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 can be attended as a single course.
Course syllabus and organization
Single session
Course syllabus
The syllabus is shared with the following courses:
- [FBQ-43](https://www.unimi.it/en/ugov/of/af20260000fbq-43)
- [FBQ-43](https://www.unimi.it/en/ugov/of/af20260000fbq-43)
MAT/08 - NUMERICAL ANALYSIS - University credits: 6
Laboratories: 24 hours
Lessons: 28 hours
Lessons: 28 hours
Professors:
Fierro Francesca, Veeser Andreas
Professor(s)