title: quadratic optimization in R with both equality and inequality constraints
body: <p>I'm trying to find how to solve quadratic problem in R with both equality and inequality constraints as well as with upper and lower bounds:</p>
  
  <pre><code>min 0.5*x'*H*x + f'*x  
  subject to:  A*x &lt;= b   
  Aeq*x = beq  
  LB &lt;= x &lt;= UB 
  </code></pre>
  
  <p>I've checked 'quadprog' and 'kernlab' packages but ... I must be missing something as I have no idea how specify both 'A' and 'Aeq' for solve.QP() or ipop()</p>