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This chapter covers methods to solve real-life optimization problems using Linear Programming. LPP Formation: Converting word problems into mathematical models using variables, objective function, and constraints. Graphical Method: Solving LPPs with two variables by plotting constraints and identifying the optimal solution at corner points. Hungarian Method: Used to solve assignment problems to minimize cost or time using matrix reduction. Transportation Problems: Focuses on minimizing the cost of transporting goods from sources to destinations using: VAM (Vogel's Approximation Method) NWCM (North-West Corner Method) LCM (Least Cost Method)
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