Manually solve the following linear program (which could result from a production problem) using the graphical approach. Report all the corner-point feasible (CPF) solutions and their corresponding objective values. Report the optimal solution and the optimal objective value. Maximize: 40 X1 + 30 X2 Subject to: X1+2X2 <= 24. X1 <= 16. X2 <= 8. X1, X2 >= 0. Convert the above LP formulation to the standard form where all functional constraints are equations. Make sure you define your slack variables.

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Manually solve the following linear program (which could result from a production problem)
using the graphical approach. Report all the corner-point feasible (CPF) solutions and their
corresponding objective values. Report the optimal solution and the optimal objective value.
Maximize: 40 X1 + 30 X2
Subject to:
X1+2X2 <= 24.
X1 <= 16.
X2 <= 8.
X1, X2 >= 0.
Convert the above LP formulation to the standard form where all functional constraints are
equations. Make sure you define your slack variables.
Transcribed Image Text:Manually solve the following linear program (which could result from a production problem) using the graphical approach. Report all the corner-point feasible (CPF) solutions and their corresponding objective values. Report the optimal solution and the optimal objective value. Maximize: 40 X1 + 30 X2 Subject to: X1+2X2 <= 24. X1 <= 16. X2 <= 8. X1, X2 >= 0. Convert the above LP formulation to the standard form where all functional constraints are equations. Make sure you define your slack variables.
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