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This entry is from Summer semester 2021 and might be obsolete. You can find a current equivalent here.

Approximation Theory
(dt. Approximationstheorie)

Level, degree of commitment Specialization module, compulsory elective module
Forms of teaching and learning,
workload		 Lecture (4 SWS), recitation class (2 SWS),
270 hours (90 h attendance, 180 h private study)
Credit points,
formal requirements		 9 CP
Course requirement(s): Successful completion of at least 50 percent of the points from the weekly exercises.
Examination type: Written or oral examination
Language,
Grading		 German,
The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Mathematics.
Duration,
frequency		 One semester,
Regularly alternating with other specialization modules in angewandter Mathematics
Person in charge of the module's outline Prof. Dr. Stephan Dahlke

Contents

function spaces, best approximation, approximation with polynomials, splines and trigonometric functions, smoothness modules and K-functions


Qualification Goals

The students shall

  • learn to recognize and assess the relevance of approximation theory for practical problems, e.g. from numerical analysis, and to acquire the approximation theoretical tools to solve these problems,
  • learn how methods of linear algebra, analysis and numerical analysis interact,
  • Re-evaluate knowledge from the basic modules and some advanced modules,
  • to recognise the relations of approximation theory to other areas of mathematics and to other sciences,
  • practice mathematical working methods (development of mathematical intuition and its formal justification, training of the ability to abstract, proof techniques),
  • improve their oral communication skills in the exercises by practicing free speech in front of an audience and during discussion.

Prerequisites

None. The competences taught in the following modules are recommended: either Foundations of Mathematics and Linear Algebra I and Linear Algebra II or Basic Linear Algebra, either Analysis I and Analysis II or Basic Real Analysis.


Applicability

Module imported from M.Sc. Mathematics.

It can be attended at FB12 in study program(s)

  • B.Sc. Mathematics
  • B.Sc. Business Mathematics
  • M.Sc. Data Science
  • M.Sc. Computer Science
  • M.Sc. Mathematics
  • M.Sc. Business Mathematics
  • LAaG Mathematics

When studying LAaG Mathematics, this module can be attended in the study area Advanced Modules.

The module is assigned to Applied Mathematics. Further information on eligibility can be found in the description of the study area.


Recommended Reading

  • DeVore, R., Lorenz, G.G., Constructive Approximation, Springer, New York, 1993
  • Powell, M.J.D., Approximation Theory and Methods, Cambridge Univer-sity Press, 1981
  • Cheney, W., Light, W., A Course on Approximation Theory, Brooks/-Cole Publishing Company, 1999



Please note:

This page describes a module according to the latest valid module guide in Summer semester 2021. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.