I have a known matrix, H of size U\times B.

The optimization variable is D of same size, which is binary

Now I have,

S_u=\frac{\sum_{b=1}^{B} D_{u,b}H_{u,b}}{\sum_{b=1}^{B}H_{u,b}-\sum_{b=1}^{B} D_{u,b}H_{u,b}}, \forall u, u=1,\cdots, U

And I want to maximize \sum_{u=1}^US_u

I am doing the following,

```
Num=sum(D.*H,2);
Denom=sum(H,2)-Num;
Ratio=Num./Denom;
maximize sum(Ratio)
```

it is throwing me the following error

Disciplined convex programming error:

Cannot perform the operation: {real affine} ./ {real affine}

Error in ./ (line 19)

z = times( x, y, ‘./’ );

How can I get rid of this? Any alternative formulation of the objective function!