Question : Part A: Write the Linear Programming equations in standard equality form. Part B: Solve the original Linear programming equations graphically (to scale). Clearly identify the feasible region and, if one or more exist, the optimal solution(s) (provide exact values for x1, X2, and Z). Maximize the objective function Z = -4x1 + 2x2

Operations Research : Applications and Algorithms
4th Edition
ISBN:9780534380588
Author:Wayne L. Winston
Publisher:Wayne L. Winston
Chapter18: Deterministic Dynamic Programming
Section: Chapter Questions
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Consider the following linear program: Solve it
by Python only
Question : Part A: Write the Linear Programming
equations in standard equality form.
Part B: Solve the original Linear programming
equations graphically (to scale). Clearly identify
the feasible region and, if one or more exist, the
optimal solution(s) (provide exact values for x1,
X2, and Z).
Maximize the objective function Z = -4x1 + 2x2
Subject To constraints:
-2x1 + 2x2 <7
X1 > 2
X1 - 4x2 < 0
2x1 + 2x2 2 10
X1, X2 2 0
Transcribed Image Text:Consider the following linear program: Solve it by Python only Question : Part A: Write the Linear Programming equations in standard equality form. Part B: Solve the original Linear programming equations graphically (to scale). Clearly identify the feasible region and, if one or more exist, the optimal solution(s) (provide exact values for x1, X2, and Z). Maximize the objective function Z = -4x1 + 2x2 Subject To constraints: -2x1 + 2x2 <7 X1 > 2 X1 - 4x2 < 0 2x1 + 2x2 2 10 X1, X2 2 0
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