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For each of the following problems, put the problem into canonical form, set up the initial tableau, and solve using the simp
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Answer #1

question A

MIN Z = 2x1 + 4x2-4x3 7x4

subject to

82.1-2T2+ 23-2.4 < 50

3r1 5r2 + 2T4 < 150

x_1 - x_2 + 2x_3 - 4x_4 leq 100

After introducing slack variables
Min Z = 22.1 +4x2-4x3 72.4 +0S1 +0S2+ 05,

subject to

8 x_1 - 2 x_2 + x_3 - x_4 + S_1 = 50

32.1 + 5x2+ 224 + S2 150

x_1 - x_2 + 2 x_3 - 4 x_4 + S_3 = 100


Iteration-1 Cj 2 4 -4 7 0 0 0
B CB XB x1 x2 x3 x4 S1 S2 S3 MinRatio
XB/x3
S1 0 50 8 -2 1 -1 1 0 0 50/1=50
S2 0 150 3 5 0 2 0 1 0 ---
S3 0 100 1 -1 (2) -4 0 0 1 100/2=50
Z=0 Zj 0 0 0 0 0 0 0
Zj-Cj -2 -4 4↑ -7 0 0 0



Positive maximum Zj-Cj is 4 and its column index is 3

Minimum ratio is 50 and its row index is 3.

The pivot element is 2.

Entering =x3, Departing =S3,

2 R3 <- R3*

R_1 leftarrow R_1-R_3


Iteration-2 Cj 2 4 -4 7 0 0 0
B CB XB x1 x2 x3 x4 S1 S2 S3 MinRatio
XB/x4
S1 0 0 15/2 -3/2 0 (1) 1 0 -1/2 0/1=0
S2 0 150 3 5 0 2 0 1 0 150/2=75
x3 -4 50 1/2 -1/2 1 -2 0 0 1/2 ---
Z=-200 Zj -2 2 -4 8 0 0 -2
Zj-Cj -4 -2 0 1↑ 0 0 -2



Positive maximum Zj-Cj is 1 and its column index is 4.

Minimum ratio is 0 and its row index is 1.

The pivot element is 1.

Entering =x4, Departing =S1,

R_2 leftarrow R_2-2R_1

R_3 leftarrow R_3+2R_2

Iteration-3 Cj 2 4 -4 7 0 0 0
B CB XB x1 x2 x3 x4 S1 S2 S3 MinRatio
x4 7 0 15/2 -3/2 0 1 1 0 -1/2
S2 0 150 -1/2 8 0 0 -2 1 1
x3 -4 50 31/2 -7/2 1 0 2 0 -1/2
Z=-200 Zj -19/2 7/2 -4 7 -1 0 -3/2
Zj-Cj -23/2 -1/2 0 0 -1 0 -3/2



Since all Zj-Cj leq 0

Hence, optimal solution is arrived

{color{Red} x_1=0,::x_2=0,::x_3=50,::x_4=0 }

Min Z=-200

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question B

MIN Z =-5x1 + 4x2 + x3

subject to

x_1 + x_2 - 3x_3 leq 8

2x_2 - 2x_3 leq 7

-x_1 - 2x_2 + 4x_3 leq 6

After introducing slack variables
Min :::Z = - 5 x_1 + 4 x_2 + x_3 + 0 S_1 + 0 S_2 + 0 S_3

subject to

x_1 + x_2 - 3 x_3 + S_1 = 8

2 x_2 - 2 x_3 + S_2 = 7

- x_1 - 2 x_2 + 4 x_3 + S_3 = 6


Iteration-1 Cj -5 4 1 0 0 0
B CB XB x1 x2 x3 S1 S2 S3 MinRatio
XB/x1
S1 0 8 (1) 1 -3 1 0 0 8/1=8
S2 0 7 0 2 -2 0 1 0 ---
S3 0 6 -1 -2 4 0 0 1 ---
Z=0 Zj 0 0 0 0 0 0
Zj-Cj 5↑ -4 -1 0 0 0



Positive maximum Zj-Cj is 5 and its column index is 1

Minimum ratio is 8 and its row index is 1.

he pivot element is 1.

Entering =x1, Departing =S1

R_3leftarrow R_3+R_1


Iteration-2 Cj -5 4 1 0 0 0
B CB XB x1 x2 x3 S1 S2 S3 MinRatio
XB/x3
x1 -5 8 1 1 -3 1 0 0 ---
S2 0 7 0 2 -2 0 1 0 ---
S3 0 14 0 -1 (1) 1 0 1 14/1=14
Z=-40 Zj -5 -5 15 -5 0 0
Zj-Cj 0 -9 14↑ -5 0 0



Positive maximum Zj-Cj is 14 and its column index is 3.

Minimum ratio is 14 and its row index is 3

The pivot element is 1.

Entering =x3, Departing =S3,

R_1leftarrow R_1+3R_3

R_2leftarrow R_2+2R_3


Iteration-3 Cj -5 4 1 0 0 0
B CB XB x1 x2 x3 S1 S2 S3 MinRatio
XBx2
x1 -5 50 1 -2 0 4 0 3 ---
S2 0 35 0 0 0 2 1 2 ---
x3 1 14 0 -1 1 1 0 1 ---
Z=-236 Zj -5 9 1 -19 0 -14
Zj-Cj 0 5↑ 0 -19 0 -14



Variable x2 should enter into the basis, but all the coefficients in the  x2 column are negative or zero. So  x2 can not be entered into the basis.

Hence, the solution to the given problem is unbounded.

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question 3

MAX Z-02.1 9T2 22.3 + 02.4-2.5 02.6

subject to

x_1 - 3x_2 - 4x_4 + 2x_6 = 60

2x_2 - x_4 - x_5 + 4x_6 = -20

x_2 + x_3 + 3x_6 = 10

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After introducing artificial variables
Max:: Z = 0 x_1 + 9 x_2 + 2 x_3 + 0 x_4 - x_5 + 0 x_6 - M A_1 - M A_2 - M A_3

subject to

x_1 - 3 x_2 - 4 x_4 + 2 x_6 + A_1 = 60

- 2 x_2 + x_4 + x_5 - 4 x_6 + A_2 = 20

x_2 + x_3 + 3 x_6 + A_3 = 10


Iteration-1 Cj 0 9 2 0 -1 0 -M -M -M
B CB XB x1 x2 x3 x4 x5 x6 A1 A2 A3 MinRatio
XB/x3
A1 -M 60 1 -3 0 -4 0 2 1 0 0 ---
A2 -M 20 0 -2 0 1 1 -4 0 1 0 ---
A3 -M 10 0 1 (1) 0 0 3 0 0 1 10/1=10
Z=-90M Zj -M 4M -M 3M -M -M -M -M -M
Zj-Cj -M 4M-9 -M-2↑ 3M -M+1 -M 0 0 0



Negative minimum Zj-Cj is -M-2 and its column index is 3.

Minimum ratio is 10 and its row index is 3.

The pivot element is 1.

Entering =x3, Departing =A3,


Iteration-2 Cj 0 9 2 0 -1 0 -M -M
B CB XB x1 x2 x3 x4 x5 x6 A1 A2 MinRatio
XB/x1
A1 -M 60 (1) -3 0 -4 0 2 1 0 60/1=60
A2 -M 20 0 -2 0 1 1 -4 0 1 ---
x3 2 10 0 1 1 0 0 3 0 0 ---
Z=-80M+20 Zj -M 5M+2 2 3M -M 2M+6 -M -M
Zj-Cj -M 5M-7 0 3M -M+1 2M+6 0 0



Negative minimum Zj-Cj is -M and its column index is 1.

inimum ratio is 60 and its row index is 1.

The pivot element is 1.

Entering =x1, Departing =A1,


Iteration-3 Cj 0 9 2 0 -1 0 -M
B CB XB x1 x2 x3 x4 x5 x6 A2 MinRatio
XB/x4
x1 0 60 1 -3 0 -4 0 2 0 ---
A2 -M 20 0 -2 0 (1) 1 -4 1 20/1=20
x3 2 10 0 1 1 0 0 3 0 ---
Z=-20M+20 Zj 0 2M+2 2 -M -M 4M+6 -M
Zj-Cj 0 2M-7 0 -M -M+1 4M+6 0



Negative minimum Zj-Cj is -M and its column index is 4.


Minimum ratio is 20 and its row index is 2.

The pivot element is 1.

Entering =x4, Departing =A2

R_1 leftarrow R_1+4R_2


Iteration-4 Cj 0 9 2 0 -1 0
B CB XB x1 x2 x3 x4 x5 x6 MinRatio
XB/x2
x1 0 140 1 -11 0 0 4 -14 ---
x4 0 20 0 -2 0 1 1 -4 ---
x3 2 10 0 (1) 1 0 0 3 10/1=10
Z=20 Zj 0 2 2 0 0 6
Zj-Cj 0 -7↑ 0 0 1 6



Negative minimum Zj-Cj is -7 and its column index is 2.

Minimum ratio is 10 and its row index is 3

The pivot element is 1.

Entering =x2, Departing =x3,

R_1 leftarrow R_1+11R_3

R_2 leftarrow R_ 2+2R_3

Iteration-5 Cj 0 9 2 0 -1 0
B CB XB x1 x2 x3 x4 x5 x6 MinRatio
x1 0 250 1 0 11 0 4 19
x4 0 40 0 0 2 1 1 2
x2 9 10 0 1 1 0 0 3
Z=90 Zj 0 9 9 0 0 27
Zj-Cj 0 0 7 0 1 27



Since all Zj-Cj geq 0


Hence, optimal solution is arrived

{color{Red} x_1=250,:::x_2=10, :::x_3=0, :::x_4=40, :::x_5=0, :::x_6=0}

{color{Red} Max:: Z=90}

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