Lecture
Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.
This lecture covers the (log n) approximation algorithm for the sparsest cut problem, presenting the mathematical theorems and proofs step by step. It discusses the process of embedding and optimizing the cut metric, emphasizing the efficient randomized algorithm used for computation.
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