35433 - Numerical Methods

Academic Year 2024/2025

  • Docente: Fabiana Zama
  • Credits: 6
  • SSD: MAT/08
  • Language: English
  • Teaching Mode: Traditional lectures
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in Mathematics (cod. 5827)

Learning outcomes

At the end of the course, students know basic numerical methods for evolutive ordinary and partial differential problems, together with their main theoretical and computational properties. In particular, students are able to analyze the properties of numerical methods; constructively examine corresponding computational results; advance their scientific computing education in higher level courses; employ the acquired numerical skills in a variety of application areas.

Course contents

  • Main topics:
    • Numerical solution of Ordinary Differential Equations (ODEs): Initial Value Problems
      • First-order equations and systems:
        • One-step and multi-step methods.
        • Convergence and Stability.
    • Numerical solution of ODEs: Boundary Value Problems
      • Shooting Method
      • Finite difference methods
  • Related topics:
    • Nonlinear systems
    • Nonlinear least squares
    • Gaussian Quadrature Formulas
  • Matlab Programming:
    • The computational tool employed in the course is Matlab. The initial lab classes will be dedicated to assessing and, if necessary, enhancing this skill.

Readings/Bibliography

  • Course Lecture notes
  • U. Ascher and L. Petzold. Computer methods for ordinary differential equations and differential-algebraic equations. SIAM, 1998.
  • D.F. Griffths and D.J. Higham. Numerical Methods for Ordinary Differential Equations: Initial Value Problems. Springer, 2010.
  • Randal J. LeVeque. Finite Difference Methods for Ordinary and Partial Differential Equations. SIAM, 2007.
  • Alfio Quarteroni, Riccardo Sacco, and Fausto Saleri. Numerical Mathematics (Texts in Applied Mathematics). Springer-Verlag, Berlin, Heidelberg, 2006.
  • H.B.Keller. Numerical Methods for Two-Point Boundary Value Problems. Dover Ed., 2018.

Teaching methods

Classroom lectures: the numerical methods are introduced, and the theoretical properties assessed.

Computer laboratory-guided lectures: The numerical methods are developed and analyzed through examples reported in laboratory assignment sheets.

During the course, several topics will be proposed as subjects for projects to be developed individually or in small groups.

 

In consideration of the type of activity and teaching methods adopted, the frequency of this training activity requires the prior participation of all students in Modules 1 and 2 of safety training in the places of study, in e-learning mode.

Assessment methods

 

    1. Written Report and Oral Presentation:

      • The project must be submitted as a detailed written report.
      • Additionally, the project will be presented orally during the examination.
    2. Oral Examination:

      • The oral exam will cover theoretical concepts and practical assignments.
      • Be prepared to discuss and explain the theory behind your project as well as your approach to the assignments.

Teaching tools

e-learning platform: Virtuale

Office hours

See the website of Fabiana Zama

SDGs

Quality education

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.