title: how to de-normalize values normalized by linalg.norm method of numpy?
body: <p>I have an array</p>
  
  <pre><code>a = array([[ 3.55679502,  3.46622505],
             [ 1.03670334,  2.43254031],
             [ 1.12185975,  3.25257322]])
  </code></pre>
  
  <p>Now I normalized it with numpys <code>linalg.norm</code> method</p>
  
  <pre><code>norm_a = a/np.linalg.norm(a)
  </code></pre>
  
  <p>It gives normalized values in  the range of (0,1) as </p>
  
  <pre><code>norm_a = array([[ 0.53930891,  0.52557599],
                  [ 0.15719302,  0.36884067],
                  [ 0.1701051 ,  0.49318044]])
  </code></pre>
  
  <p>Now, using <code>norm_a</code>, how can I recover original de-normalized matrix <code>a</code>?</p>