4 min z = 3x1 s.t. 2x1 + x2 2 6 3x1 + 2x2 = 4 X1, X2 2 0

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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Use the Big M method to solve the following LPs:

4 min z = 3x1
s.t.
2x1 + x2 2 6
3x1 + 2x2 = 4
X1, X2 2 0
Transcribed Image Text:4 min z = 3x1 s.t. 2x1 + x2 2 6 3x1 + 2x2 = 4 X1, X2 2 0
Expert Solution
Step 1

The given LPP problem,

min Z=3x1

Subject to the constraints,

2x1+x263x1+2x2=4x1,x20

Using the Big M method to solve the LPP.

Step 2

The given LPP problem,

min Z=3x1

Subject to the constraints,

2x1+x263x1+2x2=4x1,x20

The problem is converted into canonical form by adding slack, surplus, and artificial variables as appropriate.

1. As the constraint-1 is of type '' we should subtract the surplus variable S1 and add the artificial variable A1.

2. As the constraint-2 is of type '=' we should add the artificial variable A2.

After introducing surplus, artificial variables.

min Z=3x1+0x2+0S1+MA1+MA2

Subject to the constraints,

2x1+x2-S1+A1=63x1+2x2+A2=4x1, x2, S1, A1, A20

Step 3

First iteration:

Iteration-1   Cj 3 0 0 M M  
B CB XB x1 x2 S1 A1 A2

Min Ratio

XBx1

A1 M 6 2 1 -1 1 0 62=3
A2 M 4 3 2 0 0 1 43=1.3333
z=10M   Zj 5M 3M -M M M  
    Zj-Cj 5M-3 3M -M 0 0  

Positive maximum Zj-Cj is 5M-3. So the entering variable is x1.

Minimum ratio is 1.3333. So the leaving basis variable is A2.

Therefore the pivot element is 3.

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