Consider the following problem: max 2x₁ - 4x₂ s. t.: X₁ X₂ ≤ 1 X₁, X₂ ≥ 0 a) Construct the dual problem and find its optimal solution by inspection. b) Use the complementary slackness property and the optimal solution of the dual problem to find the optimal solution of the primal problem. c) Suppose that c₁, the coefficient of x₁ in the primal objective function, can have any value in the model. For what values of c₁ does the dual problem have no feasible solutions? For these values, what does duality theory then imply about the primal problem?

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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Consider the following problem:
max 2x₁ - 4x₂
s. t.:
X₁ X₂ ≤ 1
X₁, X₂ ≥ 0
a) Construct the dual problem and find its optimal solution by inspection.
b) Use the complementary slackness property and the optimal solution of the dual problem to find
the optimal solution of the primal problem.
c)
Suppose that c₁, the coefficient of x₁ in the primal objective function, can have any value in the
model. For what values of c₁ does the dual problem have no feasible solutions? For these values,
what does duality theory then imply about the primal problem?
Transcribed Image Text:Consider the following problem: max 2x₁ - 4x₂ s. t.: X₁ X₂ ≤ 1 X₁, X₂ ≥ 0 a) Construct the dual problem and find its optimal solution by inspection. b) Use the complementary slackness property and the optimal solution of the dual problem to find the optimal solution of the primal problem. c) Suppose that c₁, the coefficient of x₁ in the primal objective function, can have any value in the model. For what values of c₁ does the dual problem have no feasible solutions? For these values, what does duality theory then imply about the primal problem?
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