The term feasible region is mostly used in a linear programming problem. Answer: The feasible region is the common region determined by all the constraints in the linear programming problem. Let us understand a feasible region using an example. Explanation: The region containing all the feasible solutions of a linear programming problem is ...

To find the feasible region in a linear programming problem the steps are as follows: Draw the straight lines of the linear inequalities of the constraints. Use the "≤" and "≥" signs to denote the feasible region of each constraint. The region common to all constraints will be the feasible region for the linear programming problem.

A feasible region is an area defined by a set of coordinates that satisfy a system of inequalities. The region satisfies all restrictions imposed by a linear programming scenario. The concept is an optimization technique.

A corner point of a feasible region is a point in the region which is the _____ of two boundary lines.

A feasible region is an area defined by a set of coordinates that satisfy a system of inequalities. The region satisfies all restrictions imposed by a linear programming scenario. The concept is an optimization technique.

Match the description of the feasible region for a linear programming problem with the corresponding description of the existence of optimal solutions. the feasible region is bounded Choose the feasible region is unbounded and the coefficients of the objective function are positive [Choose] the maximum value of the objective function exists but the minimum value does not …

The feasible region is unbounded because the value of the solution may be made infinitely large without violating any of the constraints. The feasible region is not unbounded. (c) Find the optimal solution. (A, B) = ((d) Does an unbounded feasible region imply that the optimal solution to the linear program will be unbounded? Yes No

The feasible region for a linear program is defined by these constraints: 3A – 2B ≥ 0; 2A – 1B ≤ 200; 1A ≤ 150; A ≥ 0; B ≥ 0. Which of the following statements is true about this linear program? A. When maximizing (A+B), the optimal objective value is 375. B. (150, 150) is a corner point of the feasible region. C.

The feasible region of a Linear Program is given below. The objective function and constraints of this problem are Min 3x1+2x2 Subject to 2x1 +x2 2 10 x1 +X226 2 20 a) What are the extreme points of the feasible region? Based on this, is the solution bounded? If so …

a. Sketch the feasible region for this model. b. What is the optimal solution? c. Identify any redundant constraints in this model.