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 Risorsa bibliografica obbligatoria Risorsa bibliografica facoltativa
 Scheda Riassuntiva
 Anno Accademico 2018/2019 Scuola Scuola di Ingegneria Industriale e dell'Informazione Insegnamento 052542 - NUMERICAL METHODS FOR ENGINEERING Docente Bonaventura Luca Cfu 5.00 Tipo insegnamento Monodisciplinare Didattica innovativa L'insegnamento prevede  1.0  CFU erogati con Didattica Innovativa come segue: Blended Learning & Flipped Classroom

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Insegnamento
Ing Ind - Inf (Mag.)(ord. 270) - MI (486) ENGINEERING PHYSICS - INGEGNERIA FISICA*AZZZZ052542 - NUMERICAL METHODS FOR ENGINEERING

 Obiettivi dell'insegnamento
 The goal of the course is to provide the students with the theoretical knowledge of the basic numerical linear algebra techniques and with the ability to apply it to relevant model problems. The course covers numerical methods for determined and overdetermined linear systems, their extension to nonlinear systems and their application to least square problems. All topics are presented at a theoretical level and the corresponding methods are applied to the solution of numerical problems in the computer laboratory sessions based on the use of MATLAB scientific software.

 Risultati di apprendimento attesi
 The students will acquire detailed knowledge and understanding of the basic principles of numerical computation of the solution of linear and nonlinear system and will be able to apply this knowledge to the solution of relevant numerical probems in linear algebra and least square problems, making use of the resources of the MATLAB scientific software. The student will be able to make judgements on the most appropriate numerical method to be applied for the solution of different classes of problems in terms of accuracy and efficiency. The student will be able to present the results of the numerical analysis of a linear algebra problem with appropriate technical language and to understand mathematical proofs presented in applied mathematics textbooks.

 Argomenti trattati
 1) Review of linear algebra concepts. Introduction to the scientific software MATLAB.Introduction to the floating point representation of real numbers. 2) Numerical solution of determined and linear systems by direct methods: Gaussian elimination, LU factorization, Cholesky factorization. Stability analysis for the numerical solution of linear systems. Condition number of a matrix. 3) Basic concepts on the Newton method for nonlinear systems. 4) Basic iterative methods and sparse matrices. 5) Numerical methods for overdetermined linear systems: QR factorization, SVD decomposition. 6) Linear and nonlinear least square problems, regularization of ill posed problems.

 Prerequisiti
 Students must have good theoretical knowledge of all the results on real and complex number theory, mathematical analysis of real and vector valued functions, analytic geometry and basic linear algebra theory that are usually included in Engineering Bachelor courses at Politecnico di Milano.

 Modalità di valutazione
 The assessment will consist in two parts. In an individual written assessment, based on the solution of a set of numerical linear algebra problems with the help of the MATLAB scientific software, the students will demonstrate a) the acquired ability to apply numerical methods for the solution of relevant linear algebra and least square problems b) the ability to make judgements on the most appropriate numerical method to be applied for the solution of different classes of problems in terms of accuracy and efficiency c) the ability to present the results of the numerical analysis of a linear algebra problem with appropriate technical language.In an individual oral interview, the students will demonstrate a) their level of detailed knowledge and understanding of the basic principles of numerical computation of the solution of linear and nonlinear system has been acquired b) the ability to make judgements on the most appropriate numerical method to be applied for the solution of different classes of problems in terms of accuracy and efficiency c) the ability to present the results of the numerical analysis of a linear algebra problem with appropriate technical language.

 Bibliografia
 A. Quarteroni, R. Sacco, F. Saleri, Numerical Mathematics, ISBN: 978-3-540-49809-4

 Forme didattiche
Tipo Forma Didattica Ore di attività svolte in aula
(hh:mm)
Ore di studio autonome
(hh:mm)
Lezione
30:00
45:00
Esercitazione
20:00
30:00
Laboratorio Informatico
0:00
0:00
Laboratorio Sperimentale
0:00
0:00
Laboratorio Di Progetto
0:00
0:00
Totale 50:00 75:00

 Informazioni in lingua inglese a supporto dell'internazionalizzazione
 Insegnamento erogato in lingua Inglese Disponibilità di materiale didattico/slides in lingua inglese Disponibilità di libri di testo/bibliografia in lingua inglese Possibilità di sostenere l'esame in lingua inglese Disponibilità di supporto didattico in lingua inglese
 schedaincarico v. 1.6.1 / 1.6.1 Area Servizi ICT 02/04/2020