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 iterative methods for solving linear systems, including Richardson method, gradient method, and conjugate gradient method. It explains convergence criteria, spectral radius, and preconditioned methods. The lecture also discusses the importance of spectral radius in determining convergence and efficiency of iterative methods.
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