mermeladeK

I am using the CVX tool from Boyd for convex optimization. I need to implement the convex function [latex]\frac{1}{xy}[/latex] for positive numbers. I figured one way which is the same method used when convexifying a Geommetric Program. However for some reason it fails to do a simple case. The code in matlab is: cvx_begin variables p q r minimize( r ) p<=log(2) q<=log(3) 0<=p+q+r cvx_end [latex]\exp{r}[/latex] is [latex]\frac{1}{2*3}[/latex]. However it fails and says ??? Index exceeds matrix dimensions. Error in ==> cvxprob.eliminate at 215 temp = reshape(ndxs(temp),size(temp)); Error in ==> cvxprob.solve at 14 [ At, cones, sgn, Q, P, dualized ] = eliminate( prob, true ); Error in ==> cvx_end at 77 solve( prob );