Solve the given linear programming problem using the table method. 3) Maximize P= 6x1 + 7x2
Solve the given linear programming problem using the table method. 3) Maximize P= 6x1 + 7x2
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:**Page 1 REVIEW**
**Solve the given linear programming problem using the table method.**
3) Maximize \( P = 6x_1 + 7x_2 \)
Subject to:
- \( 2x_1 + 3x_2 \leq 12 \)
- \( 2x_1 + x_2 \leq 8 \)
- \( x_1, x_2 \geq 0 \)
Options:
- A) \( \text{Max } P = 32 \text{ at } x_1 = 3, x_2 = 2 \)
- B) \( \text{Max } P = 55 \text{ at } x_1 = 4, x_2 = 4 \)
- C) \( \text{Max } P = 32 \text{ at } x_1 = 2, x_2 = 3 \)
- D) \( \text{Max } P = 24 \text{ at } x_1 = 4, x_2 = 0 \)
3) _______
**Graph the system of inequalities.**
4)
Inequalities:
- \( x_1 + x_2 \leq 12 \)
- \( 2x_1 + x_2 \leq 20 \)
- \( x_1, x_2 \geq 0 \)
**Graphs:**
**A) Explanation:**
- The graph shows a coordinate plane with \( x_1 \) on the horizontal axis and \( x_2 \) on the vertical axis.
- The graph has a shaded area that represents the feasible region defined by the inequalities.
- The lines for \( x_1 + x_2 = 12 \), \( 2x_1 + x_2 = 20 \), and the axes \( x_1 = 0 \), \( x_2 = 0 \) are clearly marked.
- Key points, such as intersections on the feasible region, are labeled.
**B) Description:**
- Similar to graph A, this graph also represents the same inequalities in a coordinate plane.
- The feasible region is slightly different, as shown by the altered intersection points and shaded area.
- The constraints are depicted by straight lines
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