How to measure/read size of the optimization model?

Hello all,

I really need some help with some conceptual thinking and Julia output regarding to size of an optimization model.
Trying to read the size of the optimization model from Julia output. Is there an easy way to read it how many decisions it is trying to make?

I have Xi (i=1…350 binary variables) and Yij (i=1…350, j=1…350) 0<Yij<1 in the model.
The size of possible decisions it is making is also depending on the constraints, right?

Here is what I get from Julia after running solve command:


rows = constraints, and columns = variables. The solver is running “presolve” at the beginning, hoping to remove some variables and constraints that are redundant.

Thank you Joe!
That’s exactly what I needed to make sure.