Numerical Optimization

A.Y. 2017/2018
6
Max ECTS
52
Overall hours
SSD
MAT/08
Language
Italian
Learning objectives
To present and to analyze the main algorithms for finding zeros of nonlinear functions
Expected learning outcomes
Know to apply, implement and assess the main algorithms for finding zeros of nonlinear functions.
Course syllabus and organization

Single session

Responsible
Lesson period
Second semester
Course syllabus
Applications of finding zeros. Successive approximations. Newton's method.
Invariances of Newton methods. Local convergence. Newton-like methods.
Applications of constratined optimizations. Saddle points and dual problem.
Uzawa's method.
MAT/08 - NUMERICAL ANALYSIS - University credits: 6
Laboratories: 24 hours
Lessons: 28 hours
Professor(s)
Reception:
on appointment by email
Skype or Microsoft Teams