Lecture 8: Multi-Objective Least-Squares

author: Stephen P. Boyd, Department of Electrical Engineering, Stanford University
published: May 31, 2010,   recorded: September 2007,   views: 3227
released under terms of: Creative Commons Attribution Non-Commercial (CC-BY-NC)

Related Open Educational Resources

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.
Lecture popularity: You need to login to cast your vote.


So we started looking at that last time. As a thought experiment, we did the following. We simply took ever XNRN and we evaluated J1 and J2, the two objectives. You want both small. For every X, we put a point. All the shaded region shows you pairs as we’ve written it, J2, J1, which are achievable, and then the clear area here are pairs that are not achievable. We talked about this last time. We talked about the following idea, that if a certain X corresponds to this point, then basically, all the Xs corresponding that map into what is lower and to the left – these are actually points that are unambiguously better than this one. ...

See the whole transcript at Introduction to Linear Dynamical Systems - Lecture 08

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: