Linear programming is useful for solving optimization problems involving:
A) both linear and nonlinear constraints.
B) both linear and nonlinear objectives.
C) linear objectives and nonlinear constraints.
D) linear objectives and linear constraints.
E) a small number of decision variables.

Question

Quizplus · Accepted Answer

Linear programming is specifically designed to solve optimization problems with linear objectives and linear constraints. While linear programming can also handle a large number of decision variables, the other choices are not accurate descriptions of the types of problems that can be solved using linear programming.

Linear Programming Is Useful for Solving Optimization Problems Involving