min z = 8x₁ + 11x₂ + 9x 2 3 s.t 15x + 13x+19x ≤ 450 1 2 3 16x + 15x + 18x ≥ 490 2 3 5x + 4x+10x ≤ 200 1 2 3 2x₂ + 5x²₂ ≤ 50 3 3x _ > 45 1 X x ₁³ x 2² x 3 ≥ 0 1' 2⁹

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Chapter2: Introduction To Spreadsheet Modeling
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The following is a linear programming problem aimed at minimizing the objective function:

**Objective Function:**

\[ \text{min } z = 8x_1 + 11x_2 + 9x_3 \]

**Subject to Constraints (s.t.):**

1. \[ 15x_1 + 13x_2 + 19x_3 \leq 450 \]
2. \[ 16x_1 + 15x_2 + 18x_3 \geq 490 \]
3. \[ 5x_1 + 4x_2 + 10x_3 \leq 200 \]
4. \[ 2x_2 + 5x_3 \leq 50 \]
5. \[ 3x_1 \geq 45 \]

**Non-negativity Constraints:**

\[ x_1, x_2, x_3 \geq 0 \]

This problem involves optimizing (minimizing) a linear function of three variables \(x_1\), \(x_2\), and \(x_3\), within a set of linear inequality constraints. The aim is to find the values of \(x_1\), \(x_2\), and \(x_3\) that result in the smallest possible value of \(z\) while satisfying all constraints.
Transcribed Image Text:The following is a linear programming problem aimed at minimizing the objective function: **Objective Function:** \[ \text{min } z = 8x_1 + 11x_2 + 9x_3 \] **Subject to Constraints (s.t.):** 1. \[ 15x_1 + 13x_2 + 19x_3 \leq 450 \] 2. \[ 16x_1 + 15x_2 + 18x_3 \geq 490 \] 3. \[ 5x_1 + 4x_2 + 10x_3 \leq 200 \] 4. \[ 2x_2 + 5x_3 \leq 50 \] 5. \[ 3x_1 \geq 45 \] **Non-negativity Constraints:** \[ x_1, x_2, x_3 \geq 0 \] This problem involves optimizing (minimizing) a linear function of three variables \(x_1\), \(x_2\), and \(x_3\), within a set of linear inequality constraints. The aim is to find the values of \(x_1\), \(x_2\), and \(x_3\) that result in the smallest possible value of \(z\) while satisfying all constraints.
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