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If an optimization objective function produces a graph that is concave, will the global optimum be a maximum or minimum value? Explain.

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If an optimization objective function pr...

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In the Bass forecasting model, the ___________ measures the likelihood of adoption, assuming no influence from someone who has already purchased (adopted) the product.


A) coefficient of correlation
B) coefficient of imitation
C) coefficient of independence

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One of the ways to formulate the Markowitz model is to


A) maximize the variance of the portfolio subject to a constraint on the expected return of the portfolio.
B) minimize the expected return of the portfolio subject to a constraint on variance.
C) minimize the variance of the portfolio subject to a constraint on the expected return of the portfolio.
D) minimize the expected return of the portfolio with no constraint on variance.

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A feasible solution is __________ if there are no other feasible points with a smaller objective function value in the entire feasible region.


A) a global minimum
B) not a local maximum
C) not a local minimum
D) bowl-shaped

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One of the ways to use the Bass forecasting model is to wait until several periods of data for the problem under consideration are available. This is known as the ___________ approach.


A) branch-and-bound
B) cutting plane
C) rolling-horizon
D) sensible-period

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A(n) __________ is a set of points defining the minimum possible risk for a set of return values.


A) contour
B) efficient frontier
C) unity constraint
D) reduced gradient

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A function that is bowl-shaped down is called a __________ function.


A) concave
B) convex
C) conic
D) linear

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In reviewing the image below, what is the minimum value for this function? In reviewing the image below, what is the minimum value for this function?   A) -8 B) 0 C) -1 D) 1


A) -8
B) 0
C) -1
D) 1

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Which of the following conclusions can be drawn from the below figure using the Bass forecasting model? (Note: Bass forecasting model is given by: Ft = (p + q[Ct - 1 /m]) (m - Ct - 1) Where m = the number of people estimated to eventually adopt the new product, Ct - 1 = the number of people who have adopted the product through time t - 1, Q = the coefficient of imitation, and P = the coefficient of innovation. Which of the following conclusions can be drawn from the below figure using the Bass forecasting model? (Note: Bass forecasting model is given by: F<sub>t</sub> = (p + q[Ct<sub> - 1</sub> /m])  (m - Ct<sub> - 1</sub>)  Where m = the number of people estimated to eventually adopt the new product, Ct<sub> - 1</sub> = the number of people who have adopted the product through time t - 1, Q = the coefficient of imitation, and P = the coefficient of innovation.   A) q < p B) q > p C) m < q D) p > m


A) q < p
B) q > p
C) m < q
D) p > m

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A portfolio optimization model used to construct a portfolio that minimizes risk subject to a constraint requiring a minimum level of return is known as


A) a capital budgeting pricing model.
B) a market share optimization model.
C) the Hauck maximum variance portfolio model.
D) the Markowitz mean-variance portfolio model.

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Using the graph below, the feasible region for the function represented in the graph is Using the graph below, the feasible region for the function represented in the graph is   A) -1 £ X £ 1, -1 £ Y £ 1. B) -1.5 £ X £ 1, 0 £ Y £ 8. C) -1.5 £ X £ 2.0, -1.5 £ Y £ 2.0. D) 0 £ X £ 1, 0 £ Y £ 1.


A) -1 £ X £ 1, -1 £ Y £ 1.
B) -1.5 £ X £ 1, 0 £ Y £ 8.
C) -1.5 £ X £ 2.0, -1.5 £ Y £ 2.0.
D) 0 £ X £ 1, 0 £ Y £ 1.

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In reviewing the image below, the point (0, 0, 0) is a(n) __________ for the given concave function. ​ In reviewing the image below, the point (0, 0, 0)  is a(n)  __________ for the given concave function. ​   A) local maximum B) local minimum C) convergence point D) endpoint


A) local maximum
B) local minimum
C) convergence point
D) endpoint

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The measure of risk most often associated with the Markowitz portfolio model is the


A) expected return of the portfolio.
B) annual interest on the portfolio.
C) variance of the portfolio's return.
D) number of investments listed in the portfolio.

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If a minimization problem has a single global optimum, will it have a local minimum? If yes, can it have more than one local minimum? Explain.

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If a minimization problem has a single g...

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A nonlinear function with at least one term raised to the power of two is known as a


A) hyperbolic function.
B) quadratic function.
C) logarithmic function.
D) cubic function.

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If all the squared terms in a quadratic function have a negative coefficient and there are no cross-product terms, then the function is a __________ function.


A) convex quadratic
B) nonlinear objective
C) concave quadratic
D) negative elliptical

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A global minimum


A) is also a local maximum.
B) need not be a local maximum, but vice versa is true.
C) is also a local minimum.
D) need not be local minimum, but vice versa is true.

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A feasible solution is a(n) __________ if there are no other feasible solutions with a better objective function value in the immediate neighborhood.


A) efficient frontier
B) local optimum
C) global maximum
D) diverging function

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The reduced gradient is analogous to the __________ for linear models.


A) binary variable
B) binding constraint
C) reduced cost
D) objective coefficient

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Which of the following functions yields the shape shown below? ​ Which of the following functions yields the shape shown below? ​   A) f(X, Y)  = X<sup>2</sup> + Y<sup>2</sup> B) f(X, Y)  = Xsin(2πY)  + Ysin(2πX)  C) f(X, Y)  = -X<sup>2</sup> - Y<sup>2</sup> D) f(X, Y)  = Xsin(5πX)  + Ysin(5πY)


A) f(X, Y) = X2 + Y2
B) f(X, Y) = Xsin(2πY) + Ysin(2πX)
C) f(X, Y) = -X2 - Y2
D) f(X, Y) = Xsin(5πX) + Ysin(5πY)

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