Exam 22: Linear Programming: The Simplex Method

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As we are doing the ratio calculations for a simplex iteration, if there is a tie for the smallest ratio, the problem is degenerate.

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Dual variables represent the potential value of resources.

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A slack variable

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A correctly formulated linear program, when solved with the simplex algorithm, will always yield a single optimal solution.

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Which of the following is not true about slack variables in a simplex tableau?

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In applying the simplex solution procedure to a maximization problem to determine which variable enters the solution mix

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Explain how an unbounded solution is recognized when calculating the simplex tableaus.

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Karmarkar's algorithm is especially useful in solving very large-scale LP problems.

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How should the constraint, 5X - 2Y ≥ 6, be converted into simplex tableau form?

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Explain how no feasible solution is recognized when using the simplex algorithm.

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The Cj - Zj row of a simplex tableau gives

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We can solve a minimization problem by maximizing the negative of the minimization problem's objective function.

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Table M7-2 Table M7-2   -According to Table M7-2, which is a summarized solution output from simplex analysis, if the amount of resource A were decreased so that there were only 550 units available instead of 600, what would happen to total profits? -According to Table M7-2, which is a summarized solution output from simplex analysis, if the amount of resource A were decreased so that there were only 550 units available instead of 600, what would happen to total profits?

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The constraint 5 X1 + 6 X2 = 30, when converted to an = constraint for use in the simplex algorithm, will be 5 X1 + 6 X2 - A = 30.

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In solving a linear programming minimization problem using the simplex method

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The shadow price is the value of one additional unit of a scarce resource across the range (-∞,∞).

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If one changes a nonbasic objective function coefficient, the optimal solution of a maximization problem will remain optimal if

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Consider the following linear programming problem: Maximize 40 X1 + 30 X2 + 60X3 Subject to: X1 + X2 + X3 ≥ 90 12 X1 + 8 X2 + 10 X3 ≤ 1500 X1 , X2 , X3 ≥ 0 How many slack, surplus, and artificial variables would be necessary if the simplex were used to solve this problem?

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Convert the following linear program into the simplex form. Minimize 3x1 + 2x2 Subject to: 7x1 - 2x2 0 5x1 + x2 10 x1 + 7x2 12 3x1 + 3x2 = 16 x1, x2 ≥ 0

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How should the constraint, 5X - 2Y = 6, be converted into simplex tableau form?

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