In linear programming, a statement such as "maximize contribution" becomes a(n)
A) constraint
B) slack variable
C) objective function
D) violation of linearity
E) decision variable

Question

Quizplus · Accepted Answer

In linear programming, the objective function is the function that needs to be optimized or maximized (in case of a maximization problem) or minimized (in case of a minimization problem). Constraints are the limitations that the problem faces, slack variables are introduced to effectively deal with constraints, decision variables are the variables whose values are to be determined through optimization, and violation of linearity refers to a situation where a linear programming problem violates the linearity condition. Hence, in the given context, the statement "maximize contribution" would be the objective function.

In Linear Programming, a Statement Such as "Maximize Contribution" Becomes