
Advanced Engineering Mathematics
10th Edition
ISBN: 9780470458365
Author: Erwin Kreyszig
Publisher: Wiley, John & Sons, Incorporated
expand_more
expand_more
format_list_bulleted
Question
![### Linear Programming Problem Using Simplex Method
**Problem Statement:**
Maximize \( P = 18x_1 + x_2 \)
**Subject to:**
\[
\begin{align*}
4x_1 + x_2 &\leq 12 \\
x_1 + 8x_2 &\leq 12 \\
x_1, x_2 &\geq 0
\end{align*}
\]
### Part (A) Using Slack Variables
To convert the inequalities into equalities by adding slack variables \( s_1 \) and \( s_2 \):
1. **First Constraint:**
\[
4x_1 + x_2 + s_1 = 12
\]
2. **Second Constraint:**
\[
x_1 + 8x_2 + s_2 = 12
\]
3. **Objective Function:**
\[
P = 18x_1 + x_2
\]
The variables \( x_1, x_2, s_1, s_2 \geq 0 \).
### Part (B) Simplex Tableau
Fill in the blanks in the simplex tableau as follows:
\[
\begin{array}{c|cccc|c}
& x_1 & x_2 & s_1 & s_2 & \text{P} \\ \hline
s_1 & 4 & 1 & 1 & 0 & 12 \\
s_2 & 1 & 8 & 0 & 1 & 12 \\
\text{P} & -18 & -1 & 0 & 0 & 0 \\
\end{array}
\]
Determine the pivot element, entering variable, and exiting variable:
- **Pivot Column:** The most negative value in the objective function row is in the \( x_1 \) column.
- **Pivot Row:** Determine using the smallest positive ratio of the right-hand side to the key column, 12/4 for \( s_1 \) and 12/1 for \( s_2 \). The smallest ratio is 12/1, so pivot row is row 2.
Therefore, the pivot element is in the \( x_1 \) column and the \( s_2 \)](https://content.bartleby.com/qna-images/question/d0cd4ae9-86e1-45b4-8824-a362b78dd084/533b6d41-e1ae-47c2-a14e-0d9fb5cdcaba/w0fgn3p_thumbnail.png)
Transcribed Image Text:### Linear Programming Problem Using Simplex Method
**Problem Statement:**
Maximize \( P = 18x_1 + x_2 \)
**Subject to:**
\[
\begin{align*}
4x_1 + x_2 &\leq 12 \\
x_1 + 8x_2 &\leq 12 \\
x_1, x_2 &\geq 0
\end{align*}
\]
### Part (A) Using Slack Variables
To convert the inequalities into equalities by adding slack variables \( s_1 \) and \( s_2 \):
1. **First Constraint:**
\[
4x_1 + x_2 + s_1 = 12
\]
2. **Second Constraint:**
\[
x_1 + 8x_2 + s_2 = 12
\]
3. **Objective Function:**
\[
P = 18x_1 + x_2
\]
The variables \( x_1, x_2, s_1, s_2 \geq 0 \).
### Part (B) Simplex Tableau
Fill in the blanks in the simplex tableau as follows:
\[
\begin{array}{c|cccc|c}
& x_1 & x_2 & s_1 & s_2 & \text{P} \\ \hline
s_1 & 4 & 1 & 1 & 0 & 12 \\
s_2 & 1 & 8 & 0 & 1 & 12 \\
\text{P} & -18 & -1 & 0 & 0 & 0 \\
\end{array}
\]
Determine the pivot element, entering variable, and exiting variable:
- **Pivot Column:** The most negative value in the objective function row is in the \( x_1 \) column.
- **Pivot Row:** Determine using the smallest positive ratio of the right-hand side to the key column, 12/4 for \( s_1 \) and 12/1 for \( s_2 \). The smallest ratio is 12/1, so pivot row is row 2.
Therefore, the pivot element is in the \( x_1 \) column and the \( s_2 \)
Expert Solution

This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by stepSolved in 4 steps with 13 images

Knowledge Booster
Similar questions
- Is this constraint linear or able to be included as a constraint in a linear programming problem? 4X1 – (1/3)X2 = 75arrow_forwardFormulate but do not solve the following exercise as a linear programming problem.A division of the Winston Furniture Company manufactures x dining tables and y chairs. Each table requires 40 board feet of wood and 2 labor-hours. Each chair requires 16 board feet of wood and 4 labor-hours. In a certain week, the company has 2800 board feet of wood available and 560 labor-hours.If the profit for each table is $50 and the profit for each chair is $18, how many tables and chairs should Winston manufacture to maximize its profits P in dollars? Maximize P = subject to the constraints board feet labor-hours x ≥ 0 y ≥ 0arrow_forwardSnack A provides 10 grams of protein and costs 2 dollars, snack B provides 6 grams of protein and costs 3 dollars. You need at least 30 grams of protein a day. Let x be the number of snack A you buy and y be the number of snack B you buy. You want to minimize cost. State the linear programming problem in mathematical terms, identifying the objective function and constraints. Do not solve the problem to completion. Just state the inequalities needed and the objective function.arrow_forward
arrow_back_ios
arrow_forward_ios
Recommended textbooks for you
- Advanced Engineering MathematicsAdvanced MathISBN:9780470458365Author:Erwin KreyszigPublisher:Wiley, John & Sons, IncorporatedNumerical Methods for EngineersAdvanced MathISBN:9780073397924Author:Steven C. Chapra Dr., Raymond P. CanalePublisher:McGraw-Hill EducationIntroductory Mathematics for Engineering Applicat...Advanced MathISBN:9781118141809Author:Nathan KlingbeilPublisher:WILEY
- Mathematics For Machine TechnologyAdvanced MathISBN:9781337798310Author:Peterson, John.Publisher:Cengage Learning,

Advanced Engineering Mathematics
Advanced Math
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Wiley, John & Sons, Incorporated

Numerical Methods for Engineers
Advanced Math
ISBN:9780073397924
Author:Steven C. Chapra Dr., Raymond P. Canale
Publisher:McGraw-Hill Education

Introductory Mathematics for Engineering Applicat...
Advanced Math
ISBN:9781118141809
Author:Nathan Klingbeil
Publisher:WILEY

Mathematics For Machine Technology
Advanced Math
ISBN:9781337798310
Author:Peterson, John.
Publisher:Cengage Learning,

