Page 1
Edurev123
3.- Graphical Method of Solution
3.1 Write down the dual of the following LP problem and hence solve it by
graphical method:
Minimize,?????????????????????????????????????????????????????????????????? =?? ?? ?? +?? ?? ??
?????????????????????? ?????????????????????????????????????????????????? ?? ?? +?? ?? ?=?? ?? ?? ?? +?? ?? ?? ?=?? .?? ?? ?? ,?? ?? ?=??
(2011 : 20 Marks)
Solution:
The given linear programming problem is
Minimize,?????????????????????????????????????????????????????????????????? =6?? 1
+4?? 2
Constraints ????????????????????????????????????????????????2?? 1
+?? 2
?=1
3?? 1
+4?? 2
?=1.5
?? 1
,?? 2
?=0
The given L.P.P. is in the standard primal form (all the constraints involve the sign = if it
is a problem of minimization).
In the matrix form, the above problem can be written as
Min. ?? ?=(6,4)[?? 1
,?? 2
]=????
S.T. ?=[
2 1
3 4
][
?? 1
?? 2
]=[
1
1.5
]
or
???? =??
? The dual of the given problem is
Max. ?? ?? ?=?? '
?? =(1,1.5)[?? 1
,?? 2
]
?=?? 1
+1.5?? 2
S.T. ?=?? '
?? =??
i.e., [
2 3
1 4
][
?? 1
?? 2
]=[
6
4
]
? 2?? 1
+3?? 2
=6
?? 1
+4?? 2
=4
?? 1
,?? 2
=0
Page 2
Edurev123
3.- Graphical Method of Solution
3.1 Write down the dual of the following LP problem and hence solve it by
graphical method:
Minimize,?????????????????????????????????????????????????????????????????? =?? ?? ?? +?? ?? ??
?????????????????????? ?????????????????????????????????????????????????? ?? ?? +?? ?? ?=?? ?? ?? ?? +?? ?? ?? ?=?? .?? ?? ?? ,?? ?? ?=??
(2011 : 20 Marks)
Solution:
The given linear programming problem is
Minimize,?????????????????????????????????????????????????????????????????? =6?? 1
+4?? 2
Constraints ????????????????????????????????????????????????2?? 1
+?? 2
?=1
3?? 1
+4?? 2
?=1.5
?? 1
,?? 2
?=0
The given L.P.P. is in the standard primal form (all the constraints involve the sign = if it
is a problem of minimization).
In the matrix form, the above problem can be written as
Min. ?? ?=(6,4)[?? 1
,?? 2
]=????
S.T. ?=[
2 1
3 4
][
?? 1
?? 2
]=[
1
1.5
]
or
???? =??
? The dual of the given problem is
Max. ?? ?? ?=?? '
?? =(1,1.5)[?? 1
,?? 2
]
?=?? 1
+1.5?? 2
S.T. ?=?? '
?? =??
i.e., [
2 3
1 4
][
?? 1
?? 2
]=[
6
4
]
? 2?? 1
+3?? 2
=6
?? 1
+4?? 2
=4
?? 1
,?? 2
=0
Solution by Graphical Method :
Draw the lines
and
2?? 1
+3?? 2
?=6
?? 1
+4?? 2
?=4 on the graph paper.
The shaded region is the permissible region. We can see that maximum ?? ?? is obtained
at (
12
5
,
2
5
) and (3,0) .
??? ?? is maximum at all points of the line joining (
12
5
,
2
5
) and (3,0) .
3.2 For each hour per day that Ashok studies mathematics, it yields him 10 marks
and for each hour that he studies physics, it yields him 5 marks. He can study at
most 14 hours a day and he must get at least 40 marks in each. Determine
graphically how many hours a day he should study mathematics and physics
each, in order to maximize his marks?
(2012 : 12 Marks)
Solution:
Let Ashok studies math ?? hours per day and Physics ?? hours per day.
?? Total marks =10?? +5??
He can study at the most 14 hours a day.
??????????????????????????????????????????????????????? +?? =14
He must get at least 40 marks in each paper.
? ????????????????????????????????????????10?? =40 and 5?? =40
i.e., ?? =4 and ?? =8
Hence, the linear programming problem is
Page 3
Edurev123
3.- Graphical Method of Solution
3.1 Write down the dual of the following LP problem and hence solve it by
graphical method:
Minimize,?????????????????????????????????????????????????????????????????? =?? ?? ?? +?? ?? ??
?????????????????????? ?????????????????????????????????????????????????? ?? ?? +?? ?? ?=?? ?? ?? ?? +?? ?? ?? ?=?? .?? ?? ?? ,?? ?? ?=??
