Linear Programming Linear programming is a nonstatistical mathematical technique whereby the maximization or minimization of a linear expresion of variables, call the objective function, is determined in the presence of known or assumed restrictions, call constraint. In essence, it's a procedure for solving the problems in which there are more variables than simultaneous equations in which the variables are expressed. No probability or statistics are needed to study linear programming. The mathematics involved in linear programming is relatively easy to understand and to manipulate in contrast to calculus. Linear equations and inequations