Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

Queste informazioni sono destinate esclusivamente agli studenti e alle studentesse già iscritti a questo corso.
Se sei un nuovo studente interessato all'immatricolazione, trovi le informazioni sul percorso di studi alla pagina del corso:

Laurea magistrale in Mathematics - Immatricolazione dal 2025/2026.

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

CURRICULUM TIPO:

2° Year   activated in the A.Y. 2016/2017

ModulesCreditsTAFSSD
6
B
MAT/05
activated in the A.Y. 2016/2017
ModulesCreditsTAFSSD
6
B
MAT/05
Modules Credits TAF SSD
Between the years: 1°- 2°
One course to be chosen among the following
Between the years: 1°- 2°
Between the years: 1°- 2°
Other activitites
4
F
-

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S001106

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

MAT/05 - MATHEMATICAL ANALYSIS

Period

I sem. dal Oct 3, 2016 al Jan 31, 2017.

Learning outcomes

In this course we will provide an introduction to Convex Analysis in finite and infinite-dimensional spaces. We will show also some applications to problems of nonlinear optimizations and control theory arising from physics and economics.

Program

Review of weak topology on Banach spaces: convex sets, Minkowski functional, linear continuous operators, weak topology, separation of convex sets.

Convex functions: general properties, lower semicontinuous convex functions, convex conjugate, subdifferential in the sense of Convex Analysis. Introduction to Calculus of Variations.

Generalizations of convexity: differential calculus in Hilbert and Banach spaces, proximal and limiting subdifferential, the density theorem, sum rule, chain rule, generalized gradient in Banach space.

Introduction to control theory: multifunctions and trajectories of differential inclusions, viability,
equilibria, invariance, stabilization, reachability, Pontryagin Maximum Principle, necessary conditions
for optimality.

Application to optimization problems arising from physical or economic models.

Reference texts
Author Title Publishing house Year ISBN Notes
Ivar Ekeland and Roger Témam Convex Analysis and Variational Problems SIAM 1987 0-89871-450-8
F.H. Clarke, Y.S. Ledyaev, Ronald J. Stern, P.R. Wolenski Nonsmooth Analysis and Control Theory Springer-Verlag New York Inc. 1998 0387983368
Frank H. Clarke Optimization and Nonsmooth Analysis SIAM 1990 0-89871-256-4

Examination Methods

Written and oral examination. There will be also two partial tests during the course.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE