title: SVM: Why is Maximize margin == minimize Euclidean norm?
body: <p>In the SVM opimization problem, we either want to maximise the margin of <code>2/||w||</code>,
  or minimise the Euclidean Norm of weight vector w:
  <code>(1/2)*w^t*w</code></p>
  
  <p>Can somebody explain to me why the Euclidean Norm is the formula above? And not <code>1/sqrt(w^t*w)</code>?
  I assume euclidean norm is the Euclidean distance, how do we get to that formula?</p>