Question:

For the given LPP (Linear Programming Problem) max $ z=5x+3y $ $ 2x+y\le 12 $ $ 3x+2y\le 20 $ $ x\ge 0,\,y\ge 0 $ the optimal solution set is

Updated On: Jun 23, 2024
  • $ (0,\,\,0) $
  • $ (6,\,\,0) $
  • $ (4,\,\,4) $
  • $ (0,\,\,10) $
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The Correct Option is C

Solution and Explanation

Given LPP is $ Max\,z=5x+3y $ $ 2x+y\le 12 $ $ 3x+2y\le 20 $ $ x\ge 0,\,\,\,\,\,\,\,\,\,y\ge 0 $ First we consider all the inequalities as equations.EquationsPoints $ 2x+y=12 $ $ (0,\,\,12),\,\,(6,0) $ and $ (0,\,\,10),\,\,\,\,\left( $ 3x+2y=20 $ \frac{20}{3},0 \right) $ Now, plot all these points on a graph paper and make a figure.For intersection point P, solve both equation of lines, we get $ \begin{align} & 4x+2y=24 \\ & 3x+2y=20 \\ & -\,\,\,\,\,\,\,\,\,\,-\,\,\,\,\,\,\,\,\,- \\ & \_\_\_\_\_\_\_\_\_\_ \\ & -5x=-6 \\ \end{align} $ $ \Rightarrow $ $ x=\frac{6}{5} $ and then $ y=\frac{22}{5} $ $ \therefore $ Convex region is TSQD with extreme point $ T(0,8),\,\,S(1,5),\,Q(2,4) $ and $ D(10,0) $ . Now, apply corner point methodPointsObjective function Max $ Z=5x+3y $ $ O(0,0) $ $ 5\times 0+3\times 0=0 $ $ B(0,10) $ $ 5\times 0+3\times 10=30 $ $ P(4,4) $ $ 5\times 4+3\times 4=32(\max ) $ $ A(6,0) $ $ 5\times 6+3\times 0=30 $ $ \therefore $ Optimal solution set is $ (4,4) $ on which the objective function is maximize.
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Concepts Used:

Linear Programming

Linear programming is a mathematical technique for increasing the efficiency and effectiveness of operations under specific constraints. The main determination of linear programming is to optimize or minimize a numerical value. It is built of linear functions with linear equations or inequalities restricting variables.

Characteristics of Linear Programming:

  • Decision Variables: This is the first step that will determine the output. It provides the final solution to the problem.
  • Constraints: The mathematical form in which drawbacks are expressed, regarding the resource.
  • Data: They are placeholders for known numbers to make writing complex models simple. They are constituted by upper-case letters.
  • Objective Functions: Mathematically, the objective function should be quantitatively defined.
  • Linearity: The function's relation between two or more variables must be straight. It indicates that the variable's degree is one.
  • Finiteness: Input and output numbers must be finite and infinite. The best solution is not possible if the function consists infinite components.
  • Non-negativity: The value of the variable should be either positive (+ve) or 0. It can't be a negative (-ve) number.