Solve the linear programming Maximize: P = x + 2y-z Verify your Solution Start: X2424 11252 -1 -2 73551 EHOOO 1 0 0 1 0 OOTOK 0 1 0 problem using the Simplex method: W 0 0 1 0 Subject to: 1. 2x+y+z≤ 14 (constraints) 2. 4x + 2y + 3zs 28 3. 2x + 5y + 5z ≤ 30 4. x ≥ 0, y ≥ 0, z 20 0 0 0 1 14 28 130 10

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Chapter6: Linear Systems
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4.1 

Solve the linear programming problem using the Simplex method:

 

### Solving Linear Programming Problems using the Simplex Method

#### Objective:
Maximize \( P = x + 2y - z \)

#### Subject to Constraints:
1. \( 2x + y + z \leq 14 \)
2. \( 4x + 2y + 3z \leq 28 \)
3. \( 2x + 5y + 5z \leq 30 \)
4. \( x \geq 0, y \geq 0, z \geq 0 \)

#### Simplex Tableau Initialization:
\[ 
\begin{array}{|c|c|c|c|c|c|c|c|}
\hline
 & x & y & z & u & v & w & P & c \\
\hline
\text{Start:} & 2 & 1 & 1 & 1 & 0 & 0 & 0 & 14 \\
 & 4 & 2 & 3 & 0 & 1 & 0 & 0 & 28 \\
 & 2 & 5 & 5 & 0 & 0 & 1 & 0 & 30 \\
\hline
\text{} & -1 & -2 & 1 & 0 & 0 & 0 & 1 & 0 \\
\hline
\end{array}
\]

#### Solution Extraction:
Please fill out the following once you've computed the solution:
- \( X = \_\_\_\_\_\_\_\_ \)
- \( Y = \_\_\_\_\_\_\_\_ \)
- \( Z = \_\_\_\_\_\_\_\_ \)
- \( P = \_\_\_\_\_\_\_\_ \)

#### Visual Description of the Tableau:
The table above is a standard initial simplex tableau for solving the given linear programming problem. It includes:
- Decision variables \(x\), \(y\), and \(z\).
- Slack variables \(u\), \(v\), and \(w\) added to convert inequalities to equalities.
- The column for the objective function \(P\), and 
- The constants column \(c\) representing the right-hand side of the inequalities.

#### Instructions:
1. Identify the pivot element to enter the basis.
2. Perform the row operations to update the tableau.
3
Transcribed Image Text:### Solving Linear Programming Problems using the Simplex Method #### Objective: Maximize \( P = x + 2y - z \) #### Subject to Constraints: 1. \( 2x + y + z \leq 14 \) 2. \( 4x + 2y + 3z \leq 28 \) 3. \( 2x + 5y + 5z \leq 30 \) 4. \( x \geq 0, y \geq 0, z \geq 0 \) #### Simplex Tableau Initialization: \[ \begin{array}{|c|c|c|c|c|c|c|c|} \hline & x & y & z & u & v & w & P & c \\ \hline \text{Start:} & 2 & 1 & 1 & 1 & 0 & 0 & 0 & 14 \\ & 4 & 2 & 3 & 0 & 1 & 0 & 0 & 28 \\ & 2 & 5 & 5 & 0 & 0 & 1 & 0 & 30 \\ \hline \text{} & -1 & -2 & 1 & 0 & 0 & 0 & 1 & 0 \\ \hline \end{array} \] #### Solution Extraction: Please fill out the following once you've computed the solution: - \( X = \_\_\_\_\_\_\_\_ \) - \( Y = \_\_\_\_\_\_\_\_ \) - \( Z = \_\_\_\_\_\_\_\_ \) - \( P = \_\_\_\_\_\_\_\_ \) #### Visual Description of the Tableau: The table above is a standard initial simplex tableau for solving the given linear programming problem. It includes: - Decision variables \(x\), \(y\), and \(z\). - Slack variables \(u\), \(v\), and \(w\) added to convert inequalities to equalities. - The column for the objective function \(P\), and - The constants column \(c\) representing the right-hand side of the inequalities. #### Instructions: 1. Identify the pivot element to enter the basis. 2. Perform the row operations to update the tableau. 3
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