Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the Richardson method for solving linear systems, focusing on preconditioned iterative solvers. It explains the concept of preconditioning, the Richardson iteration, and the convergence properties of the method. The lecture also introduces the gradient method and its application in solving linear systems.
This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.
Watch on Mediaspace