title: Solve Generalized Eigenvalue Problem in Numpy
body: <p>I am looking to solve a problem of the type:  <code>Aw = xBw</code> where <code>x</code> is a scalar (eigenvalue), <code>w</code> is an eigenvector, and <code>A</code> and <code>B</code> are symmetric, square numpy matrices of equal dimension.  I should be able to find <code>d</code> x/w pairs if <code>A</code> and <code>B</code> are <code>d x d</code>.  How would I solve this in numpy?  I was looking in the Scipy docs and not finding anything like what I wanted.</p>