Scattered Data Approximation
Persone
Docente titolare del corso
Assistente
Descrizione
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.
Obiettivi
This is an introduction to scattered data approximation providing basic concepts and algorithms.
Modalità di insegnamento
In presenza
Impostazione pedagogico-didattica
Direct instruction plus exercises.
Modalità d’esame
Written or oral exam depending on the number of participants
Bibliografia
Approfondimento
- 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.
Programma
- Master of Science in Computational Science, Lezione, A scelta, 1° anno
- Master of Science in Computational Science, Lezione, A scelta, 2° anno
