title: MATLAB code for Minimization of vectors
body: <p><strong><em>Question: What type of optimization function in MatLab should I use to solve the following minimization matrix problem?</em></strong> </p>
  
  <p>I am trying to find the row vector V such that [[ <strong>(f – transpose(V) * R)</strong> ]] is minimized subject to:</p>
  
  <p><strong>transpose(V)*B = 0.</strong></p>
  
  <p>++++Variables:</p>
  
  <ul>
  <li>f is a scalar which is known.</li>
  <li>R is (8x1) row vector which is known.</li>
  <li>B is (8x1) row vector which is known.</li>
  <li>V is (8x1) row vector which is unknown and I want to find that.</li>
  </ul>
  
  <p>+++++More Conditions:</p>
  
  <ul>
  <li><p>The value of the eight found entries in row vector V (8x1) should be
  between 0 and 1.</p></li>
  <li><p>The sum of the value of all eight entries of row vector V (8x1)
  should be unity (one).</p></li>
  </ul>
  
  <p>Thanks,
  Matt</p>