(2011 : 20 Marks)
Solution:
The given linear programming problem is
Minimize,?????????????????????????????????????????????????????????????????? =6?? 1
+4?? 2
Constraints ????????????????????????????????????????????????2?? 1
+?? 2
?=1
3?? 1
+4?? 2
?=1.5
?? 1
,?? 2
?=0
The given L.P.P. is in the standard primal form (all the constraints involve the sign = if it
is a problem of minimization).
In the matrix form, the above problem can be written as
Min. ?? ?=(6,4)[?? 1
,?? 2
]=????
S.T. ?=[
2 1
3 4
][
?? 1
?? 2
]=[
1
1.5
]
or
???? =??
? The dual of the given problem is
Max. ?? ?? ?=?? '
?? =(1,1.5)[?? 1
,?? 2
]
?=?? 1
+1.5?? 2
S.T. ?=?? '
?? =??
i.e., [
2 3
1 4
][
?? 1
?? 2
]=[
6
4
]
? 2?? 1
+3?? 2
=6
?? 1
+4?? 2
=4
?? 1
,?? 2
=0
Solution by Graphical Method :
Draw the lines
and
2?? 1
+3?? 2
?=6
?? 1
+4?? 2
?=4 on the graph paper.
The shaded region is the permissible region. We can see that maximum ?? ?? is obtained
at (
12
5
,
2
5
) and (3,0) .
??? ?? is maximum at all points of the line joining (
12
5
,
2
5
) and (3,0) .
3.2 For each hour per day that Ashok studies mathematics, it yields him 10 marks
and for each hour that he studies physics, it yields him 5 marks. He can study at
most 14 hours a day and he must get at least 40 marks in each. Determine
graphically how many hours a day he should study mathematics and physics
each, in order to maximize his marks?
(2012 : 12 Marks)
Solution:
Let Ashok studies math ?? hours per day and Physics ?? hours per day.
?? Total marks =10?? +5??
He can study at the most 14 hours a day.
??????????????????????????????????????????????????????? +?? =14
He must get at least 40 marks in each paper.
? ????????????????????????????????????????10?? =40 and 5?? =40
i.e., ?? =4 and ?? =8
Hence, the linear programming problem is
Max. ?? =10?? +5??
Subject to the constraints
?? +?? ?=14
?? ?=4
?? ?=8
Draw the lines, ?? +?? =14,?? =4,?? =8.
The shaded region ?????? is the permissible region Here,
?? =(4,10),?? =(4,8),?? =(6,8)
?? at ?? (4,10)?=40+50=90
?? at ?? (4,8)?=40+40=80
?? at ?? (6,8)?=60+40=100
? For maximum ?? ,
?? =6,?? =8
3.3 Maximize ?? =?? ?? ?? +?? ?? ?? -?? ?? ?? subject to ?? ?? +?? ?? +?? ?? =?? and ?? ?? ?? -?? ?? ?? +?? ?? =
???? ;?? ?? =?? .
(2013 : 10 Marks)
Solution:
Approach : A graphical solution is possible only for two variables. We use the first
condition of equality to convert it into a problem of 2 variables.
?? 1
+?? 2
+?? 3
?=7??? 3
=7-?? 1
-?? 2
Again????? 3
=0??????????????????????????????????????????7-?? 1
-?? 2
?=0
?? 1
+?? 2
?=7
So, the problem becomes
Page 4
Edurev123
3.- Graphical Method of Solution
3.1 Write down the dual of the following LP problem and hence solve it by
graphical method:
Minimize,?????????????????????????????????????????????????????????????????? =?? ?? ?? +?? ?? ??
?????????????????????? ?????????????????????????????????????????????????? ?? ?? +?? ?? ?=?? ?? ?? ?? +?? ?? ?? ?=?? .?? ?? ?? ,?? ?? ?=??
(2011 : 20 Marks)
Solution:
The given linear programming problem is
Minimize,?????????????????????????????????????????????????????????????????? =6?? 1
+4?? 2
Constraints ????????????????????????????????????????????????2?? 1
+?? 2
?=1
3?? 1
+4?? 2
?=1.5
?? 1
,?? 2
?=0
The given L.P.P. is in the standard primal form (all the constraints involve the sign = if it
is a problem of minimization).
In the matrix form, the above problem can be written as
Min. ?? ?=(6,4)[?? 1
,?? 2
]=????
S.T. ?=[
2 1
3 4
][
?? 1
?? 2
]=[
1
1.5
]
or
???? =??
