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.