Question

Solve the following linear programming model graphically and mathematically. Minimize C = 8x1 + 2x2 Subject...

Solve the following linear programming model graphically and mathematically.

Minimize C = 8x1 + 2x2

Subject to 2x1 – 6x2 ≤ 12

5x1 + 4x2 ≥ 40

x1 +2x2 ≥ 12

x2 ≤ 6

x1, x2 ≥ 0

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Solve the following linear programming problem graphically: Minimize cost = 4X1 + 5X2 Subject to: X1...
Solve the following linear programming problem graphically: Minimize cost = 4X1 + 5X2 Subject to: X1 + 2X2 > (or equal to) 80 3X1 + X2 > (or equal to) 75 X1, X2 > 0
Solve the following linear programs graphically. Minimize            Z = 6X1 - 3X2 Subject to            2X1 +...
Solve the following linear programs graphically. Minimize            Z = 6X1 - 3X2 Subject to            2X1 + 5X2 ≥ 10                             3X1 + 2X2 ≤ 40                            X1, X2 ≤ 15
solve the linear programming problem below using the simplex method. show all work of simplex method,...
solve the linear programming problem below using the simplex method. show all work of simplex method, including initial simplex tableau. Identify pivot column/row and row operations performed to pivot. Maximize z= 2x1+5x2 subject to 5x1+x2<=30 5x1+2x2<=50 x1+x2<=40 x1, x2 >=0
solve the following model graphically: maximize 2x1 +7x2 subject to: 9x1 +7x2 ≤ 63 5x1 +8x2...
solve the following model graphically: maximize 2x1 +7x2 subject to: 9x1 +7x2 ≤ 63 5x1 +8x2 ≤ 40 9x1 −15x2 ≥ 0 x1 ≥ 3 x2 ≤ 4 x1, x2 ≥ 0 Take care to identify and label the feasible region, feasible points, optimal isovalue line and use algebra to determine the optimal solution.
a. Solve the following linear programming model by using the graphical method: graph the constraints and...
a. Solve the following linear programming model by using the graphical method: graph the constraints and identify the feasible region then determine the optimal solution (s) (show your work). Minimize Z = 3x1 + 7x2 Subject to 9x1 + 3x2 ≥ 36 4x1 + 5x2 ≥ 40 x1 – x2 ≤ 0 2x1 ≤ 13 x1, x2 ≥ 0 b. Are any constraints binding? If so, which one (s)?
Solve the following linear programming model graphically and explain the solution result. Maximize Z = 60x1...
Solve the following linear programming model graphically and explain the solution result. Maximize Z = 60x1 + 90x2 Subject to 60x1 + 30x2 <= 1500 100x1 + 100x2 >= 6000 x2 >= 30 x1, x2 >= 0
Solve the following linear programming model by using the graphical method: graph the constraints and identify...
Solve the following linear programming model by using the graphical method: graph the constraints and identify the feasible region. Using the corner points method, determine the optimal solution (s) (show your work). Maximize Z = 6.5x1 + 10x2 Subject to x1 + x2 ≤ 15 2x1 + 4x2 ≤ 40 x1 ≥ 8 x1, x2 ≥ 0 b. If the constraint x1 ≥ 8 is changed to x1 ≤ 8, what effect does this have on the optimal solution? Are...
Minimize Z = X1+2X2 Subject to -X1+X2 ? 15 2X1+X2 ? 90 X2 ? 30 And...
Minimize Z = X1+2X2 Subject to -X1+X2 ? 15 2X1+X2 ? 90 X2 ? 30 And X1 ? 0, X2 ? 0 a.) Solve this graphically b.) Develop a table giving each of the CPF solutions and the corresponding defining equations, BF solutions, and non-basic variables.
Consider the following linear programming problem. Maximize        6X1 + 4X2 Subject to:                     &nbs
Consider the following linear programming problem. Maximize        6X1 + 4X2 Subject to:                         X1 + 2X2 ≤ 16                         3X1 + 2X2 ≤ 24                         X1  ≥ 2                         X1, X2 ≥ 0 Use Excel Solver to find the optimal values of X1 and X2. In other words, your decision variables: a. (10, 0) b. (12, 2) c. (7, 5) d. (0, 10)
Solve the following LP problem graphically; confirm your results using Solver in MS Excel. Maximize profit...
Solve the following LP problem graphically; confirm your results using Solver in MS Excel. Maximize profit = 20x1 + 10x2 Subject to: 5x1 + 4x2 ≤ 250 2x1 + 5x2 ≤ 150 x1, x2 ≥ 0