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.
Power Method
This lecture covers the Power Method, which is used to approximate the largest eigenvalue of a matrix. The method involves iterating a sequence of vectors to converge towards the dominant eigenvector. The lecture also discusses the Rayleigh quotient and convergence analysis, highlighting the importance of linear independence and the characteristics of Hermitian matrices. Various correction notes and trimming instructions are provided throughout the slides.
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