Location: Academic Organisations » Stanford Engineering Everywhere » Stanford Engineering Everywhere EE364A - Convex Optimization I

Lecture 10: Applications Section Of The Course

author: Stephen P. Boyd, Department of Electrical Engineering, Stanford University
published: Aug. 17, 2010,   recorded: January 2008,   views: 3122
released under terms of: Creative Commons Attribution Non-Commercial (CC-BY-NC)
Categories

See Also:

Help icon Streaming Video Help

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.
  Delicious Bibliography

Description

Okay, so our first topic is going to be approximation and fitting, and we've separated this so that at first we're not going to talk about statistical methods but we'll get to statistical methods actually very soon. So our first treatment of approximation and fitting is just non-statistical. But we'll get there and we'll see that it's actually very close. It's actually very interesting, the connection. ...

See the whole transcript at Convex Optimization I - Lecture 10

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: