How to write an OR constraint in MILP?
Tough. You are leaving linear programming. 

Solve the problem without these equations and with no restriction for the sign of x. If by coincidence x matches one of the conditions, you are done. Otherwise you will need to solve the problem with one of these equations added. 

Calculate how much changing x by eps changes the optimal solution. With that guess how much adding x=0, x>=c, or x&lt;=-c would affect the optimal solution. Add the equation that seems to cause the least damage and solve with an optimal goal function G. Then try adding each of the other equations, with an additional restriction goal >= G. 

You could have just tried adding each equation in turn and solving, but this way you might find quicker that one condition can’t lead to an optimal solution. For example if c=100 and your optimal solution was x=80, you can add x>=100, optimise , and you can likely show easy that x=0 or x&lt;= -100 will lead to a worse outcome.