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)
published: July 21, 2010, recorded: April 2008, views: 3236
released under terms of: Creative Commons Attribution Non-Commercial (CC-BY-NC)
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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
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