Use the Simplex Algorithm to solve the following 2-D Linear Programming Problem: Maximize x + 4y subject to: x + y < 8 x -3y > 0 х +3у < 10 x > 0, y > 0 This LPP was solved geometrically in Homework III #3. Depict your elementary operations in the usual manner (and in the usual place); don't forget to state clearly at the end the solution to the LPP.
Use the Simplex Algorithm to solve the following 2-D Linear Programming Problem: Maximize x + 4y subject to: x + y < 8 x -3y > 0 х +3у < 10 x > 0, y > 0 This LPP was solved geometrically in Homework III #3. Depict your elementary operations in the usual manner (and in the usual place); don't forget to state clearly at the end the solution to the LPP.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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
Transcribed Image Text:2. Use the Simplex Algorithm to solve the following 2-D Linear Programming Problem:
Maximize x + 4y subject to:
x + y < 8
x -3y > 0
x +3y < 10
x > 0, y 2 0
This LPP was solved geometrically in Homework III #3. Depict your elementary operations in
the usual manner (and in the usual place); don't forget to state clearly at the end the solution
to the LPP.
Expert Solution

Step 1
Step 2
Iteration-1 |
Cj | 1 | 4 | 0 | 0 | 0 | -M | ||
B | CB | XB | x | y | s1 | s2 | s3 | A1 | Min ratio |
s1 | 0 | 8 | 1 | 1 | 1 | 0 | 0 | 0 | |
A1 | -M | 0 | 1 | -3 | 0 | -1 | 0 | 1 | |
s3 | 0 | 10 | 1 | 3 | 0 | 0 | 1 | 0 | |
z=0 | zj | -M | 3M | 0 | M | 0 | -M | ||
zj-cj | -M-1 | 3M-4 | 0 | M | 0 | 0 |
The most negative is -M-1 and hence the entering variable is x while the minimum ratio is 0 and hence the leaving variable is A1.
We perform the following operations,
Step 3
Iteration-2 |
Cj | 1 | 4 | 0 | 0 | 0 | ||
B | CB | XB | x | y | s1 | s2 | s3 | Min ratio |
s1 | 0 | 8 | 0 | 4 | 1 | 1 | 0 | |
x | 1 | 0 | 1 | -3 | 0 | -1 | 0 | |
s3 | 0 | 10 | 0 | 6 | 0 | 1 | 1 | |
z=0 | zj | 1 | -3 | 0 | -1 | 0 | ||
zj-cj | 0 | -7 | 0 | -1 | 0 |
The most negative is -7 and hence the entering variable is y while the least ratio is 1.667 and hence the leaving variable is s3.
We perform the following operations,
Step by step
Solved in 5 steps
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