The figure below shows the feasible region (shaded) and the bounding constraint lines for a linear programming problem. (a). If the objective is to MINIMIZE z = x1 + x2, give the approximate values of x1 and x2 that minimize z without violating any constraints.(please make sure to show/draw at least some of the contour lines for the obiective function; they will be helpful in correctly answering the question) (b) If the objective is to MAXIMIZE z = x1 + x2, give the approximate values of x1 and x2 that maximize z without violating any constraints. X2 6 5 3 2 2 3₂ 4 5 6 7 X₁
The figure below shows the feasible region (shaded) and the bounding constraint lines for a linear programming problem. (a). If the objective is to MINIMIZE z = x1 + x2, give the approximate values of x1 and x2 that minimize z without violating any constraints.(please make sure to show/draw at least some of the contour lines for the obiective function; they will be helpful in correctly answering the question) (b) If the objective is to MAXIMIZE z = x1 + x2, give the approximate values of x1 and x2 that maximize z without violating any constraints. X2 6 5 3 2 2 3₂ 4 5 6 7 X₁
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Transcribed Image Text:The figure below shows the feasible region (shaded) and the bounding constraint lines for a linear programming
problem.
(a) .. If the objective is to MINIMIZE z = x1 + x2, give the approximate values of x1 and x2 that minimize z
without violating any constraints.(please make sure to show/draw at least some of the contour lines for the
obiective function; they will be helpful in correctly answering the question)
(b) ₁
If the objective is to MAXIMIZE z = x1 + x2, give the approximate values of x1 and x2 that maximize z
without violating any constraints.
NT
6
5
3
2
1
1
2
3
4
5
6
7 X₁
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