Graphical Method of Solving Linear Programming Problem Homework Help
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A represented system of linear equations can be solved the applications of matrix algebra is called as linear programming. A linear equation represents the first power variable quantities who graph usually represents a straight line. The use of linear programming can be justified in this Graphical Method of Solving Linear Programming Problem homework Help article by the following assumptions
a. All functions must be linear in nature
b. All parameters should have certainty in them
c. Decision variable should not produce negative values or they go unacceptable
Approaches for Solving Linear Programming Problem
As our Graphical Method of Solving Linear Programming Problem homework Help article writers suggest, the following two approaches are the most effective ones.
1. Graphical method
2. Simplex method
We talk about graphical method in this Graphical Method of Solving Linear Programming Problem homework Help article.
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Graphical Solution to the Maximization Linear Programming Problem
The following two concepts are important to understand as they are associated with linear programming.
a. Feasible region: bounded by the intersection of two or more lines helps to calculate the company’s production creates a closed region called as feasible region.
b. Optimal solution: in that feasible region we can find many solutions and have to choose the most optimal one for maximum profit acquired.
Steps Involved in Graphical Method of Solving Linear Programming Problem Homework Help Article
The following two steps help to make a graphical method successful to solve LPP
i. Graphically identify the feasible region that provides all set of feasible solutions. It is rather a set of all points in both the X and Y axis that satisfies the constraints.
ii. Search for the optimal solution. Avoid any point that is outside the first quadrant as it is not a feasible region.
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