Lecture : Basic Matrix Results ( 2 of 3 )

نویسنده

  • Michael Mahoney
چکیده

Today, we will consider a different class of matrices and establish a different type of “niceness” result, which will also be used extensively by spectral methods. In particular, we want to say something about how eigenvectors, and in particular the extremal eigenvectors, e.g., the largest one or few or the smallest one of few “look like.” The reason is that spectral methods—both vanilla and non-vanilla variants—will rely crucially on this; thus, understanding when and why this is true will be helpful to see how spectral methods sit with respect to other types of methods, to understand when they can be generalized, or not, and so on.

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تاریخ انتشار 2015