Free Practice Quiz Question List

5 Optimization and Decision Models Online Quiz Questions

Use this free practice quiz with 20 questions to review 5 Optimization and Decision Models, test your knowledge, and prepare for your next test or exam.

20 questions
01
Choose one
1 point

A company chooses production quantities to make its total manufacturing cost as small as possible while meeting demand and capacity restrictions. Which expression represents the objective of the model?

  1. A

    The amount of raw material available

  2. B

    The total cost of the production plan

  3. C

    The maximum number of products allowed

  4. D

    The set of production plans satisfying all restrictions

02
True or false
1 point

True or false: For a differentiable function on a closed interval, checking only interior points where the derivative is zero is sufficient to find the absolute maximum and minimum.

  1. A

    True

  2. B

    False

03
Written response
1 point

Three sides of a rectangular garden are fenced with 100 metres of fencing, while the fourth side borders a wall. If xx is the width perpendicular to the wall, the area is A(x)=100x−2x2A(x)=100x-2x^2 for 0≤x≤500\leq x\leq 50. What is the maximum area, in square metres? Enter the exact numerical value.

04
Fill in the blank
1 point

Complete the statements about an optimization model. A quantity under the decision maker’s control is a . An equation or inequality that restricts allowable choices is a .

05
Choose one
1 point

A decision model has objective function P(x)=40x−x2P(x)=40x-x^2, the constraint x≥0x\geq 0, and no requirement that xx be an integer. How should this model be classified based on the form of its functions?

  1. A

    A linear program

  2. B

    An integer program

  3. C

    A nonlinear program

  4. D

    A binary model

06
True or false
1 point

True or false: For an equality-constrained optimization problem, the Lagrange multiplier condition states that the gradients of the objective and constraint are parallel at a candidate optimum.

  1. A

    True

  2. B

    False

07
Written response
1 point

What is the term for a constraint that holds with equality at an optimal solution?

08
Fill in the blank
1 point

Complete the Lagrange multiplier system for optimizing f(x,y)f(x,y) subject to g(x,y)=cg(x,y)=c. The system includes together with .

09
Choose one
1 point

For f(x,y)=x+yf(x,y)=x+y on the region x≥0x\geq 0, y≥0y\geq 0, and x+y≤10x+y\leq 10, which statement is correct?

  1. A

    The minimum is 10 at every point on x+y=10x+y=10

  2. B

    The maximum is 0 at (0,0)(0,0)

  3. C

    The maximum is 10 at every feasible point on x+y=10x+y=10

  4. D

    There is no maximum because the region has a boundary

10
Open ended
1 point

Formulate an optimization model for a manufacturer that chooses quantities xx and yy of two products. Profit is $40\$40 per unit of the first product and $30\$30 per unit of the second, while machine time is limited by 2x+y≤1002x+y\leq 100. State the variables, objective, constraints, and any appropriate variable-domain restriction. Briefly explain what must be done after formulation to identify and interpret the optimum.

11
Choose one
1 point

A transportation model decides how many buses to use. A continuous relaxation produces x=3.6x=3.6. What is the appropriate modeling response?

  1. A

    Rounding is always valid because the objective is unchanged

  2. B

    The variable should be declared integer from the beginning

  3. C

    Integer restrictions matter only after the model has been solved

  4. D

    A fractional number of buses is feasible if the fraction is small

12
Choose one
1 point

A manufacturer chooses quantities xx and yy of two products. Profit is P(x,y)=40x+30yP(x,y)=40x+30y, subject to 2x+y≤1002x+y\leq 100 and nonnegativity restrictions. Which part of the model is the objective function?

  1. A

    2x+y≤1002x+y\leq 100

  2. B

    P(x,y)=40x+30yP(x,y)=40x+30y

  3. C

    x≥0x\geq 0 and y≥0y\geq 0

  4. D

    The set of all feasible pairs (x,y)(x,y)

13
Choose one
1 point

For a differentiable function optimized on a closed interval [a,b][a,b], which candidates must be evaluated to find an absolute maximum or minimum?

  1. A

    Only points where f′(x)=0f'(x)=0

  2. B

    Only the two endpoints

  3. C

    Interior critical numbers and both endpoints

  4. D

    Only points where f′(x)f'(x) does not exist

14
Choose one
1 point

A transit model uses xx to represent the number of buses purchased. Which modeling change is necessary before solving the optimization problem?

  1. A

    Allow any real value of xx and round only the objective value

  2. B

    Remove the capacity constraints before solving

  3. C

    Allow negative values so the model has more choices

  4. D

    Require xx to be an integer in the model

15
Choose one
1 point

At a critical point of a twice-differentiable function of two variables, suppose D=fxxfyy−(fxy)2>0D=f_{xx}f_{yy}-(f_{xy})^2>0 and fxx>0f_{xx}>0. What does the second-derivative test conclude?

  1. A

    A local minimum

  2. B

    A local maximum

  3. C

    A saddle point

  4. D

    An inconclusive result

16
True or false
1 point

True or false: Checking only interior critical points is sufficient to find the absolute maximum and minimum of an objective on a closed, bounded feasible region.

  1. A

    True

  2. B

    False

17
Written response
1 point

A rectangular garden has three fenced sides and a wall as the fourth side. With 100 metres of fencing, the area is A(x)=100x−2x2A(x)=100x-2x^2 for 0≤x≤500\leq x\leq 50, where xx is the width perpendicular to the wall. What width xx, in metres, gives the maximum area?

18
Written response
1 point

What term names the set of all choices that satisfy every constraint in an optimization model?

19
Choose all
1 point

An optimization model recommends a decision using a particular objective, set of constraints, data values, and assumptions. Select all conclusions that are justified by the model's result.

  1. A

    The recommendation is optimal only under the stated objective, data, constraints, and assumptions.

  2. B

    Any change in an input will leave the recommendation optimal.

  3. C

    Practical checks involving uncertainty, safety, fairness, capacity, or implementation cost may still be necessary.

  4. D

    The recommendation is guaranteed to be best under all future conditions.

  5. E

    Changing the objective or an important input may require the model to be reevaluated.

20
Choose all
1 point

An optimization procedure identifies an interior point as a local maximum of an objective function. Select all statements that are logically justified by this information alone.

  1. A

    The objective value is at least as large as nearby feasible objective values.

  2. B

    The point is automatically the global maximum over every feasible point.

  3. C

    Other feasible candidates may need to be examined before claiming a global maximum.

  4. D

    The local result alone does not establish that no better feasible point exists elsewhere.

  5. E

    A local maximum can never also be a global maximum.