The feasible region is th eregion bounded by corner points as shown below:
The value of the objective funcion at each corner point is:
Objective value (Z) | |
(0,5) | 3x0 + 2x5 = 10 |
(3,4) | 3x3 + 2x4 = 17 |
(4,2) | 3x4 + 2x2 = 16 |
(4,0) | 3x4 + 2x0 = 12 |
The maximum value (optimal) is 17 hence, optimal solution occurs at = (3,4)
alim Universitesi LMS adi Consider the following linear programming model Maximize z = 3x1 + 2...
Explain the process of this problem to approach the correct answer. Thank you following Linear Programming (LP) Consider the problem. Minimize Z= 4x1 + 2x2 Subject to (soto). 2x1 - x2 x1 + 2x2 X1 + x2 IVAN 1003 and Xizo x220 a. draw the feasible region and the objective function line bo Indicate all Corner point feasible solutions and the optimal Solution.
Problem #5 -- Consider the following linear programming problem: Maximize Z = 2x1 + 4x2 + 3x3 subject to: X1 + 3x2 + 2x3 S 30 best to X1 + x2 + x3 S 24 3x1 + 5x2 + 3x3 5 60 and X120, X220, X3 2 0. You are given the information that x > 0, X2 = 0, and x3 >O in the optimal solution. Using the given information and the theory of the simplex method, analyze the...
2. Consider the following linear model where c has not yet been defined. Max z = C1x1 + x2 s.t. X1 + X2 <6 X1 + 2.5x2 < 10 X1 2 0,X220 Use the graphical approach that we covered to find the optimal solution, x*=(x,x) for all values of - Sci so Hint: First draw the feasible region and notice that there are only a few corner points that can be the optimal solution. Also remember that if the objective...
2. Consider the following linear model where c has not yet been defined. Max z = C1x1 + x2 s.t. X1 + X2 <6 X1 + 2.5x2 < 10 X1 2 0,X220 Use the graphical approach that we covered to find the optimal solution, x*=(x,x) for all values of - Sci so Hint: First draw the feasible region and notice that there are only a few corner points that can be the optimal solution. Also remember that if the objective...
Consider the following LP problem: Minimize Cost = 3x1 + 2x2 s.t. 1x1 + 2x2 ≤ 12 2x1 + 3 x2 = 12 2 x1 + x2 ≥ 8 x1≥ 0, x2 ≥ 0 A) What is the optimal solution of this LP? Give an explanation. (4,0) (2,3) (0,8) (0,4) (0,6) (3,2) (12,0) B)Which of the following statements are correct for a linear programming which is feasible and not unbounded? 1)All of the above. 2)Only extreme points may be optimal....
Use the simplex method to solve the linear programming problem. Maximize subject to z=900x4 + 800x2 + 400x3 X1 + x2 + x3 = 110 2X1 + 3x2 + 4x3 = 340 2xy + x2 + x3 180 X1 20, X220, X3 20. Select the correct choice below and, if necessary, fill in the answer boxes to complete your choice. O A. The maximum is when x1 = ,x2 = , x3 = ,s2 = ,s2 =), and s3 =...
2. Consider the following linear model where C1 has not yet been defined. Max s.t. z = C1x1 + x2 X1 + x2 = 6 X1 + 2.5x2 < 10 X1 > 0, x2 > 0 Use the graphical approach that we covered to find the optimal solution, x*=(x1, xỉ) for all values of -00 < ci so. Hint: First draw the feasible region and notice that there are only a few corner points that can be the optimal solution....
Solve the following linear programming problem using Two Phase method [12M] Maximize z = 3X1 - 3X2 + X3 Subject to X; + 2x, - xz 25 - 3x; – x2 + x3 54 47, X2, X3 20.
2a. Consider the following problem. Maximize 17-Gri +80 Subject to 5x1 + 2x2 320 i 212 10 and Construct the dual problem for the above primal problem solve both the primal problem and the dual problem graphically. Identify the corner- point feasible (CPF) solutions and comer-point infeasible solutions for both problems. Calculate the objective function values for all these values. Identify the optimal solution for Z. I 피 University 2b. For each of the following linear programming models write down...
+ Use the simplex method to solve the linear programming problem. Maximize z= 2X2 + 3x2 subject to: 5x1 + x2 = 70 3x4 + 2x2 5 90 X1 + X2 580 X1, X220. with Select the correct choice below and, if necessary, fill in the answer boxes to complete your choice. A. The maximum is when X1 = and X2 (Simplify your answers.) OB. There is no maximum.