Linear programming involves finding the optimal value of variables that solves a certain problem. This has a wide variety of real life applications such as charting travel paths, buisness and economics, physics based problems and many more. Class 12 maths chapter 12 exercise 12.1 solutions covers graphical methods to solve linear programming problems. The chapter deals with mathematically analysing constraints and conditions to get the best possible solution to day-to-day problems.
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NCERT solutions for exercise 12.1 Class 12 Maths gives practice questions to understand linear programming problems. These solutions of NCERT are created by subject matter expert at Careers360 considering the latest syllabus and pattern of CBSE 2025-26. The answers are designed as per the students demand covering comprehensive, step by step solutions of every problem.
Students can find all exercise enumerated in NCERT Book together using the link provided below. Practice these questions and answers to command the concepts, boost confidence and in depth understanding of concepts.
Answer:
The region determined by constraints,

The region A0B represents the feasible region
The corner points of the feasible region are
Maximize
The value of these points at these corner points are :
Corner points | ||
12 | ||
0 | ||
16 | maximum |
The maximum value of Z is 16 at
Answer:
The region determined by constraints,

The corner points of feasible region are
The value of these points at these corner points are :
Corner points | ||
6 | ||
-12 | Minimum | |
0 | ||
16 |
The minimum value of Z is -12 at
Answer:
The region determined by constraints,

The corner points of feasible region are
The value of these points at these corner points are :
Corner points | ||
9 | ||
0 | ||
10 | ||
Maximum |
The maximum value of Z is
Answer:
The region determined by constraints

The feasible region is unbounded as shown.
The corner points of the feasible region are
The value of these points at these corner points are :
Corner points | ||
9 | ||
7 | Minimum | |
10 | ||
The feasible region is unbounded, therefore 7 may or may not be the minimum value of Z .
For this, we draw
We can see a feasible region has no common point with.
Hence, Z has a minimum value of 7 at
Answer:
The region determined by constraints,

The corner points of feasible region are
The value of these points at these corner points are :
Corner points | ||
15 | ||
18 | Maximum | |
10 | ||
The maximum value of Z is 18 at
Question 6: Solve the following Linear Programming Problems graphically: Minimise
Show that the minimum of Z occurs at more than two points.
Answer:
The region determined by constraints

The corner points of the feasible region are
The value of these points at these corner points are :
Corner points | |
6 | |
6 |
Value of Z is the same at both points.
If we take any other point like
Thus the minimum value of Z occurs at more than 2 points .
Therefore, the value of Z is minimum at every point on the line
Answer:
The region determined by constraints,

The corner points of feasible region are
The value of these points at these corner points are :
Corner points | ||
400 | ||
600 | Maximum | |
300 | Minimum | |
600 | maximum |
The minimum value of Z is 300 at
Answer:
The region determined by constraints

The corner points of the feasible region are
The value of these points at these corner points are :
Corner points | ||
100 | Minimum | |
100 | Minimum | |
250 | ||
400 | Maximum |
The minimum value of Z is 100 at all points on the line segment joining points
The maximum value of Z is 400 at
Answer:
The region determined by constraints

The corner points of the feasible region are
The value of these points at these corner points are :
Corner points | ||
- 6 | minimum | |
-2 | ||
1 | maximum | |
The feasible region is unbounded, therefore 1 may or may not be the maximum value of Z.
For this, we draw
We can see the resulting feasible region has a common point with a feasible region.
Hence , Z =1 is not maximum value , Z has no maximum value.
Answer:
The region determined by constraints

There is no feasible region and thus, Z has no maximum value.
Linear programming is generally defined as the technique for maximising or minimising a linear function of several variables, like input or output cost. The following are some of the basic terminology used in linear programming problems.
Theorems
Method Of Solving A Linear Problem
Find the feasible region of the problem and find the vertices.
Find the objective function Z = ax + by. Let M and m be the largest and the smallest points of the problem
When the area is bounded. "M" and "m" are maximum and minimum values. If a feasible area is unbounded then
ax + by > M, no common points with the feasible region.
Frequently Asked Questions (FAQs)
For CBSE Class 12 Maths exam one question of 5 marks is expected from the chapter linear programming.
The linear programming questions will have an objective function. Either maximise or minimize the it according to the given constrains.
Graphical method is used to solve the problems in Class 12 chapter 12
There are three exercises including miscellaneous.
Ten questions are explained in the NCERT Class 12 chapter exercise 1
There are 5 solved examples before exercise 12.1
Solving NCERT exercise give more conceptual understanding and students will be able to clear their doubts and can understand the are where they have to improve.
First understand the concepts and practice solved example. Then move on to the exercise and try to solve it yourself. If you have any doubts look in to the Class 12 Maths chapter 12 exercise 12.1 solutions.
On Question asked by student community
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Please go through the link to check 12th CBSE Chemistry question paper: https://school.careers360.com/boards/cbse/cbse-previous-year-question-papers-class-12-chemistry
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