Constructive Approximation
A.Y. 2024/2025
Learning objectives
To present the main algorithms for approximating a known function and to provide an introduction to the analysis for their convergence speed.
Expected learning outcomes
The ability to judge and to apply the main algorithms for approximating a known function.
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
Second semester
MAT/08 - NUMERICAL ANALYSIS - University credits: 6
Laboratories: 24 hours
Lessons: 36 hours
Lessons: 36 hours
Professors:
Fierro Francesca, Veeser Andreas
Professor(s)