Lecture 15: Recap: Example: Minimum Cardinality Problem

author: Stephen P. Boyd, Department of Electrical Engineering, Stanford University
published: July 21, 2010,   recorded: April 2008,   views: 3236
released under terms of: Creative Commons Attribution Non-Commercial (CC-BY-NC)
Categories

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

All right, I think this means we are on. There is no good way in this room to know if you are – when the lecture starts. Okay, well, we are down to a skeleton crew here, mostly because it’s too hot outside. So we’ll continue with L_1 methods today. So last time we saw the basic idea. The most – the simplest idea is this. If you want to minimize the cardinality of X, find the sparsest vector X that’s in a convex set, the simplest heuristic – and actually, today, we’ll see lots of variations on it that are more sophisticated. But the simplest one, by far, is simply to minimize the one norm of X subject to X and Z. ...

See the whole transcript at Convex Optimization II - Lecture 15

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: