In the graphical model of linear programming the region defined by the constraints and the non-negative restrictions is the: A. non-negativity restrictions B. objective function C. feasible solution region D. constraints E. None of the above

The correct answer is C. feasible solution region.

The feasible solution region is the set of all points that satisfy all of the constraints in a linear programming problem. It is a convex set, meaning that any line segment connecting two points in the feasible solution region is also in the feasible solution region.

The non-negativity restrictions are a type of constraint that requires all of the variables in a linear programming

problem to be non-negative. This means that the values of the variables cannot be negative.

The objective function is a mathematical expression that defines the goal of a linear programming problem. It is typically a linear function of the variables in the problem.

The constraints are the

mathematical expressions that define the feasible solution region. They are typically linear inequalities or equations.

E is not the correct answer because it is not a valid option.