luca-heltai / fem-with-dealii-2022

Numerical Solution of PDEs Using the Finite Element Method - 2021 - 2022

1. Numerical Solution of PDEs Using the Finite Element Method

This is shared course between the SISSA PhD track on Mathematical Analysis, Modeling, and Applications (math.sissa.it) and the Master in High Performance Computing (www.mhpc.it), on pratcical applications of the finite element method using the deal.II (www.dealii.org) library (roughly 20h course).

The goal of the course is to provide to the students advanced numerical tools for the solution of partial differential equations using the finite element methods, and state-of-the-art programming and best-practices knowledge for the implementation of their own codes.

The course enables a PhD or MHPC student working on numerical analysis of PDEs to implement a state-of-the-art adaptive finite element code, that runs in parallel, using modern C++ libraries. The implementation will be based on the deal.II library (www.dealii.org).

What you will learn:

• How to use a modern C++ IDE, to build and debug your codes
• How to use a large FEM library to solve complex PDE problems
• How to properly document your code using Doxygen
• How to use a proper Git workflow to develop your applications
• How to leverage GitHub actions, google tests, and docker images to test and deploy your application
• How MPI parallelisation works in a real life FEM applications

Main links

Course main page, with schedule and up to date information

• https://www.math.sissa.it/course/phd-course/fem-with-dealii-2022

Course slides, notes, materials, and codes:

• https://github.com/dealii-courses/fem-with-dealii-2022

Course recordings:

• https://www.youtube.com/playlist?list=PLcvf2raG3YsFISq9nymXe48YjD9dNwnHi

Doxygen documentation of the laboratories:

• https://dealii-courses.github.io/fem-with-dealii-2022/

Course program

A tentative detailed program is shown below (this will be updated during the course to reflect the actual course content)

1. Tools and background

2. Working with VisualStudio code, docker, and github

3. Introduction to deal.II

4. General structure of a deal.II code (step-1/step-2)

5. Solving a Poisson problem using deal.II (step-3/step-4)

6. Construction of Manufactured solutions

7. Working on successively (uniformly) refined grids

8. Studying the convergence rates of FEM codes (step-5)

9. Hanging nodes constraints

10. Adaptive finite element methods in deal.II (step-6)

11. SOLVE-ESTIMATE-MARK-REFINE loop

12. Domain decomposition VS algebraic decomposition

13. Splitting workload: partitioning with space filling curves

14. Distributed memory parallelization (step-40)

15. Moving from serial Poisson to parallel distributed Poisson

16. Vector valued problems

17. Block Preconditioning

Checks and tests

System	Status
Continous Integration
Doxygen
Indent