1. Suppose that x₁ = 0, 2 = 2, x3 = 0 is an optimal solution to the linear programming problem Maximize x1 + 3x2 + x3 subject to x1 + x2 + 2x3 ≤ 3 x1 + 2x2 + x3 ≤ 4 2x₁ +2 +3 ≤5 1 ≥0, 220, 23 ≥0. Using the principle of complementary slackness and the duality theorem, find an optimal solution to the dual problem. What value will the objective function of the dual problem have at this optimal solution?

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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1. Suppose that x₁ = 0, x2 = 2, x3 = 0 is an optimal solution to the linear programming problem
Maximize zi + 3x2 + x3
subject to
21 ≥ 0
x1 + x2 + 2x3 ≤ 3
1 + 2x2 + x3 ≤ 4
2x1 + x₂ + x3 ≤5
"
12 ≥0, 23 20.
Using the principle of complementary slackness and the duality theorem, find an optimal solution to
the dual problem. What value will the objective function of the dual problem have at this optimal
solution?
Transcribed Image Text:1. Suppose that x₁ = 0, x2 = 2, x3 = 0 is an optimal solution to the linear programming problem Maximize zi + 3x2 + x3 subject to 21 ≥ 0 x1 + x2 + 2x3 ≤ 3 1 + 2x2 + x3 ≤ 4 2x1 + x₂ + x3 ≤5 " 12 ≥0, 23 20. Using the principle of complementary slackness and the duality theorem, find an optimal solution to the dual problem. What value will the objective function of the dual problem have at this optimal solution?
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