The objective function in linear programming problems is the real-valued function whose value is to be either minimized or maximized subject to the constraints defined on the given LPP over the set of feasible solutions. The objective function of a LPP is a linear function of the form z = ax + by.

How do you find the objective function in LPP?

A linear programming problem may be defined as the problem of maximizing or minimizing a linear function subject to system of linear constraints. The constraints may be equalities or inequalities. The linear function is called the objective function , of the form f(x,y)=ax+by+c .

What are the objective of linear programming?

The main objective of linear programming is to maximize or minimize the numerical value. It consists of linear functions which are subjected to the constraints in the form of linear equations or in the form of inequalities.