Hi I'm rewriting a script from MATLAB to C++ using `armadillo` library for linear algebra and matrix.

for getting more or less the same output i called cout method:

```
cout.precision(4);
cout.setf(ios::fixed);

```

but i'm getting different result:

Matlab result:

```
0.0000    0.0000    0.0000    0.0000    0.0000   
0.0012    0.0014    0.0016    0.0020    0.0281  
0.0396    0.0297    0.0297    0.0495    0.0976  

```

Armadillo c++ result:

```
0.0000    0.0000    0.0000    0.0000    0.0000 
0.0012    0.0014    0.0016    0.0020    0.0282 
0.0416    0.0312    0.0312    0.0520    0.1027

```

now, i don't know if thoose little imprecision (`0.039` is near to `0.041`) are caused by some errors in my C++ code translated or they should be considered normal differences between double precision in g++ and MATLAB

In my code I'm using a lot of cycle like this:

```
xi_summed = xi_summed + normalise((trans % (alpha.col(t) * b.t())));

```

where `xi_summed`, `trans`, `alpha`, `b` are `arma::mat` and `%` is a element-wise multiplication and `mat::t()` is transpose and normalise are a function that make the entries of matrix `A` array sum to `1`.