Numerical Methods for Partial Differential Equations 3

A.Y. 2025/2026
9
Max ECTS
78
Overall hours
SSD
MAT/08
Language
Italian
Learning objectives
The course aims at providing the basic techniques concerning parallel computing for the numerical treatment of problems arising from the approximation of PDEs, and, more generally, from numerical linear algebra.
Expected learning outcomes
At the end of the course students wil have acquired the basic ideas of parallel programming, as well as the ability to implement some parallel algorithms for the solution of partial differential equations, and, more genearlly, for linear algebra problems.
Single course

This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.

Course syllabus and organization

Single session

Responsible
Lesson period
First semester
MAT/08 - NUMERICAL ANALYSIS - University credits: 9
Laboratories: 36 hours
Lessons: 42 hours
Professor: Scacchi Simone
Professor(s)