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HomeMIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018Lecture 18: Counting Parameters in SVD, LU, QR, Saddle Points
Lecture 18: Counting Parameters in SVD, LU, QR, Saddle Points
49:00
Description
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.
SummaryTopic 1: Find \(n^2\) parameters in \(L\) and \(U\), \(Q\) and \(R\), …
Find \((m + n - r)r\) parameters in a matrix of rank \(r\)
Topic 2: Find saddle points from constraints and Lagrange multipliers
Related section in textbook: III.2
Instructor: Prof. Gilbert Strang