? The dual of the given problem is
Max. ?? ?? ?=?? '
?? =(1,1.5)[?? 1
,?? 2
]
?=?? 1
+1.5?? 2
S.T. ?=?? '
?? =??
i.e., [
2 3
1 4
][
?? 1
?? 2
]=[
6
4
]
? 2?? 1
+3?? 2
=6
?? 1
+4?? 2
=4
?? 1
,?? 2
=0
Solution by Graphical Method :
Draw the lines
and
2?? 1
+3?? 2
?=6
?? 1
+4?? 2
?=4 on the graph paper.
The shaded region is the permissible region. We can see that maximum ?? ?? is obtained
at (
12
5
,
2
5
) and (3,0) .
??? ?? is maximum at all points of the line joining (
12
5
,
2
5
) and (3,0) .
3.2 For each hour per day that Ashok studies mathematics, it yields him 10 marks
and for each hour that he studies physics, it yields him 5 marks. He can study at
most 14 hours a day and he must get at least 40 marks in each. Determine
graphically how many hours a day he should study mathematics and physics
each, in order to maximize his marks?
(2012 : 12 Marks)
Solution:
Let Ashok studies math ?? hours per day and Physics ?? hours per day.
?? Total marks =10?? +5??
He can study at the most 14 hours a day.
??????????????????????????????????????????????????????? +?? =14
He must get at least 40 marks in each paper.
? ????????????????????????????????????????10?? =40 and 5?? =40
i.e., ?? =4 and ?? =8
Hence, the linear programming problem is
Max. ?? =10?? +5??
Subject to the constraints
?? +?? ?=14
?? ?=4
?? ?=8
Draw the lines, ?? +?? =14,?? =4,?? =8.
The shaded region ?????? is the permissible region Here,
?? =(4,10),?? =(4,8),?? =(6,8)
?? at ?? (4,10)?=40+50=90
?? at ?? (4,8)?=40+40=80
?? at ?? (6,8)?=60+40=100
? For maximum ?? ,
?? =6,?? =8
3.3 Maximize ?? =?? ?? ?? +?? ?? ?? -?? ?? ?? subject to ?? ?? +?? ?? +?? ?? =?? and ?? ?? ?? -?? ?? ?? +?? ?? =
???? ;?? ?? =?? .
(2013 : 10 Marks)
Solution:
Approach : A graphical solution is possible only for two variables. We use the first
condition of equality to convert it into a problem of 2 variables.
?? 1
+?? 2
+?? 3
?=7??? 3
=7-?? 1
-?? 2
Again????? 3
=0??????????????????????????????????????????7-?? 1
-?? 2
?=0
?? 1
+?? 2
?=7
So, the problem becomes
Max. ?? =2?? 1
+3?? 2
-5(7-?? 1
-?? 2
)=7?? 1
+8?? 2
-35
?? 1
+?? 2
=7
2?? 1
-5?? 2
+(7-?? 1
-?? 2
)=10
or
?? 1
-6?? 2
=3 and ?? 1
,?? 2
=0
We use the graphical method to solve the given problem.
Maxima will occur at a corner point value of ?? at various corner points :
Point
?? =7?? 1
+8?? 2
-35
(0,7) 21
(0,0) -35
(3,0) -14
(
45
7
,
4
7
) 14
4
7
? Maxima is at (0,7) and maximum value is 21 .
? Maxima is 21 at ?? 1
=0,?? 2
=7,?? 3
=0.
3.4 Solve graphically:
Maximize :
?? =?? ?? ?? +?? ?? ??
subject to :
Page 5
Edurev123
3.- Graphical Method of Solution
3.1 Write down the dual of the following LP problem and hence solve it by
graphical method:
Minimize,?????????????????????????????????????????????????????????????????? =?? ?? ?? +?? ?? ??
?????????????????????? ?????????????????????????????????????????????????? ?? ?? +?? ?? ?=?? ?? ?? ?? +?? ?? ?? ?=?? .?? ?? ?? ,?? ?? ?=??
(2011 : 20 Marks)
Solution:
The given linear programming problem is
Minimize,?????????????????????????????????????????????????????????????????? =6?? 1
+4?? 2
Constraints ????????????????????????????????????????????????2?? 1
+?? 2
?=1
3?? 1
+4?? 2
?=1.5
?? 1
,?? 2
?=0
The given L.P.P. is in the standard primal form (all the constraints involve the sign = if it
is a problem of minimization).
In the matrix form, the above problem can be written as
Min. ?? ?=(6,4)[?? 1
,?? 2
]=????
S.T. ?=[
2 1
3 4
][
?? 1
?? 2
]=[
1
1.5
]
or
???? =??
? The dual of the given problem is
Max. ?? ?? ?=?? '
?? =(1,1.5)[?? 1
,?? 2
]
?=?? 1
+1.5?? 2
S.T. ?=?? '
?? =??
i.e., [
2 3
1 4
][
?? 1
?? 2
]=[
6
4
]
? 2?? 1
+3?? 2
=6
?? 1
+4?? 2
=4
?? 1
,?? 2
=0
Solution by Graphical Method :
Draw the lines
and
2?? 1
+3?? 2
?=6
?? 1
+4?? 2
?=4 on the graph paper.
The shaded region is the permissible region. We can see that maximum ?? ?? is obtained
at (
12
5
,
2
5
) and (3,0) .
??? ?? is maximum at all points of the line joining (
12
5
,
2
5
) and (3,0) .
3.2 For each hour per day that Ashok studies mathematics, it yields him 10 marks
and for each hour that he studies physics, it yields him 5 marks. He can study at
most 14 hours a day and he must get at least 40 marks in each. Determine
graphically how many hours a day he should study mathematics and physics
each, in order to maximize his marks?
(2012 : 12 Marks)
Solution:
Let Ashok studies math ?? hours per day and Physics ?? hours per day.
?? Total marks =10?? +5??
He can study at the most 14 hours a day.
??????????????????????????????????????????????????????? +?? =14
He must get at least 40 marks in each paper.
? ????????????????????????????????????????10?? =40 and 5?? =40
i.e., ?? =4 and ?? =8
Hence, the linear programming problem is
Max. ?? =10?? +5??
Subject to the constraints
?? +?? ?=14
?? ?=4
?? ?=8
Draw the lines, ?? +?? =14,?? =4,?? =8.
The shaded region ?????? is the permissible region Here,
?? =(4,10),?? =(4,8),?? =(6,8)
?? at ?? (4,10)?=40+50=90
?? at ?? (4,8)?=40+40=80
?? at ?? (6,8)?=60+40=100
? For maximum ?? ,
?? =6,?? =8
3.3 Maximize ?? =?? ?? ?? +?? ?? ?? -?? ?? ?? subject to ?? ?? +?? ?? +?? ?? =?? and ?? ?? ?? -?? ?? ?? +?? ?? =
???? ;?? ?? =?? .
(2013 : 10 Marks)
Solution:
Approach : A graphical solution is possible only for two variables. We use the first
condition of equality to convert it into a problem of 2 variables.
?? 1
+?? 2
+?? 3
?=7??? 3
=7-?? 1
-?? 2
Again????? 3
=0??????????????????????????????????????????7-?? 1
-?? 2
?=0
?? 1
+?? 2
?=7
So, the problem becomes
Max. ?? =2?? 1
+3?? 2
-5(7-?? 1
-?? 2
)=7?? 1
+8?? 2
-35
?? 1
+?? 2
=7
2?? 1
-5?? 2
+(7-?? 1
-?? 2
)=10
or
?? 1
-6?? 2
=3 and ?? 1
,?? 2
=0
We use the graphical method to solve the given problem.
Maxima will occur at a corner point value of ?? at various corner points :
Point
?? =7?? 1
+8?? 2
-35
(0,7) 21
(0,0) -35
(3,0) -14
(
45
7
,
4
7
) 14
4
7
? Maxima is at (0,7) and maximum value is 21 .
? Maxima is 21 at ?? 1
=0,?? 2
=7,?? 3
=0.
3.4 Solve graphically:
Maximize :
?? =?? ?? ?? +?? ?? ??
subject to :
?? ?? ?? +?? ?? ?=????
?? ?? +?? ?? ?=????
?? ?? +?? ?? ?? ?=?? ?? ?? ?? +?? ?? ?? ?=????
?? ?? ,?? ?? ?=??
(2014: 10 marks)
Solution:
Since every point which satisfies the condition ?? 1
=0,?? 2
=0 lies in the first quadrant
only.
? The desired pair (?? 1
,?? 2
) is restricted to the points of the first quadrant only.
The following are the end points of the straight line in 1st quadrant.
Let
2?? 1
+?? 2
=16?(8,0)(0,16)
?? 1
+?? 2
=11?(11,0)(0,11)
?? 1
+2?? 2
=6?(6,0)(0,3)
5?? 1
+6?? 2
=90?(18,0)(0,15)
The shaded region ?????????? is the feasible region corresponding to the given constraints
with ?? (0,3),?? (6,0) , ?? (8,0),?? (5,6),?? (0,11) as the extreme points.
The values of the objective function ?? =6?? 1
+5?? 2
at these extreme points are:
?? (0,3)=0+15=15
?? (6,0)=36+0=36
?? (8,0)=48+0=48
?? (5,6)=30+30=60?
?? (0,11)=0+55=55
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