Exam 13: Nonlinear Models:dynamic, Goal, and Nonlinear Programming

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In a dynamic program, the boundary conditions refer to the first stage, and the stopping rule refers to the last stage.

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How does the number of computations for a dynamic programming model compare to total enumeration?

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(Dynamic programming requires a small fraction of the work needed for total enumeration.)

Consider the Welfare to Work program in problem 8.Suppose now that a nonpreemptive approach is used in which each hour under 2,000,000 is considered 5 times worse than each unskilled hour that exceeds the skilled hours, which in turn is 2 times worse than each skilled hour above 800,000.A.Formulate this problem as a nonpreemptive goal programming model. B.What is the optimal allocation of hours for this situation.

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A.(MIN 10U1 + 2U2 + E3
S.T.7.20X1 + 12X2 ? 28,800,000
X1 + X2 + U1 - E1 = 2,000,000
-X1 + X2 + U2 - E2 = 0
X2 + U3 - E3 = 800,000
X1, X2, U1, U2, U3, E1, E2, E3 ? 0 )

B.(1,000,000 unskilled hours, 1,000,000 skilled hours.)

For a convex nonlinear programming problem, the Kuhn-Tucker conditions are both necessary and sufficient.

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According to goal programming proponents, most business problems have conflicting objectives and cannot be solved by optimizing a linear programming model with a single objective function.

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In a mathematical model with two variables, a function which is both concave and convex is a straight line.

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The objective of goal programming is a solution that:

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Quadratic programming is a special case of __________ programming.

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Fred Salter has a budget of $40,000 to prepare his house for sale.Fred's yard needs work, and the kitchen and bathroom could both use improvement.Fred has estimated the costs and expected return (increase in the value of his house) of different options.The cost and return are expressed in thousands of dollars.Fred wants to use dynamic programming to solve the problem. ROOM PROJECT COST RETURN YARD Seed lawn \& plant shrubs 2 2 Re-sod 5 8 Plant trees 15 20 KITCHEH Reface cabinets 10 12 New cabinets 25 40 Tile Floor 15 20 BATHR00M Refinish 5 10 Replace tile 10 18 New toilet, tub, \& plumbing 20 31 A.Define the stage variables. B.Define the state variables. C.Define the decision variables. D.Define the stage return values. E.Define the optimal value function. F.Define the boundary condition. G.Define the stopping rule. H.Define the recurrence relation. I.Solve the problem.

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For the problem faced by Kelso Construction in problem 4, how should the crews be allocated?

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What is "dynamic" about a dynamic programming problem?

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The fundamental approach to solving dynamic programming problems may be characterized as:

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In a goal programming model in which goal 1 has a higher priority than goal 2:

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Consider the problem faced by Terrestrial Telescopes in problem 2.A.What is the optimal allocation of the weekly budget between salaries and equipment? B.How many Orion telescopes can be made weekly? C.What is the value (in terms of extra telescopes produce) of (i) only raising the overall budget? (ii) only raising the maximum allocation for machinery? D.Other than solving the Kuhn-Tucker conditions by trial and error, what is another solution approach for solving this model?

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A knapsack problem can be modeled as a longest path network problem.

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The optimal solution for an unconstrained concave function occurs where the slope equals zero for all variables.

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Which of the following need not be part of a dynamic programming model?

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Variables raised to a power other than 1, may be found in a nonlinear programming problem.Other nonlinearities include:

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For general nonlinear programming problems, the Kuhn-Tucker conditions:

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What differentiates preemptivefrom nonpreemptive goal programming?

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