OVERVIEW

The course is an introduction to the Numerical Analysis, and it consists in the description of strategies and algorithms for basic mathematical problems solution. Particular attention is  paid to the use of computer and to the analysis  of the numerical problems linked to it. Complete the course some laboratory lessons, where numerical techniques are translated into MatLab Programs for solving simple mathematical problems, with particular attention to the interpretation of the numarical results.

AIMS AND CONTENT

LEARNING OUTCOMES

Knowledge and understanding of concepts and fundamentals of numerical computation.
Particular emphasis is given to:
• the understanding of the aspects related to the numerical solution of problems such as conditioning and stability;
• the understanding of the concept of approximate solution as a means to solve real problems.

Knowledge and understanding of concepts and fundamentals of numerical calculation . Particular emphasis is given to the understanding of numerical aspects related to the solution of problems , such as air conditioning and stability ; the understanding of the concept of approximate solution as a means to solve real problems .

LEARNING OUTCOMES (FURTHER INFO)

Resolution, from the numerical point of view, of basic mathematical problems, such as the root finding of a real function, polynomial interpolation, the solution of square linear systems or of overdetermined linear systems, using direct or iterative methods.

Particular attention is paid to some basic numerical concepts, such as the conditioning of a problem and the stability of an algorithm,  and to the interpretation of the results obtained by using floating point arithmetic.

TEACHING METHODS

Theoretical lessons complemented by practical lessons using Personal Computer

    Hours of lectures: 32 (teacher Fassino)
    Lab hours: 24 (teacher Fassino with a tutor)

SYLLABUS/CONTENT

The program covers topics from different areas:

Error Analysis: the use of thefloating point arithmetic and algorithmic errors, the cancellation and round-off error. Conditioning of the problem of in the evaluating a real function.
    
Solution of nonlinear equations: the bisection method, the Newton-like methods.

Interpolation: the interpolating polynomial in the Lagrange form, analysys of the interpolation error.

Matrix operations, vector and matrix norms.

Solution of linear systems: backward substitution method for triangular systems, the Gauss method and Jacobi method for square systems.
    
The condition nuber of a matrix.

Overdetermined systems: the method of the normal equations. The regression line.
    
For the laboratory part, the use of the MatLab language.

RECOMMENDED READING/BIBLIOGRAPHY

Bevilacqua-Bini-Capovani-Menchi: “Introduzione alla Matematica Computazionale”, Zanichelli
Bini-Capovani-Menchi: “Metodi Numerici per l’Algebra Lineare”, Zanichelli
 

TEACHERS AND EXAM BOARD

Exam Board

CLAUDIA FASSINO (President)

FABIO DI BENEDETTO

MARA SCUSSOLINI

LESSONS

LESSONS START

The course is developed on the first and second semester, following the timetable set out in the "Manifesto"

Class schedule

NUMERICAL CALCULATION AND PROGRAMMING

EXAMS

EXAM DESCRIPTION

Laboratory test, written test, oral examination

ASSESSMENT METHODS

Laboratory test , written examination , oral examination

Exam schedule