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Finite Math B: Chapter 4, Linear Programming: The Simplex Method1Chapter 4: Linear Programming
The Simplex Method
Day 1:
4.1 Slack Variables and the Pivot (text pg169176)
In chapter 3, we solved linear
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How to fill out linear programming geometry algebra
How to fill out linear programming geometry algebra
01
Start by identifying the variables in the linear programming problem. These are typically the unknown quantities you're trying to optimize or find the maximum or minimum value of.
02
Define the objective function, which represents the quantity you want to maximize or minimize using the variables. This function is typically linear in nature.
03
Identify the constraints of the problem. These are the limitations or requirements that the solution must adhere to and are often represented by inequalities or equalities involving the variables.
04
Graph the feasible region, which is the set of all possible solutions to the linear programming problem. This region is determined by the intersection of all the constraints.
05
Determine the coordinates of the vertices of the feasible region. These are the extreme points of the region and represent potential solutions to the problem.
06
Evaluate the objective function at each vertex to determine the optimal solution. Compare the results to find the maximum or minimum value of the function.
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