Mathematics

Advanced course dedicated to the Numerical Solution of Partial Differential Equations through the deal.II Finite Element Library.

Topics:

This course is meant to be complementary to the courses Numerical Solution of PDEs,  Numerical Solution of PDEs Using the Finite Element Method, and Advanced FEM Techniques.

Advanced course dedicated to the Numerical Solution of Partial Differential Equations through the deal.II Finite Element Library.

Topics:

All lectures are live in Room A-134, and broadcasted on Zoom and YouTube.

https://sissa-it.zoom.us/j/81471012769?pwd=QnNiZnVtbUxvNENybXlPNWVsT1hmQT09

Meeting ID: 814 7101 2769

Passcode: GitRules

Course material: https://github.com/luca-heltai/collaborative-science-2021-2022

Course description

The course aims to provide advanced knowledge of both theoretical and practical programming in C++11 and Python3, with particular regard to the principles of object-oriented programming and best practices of software development.

Due to covid-19 containement rules, this year, videos with pre-recorded lectures will be uploaded weekly, starting from the week of October 5, 2020.

This is a 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). It is a course that follows two parallel lines:
theory of finite element methods (graduate students level, ~20 hours) and
practice of finite element methods (mhpc students levels, ~20 hours).