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2. Determine whether the following problem has alternative optimal solutions in the tableau format). If so,...
Find all the basic solutions for the following LP problems using the Gauss– Jordan elimination method....
Find all the basic solutions for the following LP problems using the Gauss– Jordan elimination method. Identify basic feasible solutions and show them on graph paper. Maximize z = 4x1 + 2x2 subject to −2x1 + x2 ≤ 4 x1 + 2x2 ≥ 2 x1, x2 ≥ 0
1. Apply the simplex method to solve the following LP. Use the tableau format. You should...
1. Apply the simplex method to solve the following LP. Use the tableau format. You should show that you know the simplex method, standard forms and optimality criteria. Don't worry about arithmetic and do not do more than 2 iterations. Comment on an optimal solution. maximize subject to 21 + 2x2 – x1 + x2 = 2 —2x1 + x2 <1 x1, x2 > 0
Use the simplex algorithm to find all optimal solutions to the following LP. max z=2x1+x2 s.t....
Use the simplex algorithm to find all optimal solutions to the following LP. max z=2x1+x2 s.t. 4x1 + 2x2 ≤ 4 −2x1 + x2 ≤ 2 x1 ≥1 x1,x2 ≥0
Consider the following linear program: Maximize Z-3xI+2x2-X3 Subject to:X1+X2+2 X3s 10 2x1-X2+X3 s20 3 X1+X2s15 X1, X2,...
Consider the following linear program: Maximize Z-3xI+2x2-X3 Subject to:X1+X2+2 X3s 10 2x1-X2+X3 s20 3 X1+X2s15 X1, X2, X320 (a) Convert the above constraints to equalities. (2 marks) (b) Set up the initial simplex tableau and solve. (9 marks)
Consider the following linear program: Maximize Z-3xI+2x2-X3 Subject to:X1+X2+2 X3s 10 2x1-X2+X3 s20 3 X1+X2s15 X1, X2, X320 (a) Convert the above constraints to equalities. (2 marks) (b) Set up the initial simplex tableau and solve. (9 marks)
if you could only charge $18 for chairs, how is your optimal solution change? Variable Cells...
if you could only charge $18 for chairs, how is your optimal
solution change?
Variable Cells Allowable Increase Name Decision Variables X1 Decision Variables X2 Decision Variables X3 Final Value 2.0 0.0 8.0 Reduced Objective Cost Coefficient 0.0 60.0 -5.0 30.0 0.0 20.0 Allowable Decrease 20.0 4.0 5.0 1000000000000000000000000000000.0 2.5 5.0 Constraints Allowable Decrease Name Lumber bdft) Total Finishing (hrs) Total Carpentry (hrs) Total Tables demand (hrs) Final Value 24.0 20.0 8.0 0.0 Shadow Constraint Allowable Price R.H Side Increase...
Please use the big M method to solve the following linear program. Write down all tableau,...
Please use the big M method to solve the following linear
program. Write down all tableau, note basic variables and nonbasic
variables. Use slack and artificial variables. Construct your
tableau iterations using the standard form of the program. For
example first line z+2x1-2x2+2x3=0. If possible, STATE THE OPTIMAL
SOLUTION AND THE OPTIMAL VALUE. Otherwise state why you cannot find
them.
Consider the following linear program: 2x3 max z= –2x1 + s.t. + -x1 21 > 0, 2x2 - 2x2 +...
Explain the process of this problem to approach the correct answer. Thank you following Linear Programming...
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.
(1 point) Consider the following maximization problem. Maximize P = 9x1 + 7x2 + x3 subject...
(1 point) Consider the following maximization problem. Maximize P = 9x1 + 7x2 + x3 subject to the constraints 13x1 x1 - x2 + 6x2 + - 10x3 12x3 = = 20 56 xi 20 x2 > 0 X3 > 0 Introduce slack variables and set up the initial tableau below. Keep the constraints in the same order as above, and do not rescale them. P X X2 X3 S1 RHS
Duality Theory : Consider the following LP problem: Maximize Z = 2x1 + x2 - x3...
Duality Theory : Consider the following LP problem: Maximize Z = 2x1 + x2 - x3 subject to 2x1 + x2+ x3 ≤ 8 4x1 +x2 - x3 ≤ 10 x1 ≥ 0, x2 ≥ 0, x3 ≥ 0. (a) Find the dual for this LP (b) Graphically solve the dual of this LP. And interpret the economic meaning of the optimal solution of the dual. (c) Use complementary slackness property to solve the max problem (the primal problem). Clearly...
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...
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...
1. Apply the simplex method to solve the following LP. Use the tableau format. You should show that you know the simplex method, standard forms and optimality criteria. Don't worry about arithmetic and do not do more than 2 iterations. Comment on an optimal solution. maximize subject to 21 + 2x2 – x1 + x2 = 2 —2x1 + x2 <1 x1, x2 > 0
Consider the following linear program: Maximize Z-3xI+2x2-X3 Subject to:X1+X2+2 X3s 10 2x1-X2+X3 s20 3 X1+X2s15 X1, X2, X320 (a) Convert the above constraints to equalities. (2 marks) (b) Set up the initial simplex tableau and solve. (9 marks)
Consider the following linear program: Maximize Z-3xI+2x2-X3 Subject to:X1+X2+2 X3s 10 2x1-X2+X3 s20 3 X1+X2s15 X1, X2, X320 (a) Convert the above constraints to equalities. (2 marks) (b) Set up the initial simplex tableau and solve. (9 marks)
if you could only charge $18 for chairs, how is your optimal
solution change?
Variable Cells Allowable Increase Name Decision Variables X1 Decision Variables X2 Decision Variables X3 Final Value 2.0 0.0 8.0 Reduced Objective Cost Coefficient 0.0 60.0 -5.0 30.0 0.0 20.0 Allowable Decrease 20.0 4.0 5.0 1000000000000000000000000000000.0 2.5 5.0 Constraints Allowable Decrease Name Lumber bdft) Total Finishing (hrs) Total Carpentry (hrs) Total Tables demand (hrs) Final Value 24.0 20.0 8.0 0.0 Shadow Constraint Allowable Price R.H Side Increase...
Please use the big M method to solve the following linear
program. Write down all tableau, note basic variables and nonbasic
variables. Use slack and artificial variables. Construct your
tableau iterations using the standard form of the program. For
example first line z+2x1-2x2+2x3=0. If possible, STATE THE OPTIMAL
SOLUTION AND THE OPTIMAL VALUE. Otherwise state why you cannot find
them.
Consider the following linear program: 2x3 max z= –2x1 + s.t. + -x1 21 > 0, 2x2 - 2x2 +...
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.
(1 point) Consider the following maximization problem. Maximize P = 9x1 + 7x2 + x3 subject to the constraints 13x1 x1 - x2 + 6x2 + - 10x3 12x3 = = 20 56 xi 20 x2 > 0 X3 > 0 Introduce slack variables and set up the initial tableau below. Keep the constraints in the same order as above, and do not rescale them. P X X2 X3 S1 RHS
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...
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