For each of the following programs: (1) Sketch the feasible region of the program and the direction of the objective function. (2) Use you sketch to find an optimal solution to the program. State the optimal solution give the objective value for this solution. If an optimal solution does not exist, state why. (3) Transform the program into standard equation form. (4) List all basic feasible solutions of your standard equation form program. You should give the values for both the original decision variables and the slack variables in each of these basic feasible solutions. (a) maximise - 2x1 + x2 subject to X1 – x2 < 1, 2x1 – x2 > 1, 2.x1 + 2x2 > 4, X1, x2 >0

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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For each of the following programs:
(1) Sketch the feasible region of the program and the direction of the objective
function.
(2) Use you sketch to find an optimal solution to the program. State the optimal
solution give the objective value for this solution. If an optimal solution does
not exist, state why.
(3) Transform the program into standard equation form.
(4) List all basic feasible solutions of your standard equation form program. You
should give the values for both the original decision variables and the slack
variables in each of these basic feasible solutions.
(a)
maximise
– 2x1 + x2
Xị – x2 < 1,
2.x1 – x2 > 1,
subject to
-
2.x1 + 2x2 2 4,
X1, x2 > 0
(b)
maximise xı+ 2x2
subject to
-x1 + 2x2 < 6,
*1 + 3x2
12,
X1, x2 > 0
Transcribed Image Text:For each of the following programs: (1) Sketch the feasible region of the program and the direction of the objective function. (2) Use you sketch to find an optimal solution to the program. State the optimal solution give the objective value for this solution. If an optimal solution does not exist, state why. (3) Transform the program into standard equation form. (4) List all basic feasible solutions of your standard equation form program. You should give the values for both the original decision variables and the slack variables in each of these basic feasible solutions. (a) maximise – 2x1 + x2 Xị – x2 < 1, 2.x1 – x2 > 1, subject to - 2.x1 + 2x2 2 4, X1, x2 > 0 (b) maximise xı+ 2x2 subject to -x1 + 2x2 < 6, *1 + 3x2 12, X1, x2 > 0
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