Lecture 18: Sensitivity Of Linear Equations To Data Error
author: Stephen P. Boyd,
Department of Electrical Engineering, Stanford University
published: May 31, 2010, recorded: September 2007, views: 2632
released under terms of: Creative Commons Attribution Non-Commercial (CC-BY-NC)
published: May 31, 2010, recorded: September 2007, views: 2632
released under terms of: Creative Commons Attribution Non-Commercial (CC-BY-NC)
Related content
Report a problem or upload files
If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Description
Getting closer. Well, we'll just not worry about it. It's still twisted, but that's okay. So we'll look at what happens when Y varies. Of course, if Y varies a little bit, then X will vary a little bit, and the change in X will be A inverse delta Y. Last time, I think, I pointed this out, but if you have a matrix, which is invertible, nonsingular, but where the inverse is huge – and of course this is exactly what you'd get if you had a matrix which was, for example, singular, and then you perturbed it slightly to make it nonsingular. You will have a matrix that's now nonsingular, but it’s inverse if going to be huge. ...
See the whole transcript at Introduction to Linear Dynamical Systems - Lecture 18
Link this page
Would you like to put a link to this lecture on your homepage?Go ahead! Copy the HTML snippet !
Reviews and comments:
That's great! They're exactly what I'm looking for! Thank you for sharing these wonderful and rewarding things with me and all of you! Have a good time with your family and https://wordleunlimited.one online.
Write your own review or comment: