|Monday||4:30 PM - 6:00 PM||lesson||Lecture Hall SMT.08|
|Thursday||2:00 PM - 3:30 PM||lesson||Lecture Hall SMT.08|
The main purpose is to provide a range of mathematical tools in order to handle the economic phenomena. First of all, some basic notions on functions of several variables are recalled. Then the course aims to give, in the 1st module, some essential knowledge on unconstrained and equality/inequality constrained optimization and, in the 2nd module, an introduction to differential equations.
Functions of several variables
Differential calculus for functions of several variables
Quadratic forms and definite matrices
Convex functions and generalized convexity
Constrained optimization with equality constraints
Lagrangian function and optimality conditions
Constrained optimization with inequality constraints
Ordinary differential equations. Some general aspects
Linear 1st order differential equations
Separable differential equations
A detailed program and the references to the textbooks are on the e-learning page.
The course consists of 36 hour lectures (equivalent to 6 credits).
In addition to the theoretical notions, lectures provide also some adequate set of techniques for solving exercises.
|R.K. SUNDARAM||A first course in Optimization Theory||Cambridge ; New York : Cambridge University Press||1996||978-0-521-49770-1|
|C.P. SIMON, L.E. BLUME||Mathematics for Economists||New York, London: Norton & Company Press, Cambridge||1994||0-393-95733-0|
Written and oral exam.
In the written test, candidates are expected to apply the fundamental notions of the course in order to solve exercises on functions of several variables, optimization problems and differential equations.
The oral examination consists at first in discussing the possible mistakes of the written test, then in investigating the theoretical competence of the candidate; hence, the knowledge of definitions and simple proofs is required.
A minimum mark is needed at the written test for the admittance to the oral discussion.
|Outcomes Exams||Outcomes Percentages||Average||Standard Deviation|
|18||19||20||21||22||23||24||25||26||27||28||29||30||30 e Lode|
Data from AA 2016/2017 based on 17 students. I valori in percentuale sono arrotondati al numero intero più vicino.