18. Counting Parameters in SVD, LU, QR, Saddle Points

MIT Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018 Instructor: Gilbert Strang View the complete course: YouTube Playlist: In this lecture, Professor Strang reviews counting the free parameters in a variety of key matrices. He then moves on to finding saddle points from constraints and Lagrange multipliers. License: Creative Commons BY-NC-SA More information at More courses at