title: python finding eigen values and eigen vectors
body: <p>I have a graph laplacian, for which I need to find out the largest 'k' eigen values and eigen vectors. I am using something like this :-</p>
  
  <pre><code>#L= laplacian matrix.
  eigVal,eigVectors = eigsh(L, k,  which='LA')
  </code></pre>
  
  <p>This is giving me approximately correct results, but something's going wrong and I am getting eig values slightly greater than 1 (say 1.05). In my case the eigen values are upper bounded by 1. when using MATLAB and other platforms I am getting desired results.</p>
  
  <p>What am I doing wrong here?? Is there any way by which I can parallelize the computation of eigen vectors and values?  (I am considering pyCuda.)</p>