAM, 2000, ISBN: 978-0898714623.
- Supplementary material from the department.

Director of studies: Studierektor Anders Holst, Studierektor@math.lth.se

Course coordinator: Gustaf Söderlind, Gustaf.Soderlind@na.lu.se

Course homepage: http://www.maths.lth.se/na/courses/FMNN15/