title: Eigenvalue decomposition using MATLAB
body: <p>I'm conducting dimensional reduction of a square matrix A. My issue now is that I have problem computing eigvalue decomposition of a 13000 x 13000 matrix A, i.e. <code>[v d]=eigs(A)</code>. Because it's a sparse matrix, I get 'out of memory error' using a 4GB RAM.  I'm convinced it's not my PC's problem, since the memory is not used up when <code>eigs</code> command is run. The help I saw online had to do with ARPACK. I checked the recommended site, but there were a lot of files there, don't know which to download. Also, I did not understand how to use it with MATLAB. Another help says use numerical methods, but I dont know which specific one to use. Please any solution is welcome.</p>
  
  <pre class="lang-none prettyprint-override"><code>Error in ==&gt; eigs&gt;ishermitian at 1535
  tf = isequal(A,A');
  
  Error in ==&gt; eigs&gt;checkInputs at 479
              issymA = ishermitian(A);
  
  Error in ==&gt; eigs at 96
  [A,Amatrix,isrealprob,issymA,n,B,classAB,k,eigs_sigma,whch, ...
  
  Error in ==&gt; labcomp at 20
  [vector lambda] = eigs(A) 
  </code></pre>
  
  <p>Please can I get translation of these errors and how to correct it?</p>