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- (a) Write the optimization problem above as a linear program (b) Argue that the solution occurs at x ∗ = 1/2 (b1 + bm), the midrange of the data pointsConsider the followingg linear programming problem: Max 3A + 3Bst. 2A + 4B ≤ 12 6A + 4B ≤ 24 A, B ≥ 0 The point (4.0,0.0) is: a. unbounded. b. is one of the extreme points. c. the optimal solution. d. infeasible.Consider the followingg linear programming problem: Max 3A + 3Bst. 2A + 4B ≤ 12 6A + 4B ≤ 24 A, B ≥ 0 The point (0.0,0.0) is: a. infeasible. b. is one of the extreme points. c. the optimal solution. d. unbounded
- (5) Consider the following linear programming model with 4 regular constraints:Maximize 3X + 5Y (a) Draw your graph in the space below:subject to: 4X + 4Y ≤ 48 (constraint #1) 4X + 3Y ≤ 50 (constraint #2) 2X + 1Y ≤ 20 (constraint #3) X ≥ 2 (constraint #4) X, Y ≥ 0 (non-negativity constraints)(a) Which of the constraints is redundant? Constraint #______.Justify by drawing a graph similar to Figure 7.14 on p.263.(b) Is point (9,3) a feasible solution? _____. Explain your answer (by analyzing each of the constraints).Constraint #1: _______________________________________________________________Constraint #2: _______________________________________________________________Constraint #3: _______________________________________________________________Constraint #4: _______________________________________________________________(c) Which of the following points yields the best solution? Underline the best solution: (7,5), (9,2), (6,6).Justify your answer (using the data from the above LP…Consider the followingg linear programming problem: Max 3A + 3Bst. 2A + 4B ≤ 12 6A + 4B ≤ 24 A, B ≥ 0 The point (0.0,6.0) is: a. the optimal solution. b. is one of the extreme points. c. infeasible. d. unbounded.Solve the linear programming problem by the method of corners. Minimize C = 6x + 7y subject to 4x + y ≥ 42 2x + y ≥ 30 x + 3y ≥ 30 x ≥ 0, y ≥ 0 The minimum is C = at (x, y) =
- Consider the following linear programming model: maximize Z = 3x1 + 2x2 subject to : x1 +x2 ≤ 1 x1 + x2 ≥ 2 x1,x2 ≥ 0 a) Write this model in a standard (augmented) form. (i.e. Introduce slack/surplus, artificial etc.)b) Constract the initial simplex tableau and carry on your calculations to solve this model using the simplex method. Interpret your result.Consider the following LP problem: Min 6X+ 27Y Subject to : 2 X + 9Y => 25, and X + Y <= 75. Pick a suitable statement for this problem: a. X=37.5, Y=37.5 is the only optimal solution. b. Optimal Obj. function value is 75 c. X = 0, Y = 0 is the only optimal solution. d. Optimal Obj. function value is 0A linear programming problem is given as follows:min ? = −4?1 + ?2Subject to 8?1 + 2?2 ≥ 164?1 + 2?2 ≤ 12?1 ≤ 6?2 ≤ 4?1, ?2 ≥ 0 I) Find the A, B, C, D, E, F, and G points on the plot below II) Identify the feasible solution area graphically on the following plot (by shading thearea) III) Which points are the extreme points IV) What is the solution of the optimization problem? (x1=?,x2=?,z=?) Show your work V) Which change will make the problem have multiple optimal solutions? If there is more than one answer, choose all.a) Increase of the coefficient of ?1 on the objective function to 4b) Increase of the coefficient of ?1 on the objective function to 2c) Decrease of the coefficient of ?1 on the objective function to -8d) Increase of the coefficient of ?2 on the objective function to -8e) None VI) If new constraints, ?1≤4 and ?2≤6, are added to the given problem, what effect will be? (choose all the effects)a) The feasible solution area will be smaller.b) The feasible solution area will…
- 1. Consider the following linear programming formulation: Min 5x + 2y Subject to (1) 3x + 6y ≥ 18 (2) 5x + 4y ≥ 20 (3) 8x + 2y ≥ 16 (4) 7x + 6y ≤ 42 (5) x, y ≥ 0 a. Solve the problem graphically. Specifically, show each constraint and the feasible region, draw an objective function line and identify an optimal point (the solution). When reporting the optimal solution and the corresponding objective function value, you may estimate the optimal x and y values from the graph. b. What are the optimal values of x and y, using the solver add-in? What is the corresponding value of the objective function? c. How many extreme points does the feasible region have? Enumerate them. Hint: It's from the graph. d. Change the objective function to 15x + 12y.. What is the new optimal solution(s)?Consider the followingg linear programming problem: Max 3A + 3Bst. 2A + 4B ≤ 12 6A + 4B ≤ 24 A, B ≥ 0 Which of the following is the optimal solution? a. (2.0,2.0) b. (3.0, 1.5) c. (4.0,6.0) d. (6.0,0.0)Find the optimal solution to this linear programming problem. Min 3X+3Y s.t. 12X+4Y>=60 10X+5Y>=60 4X+8Y>=36 X,Y>=0 (X,Y) = ( )