The iso-profit solution method can only be used to solve maximization problems.

Any linear programming problem can be solved using the graphical solution.

The set of solution points that satisfies all of a linear programming problem's constraints simultaneously is defined as the feasible region in graphical linear programming.

An objective function is necessary in a maximization problem but is not required in a minimization problem.

A constraint is a mathematical expression in linear programming that maximizes or minimizes some quantity.

The value of one additional unit of a resource in a linear programming model is the shadow price.

A minimization linear programming problem cannot be solved graphically.

The simplex method can be used to solve linear programming problems.