Hi,

I am new to Julia and JuMP, and I am learning to solve SOCP with integer constraint.

The only example I can find online shows I should add the constraint in the following way.

`@constraint(m, norm(2x[i] - i for i=1:n if c[i] == 1) <= 1)`

Is there a way to call `norm`

function with out a looping of iterator with in it ? For example, in my problem, a segment of code would be

```
for t in 1:n
for i in 0:t
for j in ( t + 1 ):( n + 1 )
# add socp constraint here
@constraint( model , dd[ k , i , j , t , 1 ] == sqrt( generationCostA( k , t ) ) * x[ k , i , j , t ] )
@constraint( model , dd[ k , i , j , t , 2 ] == 0.5 * ( d[ k , i , j , t ] - y[ k , i , j ] ) )
@constraint( model , norm( dd[ k , i , j , t , kk ] for kk in 1:2 ) <= 0.5 * ( y[ k , i , j ] + d[ k , i , j , t ] ) )
end
end
end
```

the vector within `norm`

function has dimension 2. I tried to use `norm([ x , y ])`

, but it does not work. So I have to create dummy variables `dd`

, and then I can use iterator within `norm`

function.

Can I do it without introduce the dummy variables? Thanks for your time of reading, and much appreciated if you can help me on this!

Qm