Multiple choice: In a maximization case using the simplex method, the optimality condition is reached when all Cj-Zj values are <= 0. Meanwhile, the Cj values in all iteration tables are always the same as the those in the initial simplex table. • Answer is not given. • Both statements are not correct. • Both statements are correct. • Only one statement is correct

Multiple choice: In a maximization case using the simplex method, the optimality condition is reached when all Cj-Zj values are <= 0. Meanwhile, the Cj values in all iteration tables are always the same as the those in the initial simplex table. • Answer is not given. • Both statements are not correct. • Both statements are correct. • Only one statement is correct

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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'Solve the following linear programming problem using the graphical method. Max (Z)=5X₁+7X₂ Subjected to: 2X₁+3X₂< 18 X₁+X₂ ≤8 X₂<4 X₁, X₂ 20
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+ 7. Consider the feasible region shown below. Assume the origin (A) is feasible and the constraints are all constraints and the variables are all nonnegative. Suppose you wish to maximize 1 + over this feasible region and you are currently at point G. Which variable should enter the basis in the first iteration of the simplex algorithm if we wish to maximize the objective function improvement after the first iteration? O only 2₂ only Ⓒ* only A 1.₂. or s 1 H B G A: (0,0,0) B: (1,0,0) C (0, 1, 0) D: (0, 0, 1)
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