Math Chapter 5 Class 12 Linear Inequalities and Linear Programming

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Mathematics Chapter 5: Linear Inequalities and Linear Programming – Class 12 Overview

Chapter 5, Linear Inequalities and Linear Programming, is an important topic in Class 12 Mathematics and is highly relevant for students preparing for competitive entry tests like NUST, ECAT, UET, NTS, as well as FSC board exams. This chapter covers solving linear inequalities, graphical representation of inequalities, feasible regions, and optimization problems using linear programming techniques. Mastery of this chapter helps students understand real-world applications of mathematics in decision-making and optimization.




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The point where two boundary lines of a shaded region intersect is called _____ point.

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The solution of ?? + ? < ? is

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A function which is to be maximized or minimized is called______ function

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(0,0) is the solution of the inequality

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The graph of a linear equation of the form ?? + ?? = ? is a line which divides the whole
plane into ______ disjoints parts.

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For feasible region:

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Corner point is also called

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A linear inequality contains at least _________ variables.

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The graph of corresponding linear equation of the linear inequality is a line called________

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A linear inequality contains at least _________ variables.

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The point where two boundary lines of a shaded region intersect is called _____ point.

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The symbols used for inequality are

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Corner point is also called

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If the line segment obtained by joining any two points of a region lies entirely within the
region , then the region is called

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(0,0) is the solution of the inequality

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An inequality with one or two variables has ________ solutions.

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A function which is to be maximized or minimized is called______ function

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The graph of corresponding linear equation of the linear inequality is a line called________

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Solution space consisting of all feasible solutions of system of linear in inequalities is called

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The symbols used for inequality are

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If ? > ? then

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The number of variables in ?? + ?? ≤ ? are

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(0,0) is satisfied by

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An inequality with one or two variables has ________ solutions.

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The feasible solution which maximizes or minimizes the objective function is called

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The non-negative constraints are also called

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Solution space consisting of all feasible solutions of system of linear in inequalities is called

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The feasible solution which maximizes or minimizes the objective function is called

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(0,0) is satisfied by

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Importance of Linear Inequalities and Linear Programming for Entry Tests and Board Exams

Understanding this chapter improves analytical thinking, logical reasoning, and problem-solving ability. Students can efficiently solve problems involving constraints, optimization, and graphical methods. Regular practice ensures confidence in attempting both entry test MCQs and FSC board exam questions related to inequalities and linear programming.

PLS Academy Chapter-Wise Mathematics Preparation

PLS Academy provides expertly designed chapter-wise study material for Linear Inequalities and Linear Programming with clear explanations, solved examples, and exam-oriented exercises. With structured guidance and focused practice, students can master concepts, improve accuracy, and achieve high scores in both entry tests and FSC board exams.

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