Lecture 8: Norms of Vectors and Matrices

Описание к видео Lecture 8: Norms of Vectors and Matrices

MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018
Instructor: Gilbert Strang
View the complete course: https://ocw.mit.edu/18-065S18
YouTube Playlist:    • MIT 18.065 Matrix Methods in Data Ana...  

A norm is a way to measure the size of a vector, a matrix, a tensor, or a function. Professor Strang reviews a variety of norms that are important to understand including S-norms, the nuclear norm, and the Frobenius norm.

License: Creative Commons BY-NC-SA
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