title: do singular value decomposition in Matlab
body: <blockquote>
    <p><strong>Possible Duplicate:</strong><br>
    <a href="https://stackoverflow.com/questions/8791537/efficient-low-rank-appoximation-in-matlab">Efficient low-rank appoximation in MATLAB</a>  </p>
  </blockquote>
  
  
  
  <p>I am trying to do SVD for a matrix of size 7468 x 1193 in matlab. Surprisingly enough, it takes a very long time -- I would think that this is a relatively small matrix for Matlab / SVD. Is there a better implementation for SVD in matlab which can tackle this size of matrices? I don't really need <em>all</em> singular vectors from U and V, but relatively a small number of them (say 50 or so).</p>