Risorse bibliografiche
 Risorsa bibliografica obbligatoria Risorsa bibliografica facoltativa
 Scheda Riassuntiva
 Anno Accademico 2017/2018 Scuola Scuola di Ingegneria Industriale e dell'Informazione Insegnamento 096233 - MATHEMATICAL AND NUMERICAL METHODS IN ENGINEERING [I.C.] 096231 - MATHEMATICAL AND NUMERICAL METHODS IN ENGINEERING [2] Docente Zunino Paolo Cfu 7.00 Tipo insegnamento Modulo Di Corso Strutturato

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Insegnamento
Ing Ind - Inf (Mag.)(ord. 270) - BV (478) NUCLEAR ENGINEERING - INGEGNERIA NUCLEARE*MZZZZ096296 - NUMERICAL METHODS IN ENGINEERING
Ing Ind - Inf (Mag.)(ord. 270) - MI (471) BIOMEDICAL ENGINEERING - INGEGNERIA BIOMEDICA*MZZZZ096233 - MATHEMATICAL AND NUMERICAL METHODS IN ENGINEERING [I.C.]
Ing Ind - Inf (Mag.)(ord. 270) - MI (491) MATERIALS ENGINEERING AND NANOTECHNOLOGY - INGEGNERIA DEI MATERIALI E DELLE NANOTECNOLOGIE*MZZZZ096296 - NUMERICAL METHODS IN ENGINEERING

 Programma dettagliato e risultati di apprendimento attesi
 First Part – Differential modeling and finite difference approximation Review Finite difference formulae to approximate derivatives. Numerical approximation of ordinary differential equations, convergence, absolute stability. First-order conservation laws Approximation with finite differences. Convergence, consistency, zero-stability and absolute stability. Forward Euler-centered scheme. Upwind, Lax-Friedrichs and Lax-Wendroff schemes. Analysis of the schemes, CFL condition and its meaning. Backward Euler-centered scheme. A quick description of systems and of non-linear problems. Diffusion Discretization of the heat equation with finite differences. Implicit and explicit time marching schemes, the theta-method, stability analysis. Laplace-Poisson equation Discretization with finite differences of a one-dimensional elliptic problem. Imposition of the Dirichlet and Neumann boundary conditions. Algebraic formulation and matrix properties. Diffusion-convection and diffusion-reaction problems. Wave equation Discretization of the wave equation with finite difference explicit and implicit schemes. Leapfrog and Newmark schemes. Stability properties.   Second Part – Variational formulations and discretizations via finite element method. Weak formulation and Finite Elements approximation of stationary problems Bilinear form, abstract variational problems and Lax-Milgram lemma. Variational formulation of elliptic problems and applications to transport-reaction-diffusion equations. Introduction to the Galerkin method for a one-dimensional elliptic problem. Consistency, stability and convergence. Cea' Lemma. The finite elements method. Linear and quadratic finite elements. Definition of Lagrangian basis functions, of composite interpolation and error estimates. Extension to the 2D case. Approximation of the diffusion-convection-reaction problem: comparison with the finite difference case and stability analysis. Stabilization with the upwind strategy and the mass lumping technique.        6. Evolution problems Approximation with the Galerkin method, the semi-discrete problem. Explicit and implicit time marching schemes, the theta-method. Stability properties. A quick description of finite elements for hyperbolic problems.

 Note Sulla Modalità di valutazione
 There are five examination dates (two in January-February, two in June-July, one in September). The course consists in two moduli, one in Mathematical Methods (ref. G. Arioli and G. Grillo) and one in Numerical Methods (ref. C. Vergara and P. Zunino). The exam in Mathematical Methods is written and consists in both questions on the theory and exercises. The exam in Numerical Methods consists in a written part and an optional oral part. The written part of both moduli takes place in the same day. Students can take the oral exam for the Numerical Methods modulus only when the corresponding written grade is at least 15 out of 30. The final grade is the (rounded up) arithmetic mean of the grades obtained in the two moduli. To get the grade “30 cum laude” one should obtain such grade in both the subparts. If this is not the case, a single "30 cum laude" in one of the parts will be considered as 30 in performing the arithmetic mean. It is possible to take the exam in one modulus (Mathematical or Numerical Methods) in one of the five examination dates and in the other modulus in another examination date, provided such dates are in the same academic year. It is mandatory to take the written and the oral part of the Numerical Methods modulus within the same examination date, i.e. it is not possible to give the written part in one examination date and the oral part in another one. The participation tothe written exam of one of the two moduli, automatically discards any previous grade obtained for that modulus, even if the student chooses to withdraw. NOTES 1)  Mathematical Methods in Engineering and Numerical Methods in Engineering are also single courses which can be taken independently. 2)  Browsing texts, notes, and electronic devices are not allowed during the tests. It is mandatory to bring an ID (e.g. identity card, driver’s licence,…) in order to be identified. 3)  Registration to the exam is mandatory. Unregistered students will not be admitted.

 Bibliografia
 Quarteroni A., Modellistica Numerica per Problemi Differenziali, Editore: Springer, Anno edizione: 2012

 Software utilizzato
 Nessun software richiesto

 Mix Forme Didattiche
Tipo Forma Didattica Ore didattiche
lezione
42.0
esercitazione
0.0
laboratorio informatico
26.0
laboratorio sperimentale
0.0
progetto
0.0
laboratorio di progetto
0.0

 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. 1.6.9 / 1.6.9 Area Servizi ICT 22/01/2022