The optimal solution of this linear programming problem is at the intersection of constraints 1 and 2. Max 3x₁ + x₂ s.t. 4x₁ + x₂ ≤ 400 4x + 3x₂ ≤ 600 X₁ + 2x₂ ≤ 300 X1, X₂20 (a) Over what range can the coefficient of x₁ vary before the current solution is no longer optimal? (Round your answers to two decimal places.) to (b) Over what range can the coefficient of x₂ vary before the current solution is no longer optimal? (Round your answers to two decimal places.) to (c) Compute the dual value for the first constraint. Compute the dual value for the second constraint. Compute the dual value for the third constraint.

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The optimal solution of this linear programming problem is at the intersection of constraints 1 and 2.
Max 3x₁ + x₂
s.t.
4x₁ + x₂ ≤ 400
4x + 3x₂ ≤ 600
X₁ + 2x₂ ≤ 300
X1, X₂20
(a) Over what range can the coefficient of x₁ vary before the current solution is no longer optimal? (Round your answers to two decimal places.)
to
(b) Over what range can the coefficient of x₂ vary before the current solution is no longer optimal? (Round your answers to two decimal places.)
to
(c) Compute the dual value for the first constraint.
Compute the dual value for the second constraint.
Compute the dual value for the third constraint.
Transcribed Image Text:The optimal solution of this linear programming problem is at the intersection of constraints 1 and 2. Max 3x₁ + x₂ s.t. 4x₁ + x₂ ≤ 400 4x + 3x₂ ≤ 600 X₁ + 2x₂ ≤ 300 X1, X₂20 (a) Over what range can the coefficient of x₁ vary before the current solution is no longer optimal? (Round your answers to two decimal places.) to (b) Over what range can the coefficient of x₂ vary before the current solution is no longer optimal? (Round your answers to two decimal places.) to (c) Compute the dual value for the first constraint. Compute the dual value for the second constraint. Compute the dual value for the third constraint.
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