VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.

401-0654-00L 4 Credits
You're viewing possible stale or outdated data. Please check the latest semester for more up-to-date information.

Numerical Methods

Numerische Methoden

Lecturers & Examiners: Prof. em. Dr. Jörg Waldvogel
VVZ CR 3.6

Last Updated: 2026-02-05 14:57:28

Abstract

The course introduces numerical methods according to the type of problemthey tackle. The tutorial will include both theoretical exercises andpractical tasks. The latter will mainly employ on the numerical programming languageMATLAB, some will have to be done in C.Prerequisite is familiarity with basic calculus and linear algebra.

Objective

This course intends to introduce to fundamental numerical methods that form the foundation of numerical simulation in engineering science. Participants should learn about classes of methods, should understand their principles and will be taught how to assess, implement, and apply them. During the course they will become familiar with basic techniques and concepts of numerical analysis. They should be enabled to select and adapt suitable numerical methods for a particular problem.

Content

1. Numerical linear algebra 1.1. Matrix decompositions and solution of linear systems of equations 1.2. Linear least squares problems 1.3. Eigenvalue problems 1.4. Singular value decompositions 1.5. Sparse matrix techniques 2. Numerical transformations 2.1. Fast Fourier transform (FFT) 2.2. Wavelet transforms 2.3. Numerical integral transforms 4. Numerical solution of elliptic boundary value problems 4.1. Finite element methods (FEM) 4.2. Finite volume methods 4.3. Finite difference methods 4.4. Spectral methods 3. Numerical methods for ordinary differential equations 3.1. Single step methods 3.2. Methods for stiff ODEs 3.3. Geometric numerical integration 3.4. Collocation schemes for 2-point boundary value problems 5. Iterative schemes for systems of equations 5.1. Fixed point interation 5.2. Linear iterations for linear systems of equations 5.3. Conjugate gradients (CG) and Krylov subspace methods 5.4. Newton's method and quasi Newton methods

Resources

Lecture Notes

Kein Skript

Literature

M. Hanke Bourgeois: Grundlagen der Numerischen Mathematik und des Wissenschaftlichen Rechnens, BG Teubner, Stuttgart, 2002 P. Deuflhard, A. Hohmann: Numerische Mathematik I. Eine algorithmisch orientierte Einfuehrung (3. Auflage), W deGruyter, Berlin, 2002 P. Deuflhard, F. Bornemann: Numerische Mathematik II. Gewoehnliche Differentialgleichungen (2. Auflage). W DeGruyter, Berlin 2002 Numerical recipes: http://www.nr.com/

General Information

Language
German
Frequency
Yearly recurring

Examination

Type
session examination
Mode
written 105 minutes
Aids
20 Seiten selbstgeschriebener Notizen, keine Kopien, nichtvernetzter Taschenrechner.

Course Components

Type Title Time & Place Hours
lecture Numerische Methoden
  • Mon 08:15-10:00 (NO C 3)
2 h weekly
exercise Numerische Methoden
  • Fri 08:15-09:00 (ETF E 1)
  • Fri 08:15-09:00 (ETZ E 7)
  • Fri 08:15-09:00 (ETZ F 91)
  • Fri 08:15-09:00 (ETZ J 91)
  • Fri 08:15-09:00 (HG D 5.1)
  • Fri 08:15-09:00 (HG D 5.3)
  • Fri 08:15-09:00 (HG F 26.5)
  • Fri 08:15-09:00 (IFW B 42)
  • Fri 08:15-09:00 (LFW E 11)
1 h weekly

Offered In