Question:

Consider Max. z = - 2x - 3y subject to $\frac{x}{2} + \frac{y}{3} \leq 1 , \frac{x}{3} \frac{y}+{2} \leq 1 , x ,y \geq 0$ The max value of z is :

Updated On: Jul 6, 2022
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The Correct Option is A

Solution and Explanation

Given problem is max z = - 2x - 3y Subject to $\frac{x}{2} + \frac{y}{3} \leq 1 , \frac{x}{3}+ \frac{y}{2} \leq 1 , x ,y \geq 0$ First convert these inequations into equations we get 3x + 2y = 6 ...(i) 2x + 3y = 6 ...(ii) on solving these two equation, we get point of intersection is $\bigg( \frac{6}{5}, \frac{6}{5} \bigg) $ Now, we draw the graph of these lines. Shaded portion shows the feasible region. Now, the corner points are $(0, 2), (2,0), \bigg( \frac{6}{5}, \frac{6}{5} \bigg) , (0, 0). $ At (0, 2), value of z = - 2(0) - 3(2) = - 6 At (2, 0), value of z = - 2(2) - 3(0) = - 4 At $\bigg( \frac{6}{5}, \frac{6}{5} \bigg) , (0, 0). $ Value of $z = - 2 \left(\frac{6}{5} \right) - 3 \left(\frac{6}{5} \right) $ $ = \frac{-30}{5} = - 6$ At (0, 0), value of z = - 2(0) - 3(0) = 0 At (0, 0), value of z = - 2(0) - 3(0) = 0 $\therefore$ The max value of z is 0.
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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.