2. Maximize z = (3/4)x₁ − 20x₂ + (1/2)ײ − 6x4 Subject to: (1/4)x₁ − 8x₂ − x₂ + 9x ≤0 (1/2)x₁ - 12x₂ - (1/2)x₂ + 3x x3 ≤0 X₁ X₂ X3 X 20 Requirements: Using simplex method, show that the solution enters a repetitive sequence of iterations, never improving the objective value and never ≤0 satisfying the optimality condition. Notice that the starting all-slack basic feasible solution at iteration 0 will reappear identically in iteration 6.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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2. Maximize z = (3/4)x₁ − 20x₂ + (1/2)ײ − 6x4
Subject to:
(1/4)x₁ − 8x₂ − x₂ + 9x ≤0
(1/2)x₁ - 12x₂ - (1/2)x₂ + 3x
x3 ≤0
X₁ X₂ X3x₁₂20
Requirements: Using simplex method, show that the
solution enters a repetitive sequence of iterations,
never improving the objective value and never
≤0 satisfying the optimality condition. Notice that the
starting all-slack basic feasible solution at iteration 0
will reappear identically in iteration 6.
Transcribed Image Text:2. Maximize z = (3/4)x₁ − 20x₂ + (1/2)ײ − 6x4 Subject to: (1/4)x₁ − 8x₂ − x₂ + 9x ≤0 (1/2)x₁ - 12x₂ - (1/2)x₂ + 3x x3 ≤0 X₁ X₂ X3x₁₂20 Requirements: Using simplex method, show that the solution enters a repetitive sequence of iterations, never improving the objective value and never ≤0 satisfying the optimality condition. Notice that the starting all-slack basic feasible solution at iteration 0 will reappear identically in iteration 6.
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