Scattered Data Approximation
People
Course director
Assistant
Description
Scattered data approximation is a popular method to fit scattered data. Applications range from computer graphics to data driven partial differential equations and machine learning. In this introductory lecture, the underlying theory and numerical methods are presented. The lecture is accompanied by implementation exercises to put the theory to practice.
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 or oral exam depending on the number of participants
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
