Suppose lower- and upper-bounded simplex Algorithm 5D is being applied to a problem with objective function max
Question:
Suppose lower- and upper-bounded simplex Algorithm 5D is being applied to a problem with objective function max 3x1 - 4x2 + x3 - 4x4 + 10x5 3 main constraints, and bounds 0 … xj … 5 j = 1,c, 5 For each of the following current basic solutions x and corresponding simplex directions x, determine whether the appropriate move of{x is improving. Also compute the maximum step l that could be applied without losing feasibility and the basis status of variables that would result after such a step. Take the current basic variables to be those strictly between lower and upper bounds.
(a) x = 12, 2, 4, 0, 52 , x = 11, -1, 0, 0, 12 for x5
(b) x = 15, 0, 2, 3, 22,
x = a0, 1, 1 10
, -
1 5
, 1 3
b for x2
(c) x = 10, 1, 0, 4, 22, x = a0, 0, 1, -
2 5
, 2 5
b for x3
(d) x = 15, 5, 1, 3, 1, 2, x = 11, 0, 0, 4, 12 for x1
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