Hi, I am new to Julia and by extension JuMP. I am trying to rewrite a model for an optimization problem from Matlab to Julia using JuMP. Now following the documentation on the JuMP webpage, I have some doubts about writing the constraints in Julia. In Matlab, one of my constraint looks like this:

```
uc_miqp.Constraints.isOn = optimconstr(nHours, nUnits)
for kk = 1:nHours
for jj = 1:nUnits
uc_miqp.Constraints.isOn(kk, jj) = isOn(kk, jj) <= 1
end
end
```

And following the documentation, I have rewritten it as follows:

```
@constraint(uc_miqp, [kk = 1:nHours, jj = 1:nUnits], isOn[kk, jj] <= 1)
```

Now I think what I have is correct, but what if I wanted to have it resemble the code in Matlab. Would it look like this:

```
for kk = 1:nHours
for jj = 1:nUnits
@constraint(uc_miqp, isOn[kk, jj] <= 1)
end
end
```

Furthermore, I have some constraints with for loops and if else statements. What would be the correct or recommended way to implement something like this? This following is what I have implemented in Julia for for loops containing if else statements. For example if the Matlab code is

```
uc_miqp.Constraints.isOn = optimconstr(nHours, nUnits)
for kk = 1:nHours
for jj = 1:nUnits
if kk <= 5
uc_miqp.Constraints.isOn(kk, jj) = isOn(kk, jj) <= 1
else
uc_miqp.Constraints.isOn(kk, jj) = isOn(kk, jj) >= 1
end
end
end
```

I have implemented this is in Julia using the following 2 constraints:

```
@constraint(uc_miqp, [kk = 1:nHours, jj = 1:nUnits; kk <= 5], isOn[kk, jj] <= 1)
@constraint(uc_miqp, [kk = 1:nHours, jj = 1:nUnits; kk > 5], isOn[kk, jj] >= 1)
```

Would this be the best way to implement this?

The constraints may not make logical sense, it only used as an example.