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Minimize Z = -4x1 + x2 Subject to 8x1 + 2x2 =>16 4x1 + 2x2 =<12 x1 =<5 x2=<2 x1, x2 =>0 Identify the feasible solution area graphically.

Minimize Z = -4x1 + x2 Subject to 8x1 + 2x2 =>16 4x1 + 2x2 =<12 x1 =<5 x2=<2 x1, x2 =>0 Identify the feasible solution area graphically.

Practical Management Science
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
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A linear programming problem is given as follows:

Minimize Z = -4x1 + x2

Subject to 8x1 + 2x2 =>16

4x1 + 2x2 =<12

x1 =<5

x2=<2

x1, x2 =>0

Identify the feasible solution area graphically. 

1. [30 Pt.] A linear programming problem is given as follows: Minimize Z =-4x, + x, Subject to 8x,+ 2x, 2 16 4x + 2x, < 12 X1, X, > 0 (1) [S Pt] Find the A, B, C, D and E, F, G, H, K points on the plot below. (11) [) Pt] Identify the feasible solution area graphically on the following plot (by shading the area). x2 A. (0,0) x1 H. (ii1) [5 Pt] Which points are the extreme points?
Transcribed Image Text:1. [30 Pt.] A linear programming problem is given as follows: Minimize Z =-4x, + x, Subject to 8x,+ 2x, 2 16 4x + 2x, < 12 X1, X, > 0 (1) [S Pt] Find the A, B, C, D and E, F, G, H, K points on the plot below. (11) [) Pt] Identify the feasible solution area graphically on the following plot (by shading the area). x2 A. (0,0) x1 H. (ii1) [5 Pt] Which points are the extreme points?
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