min z = 3x + y s.t. y-0.5x ≥ 1 y + x ≥ 3 x≤ 3 y ≤ 4 x, y ≥0 (a) On the following page, use the graphical solution method to identify the feasible region. Use the scale 0.5 by 0.5 for each small square. (b) Find the feasible extreme points and calculate their objective values. Extreme point 1: Extreme point 2: Extreme point 3: Extreme point 4: Extreme point 5: (c) Draw an isocost line that passes through the point (x = 2, y = 3) and find the direction of optimization. (d) Provide the optimal solution and optimal objective value. Optimal solution: x = Optimal objective value: y =
min z = 3x + y s.t. y-0.5x ≥ 1 y + x ≥ 3 x≤ 3 y ≤ 4 x, y ≥0 (a) On the following page, use the graphical solution method to identify the feasible region. Use the scale 0.5 by 0.5 for each small square. (b) Find the feasible extreme points and calculate their objective values. Extreme point 1: Extreme point 2: Extreme point 3: Extreme point 4: Extreme point 5: (c) Draw an isocost line that passes through the point (x = 2, y = 3) and find the direction of optimization. (d) Provide the optimal solution and optimal objective value. Optimal solution: x = Optimal objective value: y =
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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