3x+ys7 x+2ys9 x20 y20 maximum for P= 2x+y

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Bugger off in the system of constraints and using the values of X and why that maximize the objective function find the minimum or maximum value
The image shows a system of linear inequalities and an expression to maximize:

1. \(3x + y \leq 7\)
2. \(x + 2y \leq 9\)
3. \(x \geq 0\)
4. \(y \geq 0\)

Objective:
- Maximize \(P = 2x + y\)

This setup is typically used in linear programming to find the maximum value of the objective function \(P\) given the constraints. The inequalities represent the feasible region in the xy-plane where the solution will lie.
Transcribed Image Text:The image shows a system of linear inequalities and an expression to maximize: 1. \(3x + y \leq 7\) 2. \(x + 2y \leq 9\) 3. \(x \geq 0\) 4. \(y \geq 0\) Objective: - Maximize \(P = 2x + y\) This setup is typically used in linear programming to find the maximum value of the objective function \(P\) given the constraints. The inequalities represent the feasible region in the xy-plane where the solution will lie.
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