Warning! The directory is not yet complete and will be amended until the beginning of the term.
250076 VO Approximation Theory (2025S)
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Details
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Wednesday 05.03. 09:45 - 11:15 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 19.03. 09:45 - 11:15 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 26.03. 09:45 - 11:15 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 02.04. 09:45 - 11:15 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 09.04. 09:45 - 11:15 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 30.04. 09:45 - 11:15 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 07.05. 09:45 - 11:15 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 14.05. 09:45 - 11:15 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 21.05. 09:45 - 11:15 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 28.05. 09:45 - 11:15 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 04.06. 09:45 - 11:15 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 11.06. 09:45 - 11:15 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 18.06. 09:45 - 11:15 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 25.06. 09:45 - 11:15 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
Oral exam. If the number of participants is high a written exam has to be considered.
Minimum requirements and assessment criteria
Understanding of the topics. Ability to present the main results orally. Satisfactory answer to questions of the oral exam.
Examination topics
Topics covered during the course
Reading list
Tomas Sauer, Constructive Approximation (Moodle)
Association in the course directory
MANV
Last modified: Mo 24.02.2025 11:48
At its core, approximation theory studies how well functions in a given normed space can be approximated by building blocks from finite-dimensional subspaces. A classical example (which will serve as starting point) is the space of continuous functions on the unit interval , where (trigonometric) polynomials serve as the building blocks.
The course will give an overview of classical approximation theory with an attempt to lead up to contemporary issues. Through this course, students will develop an understanding of key approximation techniques, error analysis, and fundamental theorems that underpin the subject. The material is related to fields such as numerical analysis, functional analysis, and computational mathematics.