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Singular Value Decomposition

  1. Feb 9, 2015 #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.
     
  2. jcsd
  3. Feb 9, 2015 #2

    mfb

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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?
     
  4. Feb 9, 2015 #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].
     
  5. Feb 9, 2015 #4

    mfb

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    Well, there are code packages that can do that.
     
  6. Feb 9, 2015 #5
    Yeah i found that out but I have to do it by hand for a class i'm in
     
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