Singular Value Decomposition

  • Thread starter Th3HoopMan
  • Start date
  • #1
I have no idea what it is, and I really don't know how to go about using SVD on a matrix. All I know is that it could be useful for image compression (okay...?). Are there any resources or videos I can look at that will simplify the problem solving process for this? I've found a few that pertain to the theory but it's usually pretty confusing.
 

Answers and Replies

  • #2
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As usual, the wikipedia article has an introduction and many links to resources that go into more detail. The basic idea is to decompose the matrix into "important" and "unimportant" components in a different basis, and then drop the unimportant parts.

Which problem solving process do you mean?
 
  • #3
Thanks I'll take a look. As for the problems we usually get instructions telling us to compute a SVD of [inset random matrix here].
 
  • #4
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Well, there are code packages that can do that.
 
  • #5
Yeah i found that out but I have to do it by hand for a class i'm in
 

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