title: Using fminunc function
body: <p>I am trying to use the fminunc function for convex optimization. However, in my case I am taking the gradient with respect with logx. Let my objective function be F. Then the gradient will be</p>
  
  <pre><code>dF/dx = (dF/dlogx) * (1/x)
  = &gt; dF/dlogx = (dF/dx) * x
  </code></pre>
  
  <p>So</p>
  
  <pre><code>logx_new = logx_old + learning_rate * x * (dF/logx)
  x_new = exp(logx_new)
  </code></pre>
  
  <p>How can I implement this in fminunc</p>