Linear Inequalities and Linear Programming is an important topic in FSC Mathematics that focuses on solving inequalities involving linear expressions and optimizing real-life problems using linear programming techniques. This chapter covers graphical methods, formulation of linear programming problems, feasible regions, and finding maximum or minimum values of objective functions. Mastery of this chapter helps students develop analytical and problem-solving skills applicable in economics, engineering, and operations research. It is frequently tested in FSC board exams and competitive entry tests such as NTS, ECAT, NUST, and FAST. At PLS Academy, Linear Inequalities and Linear Programming is taught in a simple, exam-oriented manner, emphasizing key formulas, commonly asked MCQs, past paper trends, and step-by-step problem-solving techniques to help students achieve maximum marks with confidence.
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