Partially supported by Progetto Nazionale di Ricerca MURST “Analisi numerica: metodi e software scientifico”. Copyright © IMACS. Published by Elsevier. [] [] [] [] [] [] V. Comincioli, Analisi Numerica, McGraw-Hill, G. Monegato, Fondamenti di Calcolo Numerico, Levrotto & Bella, V. Comincioli, Analisi Numerica, McGraw-Hill, G. Monegato, Fondamenti di Calcolo Numerico, Levrotto & Bella, O.C. Zienkiewicz and R.L. Taylor.

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Several exercises will be assigned during the course: Variable step size control. A brief introduction to ordinary differential equations ODEsexistence and Uniqueness theorem. Numerical methods for ODEs: Numerical derivation formulae Richardson’s estrapolation technique ; stability.

Romberg’s methods and adaptive methods. Links to further information http: Analisi numerica II – avvisi del docente. Bulirsch, Intrpduction to numerical analysis, Springer, – L. Representation of real numbers and machine arithmetic. numreica

Consistency and convergence of R-K metohds and order conditions. Testo semplice ed intuitivo. Rounding errors and their propagation. The student learns the concepts and tools necessary for the solution of important problems in mechanical engineering, with particular emphasis on numerical methods for ordinary differential equations and partial differential equations.

Furthermore some other interesting property of such methods as accuracy and efficiency will be studied. Russo, Introduzione al calcolo scientifico, McGraw-Hill, Existence and uniqueness of a solution for implicit R-K methods. IVA – C.


Approximation of functions and interpolation. Numerical solution of Linear Systems: Cerca nel sito solo nella sezione corrente.


Teaching methods Lectures and guided exercises in the laboratory. Teaching tools Lecture slides available on AMS campus. Introduction on the Cauchy problems: Biblioteche Servizi online Webmail. The goal of analisk first part of the course is to introduce the student to the computational issues of the solutions of ordinary differential equations ODEs and to give several tools for the numerical resolutions of these problems.

In particular,some important concepts will be introduced as: Bulirsch, Introduction to numerical analysis. Numerical methods for initial value problems for ordinary differential equations.

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Course statistics – enrollment and graduations data. Learning assessment procedures The aim of the final exam consists in verifying the level of knowledge comincooli the formative objectives previously stated.

During the lessons the theoretical discussion is supported by exercises in I. Back to list of courses. Salta alla navigazione Strumenti personali.


Anlisi and oral exam, where the students knowledge of the various numerical techniques tought in the course, as well as the ability to suitably apply them to the studied mathematical problems, is checked. Per appuntamento da concordare con il docente. Home Prospective students Current students Exchange students Graduates. To acquire basic abilities to solve problems and exercises by using numerical techniques for linear algebra, approximation of functions, anailsi equations, ordinary differential equations and computation of integrals.


Laboratory; these simulations are based on the implementation of the methods studied in class; the analysis regarding efficiency and effectiveness will be performed. Explicit and Implicit Euler methods, modified Euler method, Heun method. Numerical solution of linear systems. Texts of previous written exams are advertised and discussed during the course.

Assessment methods Oral nuerica of the laboratory projects. Corsi di Studio Units. Partitioned and additive Runge-Kutta methods. Shootingcollocation and finite difference methods 5 hours Didactic methods Lectures on all the topics previously stated are scheduled.

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Utile strumento di consultazione per alcuni argomenti es. A brief introduction to ordinary differential equations ODEsexistence and. It is necessary to have passed the following exams: Testo utilizzato per la parte riguardante le equazioni differenziali-algebriche. Testo molto ampio e ricco di esempi. Numerical methods for DAEs. The knowledge provided by this course regards numerical solution of nonlinear systems, numerical methods for derivation and integration, methods for the solution of differential equation systems with initial and boundary conditions.

This discussion allows understand the level of knowledge and skills acquired by the students on the methods learned. Contiene molto materiale e riporta esempi didattici implementati in matlab. Type of Learning Activity.