Scattered Data Approximation
People
Course director
Assistant
Description
Scattered data approximation is a popular method to define an interpolant on scattered data. Applicationw range from computer graphics to solving data driven partial differential equations or solving classification problems. In this lecture, the underlying theory and numerical methods are presented.
Objectives
This is an introduction to scattered data approximation providing basic concepts and algorithms.
Teaching mode
In presence
Learning methods
Direct instruction plus exercises.
Examination information
Written exam
Bibliography
Deepening
- Fasshauer, Gregory E. Meshfree Approximation Methods with Matlab: Meshfree Approximation Methods with Matlab. WORLD SCIENTIFIC, 2007.
- Wendland, Holger. Scattered Data Approximation: Scattered Data Approximation. Cambridge University Press, 2004.
Education
- Master of Science in Computational Science, Lecture, Elective, 1st year
- Master of Science in Computational Science, Lecture, Elective, 2nd year
- PhD programme of the Faculty of Informatics, Lecture, Elective, 1st year (2.0 ECTS)
