Numerical Optimization
A.Y. 2025/2026
Learning objectives
To present and to analyze the main algorithms for finding zeros or constrained minimum points of nonlinear functions.
Expected learning outcomes
The ability to apply, implement, and assess algorithms for finding zeros or constrained minimum points of nonlinear functions.
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: 28 hours
Lessons: 28 hours
Professors:
Fierro Francesca, Veeser Andreas
Professor(s)