Skip to Main Content (Press Enter)

Logo UNIPV
  • ×
  • Home
  • Degrees
  • Courses
  • Jobs
  • People
  • Outputs
  • Organizations

UNIFIND
Logo UNIPV

|

UNIFIND

unipv.it
  • ×
  • Home
  • Degrees
  • Courses
  • Jobs
  • People
  • Outputs
  • Organizations
  1. Courses

509007 - ADVANCED NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS

courses
ID:
509007
Duration (hours):
48
CFU:
6
SSD:
ANALISI NUMERICA
Year:
2025
  • Overview
  • Syllabus
  • Degrees
  • People

Overview

Date/time interval

Secondo Semestre (02/03/2026 - 12/06/2026)

Syllabus

Course Objectives

The course aims at studying in detail some modern methods for the numerical approximation of partial differential equation that are relevant for applications.
The methods under consideration will be analysed theoretically and implemented numerically.

Learning Objectives:
To be able to derive partial differential and integral equation from simple physical phenomena; to know and to be able to use basic analytical and mathematical tools for boundary value problems; to be able to implement advanced numerical methods and to study their properties, both starting from theory and from numerical experiments.

Course Prerequisites

Basic knowledge of numerical analysis, mathematical analysis, partial differential equations. A basic knowledge of Matlab, python or similar languages is advisable.
It is preferable to have attended, or to attend during the same term, the Finite Elements class.

Teaching Methods

Classroom lectures, tutorials in the computer lab, study of research papers, seminars.
The topics presented may vary according to the students' preferences.

Assessment Methods

Oral exam and report.
Every student will be able to implement the numerical methods presented during the course, focusing on some extensions or applications, or studying in details some theoretical aspects, also using the most recent scientific literature suggested by the lecturers.

Texts

Notes prepared by the lecturer, available on the course web page.
Scientific papers provided by the lecturer.
A list of references to study in more depth the different course subjects is available in the lecture notes.

Contents

The course will focus on some advanced techniques for the solution of partial differential equations (PDEs) that complement and extend the programme of the Finite Element course. In particular, the course will focus on the Boundary Element Method (BEM) for the approximation of the Helmholtz equation. In details: Derivation of the Helmholtz equation from the acoustic, electromagnetic, and elastic wave propagation models. Particular solutions of the Helmholtz equation. Exterior Dirichlet problems and scattering problems. Analytical tools: Sobolev spaces, Green identity, variational problems, Fredholm theory. Single-layer potential and operator, corresponding boundary integral equation. Boundary element method (BEM), properties and implementation. Well-posedness of Helmholtz problems in bounded and unbounded domains, resonances and eigenfunctions. Green representation formula Well-posedness analysis for the single-layer integral equation, spurious resonances. Other integral equation. Galerkin method analysis for problems satisfying a Garding inequality, Schatz argument. Transmission problem: derivation, refraction, first- and second-kind boundary integral equations. Acoustic waves in heterogeneous media, volume integral equations.

Course Language

Italian

More information

Office hours, in presence or online, can be arranged by appointment.
The lecturer's notes are available on the course page.

Degrees

Degrees

COMPUTATIONAL AND MODELLING ENGINEERING FOR MATERIALS, STRUCTURES, AND SUSTAINABLE TECHNOLOGIES 
Master’s Degree
2 years
No Results Found

People

People

MOIOLA ANDREA
Settore MATH-05/A - Analisi numerica
AREA MIN. 01 - Scienze matematiche e informatiche
Gruppo 01/MATH-05 - ANALISI NUMERICA
Professore associato
No Results Found
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.4.3.0