Suppose I have a data matrix `A`

that is used in one of the constraints:

```
using JuMP
nx, ny = 150, 100
A = rand(nx, ny)
m = Model()
@variable(m, X[1:nx,1:ny])
@constraint(m, [i=1:nx,j=1:ny], X[i,j]-A[i,j] ≤ tol)
# more constraints and objective...
for i=1:100
# solve optimization
solve(m)
# update data matrix A
A += ...
# update constraints?
end
```

Is it possible to modify the data in a loop and update the constraint with the new data or I need to recreate the entire model inside of the loop?