Let's say we have linear programming problem
with x1 and x2 variables.
Maximize x1 + x2
where (for example)
0.3x1 + 0.7x2 <= 2
0.2x1 + 0.3x2 <= 3
How can be added one more condition, so linear programming solve should take into account, that
x1 should come a multiple of 20 (or any other number) ?
something towards:
(1/20)*x1 + 0 <= something towards 20
So, for this example x1 variable,
right answer should be 20 or 40 or 60, ...
It sounds like you want to enforce the constraint that there exists an integer $k$ such that $x_1 = k \cdot 20$. Once you enforce this type of constraint, you no longer have a linear programming problem. In particular, the set of decision variables is no longer convex, because you're only allowing $x_1$ "on a grid" so to speak.
Once you add in constraints like this, your problem becomes one of "integer linear programming".