Name:  Class 12                              STICK TO YOUR WALL IN STUDY AREA 
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             The Hg Classes (8
th
 to 12
th
) By: Er Hershit Goyal (B.Tech. IIT BHU), 134-SF, Woodstock Floors, Nirvana Country, Sector 50, GURUGRAM        +91 9599697178. 
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LINEAR PROGRAMMING 
Definitions: 
•  Linear Programming Problem (or LPP): A linear programming problem is one that is concerned with 
finding the optimal value (max or min) of a linear function of several variables, subject to given 
constraints.  
•  Decision Variables: the variables (x, y etc) associated with the given problem. 
•  Objective Function: the linear function to be optimized is called an objective function. It is generally 
denoted by Z = ax + by, where x and y are the decision variables and a and b are arbitrary constants. 
•  Non-negative constraints:  the conditions that the variables are non-negative i.e., x ≥ 0;  y ≥ 0 
•  Linear constraints: the other conditions given in the problem represented as linear inequalities. 
•  Feasible Region (or solution region): the common region satisfying all the constraints. 
•  Feasible solutions: points lying in the feasible region. 
•  Infeasible solution: any point outside the feasible region. 
•  Optimal solution: any point in the feasible region, that gives the optimum (max or min) value of the 
objective function. 
•  Corner Point: Point of intersection of two boundary lines 
Corner Point method (for finding the optimal solution): 
i)  Find the feasible region of the given LPP and determine its corner points. 
ii)  Evaluate the objective function Z = ax + by at each corner point. Let M and m be the respective 
largest and smallest values at these points. 
iii)  If the feasible region is BOUNDED, then M and m respectively the maximum and minimum 
values of Z. 
If the feasible region is UNBOUNDED, then  
i)  M is maximum value of Z, if the region satisfying ax + by > M has no point common with 
the feasible region, otherwise Z has no maximum value. 
ii)  m is the minimum value of Z, if the region satisfying ax + by < m has no point common 
with the feasible region, otherwise Z has no minimum value. 
 
•  If two corner points (say A and B) of a feasible region are both optimal solutions of same type, then all 
the points on the line segment AB are optimal solutions of that same type. 
•  Linear Programming can be applied to following category of problems: 
o  Diet Problems 
o  Manufacturing problems 
o  Transportation problems